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  • 1.
    Alsolai, Hadeel
    et al.
    Princess Nourah Bint Abdulrahman Univ, SAU.
    Qureshi, Shahnawaz
    Natl Univ Comp & Emerging Sci, PAK.
    Iqbal, Syed Muhammad Zeeshan
    BrightWare LLC, SAU.
    Ameer, Asif
    Natl Univ Comp & Emerging Sci, PAK.
    Cheaha, Dania
    Prince Songkla Univ, THA.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Karrila, Seppo
    Prince Songkla Univ, THA.
    Employing a Long-Short-Term Memory Neural Network to Improve Automatic Sleep Stage Classification of Pharmaco-EEG Profiles2022In: Applied Sciences, E-ISSN 2076-3417, Vol. 12, no 10, article id 5248Article in journal (Refereed)
    Abstract [en]

    An increasing problem in today's society is the spiraling number of people suffering from various sleep disorders. The research results presented in this paper support the use of a novel method that employs techniques from the classification of sleep disorders for more accurate scoring. Applying this novel method will assist researchers with better analyzing subject profiles for recommending prescriptions or to alleviate sleep disorders. In biomedical research, the use of animal models is required to experimentally test the safety and efficacy of a drug in the pre-clinical stage. We have developed a novel LSTM Recurrent Neural Network to process Pharmaco-EEG Profiles of rats to automatically score their sleep-wake stages. The results indicate improvements over the current methods; for the case of combined channels, the model accuracy improved by 1% and 3% in binary or multiclass classifications, respectively, to accuracies of 93% and 82%. In the case of using a single channel, binary and multiclass LSTM models for identifying rodent sleep stages using single or multiple electrode positions for binary or multiclass problems have not been evaluated in prior literature. The results reveal that single or combined channels, and binary or multiclass classification tasks, can be applied in the automatic sleep scoring of rodents.

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  • 2.
    Alsolai, Hadeel
    et al.
    Princess Nourah bint Abdulrahman University, SAU.
    Qureshi, Shahnawaz
    National University of Computing and Emerging Sciences, PAK.
    Iqbal, Syed Muhammad Zeeshan
    Research and Development, BrightWare LLC, SAU.
    Vanichayobon, Sirirut
    Prince of Songkla University, THA.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Lindley, Craig
    CSIRO Data, AUS.
    Karrila, Seppo
    Prince of Songkla University, THA.
    A Systematic Review of Literature on Automated Sleep Scoring2022In: IEEE Access, E-ISSN 2169-3536, Vol. 10, p. 79419-79443Article, review/survey (Refereed)
    Abstract [en]

    Sleep is a period of rest that is essential for functional learning ability, mental health, and even the performance of normal activities. Insomnia, sleep apnea, and restless legs are all examples of sleep-related issues that are growing more widespread. When appropriately analyzed, the recording of bio-electric signals, such as the Electroencephalogram, can tell how well we sleep. Improved analyses are possible due to recent improvements in machine learning and feature extraction, and they are commonly referred to as automatic sleep analysis to distinguish them from sleep data analysis by a human sleep expert. This study outlines a Systematic Literature Review and the results it provided to assess the present state-of-the-art in automatic analysis of sleep data. A search string was organized according to the PICO (Population, Intervention, Comparison, and Outcome) strategy in order to determine what machine learning and feature extraction approaches are used to generate an Automatic Sleep Scoring System. The American Academy of Sleep Medicine and Rechtschaffen & Kales are the two main scoring standards used in contemporary research, according to the report. Other types of sensors, such as Electrooculography, are employed in addition to Electroencephalography to automatically score sleep. Furthermore, the existing research on parameter tuning for machine learning models that was examined proved to be incomplete. Based on our findings, different sleep scoring standards, as well as numerous feature extraction and machine learning algorithms with parameter tuning, have a high potential for developing a reliable and robust automatic sleep scoring system for supporting physicians. In the context of the sleep scoring problem, there are evident gaps that need to be investigated in terms of automatic feature engineering techniques and parameter tuning in machine learning algorithms.

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  • 3.
    Anwar, Mahwish
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Casalicchio, Emiliano
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    The feasibility of Blockchain solutions in the maritime industry2019Conference paper (Other academic)
    Abstract [en]

    Purpose / Value

    The concept of Blockchain technology in supply chain management is well discussed, yet

    inadequately theorized in terms of its applicability, especially within the maritime industry,

    which forms a fundamental node of the entire supply chain network. More so, the assumptive

    grounds associated with the technology have not been openly articulated, leading to unclear

    ideas about its applicability.

    Design/methodology/approach

    The research is designed divided into two Stages. This paper (Stage one) enhanced

    literature review for data collection in order to gauge the properties of the Blockchain

    technology, and to understand and map those characteristics with the Bill of Lading

    process within maritime industry. In Stage two an online questionnaire is conducted to

    assess the feasibility of Blockchain technology for different maritime use-cases.

    Findings

    The research that was collected and analysed partly from deliverable in the

    Connect2SmallPort Project and from other literature suggests that Blockchain can be an

    enabler for improving maritime supply chain. The use-case presented in this paper highlights

    the practicality of the technology. It was identified that Blockchain possess characteristics

    suitable to mitigate the risks and issues pertaining to the paper-based Bill of Lading process.

    Research limitations

    The study would mature further after the execution of the Stage Two. By the end of both

    Stages, a framework for Blockchain adoption with a focus on the maritime industry would

    be proposed.

    Practical implications

    The proposed outcome indicated the practicality of technology, which could be beneficial

    for the port stakeholders that wish to use Blockchain in processing Bill of Lading or

    contracts.

    Social implications

    The study may influence the decision makers to consider the benefits of using the Blockchain

    technology, thereby, creating opportunities for the maritime industry to leverage the

    technology with government’s support.

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  • 4.
    Bai, Guohua
    et al.
    Blekinge Institute of Technology, School of Computing.
    Henesey, Lawrence
    Blekinge Institute of Technology, School of Computing.
    Coping with System Sustainability: A Sociocybernetics Framework for Social-Economic System Architecture2012In: Systems research and behavioral science, ISSN 1092-7026, E-ISSN 1099-1743, Vol. 29, no 3, p. 263-273Article in journal (Refereed)
    Abstract [en]

    This paper proposes an epistemological model based on cybernetic principles and activity theory to interpret two levels of problems that are intertwined in our social-economic system, namely the liveability and sustainability problems. In the first part of the paper, important principles and concepts from related fields of cybernetics and activity theory are introduced for later construction of a model. In the second part, a model is constructed based on the introduced concepts. To validate the proposed model, the current economic crisis is studied in the third part. An important contribution of the proposed model is a theoretical understanding of the two levels problems, and how to construct macro social-economical policies to avoid similar crisis in the future.

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  • 5.
    Bakhtyar, Shoaib
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Freight transport prediction using electronic waybills and machine learning2014In: 2014 International Conference on Informative and Cybernetics for Computational Social Systems, IEEE Computer Society, 2014, p. 128-133Conference paper (Refereed)
    Abstract [en]

    A waybill is a document that accompanies the freight during transportation. The document contains essential information such as, origin and destination of the freight, involved actors, and the type of freight being transported. We believe, the information from a waybill, when presented in an electronic format, can be utilized for building knowledge about the freight movement. The knowledge may be helpful for decision makers, e.g., freight transport companies and public authorities. In this paper, the results from a study of a Swedish transport company are presented using order data from a customer ordering database, which is, to a larger extent, similar to the information present in paper waybills. We have used the order data for predicting the type of freight moving between a particular origin and destination. Additionally, we have evaluated a number of different machine learning algorithms based on their prediction performances. The evaluation was based on their weighted average true-positive and false-positive rate, weighted average area under the curve, and weighted average recall values. We conclude, from the results, that the data from a waybill, when available in an electronic format, can be used to improve knowledge about freight transport. Additionally, we conclude that among the algorithms IBk, SMO, and LMT, IBk performed better by predicting the highest number of classes with higher weighted average values for true-positive and false-positive, and recall.

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  • 6.
    Bakhtyar, Shoaib
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Mbiydzenyuy, Gideon
    Netport Science Park, Karlshamn.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    A Simulation Study of the Electronic Waybill Service2015In: Proceedings - EMS 2015: UKSim-AMSS 9th IEEE European Modelling Symposium on Computer Modelling and Simulation / [ed] David Al-Dabas, Gregorio Romero, Alessandra Orsoni, Athanasios Pantelous, IEEE Computer Society, 2015, p. 307-312Conference paper (Refereed)
    Abstract [en]

    We present results from a simulation study, whichwas designed for investigating the potential positive impacts, i.e., the invoicing and processing time, and financial savings,when using an electronic waybill instead of paper waybillsfor road-based freight transportation. The simulation modelis implemented in an experiment for three different scenarios,where the processing time for waybills at the freight loadingand unloading locations in a particular scenario differs fromother scenarios. The results indicate that a saving of 65%–99%in the invoicing time can be achieved when using an electronicwaybill instead of paper waybills. Our study can be helpful todecision makers, e.g., managers and staff dealing with paperwaybills, to estimate the potential benefits when making deci-sions concerning the implementation of an electronic waybillsolution for replacing paper waybills.

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  • 7. Davidsson, Paul
    et al.
    Henesey, Lawrence
    Ramstedt, Linda
    Törnquist, Johanna
    Wernstedt, Fredrik
    Agent-Based Approaches to Transport Logistics2004Conference paper (Refereed)
    Abstract [en]

    This paper provides a survey of existing research on agent-based approaches to transportation and traffic management. A framework for describing and assessing this work will be presented and systematically applied. We are mainly adopting a logistical perspective, thus focusing on freight transportation. However, when relevant, work of traffic and transport of people will be considered. A general conclusion from our study is that agent-based approaches seem very suitable for this domain, but that this still needs be verified by more deployed system.

  • 8. Davidsson, Paul
    et al.
    Henesey, Lawrence
    Ramstedt, Linda
    Törnquist, Johanna
    Wernstedt, Fredrik
    An Analysis of Agent-Based Approaches to Transport Logistics2005In: Transportation Research Part C: Emerging Technologies, ISSN 0968-090X , Vol. 13, no 4, p. 255-271Article in journal (Refereed)
    Abstract [en]

    This paper provides a survey of existing research on agent-based approaches to transportation and traffic management. A framework for describing and assessing this work will be presented and systematically applied. We are mainly adopting a logistical perspective, thus focusing on freight transportation. However, when relevant, work of traffic and transport of people will be considered. A general conclusion from our study is that agent-based approaches seem very suitable for this domain, but that this still needs to be verified by more deployed system.

  • 9. Davidsson, Paul
    et al.
    Henesey, Lawrence
    Ramstedt, Linda
    Wernstedt, Fredrik
    Agent-Based Approaches to Transport Logistics2005In: Applications of Agent Technology in Traffic and Transportation, Whitestein Series in Software Agent Technologies / [ed] Klügl, Ana;; Ossowski, Franziska;; , Birkhäuser , 2005Chapter in book (Other academic)
  • 10. Henesey, Lawrence
    A Multi Agent Based Simulator for Managing a Container Terminal2004Conference paper (Refereed)
  • 11. Henesey, Lawrence
    Application of Transaction Costs in Analyzing Transport Corridors Using Multi-Agent Based Simulation2006In: Promet Traffic & Transportation: Scientific Journal on Traffic and Transportation Research, ISSN 0353-5320, Vol. 18, no 2, p. 59-65Article in journal (Refereed)
  • 12. Henesey, Lawrence
    Enhancing Container Terminal Performance: A Multi Agent Systems Approach2004Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    This thesis seeks to understand and attempt to solve some of the problems that are facing many decision makers at container terminals. The growth of containerization, transporting goods in a container, has created many problems for ports, i.e. higher requirements on terminals and infrastructure. many container terminals are reaching their capacity limits and increasingly leading to traffic and port congestion. the focus of the research involves the performance from the container terminal manager´s perspective and how to improve the understanding of the factors of productivity and how they are related to each other.

  • 13. Henesey, Lawrence
    More than just Piers: a multi-agent system in defining organisation in a seaport terminal management system2003Conference paper (Refereed)
  • 14. Henesey, Lawrence
    Multi-Agent Systems for Container Terminal Management2006Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    This thesis describes research concerning the application of multi-agent based simulation for evaluating container terminal management operations. The growth of containerization, i.e., transporting goods in a container, has created problems for ports and container terminals. For instance, many container terminals are reaching their capacity limits and increasingly leading to traffic and port congestion. Container terminal managers have several, often conflicting goals, such as serve a container ship as fast as possible while minimizing terminal equipment costs The focus of the research involves the performance from the container terminal manager’s perspective and how to improve the understanding of the factors of productivity and how they are related to each other. The need to manage complex systems such as container terminals requires new ways for finding solutions, e.g., by applying novel methods and technologies. The approach taken in this thesis is to model the decision makers involved in the container terminal operations and various types of terminal equipment, e.g., cranes, transporters, etc., as software agents. The general question addressed in this work is: can the performance of a container terminal be improved by using agent-based technologies? In order to evaluate the multi-agent based systems approach, a simulation tool, called SimPort, was developed for evaluating container terminal management policies. The methods for modelling the entities in a container terminal are presented along with the simulation experiments conducted. The results indicate that certain policies can yield faster ship turn-around times and that certain stacking policies can lead to improved productivity. Moreover, a multi-agent based simulation approach is used to evaluate a new type of Automated Guided Vehicles (AGVs) using a cassette system, and compare it to a traditional AGV system. The results suggest that the cassette-based system is more cost efficient than a traditional AGV system in certain configurations. Finally, an agent-based approach is investigated for evaluating the governance structure of the stakeholders involved in a transport corridor. The results of the research indicate that the performance of a container terminal can be improved by using agent-based technologies. This conclusion is based upon several studies, both conceptual and concrete simulation experiments. In particular, multi-agent based simulation seems to offer container terminal management a suitable tool to control, coordinate, design, evaluate and improve productivity.

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  • 15. Henesey, Lawrence
    et al.
    Aslam, Khurum
    Khurum, Mahvish
    Task Coordination of Automated Guided Vehicles in a Container Terminal2006Conference paper (Refereed)
  • 16. Henesey, Lawrence
    et al.
    Davidsson, Paul
    Persson, Jan A.
    Agent Based Simulation Architecture for Evaluating Operational Policies in Transshipping Containers2006Conference paper (Refereed)
  • 17. Henesey, Lawrence
    et al.
    Davidsson, Paul
    Persson, Jan A.
    Agent Based Simulation Architecture for Evaluating Operational Policies in Transshipping Containers2006In: Multiagent System Technologies: 4th German Conference (MATES 2006), Springer , 2006, p. 73-85Chapter in book (Other academic)
  • 18. Henesey, Lawrence
    et al.
    Davidsson, Paul
    Persson, Jan A.
    Agent based simulation architecture for evaluating operational policies in transshipping containers2009In: AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, Springer , 2009, Vol. 18, no 2, p. 220-238Conference paper (Refereed)
    Abstract [en]

    An agent based simulator for evaluating operational policies in the transshipment of containers in a container terminal is described. The simulation tool, called SimPort, is a decentralized approach to simulating managers and entities in a container terminal. Real data from two container terminals are used as input for evaluating eight transshipment policies. The policies concern the sequencing of ships, berth allocation, and stacking rule. They are evaluated with respect to a number of aspects, such as, turn-around time for ships and traveled distance of straddle carriers. The simulation results indicate that a good choice in yard stacking and berthing position policies can lead to faster ship turn-around times. For instance, in the terminal studied the Overall-Time-Shortening policy offers fast turn-around times when combined with a Shortest-Job-First sequencing of arriving ships.

  • 19. Henesey, Lawrence
    et al.
    Davidsson, Paul
    Persson, Jan A.
    Evaluating Container Terminal Transhipment Operational Policies: An Agent-Based Simulation Approach2006In: WSEAS Transactions on Computers, ISSN 1109-2750, E-ISSN 2224-2872, Vol. 5, no 9, p. 2090-2098Article in journal (Refereed)
  • 20. Henesey, Lawrence
    et al.
    Davidsson, Paul
    Persson, Jan A.
    Evaluation of Automated Guided Vehicle Systems for Container Terminals Using Multi Agent Based Simulation2009Conference paper (Refereed)
    Abstract [en]

    Due to globalization and the growth of international trade, many container terminals are trying to improve performance in order to keep up with demand. One technology that has been proposed is the use of Automated Guided Vehicles (AGVs) in the handling of containers within terminals. Recently, a new generation of AGVs has been developed which makes use of cassettes that can be detached from the AGV. We have developed an agent-based simulator for evaluating the cassette-based system and comparing it to a more traditional AGV system. In addition, a number of different configurations of container terminal equipment, e.g., number of AGVs and cassettes, have been studied in order to find the most efficient configuration. The simulation results suggest that there are configurations in which the cassette-based system is more cost efficient than a traditional AGV system, as well as confirming that multi agent based simulation is a promising approach to this type of applications.

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  • 21. Henesey, Lawrence
    et al.
    Davidsson, Paul
    Persson, Jan A.
    Simulation of Operational Policies for Transhipment in a Container Terminal2006Conference paper (Refereed)
  • 22.
    Henesey, Lawrence
    et al.
    Blekinge Institute of Technology, School of Computing.
    Davidsson, Paul
    Blekinge Institute of Technology, School of Computing.
    Persson, Jan A.
    Blekinge Institute of Technology, School of Computing.
    Using Simulation in Evaluating Berth Allocation at a Container Terminal2004Conference paper (Refereed)
    Abstract [en]

    The operations and decision making at a container terminal have been simulated. A Berth Allocation Management System – (BAMS) has been built which consists of two parts: a container terminal simulator modelling the operations and a management simulator modelling the various actors involved in the allocation of container ships to berths. Together these two parts generate berth schedules for arriving container ships. Two berth assignment policies are evaluated in different scenarios, with various quay lengths, berth spacing lengths, and ship arrival sequences. The decisions in assigning ships with different loading and discharging demands to a limited amount of resources, such as berth space and cranes are analysed with the BAMS. The berths at the container terminal are modelled by the BAMS to be dynamic in the sense that berth segmentation is based on the current situation rather than being static. The policies are evaluated in terms of turn-around time and distance travelled by the straddle carriers. The simulation results indicate that an informed choice of berth assignment policy can provide better use of the available resources, e.g., by reducing turnaround time and/or distance travelled by the straddle carriers.

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  • 23. Henesey, Lawrence
    et al.
    Kerckaert, Koen
    Prospects for Short Sea Shipping2004Conference paper (Refereed)
  • 24.
    Henesey, Lawrence
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Lizneva, Yulia
    (Student).
    Anwar, Mahwish
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    A multi-agent system with blockchain for container stacking and dispatching2019In: 21st International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation, HMS 2019 / [ed] Bottani E.,Bruzzone A.G.,Longo F.,Merkuryev Y.,Piera, Dime University of Genoa , 2019, p. 79-87Conference paper (Refereed)
    Abstract [en]

    Port Logistical Supply chains play a very important role in society. Their complex and adaptive behaviours promote the suggested applications of combining a multiagent system with blockchain for solving complex problems. Several technologies have been proven positively to work in logistics, however the concept of combining converging technologies such as blockchain with deep reinforcement multi agent is viewed as a novel approach to solving the complexity that is associated with many facets of logistics. A simulator was developed and tested for the problem of container stacking. The simulation results indicate a more robust approach to currently used tools and methods. © Harbor, Maritime and Multimodal Logistics Modeling and Simulation, HMS 2019.All Rights Reserved.

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  • 25. Henesey, Lawrence
    et al.
    Lizneva, Yulia
    student.
    Philipp, Robert
    Hochschule Wismar, University of Applied Sciences: Technology, Business and Design, DEU.
    Meyer, Christopher
    Hochschule Wismar, University of Applied Sciences: Technology, Business and Design, DEU.
    Gerlitz, Laima
    Hochschule Wismar, University of Applied Sciences: Technology, Business and Design, DEU.
    Improved load planning of RoRo vessels by adopting blockchain and internet-of-things2020In: 22nd International Conference on Harbor, Maritime and Multimodal Logistics Modelling and Simulation, HMS 2020 / [ed] Bottani E.,Bruzzone A.G.,Longo F.,Merkuryev Y.,Piera M.A., Dime University of Genoa , 2020, p. 58-65Conference paper (Refereed)
    Abstract [en]

    Ports are vital to the global economy, as up to 90% of goods are transferred through seaports. With increasing vessel sizes, cargo volumes and higher demand for supply-chain optimization, seaports are required to be more efficient and competitive. In the present study, a proposed solution incorporating IoT and Blockchain is considered into automating many of the activities in the load planning process, which is then evaluated via simulation. Real data is collected concerning different types of cargo for RoPax vessels with the intended goal of reducing planning time in a seaport. The results contribute as one piece of the mosaic on the avenue towards becoming a “Smart Port”, which deploys various digitalization technologies in order to become a fully automated port. The suggested approach to be integrated, builds upon IoT sensors in combination with the lightweight version of a Blockchain to improve balance indicators on a trim of a vessel. A developed simulation tool was used for evaluating a number of scenarios, with each scenario run set to 2500 times. The simulation results indicate an improvement of 50-160% from the current load planning operations for RoPax vessels. © 2020 The Authors.

  • 26.
    Henesey, Lawrence
    et al.
    Blekinge Institute of Technology, School of Computing.
    Mbiydzenyuy, Gideon
    Blekinge Institute of Technology, School of Computing.
    Tools for faster turn-around times in RoRo terminals: Case sudies from Europe: Karlshamn-Klaipeda short sea shipping link2010Conference paper (Refereed)
    Abstract [en]

    The purpose of this study is to develop an optimization model that can select handling equipment and ships from a strategic level. This model can help when investing in systems for handling unitized cargo at port terminals in the context of Short Sea Shipping (SSS). Initial model results indicate that a LoLo vessel with a capacity between (500 and 1000 TEU) capable of completing a SSS voyage, when handling is completed in 48 hours will be less costly than a RoRo, which may have multiple voyages for TEU volumes greater than 1000.

  • 27. Henesey, Lawrence
    et al.
    Notteboom, T.
    Davidsson, Paul
    Agent-based simulation of stakeholders relations: An approach to sustainable port terminal management2003Conference paper (Refereed)
  • 28.
    Henesey, Lawrence
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Silonosov, Alexandr
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Meyer, Christopher
    Hochschule Wismar, University of Applied Sciences, DEU.
    Gerlitz, Laima
    Tallinn University of Technology, EST.
    Smart Container Stacking in the Yard2021In: International Conference on Harbour, Maritime and Multimodal Logistics Modelling and Simulation, CAL-TEK , 2021, p. 37-44Conference paper (Refereed)
    Abstract [en]

    The workloads at seaport container terminals are increasing; thus, to enhance performance, the focus on improving container stacking is argued to be an integral factor that should be studied. The main problem is the number of unproductive moves of handling containers. A well-planned stacking area is argued to be a key requirement in order to increase the performance of the terminal operations and assist in maximum utilization of existing resources. In this work, we investigated and then propose the best possible solution by evaluating GAs in order to minimize the unproductive moves often witnessed in terminal operations. A discrete-event simulation CSS model has been developed to study the inbound container stacking that considers in the model the following: the working of the yard crane, Automated Guided Vehicles, delivery trucks and obtain the simulation-based results of GA. We propose a mathematical model to minimize the container handling costs during stacking and retrieval operations in the container terminal yard. © 2021 The Authors.

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  • 29. Henesey, Lawrence
    et al.
    Törnquist, Johanna
    Enemy at the gates: Introduction of Multi-Agents in a Terminal Information Community.2002Conference paper (Refereed)
    Abstract [en]

    The multi-agent system (MAS) approach which offers suitable means of control, coordination and management in container terminal domain is discussed. The transport providers and actors can improve individual performance and service by sharing information with introduction of 'information society' to logistics chains. The actors involved in physical and information flows are mapped with agents who have abilities to search, coordinate, communicate and negotiate with other agents in order to complete the specified gaol in MAS approach. The information society members benefits from information sharing with use of multi-agents.

  • 30. Henesey, Lawrence
    et al.
    Wernstedt, Fredrik
    Davidsson, Paul
    Market Based Approach to Container Terminal Management.2002Conference paper (Refereed)
  • 31. Henesey, Lawrence
    et al.
    Wernstedt, Fredrik
    Davidsson, Paul
    Market-Driven Control in Container Terminal Management2003Conference paper (Refereed)
  • 32. Henesey, Lawrence
    et al.
    Young, M.
    Short Sea Shipping in the United States: Identifying the Prospects and Opportunities2006Conference paper (Refereed)
  • 33.
    Madjidian, Josefin
    et al.
    World Maritime Univ, SWE.
    Dalaklis, Dimitrios
    World Maritime Univ, SWE.
    Paulauskas, Vytatutas
    Klaipeda Univ, Klaipeda, LIT.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Olcer, Aykut I.
    World Maritime Univ, Swe.
    Ballini, Fabio
    World Maritime Univ, SWE.
    Kitada, Momoko
    World Maritime Univ, SWE.
    Developing a Strategy for Liquefied Natural Gas Powered Transport Corridors in the Baltic Sea Region2018In: TRENDS AND CHALLENGES IN MARITIME ENERGY MANAGEMENT / [ed] Olcer, AI Kitada, M Dalaklis, D Ballini, F, SPRINGER INTERNATIONAL PUBLISHING AG , 2018, p. 383-399Conference paper (Refereed)
  • 34.
    Martin Sagayam, K.
    et al.
    Karunya University, IND.
    Ho, Chung Ching
    Multimedia University, MYS.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Bestak, Robert
    Ceske vysoke uceni technicke v Praze, CZE.
    3D scenery learning on solar system by using marker based augmented reality2018In: 4th International Conference of the Virtual and Augmented Reality in Education, VARE 2018, Dime University of Genoa , 2018, p. 139-143Conference paper (Refereed)
    Abstract [en]

    Augmented reality (AR) is the technology that works on computer vision based recognition algorithms to augment sound, video, graphics and other sensor based inputs and real world objects using the camera of your device. AR applications can become the backbone of education industry. Apps are being developed which are embed text, images and videos, as well as the real-world curriculums. With help of AR, travellers can access real-time information of historical places just by pointing their camera viewfinder to subjects. There are two major forms of augmented reality, marker-based AR and markerless AR. A marker based AR works on concept of target recognition. The target can be 3D object, text, image, QR Code or human-face called markers. Whereas marker-less AR, also known as location-based AR, uses GPS of mobile devices to record the device position and displays information relative to that location. Few drawbacks in marker-less AR like house resolution, size variation and time delay can be solved using marker based algorithms such as marker detection, triangle similarity for marker to camera distance and corner detection. Copyright © (2015) by CAL-TEK S.r.l.All rights reserved. . All Rights Reserved.

  • 35.
    Martin Sagayam, K.
    et al.
    Karunya Institute of Technology and Sciences, IND.
    Timothy, Alex Joe
    Karunya Institute of Technology and Sciences, IND.
    Ho, Chiung Ching
    Sunway University, MYS.
    Henesey, Lawrence
    Bestak, Robert
    Czech Technical University in Prague, CZE.
    Augmented reality-based solar system for e-magazine with 3-D audio effect2020In: International Journal of Simulation and Process Modelling, ISSN 1740-2123, E-ISSN 1740-2131, Vol. 15, no 6, p. 524-534Article in journal (Refereed)
    Abstract [en]

    Augmented reality (AR) is the newest technology that can be applied to computer vision, audio, video and other sensor-based input projects into 3D vision. It is the backbone for all specialisation of science, medical and engineering concepts. Currently, the reading and learning method through AR-based approaches are quite highly intensive than the existing methods such as papers, books and magazines. This strategy is more expensive but it is more interactive to the user in understanding the root concepts in an effective manner. This paper explores the experiment on solar system revolution pattern along with 3D audio effect in spatial dimension. This novel idea inculcates more vibrancy in the current generation of students to understand the concepts with the clear illustrations and demonstrations. © 2020 Inderscience Enterprises Ltd.

  • 36.
    Martin Sagayam, K.
    et al.
    Karunya Institute of Technology and Sciences, IND.
    Vedha Viyas, T.
    Karunya University, IND.
    Ho, Chiung Ching
    Karunya University, IND.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Virtual Robotic Arm Control with Hand Gesture Recognition and Deep Learning Strategies2017In: Deep Learning for Image Processing Applications, IOS Press BV , 2017, Vol. 31, p. 50-67Chapter in book (Refereed)
    Abstract [en]

    Hand gestures and Deep Learning Strategies can be used to control a virtual robotic arm for real-time applications. A robotic arm which is portable to carry various places and which can be easily programmed to do any work of a hand and is controlled by using deep learning techniques. Deep hand is a combination of both virtual reality and deep learning techniques. It estimated the active spatio-temporal feature and the corresponding pose parameter for various hand movements, to determine the unknown pose parameter of hand gestures by using various deep learning algorithms. A novel framework for hand gestures has been made to estimate by using a deep convolution neural network (CNN) and a deep belief network (DBN). A comparison in terms of accuracy and recognition rate has been drawn. This helps in analyzing the movement of a hand and its fingers which can be made to control a robotic arm with high recognition rate and less error rate. © 2017 The authors and IOS Press. All rights reserved.

  • 37.
    Meyer, Christopher
    et al.
    Hochschule Wismar, University of Applied Sciences: Technology, Business and Design, DEU.
    Gerlitz, Laima
    Hochschule Wismar, University of Applied Sciences: Technology, Business and Design, DEU.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Cross-Border Capacity-Building for Port Ecosystems in Small and Medium-Sized Baltic Ports2021In: Baltic Journal of European studies, ISSN 2228-0596, E-ISSN 2228-0588, Vol. 11, no 1, p. 113-132Article in journal (Refereed)
    Abstract [en]

    One of the key challenges related to the threat posed by the COVID-19 pandemic is preservation of employment and protecting staff who are working in port operations and struggling to keep ports operating for ship calls. These activities performed by port labour are deemed to be crucial for the EU and European ports, since 75% of the EU external trade and 30% of intra-EU transport goods are moved by waterborne transport. As a response to the global lockdown and the vulnerability of global supply chains, the majority of international organisations and maritime ports networks have shortlisted measures necessary to keep the severe effects of the lockdown to a minimum. One of the key measures identified is how to limit physical interaction. As an effect, millions of people and organisations across the globe have had to use and/or increase their deployment of digital technologies, such as digital documentation, tracing information systems and digital group-working platforms. Hence, blockchain and data-enabling systems have become to be recognised as a core element maintaining the uninterrupted flow of goods and services at ports. In pursuing uninterrupted trade and keeping ports open and running, this research paper addresses how the current situation afflicts the small and medium-sized ports located on the Baltic Sea which are argued to be critical actors of the port-centric logistics' ecosystem. Given the topicality of this research and addressing the research gap, the authors suggest a conceptual capacity-building framework for port employees. This suggested framework is based on empirical insights: primary and secondary data collected from the project Connect2SmallPorts, part-financed by the Interreg South Baltic Programme 2014-2020 from the European Regional Development Fund (ERDF). The conceptual framework aims towards a practical training programme dedicated to fill in the missing skills or expand the limited competence of human resources and ports' capacity when adapting or advancing digitalisation in the ports' ecosystems. In particular, specific areas of capacity building are addressed and individual solutions suggested to foster a digital transformation of ports. The conceptual training framework is designed as a training tool indicating opportunities to help ports upgrade their competences with the blockchain technology, and to advance their transportation, environmental and economic performance with improved digitalisation. For this purpose, the conducted research employed mixed methods and applied concepts and approaches based on the field of management. For example, the construct of absorptive capacity, organisational learning, transformation, resource-based view and the concept of dynamic capabilities are included in the ecosystem discourse and are linked with open innovation and service design. The research presented in this article provides both theoretical and practical contributions, in which the affected stakeholders can test and utilise the developed tool as well as transfer it to other regions. © 2021 Christopher Meyer et al., published by Sciendo 2021.

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  • 38.
    Mhathesh, T. S. R.
    et al.
    Karunya Institute of Technology and Sciences, IND.
    Andrew, J.
    Karunya Institute of Technology and Sciences, IND.
    Martin Sagayam, K.
    Karunya Institute of Technology and Sciences, IND.
    Henesey, Lawrence
    A 3d convolutional neural network for bacterial image classification2021In: Advances in Intelligent Systems and Computing / [ed] Peter J.D.,Fernandes S.L.,Alavi A.H.,Alavi A.H., Springer , 2021, Vol. 1167, p. 419-431Conference paper (Refereed)
    Abstract [en]

    Identification and analysis of biological microscopy images need high focus and years of experience to master the art. The rise of deep neural networks enables analyst to achieve the desired results with reduced time and cost. Light sheet fluorescence microscopies are one of the types of 3D microcopy images. Processing microscopy images is tedious process as it consists of low-level features. It is necessary to use proper image processing techniques to extract the low-level features of the biological microscopy images. Deep neural networks (DNN) are efficient in extracting the features of images and able to classify with high accuracy. Convolutional neural networks (CNN) are one of the types of neural networks that can provide promising results with less error rates. The ability of CNN to extract the low-level features of images makes it popular for image classification. In this paper, a CNN-based 3D bacterial image classification is proposed. 3D images contain more in-depth features than 2D images. The proposed CNN model is trained on 3D light sheet fluorescence microscopy images of larval zebrafish. The proposed CNN model classifies the bacterial and non-bacterial images effectively. Intense experimental analyses are carried out to find the optimal complexity and to get better classification accuracy. The proposed model provides better results than human comprehension and other traditional machine learning approaches like random forest, support vector classifier, etc. The details of network architecture, regularization, and hyperparameter optimization techniques are also presented. © Springer Nature Singapore Pte Ltd 2021.

  • 39.
    Paulauskas, Vytautas
    et al.
    Klaipeda Shipping Research Centre, LTU.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Paulauskas, Donatas
    Klaipeda University, LTU.
    Ronkaitytė, Leva
    Klaipeda University, LTU.
    Gerlitz, Laima
    Wismar University of Applied Sciences, DEU.
    Jankowski, S.
    Akademia Morska w Szczecinie, POL.
    Canepa, M.
    World Maritime University, SWE.
    LNG bunkering stations location optimization on basis graph theory2018In: Transport Means - Proceedings of the International Conference, Kaunas University of Technology , 2018, p. 660-664Conference paper (Refereed)
    Abstract [en]

    As an alternative to traditional fuel and energy source LNG (Liquefied Natural Gas) has many advantages, such as lower emissions while providing a means of energy for trucks, trains and ships. In focusing on the maritime transport sector the reasons for using LNG make a convincing business case, but lead to many discussions on LNG investments. The key issue has been is: “should investment be implemented first on LNG bunkering stations and then wait for the market to build ships to use the facilities or should investment wait until there is a demand?” Obviously, this creates a “chicken-and-egg” situation on when and where to invest for LNG use to take place. The initial experiences in using LNG in maritime and road transport suggest that the transport firms often take the risk themselves by not only investing into the transport units (ships, trucks) themselves but also invest into the infrastructure as well, e.g., developing LNG bunkering facilities. At the same time with these large initial investments for developing LNG bunkering networks there are more and more requests for identifying optimal solutions, often are based on real LNG fuel demand in ports and on the roads. This paper is oriented on the study for optimal bunkering network creation, which is argued to help with improved efficiency in the supply of LNG fuel to transport users. In addition, optimal investments for LNG bunkering networks can be realized. © 2018 Kaunas University of Technology. All rights reserved.

  • 40.
    Paulauskas, Vytautas
    et al.
    Klaipeda University, LTU.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Paulauskas, Donatas
    Klaipeda University, LTU.
    Simutis, Martynas
    Klaipeda University, LTU.
    Optimizing transportation between ports and the hinterland for decreasing impact to the environment2022In: International Conference on Harbour, Maritime and Multimodal Logistics Modelling and Simulation / [ed] Bottani E., Bruzzone A.G., Longo F., Merkuryev Y., Piera M.A., CAL-TEK , 2022, p. 1-14Conference paper (Refereed)
    Abstract [en]

    Today different transport modes use to deliver cargo between regions, from ports to final destination location or visa-versa. It is quite common to use road transport, which can deliver cargo “from door to door” but road transport causes big environmental impact. Considering alternative possibilities (road, railway and/or inland waterway transport) to decrease environmental impact from transport, it is very important. Based on theoretical and experimental tests, were find optimal solutions, which transport mode make minimum environmental impact and could be the most technically and economically effective solution. Traffic congestion on the roads, in some cases very high railway traffic in some regions, generates requirements by many stakeholders on ways to decrease the environmental impact from transport modes, which studded in Article to find and identify optimal transportation solutions with minimum environmental impact. A theoretical method evaluation conducted on the optimal transportation possibility that minimizes environmental impact. A transport modes environmental comparative index (ECI) is developed and used for evaluations. This paper presents possible alternative transportation conditions based on multi-criteria evaluation system, proposes theoretical basis for the optimal solutions from environmental and economic point of view, and provides for experimental testing during the specific case study, and finally provides recommendations and conclusions. © 2022 The Authors.

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  • 41.
    Paulauskas, Vytautas
    et al.
    Klaipeda University, LTU.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Plačiene, Birute
    Klaipeda University, LTU.
    Jonkus, Martynas
    Klaipeda University, LTU.
    Paulauskas, Donatas
    Klaipeda University, LTU.
    Barzdžiukas, Raimondas
    Klaipeda University, LTU.
    Kaulitzky, Artur
    Klaipeda University, LTU.
    Simutis, Martynas
    Klaipeda University, LTU.
    Optimizing Transportation between Sea Ports and Regions by Road Transport and Rail and Inland Waterway Transport Means Including “Last Mile” Solutions2022In: Applied Sciences, E-ISSN 2076-3417, Vol. 12, no 20, article id 10652Article in journal (Refereed)
    Abstract [en]

    Optimization transportation cargo and passengers between ports and regions are very important, because industrial regions are located some distance from ports. The demand for energy request for the movement of transport is a necessity in the modern world. Transport and activity called transportation are used daily, everywhere, and a lot of energy is needed to power the various transport modes. Today different transport modes are being used to transport passengers and cargo. It is quite common to use road transport, which can transport passengers and cargo from door to door. Considering alternative possibilities (road, railway and/or inland waterway transport), it is important, based on theoretical and experimentation, to identify optimal solutions. In finding transport modes that are either most technically or economically effective, we could unearth possible solutions which would require minimal energy use. Unfortunately, with increased transportation, this often leads to traffic congestion on the roads, which requires additional energy (fuel). This situation generates requirements from many stakeholders in terms of finding ways to decrease the transportation time and energy (fuel) consumed by transport modes. A theoretical method evaluation is conducted on the optimal transportation possibility that minimizes transportation time and energy (fuel) use by employing graph theory, which is presented in this paper. The scientific contribution is the development of a transport modes comparative index, which is then used for evaluations. This paper presents possible alternative transportation conditions based on a multi-criteria evaluation system, proposes a theoretical basis for the optimal solutions from an eco-economic perspective that considers energy, and provides for experimental testing during a specific case study. The final results from the case study provide recommendations and conclusions. © 2022 by the authors.

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  • 42.
    Paulauskas, Vytautas
    et al.
    Klaipeda University, LTU.
    Paulauskas, Donatas
    Klaipeda University, LTU.
    Placiene, Birutė
    Klaipeda University, LTU.
    Barzdziukas, Raimondas
    Klaipeda University, LTU.
    Maksimavicius, Ričardas
    Klaipeda University, LTU.
    Ronkaityte, I.
    Klaipeda University, LTU.
    Gerlitz, Laima
    Wismar University of Applied Sciences, DEU.
    Madjidian, J.
    World Maritime University, SWE.
    Jankowski, S.
    Akademia Morska w Szczecinie, POL.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Optimization modelling of LNG supply chains for development: Case study of Lithuania and Latvia2017In: Transport Means - Proceedings of the International Conference, Kaunas University of Technology , 2017, p. 762-765Conference paper (Refereed)
    Abstract [en]

    The increasing demand for Liquid Natural Gas (LNG) is causing many challenges for users and suppliers worldwide. Though there is strong interest in using LNG, the research published in this paper indicates there are challenges in developing adequate delivery and distribution chains within the supply chain. Ideally, LNG distribution chains should be created on the basis of user demands and need. In this paper we have articulated an optimisation model that considers the various potential users and their characteristics in order to identify if possibilities and prospects exist in developing an adequate LNG supply chain. The case study of Lithuania and Latvia serves as a model from which we are able to use our tool to help identify the factors for success in creating such LNG supply chains. © 2017 Kaunas University of Technology. All rights reserved.

  • 43.
    Paulauskas, Vytautas
    et al.
    Klaipeda University, LTU.
    Philipp, Robert
    University of Applied Sciences, DEU.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Paulauskas, Donatas
    Klaipeda University, LTU.
    Sutnikas, A.
    Klaipeda Science and Technology Park, LTU.
    Meyer, Christopher
    University of Applied Sciences, DEU.
    Gerlitz, Laima
    University of Applied Sciences, DEU.
    Heine, Nils Christian
    Institute for Sustainable Economics and Logistics, DEU.
    Kozyczkowski, K.
    Motus Fundation, POL.
    Zigus, A.
    Klaipeda State Seaport Authority, LTU.
    Silonosov, Alexandr
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Smart Ports’ Influence on Coastal Sustainability2021In: Transport Means - Proceedings of the International Conference, Kauno Technologijos Universitetas , 2021, p. 396-401Conference paper (Refereed)
    Abstract [en]

    Nowadays, ports are actively seeking ways to improve their safety and operational activity. An essential driver in this context is digitalisation. Since seaports are also key actors for the sustainable development of coastal regions, it is important that they transform into smart port ecosystems. Hence, the automation and digitisation of ports’ operations are important not only for the ports themselves, but also for the regions and countries hosting regional port ecosystems. Studies on the digitalisation level of ports bear the potential to detect optimal ways for increasing safety, security and visibility in terms of the digital transformation, as well as attracting passengers and freight flows, which in turn positively affects not only the ports, but particularly also the sustainable development of coastal regions. Therefore, the paper presents the results of a conducted assessment of small and medium-sized ports’ digitisation level as well as introduces ways and recommendations how to improve the level of digitisation on the path towards becoming a smarter port ecosystem. The research builds upon key insights from the Connect2SmallPorts project, part-financed by INTERREG South Baltic Programme 2014–2020. Thereby, the research utilises collected primary data concerning ports located in the Baltic, North and Mediterranean Sea Regions. Thus, the study bases on well-grounded theoretical and practical findings in the maritime science field in the nexus of digital transformation. © 2021 Kaunas University of Technology. All rights reserved.

  • 44.
    Sagayam, K. M.
    et al.
    Karunya University, IND.
    Hemanth, D. J.
    Karunya University, IND.
    Vasanth, X. A.
    Karunya University, IND.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Technology and Aesthetics. Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
    Ho, C. C.
    Multimedia University, Cyberjaya, MYS.
    Optimization of a HMM-based hand gesture recognition system using a hybrid cuckoo search algorithm2018In: Hybrid Metaheuristics for Image Analysis, Springer International Publishing , 2018, p. 87-114Chapter in book (Other academic)
    Abstract [en]

    The authors develop an advanced hand motion recognition system for virtual reality applications using a well defined stochastic mathematical approach. Hand gesture is a natural way of interaction with a computer by interpreting the primitive characteristics of gesture movement to the system. This concerns three basic issues: (1) there is no physical contact between the user and the system, (2) the rotation of the hand gesture can be determined by the geometric features, and (3) the model parameter must be optimized to improve measurement of performance. A comparative analysis of other classification techniques used in hand gesture recognition is carried out on the proposed work hybrid with the bio-inspired metaheuristic approach, namely the cuckoo search algorithm, for reducing the complex trajectory in the hidden Markov model (HMM) model. An experimental result is as to how to validate the HMM model, based on the cost value of the optimizer, in order to improve the performance measures of the system. © Springer International Publishing AG, part of Springer Nature 2018.

  • 45.
    Sagayam, Martin
    et al.
    Karunya University, India.
    Suresh, Sankirthana
    Hemanth D, Jude
    Karunya University, India.
    Henesey, Lawrence
    Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
    Ching Ho, Chiung
    Optimization of SVM-Based Hand Gesture Recognition System Using Particle Swarm Optimization and Plant Growth Simulation Algorithm2019In: The Biometric Computing: Recognition and Registration / [ed] Karm Veer Arya, Robin Singh Bhadoria, Chapman and Hall/CRC , 2019, p. 185-200Chapter in book (Other academic)
    Abstract [en]

    To broaden the view point regarding the usage of the existing optimization technique under the visual computational applications for image processing, this task involves acquisition, pre-processing, extraction, segmentation and classification of high quality data from the real world in order to produce numerical or symbolic information. It can be used to recognize an object, tracking and motion. This also has high scope of improvement on its usage in the pattern recognition process. The pre-processing mainly involves the object localization and features the extraction of a set of training images that has to be separated. The role behind is to involve the collaboration of two optimization techniques that are particle swarm optimization and plant growth algorithm. It helps in realizing the problem with the best solution that may rise up. In case there is poor real-time ability in gesture recognition algorithm, an improved support vector machine classification algorithm of hand gesture recognition is proposed. In proposed system, the performance measure has highly improved in terms of the accuracy rate. The context of this article shows comparative analysis of hand gesture recognition system with particle swarm optimization and plant growth algorithm.

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