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pro vyhledávání: '"Shalaka Shah"'
Autor:
Preeti Kulkarni, Shreenivas Londhe, Pradnya Dixit, Shardul Joshi, Shalaka Shah, Pali Sahu Sahu
Publikováno v:
Computational Engineering and Physical Modeling, Vol 7, Iss 3 (2024)
Over the past few decades, Artificial Neural Networks (ANN) have carved a niche within the Civil Engineering applications and has been a supplementary to the traditional mathematical models. However, ANN being a ‘Black Box’ concealing the knowled
Externí odkaz:
https://doaj.org/article/5c39dccff0624dc4a26e32f8c0abebb9
Publikováno v:
Current Opinion in Psychiatry. 35:401-408
Attachment represents an aspect of the parent-child relationship by encapsulating behaviours and stress management strategies. Although attachment is not considered a measure of psychopathology, some attachment styles place children at higher risk fo
Autor:
Shalaka Shah, Shreenivas Londhe
Publikováno v:
International Journal of Hydrology Research. 7:15-29
It is the need of the hour to study the changes occurring in the future rainfall trends for the Pune metropolitan region. General Circulation Models (GCMs) are used to study the variations in the climatic conditions occurring in the near and far futu
Autor:
Shalaka Shah, Shreenivas Londhe
It is the need of the hour to predict the impact of climate change, especially rainfall on the future environmental conditions on local as well as global scales. The present work aims at studying the impact of climate change on the rainfall occurring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e33c17f79116a3381a1b11cb59b9587d
https://doi.org/10.21203/rs.3.rs-1035885/v1
https://doi.org/10.21203/rs.3.rs-1035885/v1
Autor:
Shreenivas Londhe, Shalaka Shah
Publikováno v:
ISH Journal of Hydraulic Engineering. 25:269-281
Artificial Neural Networks (ANNs) have been used increasingly in recent years for numerous hydrological applications because of their ability to model the non-linear relationships. The major drawba...
Autor:
Shalaka Shah, Pradnya Dixit, T.M. Balakrishnan Nair, Rohit Jain, P. Sirisha, Shreenivas Londhe
Publikováno v:
Applied Ocean Research. 59:483-491
As more than a quarter of India’s population resides along the coastlines, it is of utmost importance to predict the significant wave height as accurately as possible to cater the needs of safe and secure life. Presently Indian National Centre for
Publikováno v:
ISH Journal of Hydraulic Engineering. 21:255-264
Precipitation is a major factor controlling the hydrology of a region. It has been experienced that the precipitation data are sometimes lost by virtue of instrument malfunctioning, human error(s), climatic conditions which becomes an impediment in t
Behavioural Characteristics of Multilevel Decomposition Systems of Neuro-Wavelet in Wave Forecasting
Publikováno v:
Procedia Engineering. 116:406-413
In recent days numerical models like Wavewatch are used for grid based wave forecast all over the world Considering the resolution it is difficult to scale down a location specific based forecast. As a result univariate wave forecasting may be employ