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ORCIDSai Sukruth Bezugam
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2020 – today
- 2024
[c4]Sai Sukruth Bezugam, Yihao Wu, JaeBum Yoo, Dmitri Strukov, Bongjin Kim:
Quantized Context Based LIF Neurons for Recurrent Spiking Neural Networks in 45nm. NICE 2024: 1-7- [i4]Sai Sukruth Bezugam, Yihao Wu, JaeBum Yoo, Dmitri Strukov, Bongjin Kim:
Quantized Context Based LIF Neurons for Recurrent Spiking Neural Networks in 45nm. CoRR abs/2404.18066 (2024) - 2023
- [c3]Ashwani Kumar, Sai Sukruth Bezugam
:
RRAM Based On-Sensor Visual Data Preprocessing for Efficient Image Classification. DRC 2023: 1-2 - [c2]Ahmed Shaban, Sai Sukruth Bezugam, Manan Suri:
Neuromorphic Recurrent Spiking Neural Networks for EMG Gesture Classification and Low Power Implementation on Loihi. ISCAS 2023: 1-5 - 2022
- [i3]Sai Sukruth Bezugam, Ahmed Shaban, Manan Suri:
Low Power Neuromorphic EMG Gesture Classification. CoRR abs/2206.02061 (2022) - 2021
- [c1]Ranajay Medya, Sai Sukruth Bezugam, Dwijay Bane, Manan Suri:
2D Histogram based Region Proposal (H2RP) Algorithm for Neuromorphic Vision Sensors. ICONS 2021: 27:1-27:6 - [i2]Sai Sukruth Bezugam, Swatilekha Majumdar, Chetan Ralekar, Tapan Kumar Gandhi:
Efficient Video Summarization Framework using EEG and Eye-tracking Signals. CoRR abs/2101.11249 (2021) - [i1]Sai Sukruth Bezugam:
Multi-Class Classification of Blood Cells - End to End Computer Vision based diagnosis case study. CoRR abs/2106.12548 (2021)
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