Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Rikhi Bose"'
Publikováno v:
Neural Networks. 162:472-489
Publikováno v:
Artificial Intelligence for the Earth Systems. 2
The objective of this paper is to employ machine learning (ML) and deep learning (DL) techniques to obtain, from input data (storm features) available in or derived from the HURDAT2 database, models capable of simulating important hurricane propertie
Publikováno v:
Neural Computing and Applications. 34:17491-17505
Autor:
Rikhi Bose
Publikováno v:
Computers & Fluids. 251:105762
Autor:
Rikhi Bose, DongHun Yeo
In this report, high-Reynolds number turbulent flow around an axisymmetric hill is studied using large eddy and unsteady Reynolds averaged Navier-Stokes simulations and the results are extensively validated against experiment. The boundary-layer thic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f11a429926b39246ab32b91655420805
https://doi.org/10.6028/nist.tn.2141
https://doi.org/10.6028/nist.tn.2141
Early identification and prevention of various plant diseases in commercial farms and orchards is a key feature of precision agriculture technology. This paper presents a high-performance real-time fine-grain object detection framework that addresses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7b9a5f17c86e281e0922f1c3e2a9986
Publikováno v:
AIAA Scitech 2019 Forum.
Publikováno v:
Physical Review Fluids. 3