5G TRAFFIC FORECASTING USING FEDERATED LEARNING. (Record no. 198687)

MARC details
000 -LEADER
fixed length control field 00605nam a22001817a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231017111459.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231017b |||||||| |||| 00| 0 eng d
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name KALAM, ABDUL
245 ## - TITLE STATEMENT
Title 5G TRAFFIC FORECASTING USING FEDERATED LEARNING.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Year of publication 2023
300 ## - PHYSICAL DESCRIPTION
Number of Pages 98p
502 ## - DISSERTATION NOTE
Dissertation note THIS THESIS BELONGS TO DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name SAMAYVEER SINGH
710 ## - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING, DR. B.R.AMBEDKAR NATIONAL INSTITUTE OF TECHNOLOGY, JALANDHAR-144008
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis & Dissertations
Holdings
Damaged status Collection code Permanent Location Current Location Date acquired Full call number Accession Number Koha item type
  Reference Central Library, NIT Jalandhar Central Library, NIT Jalandhar 17.10.2023 005 KA-T ETS/CSE/2023/274 Thesis & Dissertations
Managed by: Dr. D. P. Tripathi, Deputy Librarian, Central Library
For any query / question, please mail at circulation.liby@nitj.ac.in 

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