Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kh Shahriya Zaman"'
Autor:
Kh Shahriya Zaman, Mamun Bin Ibne Reaz, Ahmad Ashrif Abu Bakar, Mohammad Arif Sobhan Bhuiyan, Norhana Arsad, Mohd Hadri Hafiz Bin Mokhtar, Sawal Hamid Md Ali
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 36, Iss , Pp 101153- (2022)
In the era of smart Internet-of-Things, convolutional neural network (CNN) models with low computational overhead are crucial for low-latency applications in resource-constrained embedded devices. The performance and efficiency of multiplication oper
Externí odkaz:
https://doaj.org/article/3851d33301b549dd86ba6c559e65f20e
Autor:
Arafat Rahman, Muhammad E. H. Chowdhury, Amith Khandakar, Serkan Kiranyaz, Kh Shahriya Zaman, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam, Maymouna Ezeddin, Muhammad Abdul Kadir
Publikováno v:
IEEE Access, Vol 9, Pp 94625-94643 (2021)
Electroencephalography (EEG) based biometric systems are gaining attention for their anti-spoofing capability but lack accuracy due to signal variability at different psychological and physiological conditions. On the other hand, keystroke dynamics-b
Externí odkaz:
https://doaj.org/article/3cd523db56a34ced9d0166444bc6ca1b
Autor:
Kh Shahriya Zaman, Ahmad Ashrif A Bakar, Sawal Hamid Md Ali, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:6068-6088
The staggering innovations and emergence of numerous deep learning (DL) applications have forced researchers to reconsider hardware architecture to accommodate fast and efficient application-specific computations. Applications, such as object detecti
Publikováno v:
2020 IEEE 8th Conference on Systems, Process and Control (ICSPC).
Modern systems rely on wireless communication for data transmission and system control. Power dissipation and circuit area are crucial factors for such communication systems in portable devices. Ring oscillators are the popular choice for voltage-con