Deepa Beeta Thiyam

Employment

Employment history is unavailable.

Education

• Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Ph.D.
  2012 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (16)

• A hybrid CNN model for classification of motor tasks obtained from hybrid BCI system
  Scientific Reports 2025 DOI: 10.1038/S41598-024-84883-2
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• Probabilistic luminance estimation and optimized gamma correction for Wireless capsule endoscopy
  Biomedical Signal Processing and Control 2025 DOI: 10.1016/J.BSPC.2025.107558
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• Motor Imagery EEG Signal Classification Using Optimized Convolutional Neural Network
  Przeglad Elektrotechniczny 2024 DOI: 10.15199/48.2024.08.55
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• Performance Analysis of HybridA- BCI Signals Using CNN for Motor Movement Classification
  Traitement du Signal 2024 DOI: 10.18280/TS.410442
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• Simulational Study for Designing Lung on-Chip
  Tenth International Conference on Bio Signals, Images, and Instrumentation (ICBSII) 2024 DOI: 10.1109/ICBSII61384.2024.10564084
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• Biocompatibility of oxide nanoparticles
  Oxides for Medical Applications 2023 DOI: 10.1016/B978-0-323-90538-1.00002-9
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• Signal Processing for Hybrid BCI Signals
  Journal of Physics: Conference Series 2022 DOI: 10.1088/1742-6596/2318/1/012007
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• A customized knee brace for osteoarthritis patient using 3D printing a customized knee brace using 3D printing
  Proceedings of the 3rd International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021 2021 DOI: 10.1109/ICICV50876.2021.9388526
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• Automatic Control of Blood Pressure for Rectifying Hyper and Hypotension Using Music Therapy
  Proceedings of the 3rd International Conference on Inventive Research in Computing Applications, ICIRCA 2021 2021 DOI: 10.1109/ICIRCA51532.2021.9544839
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• Comparison and Analysis of Performance Using Different Classifiers for Classification of Motor Imagery EEG Signals
  Proceedings of the 2nd International Conference on Electronics and Sustainable Communication Systems, ICESC 2021 2021 DOI: 10.1109/ICESC51422.2021.9532872
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