Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mainak Thakur"'
Publikováno v:
Water Policy, Vol 24, Iss 6, Pp 878-898 (2022)
A resource management system is likely to succeed if stakeholders get involved in analyzing and choosing from the alternatives. The present work deals with multi-criteria decision models to evaluate rain water harvesting (RWH) structures. Standard pr
Externí odkaz:
https://doaj.org/article/6f5072e62f8f466eb4460c5ffcd20fa0
Publikováno v:
Computer Vision and Machine Intelligence ISBN: 9789811978661
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10822b523a112fce96f8c015ac1e93f2
https://doi.org/10.1007/978-981-19-7867-8_31
https://doi.org/10.1007/978-981-19-7867-8_31
Autor:
Subhojit Mandal, Mainak Thakur
Publikováno v:
Journal of Cleaner Production. 405:137036
Publikováno v:
Asia-Pacific Journal of Atmospheric Sciences.
The groundwater shortage for agriculture in upland villages in southern India has revealed the inter-relationship between the farmers' income, crop, and water with social, economic, and climatic variables. System Dynamics models such complex problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97c132aae1516ebbaa4e4fb966828af0
https://doi.org/10.21203/rs.3.rs-1864293/v1
https://doi.org/10.21203/rs.3.rs-1864293/v1
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Publikováno v:
IET Image Processing. 14:1561-1570
In spite of the recent advancements of deep learning based techniques, automatic photo aesthetic assessment still remains a challenging computer vision task. Existing approaches used to focus on providing a single aesthetic score or category (“good
Publikováno v:
OCEANS 2022 - Chennai.
Publikováno v:
OCEANS 2022 - Chennai.
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Existing literature suggests that the probability density function (pdf) of surface Electromyography (sEMG) signals follows either a Gaussian or Laplacian model. In this paper, a Laplacian-Gaussian mixture model is proposed for the EMG signals extrac