Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sohini Dudhat"'
Autor:
Swapnali Gole, Nehru Prabakaran, Sumit Prajapati, Sohini Dudhat, Himansu Das, Sivakumar Kuppusamy, Jeyaraj Antony Johnson
Publikováno v:
PLoS ONE, Vol 19, Iss 3 (2024)
Externí odkaz:
https://doaj.org/article/c3009a07605a4717adc3a77fbe6b3298
Autor:
Sohini Dudhat, Anant Pande, Aditi Nair, Indranil Mondal, Mridula Srinivasan, Kuppusamy Sivakumar
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-20 (2022)
Abstract Marine mammal strandings provide vital information on species’ life histories, population health and status of marine ecosystems. Opportunistic reporting of strandings also serve as a powerful low-cost tool for monitoring these elusive mam
Externí odkaz:
https://doaj.org/article/7aa073f1fac84b9f871edb450fdd9d3f
Autor:
Kuppusamy Sivakumar, K. Madhu Magesh, Sameeha Pathan, Chinmaya Ghanekar, Samrat Mondol, Yellapu Srinivas, Anant Pande, Swapnali Gole, Devanshi Kukadia, Rukmini Shekar, Jeyaraj Antony Johnson, Sohini Dudhat, P.V.R. Prem Jothi
Publikováno v:
Aquatic Conservation: Marine and Freshwater Ecosystems. 31:818-829
Autor:
Sohini Dudhat, Anant Pande, Aditi Nair, Indranil Mondal, Mridula Srinivasan, Kuppusamy Sivakumar
Publikováno v:
Scientific reports. 12(1)
Marine mammal strandings provide vital information on species’ life histories, population health and status of marine ecosystems. Opportunistic reporting of strandings also serve as a powerful low-cost tool for monitoring these elusive mammals. We
Marine mammal strandings provide vital information on their life histories, population health and status of marine ecosystems. Opportunistic reporting of strandings serve as a potent low-cost tool for conservation monitoring of these highly mobile sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9418829f4f850ae0a6ccb6ab3b8d28cb
https://doi.org/10.1101/2021.01.20.427409
https://doi.org/10.1101/2021.01.20.427409
Autor:
Kuppusamy Sivakumar, Satish Pawar, Sohini Dudhat, Anant Pande, Swapnali Gole, Debashis Mitra, Sharad Bayyana, Jeyaraj Antony Johnson
Publikováno v:
Current Science. 118:1275
This study presents an attempt to utilize seagrass data acquired from field surveys to compare classification models for mapping seagrasses using Sentinel -2A satellite data. Out of three models tested , viz. Random Forest, Support Vector Machine and