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pro vyhledávání: '"Umakant Dhar Dwivedi"'
Autor:
Rachna Vaish, Umakant Dhar Dwivedi
Publikováno v:
IEEE Access, Vol 12, Pp 94092-94115 (2024)
Numerous research works establish the high efficacy of Machine Learning (ML) based power system fault diagnosis over conventional analytical methods. The ongoing integration of renewable energy sources (RES) into the existing transmission networks al
Externí odkaz:
https://doaj.org/article/82876f81805c4720a97cf0ae7b29518b
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