Yeshwanth Bethi

According to our database, Yeshwanth Bethi authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

NeuroMorse: A Temporally Structured Dataset For Neuromorphic Computing.

Ben Walters, Yeshwanth Bethi, Taylor Kergan, Binh Nguyen, Amirali Amirsoleimani, Jason K. Eshraghian, Saeed Afshar, Mostafa Rahimi Azghadi

CoRR, February, 2025

Drone-Based Sound Source Localization: A Systematic Literature Review.

Sérgio F. Chevtchenko, Belman Jahir Rodríguez, Rafaella Vale, Abishek Soti, Yeshwanth Bethi, Naqib Ibnul, Alexandre Marcireau, Mostafa Rahimi Azghadi, Andrew Wabnitz, Saeed Afshar

IEEE Access, 2025

Spiking Auto-Encoder for Static and Spatio-Temporal Neuromorphic Pattern Reconstruction.

Ben Walters, Yeshwanth Bethi, Hamid Rahimian Kalatehbali, Saeed Afshar, Amirali Amirsoleimani, Mostafa Rahimi Azghadi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024

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

Mohamad Ali Mehrabi, Yeshwanth Bethi, André van Schaik, Andrew Wabnitz, Saeed Afshar

IEEE Access, 2024

Real-Time Anomaly Detection Using Hardware-based Unsupervised Spiking Neural Network (TinySNN).

Mohamad Ali Mehrabi, Nik Dennler, Yeshwanth Bethi, André van Schaik, Saeed Afshar

Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024

A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations.

Sérgio F. Chevtchenko, Yeshwanth Bethi, Teresa Bernarda Ludermir, Saeed Afshar

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.

Mohamad Ali Mehrabi, Yeshwanth Bethi, André van Schaik, Andrew Wabnitz, Saeed Afshar

CoRR, 2023

An Optimized Multi-layer Spiking Neural Network implementation in FPGA Without Multipliers.

Mohamad Ali Mehrabi, Yeshwanth Bethi, André van Schaik, Saeed Afshar

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.

Ying Xu, Samalika Lakmali Perera, Yeshwanth Bethi, Saeed Afshar, André van Schaik

CoRR, 2022

An Optimized Deep Spiking Neural Network Architecture Without Gradients.

Yeshwanth Bethi, Ying Xu, Gregory Cohen, André van Schaik, Saeed Afshar

IEEE Access, 2022

2021

An optimised deep spiking neural network architecture without gradients.

Yeshwanth Bethi, Ying Xu, Gregory Cohen, André van Schaik, Saeed Afshar

CoRR, 2021

Real-Time Object Detection and Localization in Compressive Sensed Video.

Yeshwanth Ravi Theja Bethi, Sathyaprakash Narayanan, Venkat Rangan, Anirban Chakraborty, Chetan Singh Thakur

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.

Yeshwanth Ravi Theja Bethi, Sathyaprakash Narayanan, Venkat Rangan, Chetan Singh Thakur

CoRR, 2019

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

Sathyaprakash Narayanan, Yeshwanth Bethi, Chetan Singh Thakur

CoRR, 2019

N-HAR: A Neuromorphic Event-Based Human Activity Recognition System using Memory Surfaces.

Bibrat Ranjan Pradhan, Yeshwanth Bethi, Sathyaprakash Narayanan, Anirban Chakraborty, Chetan Singh Thakur

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Live Demonstration: Real-Time Implementation of Proto-Object Based Visual Saliency Model.

Sathyaprakash Narayanan, Yeshwanth Bethi, Jamal Lottier, Ernst Niebur, Ralph Etienne-Cummings, Chetan Singh Thakur

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019