Revolutionizing Image Recognition: Next-Generation CNN Architectures for Handwritten Digits and Objects
Paper i proceeding, 2024
Handwriting Recognition
Data Science
Visual Object Recognition
Deep Learning
Deep CNN
Performance Analysis
Författare
Md Nurul Absur
City University of New York (CUNY)
Kazi Fahim Ahmad Nasif
Kennesaw State University
Sourya Saha
City University of New York (CUNY)
Sifat Nawrin Nova
Chalmers, Data- och informationsteknik, Datorteknik
IEEE Symposium on Wireless Technology and Applications, ISWTA
23247843 (ISSN) 23247851 (eISSN)
173-1789798350351354 (ISBN)
Kuala Lumpur, Malaysia,
Ämneskategorier (SSIF 2011)
Datavetenskap (datalogi)
Datorseende och robotik (autonoma system)
DOI
10.1109/ISWTA62130.2024.10651815