Title : Machine learning approches for handwritten character recognition system

Type of Material: Thesis
Title: Machine learning approches for handwritten character recognition system : a case study for Arabic language
Researcher: Omkar, Ali Boraik Salim Boraik
Guide: M., Ravikumar
Department: Department of Computer Science
Publisher: Kuvempu University, Shimoga
Place: Shimoga
Year: 2023
Language: English
Subject: Machine learning approches
Arabic language
Computer Science and Applications
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Computer Science, Kuvempu University, Shimoga, Shimoga; 2023

00000000ntm a2200000ua 4500
001450326
003IN-AhILN
0052023-08-31 17:41:52
008__230831t2023||||ii#||||g|m||||||||||eng||
035__|a(IN-AhILN)th_450326
040__|aKVMP_577451|dIN-AhILN
041__|aeng
100__|aOmkar, Ali Boraik Salim Boraik|eResearcher
110__|aDepartment of Computer Science|bKuvempu University, Shimoga|dShimoga|ein|0U-0232
245__|aMachine learning approches for handwritten character recognition system|ba case study for Arabic language
260__|bKuvempu University, Shimoga|c2023|aShimoga
502__|bPhD|cDepartment of Computer Science, Kuvempu University, Shimoga, Shimoga|d2023
518__|oDate of Notification|d2023-07-15
650__|aComputer Science and Applications|2UGC
650__|aEngineering and Technology|2AIU
653__|aMachine learning approches
653__|aArabic language
700__|aM., Ravikumar|eGuide
905__|anotification

User Feedback Comes Under This section.