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Dr Ripul Ghosh

vidwan id: 227844
Male

Principal Scientist, Centre of Excellence for Intelligent Sensors and Systems
Central Scientific Instruments Organization

Expertise

  • Instruments and Instrumentation

Publications

Total Articles 24
Books 0
Proceedings 0

Publications

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Scopus

Citations 477
h-index 11

CrossRef

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Citations 358
h-index 10
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Professional Recognition

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Bio

Sensors, Signal Processing, Computational Data Analysis

Personal Details

  • Male
  • Principal Scientist , Central Scientific Instruments Organization
  • CSIR Central Scientific Instruments Organisation, Sector 30-C, Sector 30
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Principal Scientist Oct 2011 – Present
Central Scientific Instruments Organization | Centre of Excellence for Intelligent Sensors and Systems

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Co-Authors (8)

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Dr Aparna Akula

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Dr Samir K Mondal

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Dr Satish Kumar

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Dr Srikanth Allamsetty

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Scholarly Work

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Scholarly Publications

Erratum: Variational Mode Decomposition of Seismic Signals for Detection of Moving Elephants (IEEE Trans. Instrum. Meas. (2022) 71 (1-8) DOI: 10.1109/TIM.2022.3178465)

Open Access
Erratum

Variational Mode Decomposition of Seismic Signals for Detection of Moving Elephants

Open Access
Article

Seismic signal analysis for the characterisation of elephant movements in a forest environment

Open Access
Article
Authors: Parihar D.S.;Ghosh R.;Akula A.;Kumar S.;Sardana H.K.

Multi-feature optimization strategies for target classification using seismic and acoustic signatures

Open Access
Conference Paper
Authors: Ghosh R.;Sardana H.K.

Real-time thermal infrared moving target detection and recognition using deep learned features

Open Access
Conference Paper
Authors: Naga Vara Aparna Akula ., Varinder Kaur ., Neeraj Guleria ., Ripul Ghosh ., Satish Kumar .,

Performance Evaluation of a Real-Time Seismic Detection System Based on CFAR Detectors

Open Access
Article
Authors: Ghosh R.;Vajpeyi A.;Akula A.;Shaw V.;Kumar S.;Sardana H.K.

WignerMSER: Pseudo-Wigner Distribution Enriched MSER Feature Detector for Object Recognition in Thermal Infrared Images

Open Access
Article

Deep learning approach for human action recognition in infrared images

Open Access
Article