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Develop A Predictive Model & Analyze The Impact On Common Memory Usage In A 5G Radio Unit
Tagirisa, Vijit Sai
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
2024 (English)
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Place, publisher, year, edition, pages
2024.
Keywords [en]
Common Memory, EMCA, Machine Learning, 5G, SHAP
National Category
Computer Sciences
Identifiers
URN:
urn:nbn:se:bth-26008
OAI: oai:DiVA.org:bth-26008
DiVA, id:
diva2:1842132
External cooperation
Ericsson
Subject / course
DV2572 Master´s Thesis in Computer Science
Educational program
DVADA Master Qualification Plan in Computer Science
Supervisors
Josyula, Dr Sai Prashanth, Assistant Professor
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
Examiners
Hu, Yan, Senior Lecturer
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
Available from:
2024-03-12
Created:
2024-03-03
Last updated:
2024-03-12
Bibliographically approved
Open Access in DiVA
fulltext
(1935 kB)
142 downloads
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FULLTEXT01.pdf
File size
1935 kB
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SHA-512
c61de9430faa6461cf4e529dd2ff411b0b6818d4879a530a5444ffe9cf6c53076f17e475b44eac03d923f6a85c81f6dfd5144f999db66cd7b29f467e17a4de7a
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fulltext
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application/pdf
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Department of Computer Science
On the subject
Computer Sciences
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Total: 142 downloads
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https://urn.kb.se/resolve?urn=urn:nbn:se:bth-26008
Direct link
http://bth.diva-portal.org/smash/record.jsf?pid=diva2:1842132
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
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de-DE
en-GB
en-US
fi-FI
nn-NO
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html
text
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rtf
Create
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