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S. Bose

8 papers hereh-index 9329 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author2

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • eess.SP3
  • cs.LG2
  • eess.IV2
  • cs.ET1
same name
  • S. Bose — 180 papers, h 52
  • S. Bose — 153 papers, h 62
  • S. Bose — 148 papers, h 33
  • S. Bose — 64 papers
  • S. Bose — 47 papers, h 13
  • S. Bose — 43 papers, h 117

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedA 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS

22 citations · 46 across the 8 of their papers we have counts for

collaborators
Showing eess.SPShow all

3 papers · 1 filter

eess.SP2024

dAJC: A 2.02mW 50Mbps Direct Analog to MJPEG Converter for Video Sensor Node using Low-Noise Switched Capacitor MAC-Quantizer with Auto-Calibration and Sparsity-Aware ADC

Gourab Barik, Gaurav Kumar K, Baibhab Chatterjee +3

With the advancement in the field of the Internet of Things(IoT) and Internet of Bodies(IoB), video camera applications using Video Sensor Nodes(VSNs) have gained importance in the…

eess.SP2020★ 10 cited

ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing

Bapi Kar, Pradeep Kumar Gopalakrishnan, Sumon Kumar Bose +2

In this paper, we present a low-power anomaly detection integrated circuit (ADIC) based on a one-class classifier (OCC) neural network. The ADIC achieves low-power operation throug…

eess.SP2018★ 14 cited

ADEPOS: Anomaly Detection based Power Saving for Predictive Maintenance using Edge Computing

Sumon Kumar Bose, Bapi Kar, Mohendra Roy +2

In industry 4.0, predictive maintenance(PM) is one of the most important applications pertaining to the Internet of Things(IoT). Machine learning is used to predict the possible fa…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.