Sumon Kumar Bose

Orcid: 0000-0002-7583-972X

According to our database1, Sumon Kumar Bose authored at least 14 papers between 2018 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
A 389 TOPS/W, Always ON Region Proposal Integrated Circuit Using In-Memory Computing in 65 nm CMOS.
IEEE J. Solid State Circuits, February, 2023

2022
A 51.3-TOPS/W, 134.4-GOPS In-Memory Binary Image Filtering in 65-nm CMOS.
IEEE J. Solid State Circuits, 2022

2021
A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS.
CoRR, 2021

A 389TOPS/W, 1262fps at 1Meps Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2021

2020
ADIC: Anomaly Detection Integrated Circuit in 65-nm CMOS Utilizing Approximate Computing.
IEEE Trans. Very Large Scale Integr. Syst., 2020

ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65-nm CMOS.
IEEE Trans. Circuits Syst. I Regul. Pap., 2020

ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing.
CoRR, 2020

Reducing Temperature Induced Unreliability in Sub-Threshold Strong PUFs through Circuit Modeling.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

A 75kb SRAM in 65nm CMOS for In-Memory Computing Based Neuromorphic Image Denoising.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS.
CoRR, 2019

Live Demonstration: Autoencoder-Based Predictive Maintenance for IoT.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

ADEPOS: anomaly detection based power saving for predictive maintenance using edge computing.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

Is my Neural Network Neuromorphic? Taxonomy, Recent Trends and Future Directions in Neuromorphic Engineering.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018


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