Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alawadi Ahmed Hussein"'
Autor:
Rustamkhon Mekhmonov, Alawadi Ahmed Hussein, Abbas Ahmed H.R., Jayashree, Santhi G.B., Raja Kumar Jambi Ratna
Publikováno v:
E3S Web of Conferences, Vol 540, p 02011 (2024)
This paper reviews the work in the areas of energy and climate implications, grid support, and economic viability associated with the second-life applications of electric vehicle (EV) batteries. The increasing adoption of EVs has raised concerns abou
Externí odkaz:
https://doaj.org/article/b55f0a2dca26480abeb6c8721d18e120
Autor:
Abbas Ahmed H.R., Abdulaziz Akhmedov, Alawadi Ahmed Hussein, Edwin Prabhakar P.B., Kumar C Santhosh, Wadhwa Lalitkumar
Publikováno v:
E3S Web of Conferences, Vol 540, p 02010 (2024)
This study reviews the work around the burgeoning field of sensorless control techniques in electric drives, fuelled by advances in power electronics and digital signal processing. The review categorizes these techniques into two primary approaches:
Externí odkaz:
https://doaj.org/article/a609d89357414bd1800e1bfb47db7100
Autor:
Alawadi Ahmed Hussein, Alawadi Ahmed Hussien Radie, M Jeyalaxmi, Sivasubramanian S., G Swathi, Raja Kumar Jambi Ratna
Publikováno v:
E3S Web of Conferences, Vol 540, p 13017 (2024)
Microbial communities, with their diverse metabolic capabilities and intricate interactions, have emerged as a promising frontier in the quest for sustainable bioenergy solutions. These microorganisms, through their unique metabolic pathways, offer t
Externí odkaz:
https://doaj.org/article/6d114f2e5d6b40eface4b864ae46d0cf
Publikováno v:
E3S Web of Conferences, Vol 399, p 04031 (2023)
Natural language processing (NLP) developments have made it possible for robots to read and analyze human language with astounding precision, revolutionizing the field of text understanding. An overview of current advancements in NLP approaches and t
Externí odkaz:
https://doaj.org/article/19352054654343fb8a009dc3390ee322
Publikováno v:
E3S Web of Conferences, Vol 399, p 04032 (2023)
Particularly in the fields of object identification and picture recognition, deep learning approaches have transformed the science of computer vision. This abstract provides a summary of recent developments and cutting-edge methods in deep learning f
Externí odkaz:
https://doaj.org/article/9529ed173e634d339838b8aee910c372