bth.se
Please wait ...
Simple search
Advanced search -
Research publications
Advanced search -
Student theses
Statistics
English
Svenska
Norsk
Jump to content
Change search
Search
Search
Only documents with full text in DiVA
Cite
Export
BibTex
CSL-JSON
CSV 1
CSV 2
CSV 3
CSV 4
CSV 5
CSV all metadata
CSV all metadata version 2
RIS
Mods
MARC-XML
ETDMS
Link to record
Permanent link
https://urn.kb.se/resolve?urn=urn:nbn:se:bth-23867
Direct link
http://bth.diva-portal.org/smash/record.jsf?pid=diva2:1710028
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
Other locale
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
More languages
Output format
html
text
asciidoc
rtf
html
text
asciidoc
rtf
Create
Close
Comparison of pre-trained Convolutional Neural Network (CNN) architectures for classification of organic and recyclable materials from solid waste.
Mandle, Nandakishore Reddy
Chikkala, Naga Veera Sai Ram
2022 (English)
Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE credits
Student thesis
Place, publisher, year, edition, pages
2022. , p. 38
National Category
Computer Sciences
Identifiers
URN:
urn:nbn:se:bth-23867
OAI: oai:DiVA.org:bth-23867
DiVA, id:
diva2:1710028
Subject / course
DV1478 Bachelor Thesis in Computer Science
Educational program
DVGDT Bachelor Qualification Plan in Computer Science 60.0 hp
Supervisors
Josyula, Sai Prashanth
Examiners
Goswami, Prashant
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
Available from:
2022-11-16
Created:
2022-11-10
Last updated:
2022-11-16
Bibliographically approved
Open Access in DiVA
Comparison of pre-trained Convolutional Neural Network (CNN) architectures for classification of organic and recyclable materials from solid waste.
(559 kB)
1161 downloads
File information
File name
FULLTEXT02.pdf
File size
559 kB
Checksum
SHA-512
a2c62cad79a99533111f92526c3cfc968f83b782b0865c381271e17725304a59b5c5d26a40009529d2596251bd3b2f67e85a0fc955197ff47a394279181e4314
Type
fulltext
Mimetype
application/pdf
On the subject
Computer Sciences
Search outside of DiVA
Google
Google Scholar
Total: 1161 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available
urn-nbn
Altmetric score
urn-nbn
Total: 91 hits
Cite
Export
BibTex
CSL-JSON
CSV 1
CSV 2
CSV 3
CSV 4
CSV 5
CSV all metadata
CSV all metadata version 2
RIS
Mods
MARC-XML
ETDMS
Link to record
Permanent link
https://urn.kb.se/resolve?urn=urn:nbn:se:bth-23867
Direct link
http://bth.diva-portal.org/smash/record.jsf?pid=diva2:1710028
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
Other locale
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
More languages
Output format
html
text
asciidoc
rtf
html
text
asciidoc
rtf
Create
Close
v. 2.43.0
|
WCAG
|
BTH Library
|
Publish/Register
|
How to publish/register
|
Diva portal
|
SwePub
|
Uppsök
DiVA
Logotyp