Fault detection of PV panels using convolutional neural network (Record no. 288952)

MARC details
000 -LEADER
fixed length control field 00587nam#a2200193#i#4500
001 - CONTROL NUMBER
control field 0000357662
003 - CONTROL NUMBER IDENTIFIER
control field 0004
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220309s2021 ##############000#0#eng#d
040 ## - CATALOGING SOURCE
Language of cataloging eng
Description conventions rda
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number THESIS
084 ## - OTHER CLASSIFICATION NUMBER
Classification number THESIS
Item number RAH
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Khalil-Ur-Rehman
245 10 - TITLE STATEMENT
Title Fault detection of PV panels using convolutional neural network
Medium [Book]
365 ## - TRADE PRICE
Price type code 01
Price amount 0.00
521 ## - TARGET AUDIENCE NOTE
Target audience note All
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Thesis
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Khalil-Ur-Rehman SP20-REE-014/WAH
852 ## - LOCATION
Accession No. 10004TP0052018
-- 0.00
Former shelving location Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Price effective from Koha item type
        COMSATS University Wah Campus COMSATS University Wah Campus Main 09/28/2023   THESIS RAH 52018 10004TP0052018 09/28/2023 09/28/2023 Thesis/Dessertations/Reports