4 citations · 6 across the 5 of their papers we have counts for
10 papers
Towards Efficient RRAM-based Quantized Neural Networks Hardware: State-of-the-art and Open Issues
O. Krestinskaya, L. Zhang, K. N. Salama
The increasing amount of data processed on edge and the demand for reducing the energy consumption for large neural network architectures have initiated the transition from traditi…
Analog Image Denoising with an Adaptive Memristive Crossbar Network
O. Krestinskaya, K. N. Salama, A. P. James
Noise in image sensors led to the development of a whole range of denoising filters. A noisy image can become hard to recognize and often require several types of post-processing c…
BackLink: Supervised Local Training with Backward Links
Wenzhe Guo, Mohammed E Fouda, Ahmed M. Eltawil +1
Empowered by the backpropagation (BP) algorithm, deep neural networks have dominated the race in solving various cognitive tasks. The restricted training pattern in the standard BP…
Resistive Neural Hardware Accelerators
Kamilya Smagulova, Mohammed E. Fouda, Fadi Kurdahi +2
Deep Neural Networks (DNNs), as a subset of Machine Learning (ML) techniques, entail that real-world data can be learned and that decisions can be made in real-time. However, their…
Towards Self-Powered Internet of Underwater Things Devices
Jose Ilton de Oliveira Filho, Abderrahmen Trichili, Boon S. Ooi +2
Exploiting light beams to carry information and deliver power is mooted as a potential technology to recharge batteries of future generation Internet of things (IoT) and Internet o…
Scattering theory and cancellation of gravity-flexural waves of floating plates
Mohamed Farhat, Pai-Yen Chen, Hakan Bagci +2
We combine theories of scattering for linearized water waves and flexural waves in thin plates to characterize and achieve control of water wave scattering using floating plates. T…