1 citations · 1 across the 2 of their papers we have counts for
5 papers
Chimera: A Block-Based Neural Architecture Search Framework for Event-Based Object Detection
Diego A. Silva, Ahmed Elsheikh, Kamilya Smagulova +2
Event-based cameras are sensors that simulate the human eye, offering advantages such as high-speed robustness and low power consumption. Established Deep Learning techniques have…
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…
Wafer Quality Inspection using Memristive LSTM, ANN, DNN and HTM
Kazybek Adam, Kamilya Smagulova, Olga Krestinskaya +1
The automated wafer inspection and quality control is a complex and time-consuming task, which can speed up using neuromorphic memristive architectures, as a separate inspection de…
Memristive LSTM network hardware architecture for time-series predictive modeling problem
Kazybek Adam, Kamilya Smagulova, Alex Pappachen James
Analysis of time-series data allows to identify long-term trends and make predictions that can help to improve our lives. With the rapid development of artificial neural networks,…
Design of CMOS-memristor Circuits for LSTM architecture
Kamilya Smagulova, Kazybek Adam, Olga Krestinskaya +1
Long Short-Term memory (LSTM) architecture is a well-known approach for building recurrent neural networks (RNN) useful in sequential processing of data in application to natural l…