Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Adway Mitra"'
Publikováno v:
npj Climate and Atmospheric Science, Vol 5, Iss 1, Pp 1-12 (2022)
Abstract In the backdrop of overwhelming evidences of associations between North-Atlantic (NA) sea-surface temperature (SST) and the Indian summer Monsoon Rainfall (ISMR), the lack of a quantitative nonlinear causal inference has been a roadblock for
Externí odkaz:
https://doaj.org/article/94ed3e3906ca4b4fb229ae4013ea7d32
ResDeepD: A residual super-resolution network for deep downscaling of daily precipitation over India
Publikováno v:
Environmental Data Science, Vol 1 (2022)
In the twenty-first century, machine learning and deep learning have been successfully used to find hidden information from coarse-grained data in various domains. In Computer Vision, scientists have used neural networks to identify hidden pixel-leve
Externí odkaz:
https://doaj.org/article/928a9447760c4c12937a866bd4252d80
Autor:
Adway Mitra
Publikováno v:
Frontiers in Climate, Vol 3 (2021)
South Asian monsoon is a phenomena that plays out during June-September every year, due to the northward shift of the ITCZ which causes heavy rainfall over many countries of South Asia, including India. These rains are directly related to the lives a
Externí odkaz:
https://doaj.org/article/7dcff3388b1a4bcca7f90d5099d88f2b
Publikováno v:
Technology Analysis & Strategic Management. :1-19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b69109cd8020354b2a89f00927f8a87
https://doi.org/10.1080/09537325.2022.2116569
https://doi.org/10.1080/09537325.2022.2116569
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:11891-11902
Visual surveillance has become indispensable in the evolution of Intelligent Transportation Systems (ITS). Video object trajectories are key to many of the visual surveillance applications. Classifying varying length time series data such as video ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2edd16adc8d716e64e5e2c4b62175b77
https://doi.org/10.1109/tits.2021.3108504
https://doi.org/10.1109/tits.2021.3108504
Publikováno v:
International Journal of Climatology. 41:1351-1368
The Indian monsoon, a multi-variable process causing heavy rains during June-September every year, is very heterogeneous in space and time. We study the relationship between rainfall and Outgoing Longwave Radiation (OLR, convective cloud cover) for m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14dc02de0eccc1c54023e35efc04fd42
https://doi.org/10.1002/joc.6812
https://doi.org/10.1002/joc.6812
Publikováno v:
Recommender System with Machine Learning and Artificial Intelligence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7b84bff6907be124d96997688a59593
https://doi.org/10.1002/9781119711582.ch4
https://doi.org/10.1002/9781119711582.ch4
Indian Summer Monsoon Rainfall (ISMR) is a complex phenomenon that depends on several climatic phenomena at different parts of the word through teleconnections. Each season is characterized by extended periods of wet and dry spells (which may cause f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::829c01d77b1bb5492b7e3d5fac107338
https://doi.org/10.5194/egusphere-egu22-4431
https://doi.org/10.5194/egusphere-egu22-4431
Downscaling is widely used to improve spatial resolution of meteorological variables. Broadly there are two classes of techniques used for downscaling i.e. dynamical downscaling and statistical downscaling. Dynamical downscaling depends on the bounda
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd4cbde020f0d445bdd85e68812c1d42
https://doi.org/10.5194/egusphere-egu22-4584
https://doi.org/10.5194/egusphere-egu22-4584
Publikováno v:
Environmental science. Processesimpacts. 24(3)
The discovery of causal structures behind a phenomenon under investigation has been at the heart of scientific inquiry since the beginning. Randomized control trials, the gold standard for causal analysis, may not always be feasible, such as in the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f64f4f6ef3c151d6d894d59b1bac848
https://pubmed.ncbi.nlm.nih.gov/35156666
https://pubmed.ncbi.nlm.nih.gov/35156666