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 |
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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 |
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