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1دورية أكاديمية
المؤلفون: Umer, Muhammad, Aljrees, Turki, Ullah, Saleem, Bashir, Ali Kashif
المصدر: PeerJ Computer Science; Dec2023, p1-26, 26p
مصطلحات موضوعية: MACHINE learning, QUALITATIVE research, RESEARCH personnel, TEXT mining, RANDOM forest algorithms
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2دورية أكاديمية
المؤلفون: Praveen, Arockia, Noorwali, Abdulfattah, Samiayya, Duraimurugan, Khan, Mohammad Zubair, Vincent, PMDR, Bashir, Ali Kashif, Alagupandi, Vinoth
وصف الملف: text
العلاقة: https://e-space.mmu.ac.uk/630867Test/; https://peerj.com/articles/cs-767Test/; https://e-space.mmu.ac.uk/630867/1/ResMem-Net%20memory%20based%20deep%20CNN%20for%20image%20memorability%20estimation.pdfTest; Praveen, Arockia , Noorwali, Abdulfattah , Samiayya, Duraimurugan , Khan, Mohammad Zubair , Vincent, PMDR , Bashir, Ali Kashif ORCID logoorcid:0000-0001-7595-2522 and Alagupandi, Vinoth (2021) ResMem-Net: memory based deep CNN for image memorability estimation. PeerJ Computer Science, 7. e767-e767. ISSN 2376-5992