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How to Improve the Detection of Ships from Satellite Images by employing Convolutional Neural Network Using Convolutional Block Attention Modules
Immella, Srinivas Sai Charan
Annapureddy, Sruthi
2022 (English)
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Place, publisher, year, edition, pages
2022.
National Category
Computer Sciences
Identifiers
URN:
urn:nbn:se:bth-22690
OAI: oai:DiVA.org:bth-22690
DiVA, id:
diva2:1641924
Subject / course
DV2572 Master´s Thesis in Computer Science
Educational program
DVADA Master Qualification Plan in Computer Science
Supervisors
Henesey, Lawrence Edward
Blekinge Institute of Technology, Department of Software Engineering and Computer Science.
Examiners
Mendes, Emilia
Available from:
2022-03-03
Created:
2022-03-03
Last updated:
2022-03-03
Bibliographically approved
Open Access in DiVA
How to Improve the Detection of Ships from Satellite Images by employing Convolutional Neural Network Using Convolutional Block Attention Modules
(892 kB)
868 downloads
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FULLTEXT02.pdf
File size
892 kB
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47c23f4b71a956f590e28b4dbc2d575257dc7045f9d054d5f55d85cbeda3fbb4a481af4cf39d159acd0adb64397d67f69a9c0d118250eb502685086a5f2bc0cf
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fulltext
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Computer Sciences
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Total: 869 downloads
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Permanent link
https://urn.kb.se/resolve?urn=urn:nbn:se:bth-22690
Direct link
http://bth.diva-portal.org/smash/record.jsf?pid=diva2:1641924
Cite
Citation style
apa
ieee
modern-language-association-8th-edition
vancouver
Other style
apa
ieee
modern-language-association-8th-edition
vancouver
Other style
More styles
Language
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
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en-GB
en-US
fi-FI
nn-NO
nn-NB
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