5 citations · 6 across the 7 of their papers we have counts for
9 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…
A Recurrent YOLOv8-based framework for Event-Based Object Detection
Diego A. Silva, Kamilya Smagulova, Ahmed Elsheikh +2
Object detection is crucial in various cutting-edge applications, such as autonomous vehicles and advanced robotics systems, primarily relying on data from conventional frame-based…
Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions
Kamilya Smagulova, Mohammed E. Fouda, Ahmed Eltawil
The higher speed, scalability and parallelism offered by ReRAM crossbar arrays foster development of ReRAM-based next generation AI accelerators. At the same time, sensitivity of R…
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…
CMOS-Memristor Hybrid Integrated Pixel Sensors
Kamilya Smagulova, Aigerim Tankimanova, Alex Pappachen James
Increase in image resolution require the ability of image sensors to pack an increased number of circuit components in a given area. On the the other hand a high speed processing o…
CMOS-Memristor Dendrite Threshold Circuits
Askhat Zhanbossinov, Kamilya Smagulova, Alex Pappachen James
Non-linear neuron models overcomes the limitations of linear binary models of neurons that have the inability to compute linearly non-separable functions such as XOR. While several…