Gait Recognition using Segmented Motion Flow Energy Image

Authors: Mukherjee, Shyamapada, Chaudhary, Kunal, Jain, Priya, Paul, Bishal

Source: 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Computing, Communication and Networking Technologies (ICCCNT), 2019 10th International Conference on. :1-6 Jul, 2019

Relation: 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)

Machine Learning: A Dark Side of Cancer Computing

Authors: Patgiri, Ripon, Nayak, Sabuzima, Akutota, Tanya, Paul, Bishal

Source: Proceedings of the 2018 International Conference on Bioinformatics and Computational Biology, pp. 92-98, 2018

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1903.07167

Primacy of ecological engineering tools for combating eutrophication: An ecohydrological assessment pathway

Authors: Paul, Bishal, Bhattacharya, Satya Sundar, Gogoi, Nayanmoni

Source: In Science of the Total Environment 25 March 2021 762

Spatial Distribution, Exposure and Potential Ecotoxicological Health Risk Associated with Geogenic Contaminants in Groundwater Resources of Manipur Valley, India.

Authors: Yumnam, Gyanendra, Paul, Bishal, Gogoi, Nayanmoni, Alam, Wazir

Source: Water Conservation Science & Engineering; 10/12/2023, Vol. 8 Issue 1, p1-20, 20p

Eco-bioengineering tools in ecohydrological assessment of eutrophic water bodies.

Authors: Paul, Bishal, Purkayastha, Karishma Das, Bhattacharya, Shelley, Gogoi, Nayanmoni

Source: Ecotoxicology; May2022, Vol. 31 Issue 4, p581-601, 21p

Subject Terms: BODIES of water, BIOMANIPULATION, SKEWNESS (Probability theory), ECOLOGICAL resilience, WATER quality, EUTROPHICATION control, FOREST restoration, ECO-labeling

Machine Learning: A Dark Side of Cancer Computing.

Authors: Patgiri, Ripon, Nayak, Sabuzima, Akutota, Tanya, Paul, Bishal

Source: Proceedings of the International Conference on Bioinformatics & Computational Biology (BIOCOMP) (American Council on Science & Education); 2018, p92-98, 7p

Subject Terms: BIG data, BREAST cancer, MACHINE learning, CANCER diagnosis, PREDICTION models, ARTIFICIAL intelligence