570 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- High Energy Accelerator Research OrganizationJP77 papers
- Institute of Nuclear Physics, Polish Academy of SciencesPL76 papers
- Budker Institute of Nuclear PhysicsRU73 papers
- Novosibirsk State UniversityRU72 papers
- Forschungszentrum JülichDE69 papers
- Tata Institute of Fundamental ResearchIN67 papers
- Charles UniversityCZ65 papers
- Indian Institute of Technology MadrasIN65 papers
- The University of TokyoJP65 papers
- Kyungpook National UniversityKR64 papers
- The Graduate University for Advanced Studies, SOKENDAIJP64 papers
- Panjab UniversityIN63 papers
4 papers · 1 filter
Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis
Pranali Kokate, Sidharth Pancholi, Amit M. Joshi
The Brain-Computer Interface system is a profoundly developing area of experimentation for Motor activities which plays vital role in decoding cognitive activities. Classification…
A Robust and Accurate Deep Learning based Pattern Recognition Framework for Upper Limb Prosthesis using sEMG
Sidharth Pancholi, Amit M. Joshi, Deepak Joshi
In EMG based pattern recognition (EMG-PR), deep learning-based techniques have become more prominent for their self-regulating capability to extract discriminant features from larg…
iGLU 2.0: A new non-invasive, accurate serum glucometer for smart healthcare
Prateek Jain, Amit M Joshi, Navneet Agrawal +1
To best of the authors knowledge, this article presents the first-ever non-invasive glucometer that takes into account serum glucose for high accuracy. In case of blood glucose mea…
iGLU 1.0: An Accurate Non-Invasive Near-Infrared Dual Short Wavelengths Spectroscopy based Glucometer for Smart Healthcare
Prateek Jain, Amit M. Joshi, Saraju P. Mohanty
In the case of diabetes, fingertip pricking for a blood sample is inconvenient for glucose measurement. Invasive approaches like laboratory test and one-touch glucometer enhance th…