Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ujjwal K. Gupta"'
Publikováno v:
Journal of the Indian Society of Remote Sensing. 51:1089-1098
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1763ba9ce8730f7b6c05900b2bb5b0a9
https://doi.org/10.1007/s12524-023-01677-1
https://doi.org/10.1007/s12524-023-01677-1
Autor:
Ujjwal K. Gupta, M. P. Oza
Publikováno v:
Journal of the Indian Society of Remote Sensing. 49:2187-2198
Land degradation is one of the major threats faced globally, affecting arid and other dryland areas severely. In such areas, biomass productivity is a function of precipitation to a large extent. This paper discusses methodology developed to generate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04bcdaa771f0ad1c13aefd62108f9022
https://doi.org/10.1007/s12524-021-01381-y
https://doi.org/10.1007/s12524-021-01381-y
Autor:
D. Ram Rajak, Sandip R. Oza, Ujjwal K. Gupta, Purvee P. Joshi, Raj Kumar, Shailendra Saini, I. M. Bahuguna, A. S. Rajawat
Publikováno v:
Marine Geodesy. 43:302-323
Intra and inter-annual variations in the sea ice thickness are highly sensitive indicators of climatic variations undergoing in the earth’s atmosphere and oceans. This paper describes the method of...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a740da688332ae0f468eb371176a19d
https://doi.org/10.1080/01490419.2020.1732507
https://doi.org/10.1080/01490419.2020.1732507
Publikováno v:
SDS
Deep neural networks can be difficult to train and require extensive fine tuning for hyper-parameter optimization. In this paper a generalized deep convolutional hybrid network model is proposed, named Reception that not only can tackle problem of so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::553886091f0bda060bda90fa464b8542
https://doi.org/10.1109/sds.2019.00012
https://doi.org/10.1109/sds.2019.00012