James, Alex Pappachen; Irmanova, Aidana; Krestinskaya, Olga(Institute of Electrical and Electronics Engineers, 2019-11-29)
The hardware implementation of neuro-inspired machine learning algorithms for near sensor processing on edge devices is an open problem. In this work, we propose a solution to written word recognition problem related to ...
Irmanova, Aidana; Ellis, G. A.; James, Alex Pappachen(Institute of Electrical and Electronics Engineers, 2018-09-27)
The memristor can be used as non volatile memory (NVM) and for emulating neuron behavior. It has the ability to switch between low resistance R on and high resistance values R off, and exhibit the synaptic dynamic behaviour ...
James, Alex Pappachen; Smagulova, Kamilya; Irmanova, Aidana(Institute of Electrical and Electronics Engineers, 2018-11-15)
In this paper, we propose XOR based memristive edge detector circuit that is integrated into a near sensor log-linear CMOS pixel. Memristor threshold logic was used to design NAND gates, which serve as a building block for ...
Mussina, Damira; Irmanova, Aidana; Jamwal, Prashant K.; Bagheri, Mehdi(Institute of Electrical and Electronics Engineers, 2020-09-30)
A novel Fusion Convolutional Network (FCN) is proposed in this research for potential
real-time monitoring of insulators using unmanned aerial vehicle (UAV) edge devices. Precise airborne
imaging of outdoor objects, such ...
Irmanova, Aidana; James, Alex Pappachen(Springer Nature, 2018-03-14)
Mapping neuro-inspired algorithms to sensor backplanes of on-chip hardware require shifting the signal processing from digital to the analog domain, demanding memory technologies beyond conventional CMOS binary storage ...
Submission guide