Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Saurabh Tewari"'
Autor:
Dibyendu Dutta, Manoj Kumar Nanda, Ramprasad Kundu, Saurabh Tewari, Pragyan Jain, Bidyut Kumar Bhadra, Tanmay Khemka, Ankur Naik, Angshu Chakraverty
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 135, Iss , Pp 104228- (2024)
The agrarian economy of Bhutan is highly vulnerable to rainfall uncertainties for its typical geographic location and rugged topography. Rainfall time series is also constrained by inadequate rain gauge stations in the country. To complement rainfall
Externí odkaz:
https://doaj.org/article/323b3797746946f58eeaf97cae22b55a
Autor:
Saurabh Tewari, U. D. Dwivedi
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 10, Iss 5, Pp 1849-1868 (2020)
Abstract Mudstone reservoirs demand accurate information about subsurface lithofacies for field development and production. Normally, quantitative lithofacies modeling is performed using well logs data to identify subsurface lithofacies. Well logs da
Externí odkaz:
https://doaj.org/article/27210b5b9938429eac8da357670fc694
Autor:
Vinamra Bhushan Sharma, Saurabh Tewari, Susham Biswas, Bharat Lohani, Umakant Dhar Dwivedi, Deepak Dwivedi, Ashutosh Sharma, Jae Pil Jung
Publikováno v:
Metals, Vol 11, Iss 10, p 1537 (2021)
Real-time health monitoring of civil infrastructures is performed to maintain their structural integrity, sustainability, and serviceability for a longer time. With smart electronics and packaging technology, large amounts of complex monitoring data
Externí odkaz:
https://doaj.org/article/877618faa6ee453db3b47bdd6e23575b
Publikováno v:
Energies, Vol 14, Iss 2, p 432 (2021)
Selection of the most suitable drill bit type is an important task for drillers when planning for new oil and gas wells. With the advancement of intelligent predictive models, the automated selection of drill bit type is possible using earlier drille
Externí odkaz:
https://doaj.org/article/87b5cfed831640ee8067f48cf0ef7c66
Autor:
Pragyan Jain, Arti Sharma, Navya Upadhyay, Saurabh Tewari, R.S. Rajput, Sunil Kumar, Tribhuwan Kishor Mishra
Publikováno v:
Materials Today: Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6c9cf23f648cbc744e8a54e83df79ca
https://doi.org/10.1016/j.matpr.2023.05.151
https://doi.org/10.1016/j.matpr.2023.05.151
Publikováno v:
IEEE Consumer Electronics Magazine. 11:95-104
Convolution Neural Network (CNN) accelerators are commonly used to boost the CNN application's performance. The energy efficiency of the CNN accelerators is of paramount importance for battery-operated devices like smartphones. A substantial fraction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6e31df734c8ee8bd8705aa765b53502
https://doi.org/10.1109/mce.2021.3097697
https://doi.org/10.1109/mce.2021.3097697
Publikováno v:
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f7757b150b9b6da9b4e95a111090e63
https://doi.org/10.23919/date54114.2022.9774683
https://doi.org/10.23919/date54114.2022.9774683
Autor:
U.D. Dwivedi, Saurabh Tewari
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 10, Iss 5, Pp 1849-1868 (2020)
Mudstone reservoirs demand accurate information about subsurface lithofacies for field development and production. Normally, quantitative lithofacies modeling is performed using well logs data to identify subsurface lithofacies. Well logs data, recor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::539223517b06d7246ebaabded1bce40a
https://doi.org/10.1007/s13202-020-00839-y
https://doi.org/10.1007/s13202-020-00839-y
Autor:
Kavya Kulshreshtha, Saurabh Tewari
Publikováno v:
Ergonomics for Design and Innovation ISBN: 9783030942762
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee0796e232a39de57700a0c2d5194ce0
https://doi.org/10.1007/978-3-030-94277-9_60
https://doi.org/10.1007/978-3-030-94277-9_60
