Yeshwanth Bethi

Orcid: 0000-0002-0713-0903

According to our database1, Yeshwanth Bethi authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA.
IEEE Access, 2024

Real-Time Anomaly Detection Using Hardware-based Unsupervised Spiking Neural Network (TinySNN).
Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024

A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA.
CoRR, 2023

An Optimized Multi-layer Spiking Neural Network implementation in FPGA Without Multipliers.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

2022
Event-driven Spectrotemporal Feature Extraction and Classification using a Silicon Cochlea Model.
CoRR, 2022

An Optimized Deep Spiking Neural Network Architecture Without Gradients.
IEEE Access, 2022

2021
An optimised deep spiking neural network architecture without gradients.
CoRR, 2021

Real-Time Object Detection and Localization in Compressive Sensed Video.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2019
Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware.
CoRR, 2019

A Compressive Sensing Video dataset using Pixel-wise coded exposure.
CoRR, 2019

N-HAR: A Neuromorphic Event-Based Human Activity Recognition System using Memory Surfaces.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Live Demonstration: Real-Time Implementation of Proto-Object Based Visual Saliency Model.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019


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