Výsledky vyhledávání - "Parthasarathy, Velusamy"

Akademický článek

Artificial intelligence in heavy metals detection: Methodological and ethical challenges

Autor: Nidhi Yadav, Brij Mohan Maurya, Dewan Chettri, Pooja, Chirag Pulwani, Mahesh Jajula, Savleen Singh kanda, Harysh Winster Suresh babu, Ajay Elangovan, Parthasarathy Velusamy, Mahalaxmi Iyer, Balachandar Vellingiri

Publikováno v: Hygiene and Environmental Health Advances, Vol 7, Iss , Pp 100071- (2023)

Heavy metals (HMs) are metallic substances. They enter biotic and abiotic systems through natural and human activities. These HMs have an impact on the atmosphere, soil, and groundwater, and they also affect all living things, especially humans, when

Externí odkaz: https://doaj.org/article/d90b03dd0b9244adbae532e145554e7a

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Akademický článek

Unmanned Aerial Vehicles (UAV) in Precision Agriculture: Applications and Challenges

Autor: Parthasarathy Velusamy, Santhosh Rajendran, Rakesh Kumar Mahendran, Salman Naseer, Muhammad Shafiq, Jin-Ghoo Choi

Publikováno v: Energies, Vol 15, Iss 1, p 217 (2021)

Agriculture is the primary source of income in developing countries like India. Agriculture accounts for 17 percent of India’s total GDP, with almost 60 percent of the people directly or indirectly employed. While researchers and planters focus on

Externí odkaz: https://doaj.org/article/4c403e3388244c4ebaa955a91ae56a7e

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A secure fuzzy extractor based biometric key authentication scheme for body sensor network in Internet of Medical Things

Autor: Parthasarathy Velusamy, Rakesh Kumar Mahendran

Publikováno v: Computer Communications. 153:545-552

Body sensor network (BSN) is largely utilized in IoMT to attain easier access of patient’s data remotely without much cost by connecting the various bio-sensors. However, there is a security threat in accessing the BSN because of hacking issues. He

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d0ec117d51d573e0a367351b727bf1c6
https://doi.org/10.1016/j.comcom.2020.01.077

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Optimization-Driven Machine Learning Approach for the Prediction of Hydrochar Properties from Municipal Solid Waste

Autor: Parthasarathy Velusamy, Jagadeesan Srinivasan, Nithyaselvakumari Subramanian, Rakesh Kumar Mahendran, Muhammad Qaiser Saleem, Maqbool Ahmad, Muhammad Shafiq, Jin-Ghoo Choi

Publikováno v: Sustainability; Volume 15; Issue 7; Pages: 6088

Municipal solid waste (MSW) management is an essential element of present-day society. The proper storage and disposal of solid waste is critical to public health, safety, and environmental performance. The direct recovery of MSW into useful energy i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50d216fb48d88f60b700546d218402e7
https://doi.org/10.3390/su15076088

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Akademický článek

Detection and classification of cardiovascular abnormalities using FFT based multi-objective genetic algorithm.

Autor: Prasad, B. V. P¹ (AUTHOR) bvpprasadrmd@gmail.com, Parthasarathy, Velusamy¹ (AUTHOR)

Publikováno v: Biotechnology & Biotechnological Equipment. Feb2018, Vol. 32 Issue 1, p183-193. 11p.

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