Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Tajud Din"'
Autor:
Tajud Din, Zhongbei Tian, Syed Muhammad Ali Mansur Bukhari, Misbahud Din, Stuart Hillmansen, Clive Roberts
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 5, Pp 835-852 (2024)
Abstract This paper presents the development and validation of two artificial neural networks (ANN) models, utilising time and power‐based architectures, to accurately predict key parameters of a hydrogen hybrid train profile and its optimal trajec
Externí odkaz:
https://doaj.org/article/e97c007ce19f4052a4d1b609c7731ff9
Publikováno v:
IET Intelligent Transport Systems, Vol 17, Iss 12, Pp 2333-2351 (2023)
Abstract This paper introduces a novel optimisation algorithm for hybrid railway vehicles, combining a non‐linear programming solver with the highly efficient “Mayfly Algorithm” to address a non‐convex optimisation problem. The primary object
Externí odkaz:
https://doaj.org/article/3bcd5e8678584864a6d029fe85d698db
Publikováno v:
Pakistan Journal of Medical and Health Sciences. 16:805-807
Objective: The aim of the study was to determine the usage and attitude toward aspirating dental syringes among dental practitioners in Khyber Pakhtunkhwa province of Pakistan. Study design: Descriptive, cross sectional Place and Duration: Rural Heal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f69b2a0813a9fcf65a334bd2716085c2
https://doi.org/10.53350/pjmhs20221611805
https://doi.org/10.53350/pjmhs20221611805