Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Ahmad Arfeen"'
Autor:
Rabia Hassan, Zeeshan Ahmad Arfeen, Mehreen Kausar Azam, Zain ul Abiden Akhtar, Abubakar Siddique, Muhammad Rashid
Publikováno v:
Railway Sciences, Vol 3, Iss 5, Pp 541-557 (2024)
Purpose – Material selection, driven by wide and often conflicting objectives, is an important, sometimes difficult problem in material engineering. In this context, multi-criteria decision-making (MCDM) methodologies are effective. An approach of
Externí odkaz:
https://doaj.org/article/1a3e2228897e45f784976a626fad414e
Autor:
Shehzad Haneef, Zeeshan Rashid, Syed Aqeel Haider, Zeeshan Ahmad Arfeen, Nusrat Husain, Ashraf Yahya, Muhammad Amjad, Hafeez ur Rehman
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 11, Pp 102990- (2024)
This paper addresses a multi-objective particle swarm optimization (MOPSO) algorithm to locate the best position at which a single distributed generator (DG) with optimum voltage amplitude and phase can be installed. The objective is to maximize the
Externí odkaz:
https://doaj.org/article/49d8f8d0f5b44d83a8be2000248ccf5e
Autor:
Mohammad Al Takrouri, Shahrin Bin Md Ayob, Nik Rumzi Nik Idris, Mohd Junaidi Abdul Aziz, Razman Ayop, Ehab Saif Ghith, Mehdi Tlija, Afraz Hussain Majeed, Zeeshan Ahmad Arfeen
Publikováno v:
IEEE Access, Vol 12, Pp 171675-171688 (2024)
This study presents a comprehensive comparison of battery-only, passive, and semi-active hybrid energy storage system (HESS) topologies for electric vehicle (EV) applications. Despite numerous studies on HESS topologies for EVs, there remains a lack
Externí odkaz:
https://doaj.org/article/a2513249180b425da5b31f82c0dc42c0
Autor:
Umar Saleem, Wenjie Liu, Saleem Riaz, Weilin Li, Ghulam Amjad Hussain, Zeeshan Rashid, Zeeshan Ahmad Arfeen
Publikováno v:
Energies, Vol 17, Iss 16, p 3976 (2024)
The efficient operation of power-electronic-based systems heavily relies on the reliability and longevity of battery-powered systems. An accurate prediction of the remaining useful life (RUL) of batteries is essential for their effective maintenance,
Externí odkaz:
https://doaj.org/article/77b87424abfa466ebc502e18fec9ac70
Autor:
Syed Imran Ali, Shaine Mohammadali Lalji, Syed Aqeel Haider, Javed Haneef, Adnan-ul-Haque Syed, Nusrat Husain, Ashraf Yahya, Zeeshan Rashid, Zeeshan Ahmad Arfeen
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 2, Pp 102421- (2024)
Accident rates in academic laboratories are increasing rapidly day to day. The incorporation of complex activities with the inclusion of modern technologies and human behavior during experiments often makes it difficult to manage health and safety ri
Externí odkaz:
https://doaj.org/article/bca8c25519ca4800ba1e817beea4ad4e
Autor:
Syeda Misbah Inayat, Syed Muhammad Rafay Zaidi, Husnain Ahmed, Danial Ahmed, Mehreen Kausar Azam, Zeeshan Ahmad Arfeen
Publikováno v:
International Journal of Industrial Engineering and Management, Vol 14, Iss 2, Pp 105-121 (2023)
Solar photovoltaic (PV) systems and their installation are essential to determine a general practice for specialized risk assessment, which reduces the danger linked and the solutions to avoid those hazards, which call mitigation strategies. This pap
Externí odkaz:
https://doaj.org/article/bf3d9b05bd1d43e9917f4aee71de83f2
Autor:
Muhammad Junaid Rabbani, Attaullah Y. Memon, Muhammad Farhan, Raja Masood Larik, Shahzad Ashraf, Muhammad Burhan Khan, Zeeshan Ahmad Arfeen
Publikováno v:
Sensors, Vol 24, Iss 11, p 3616 (2024)
This paper presents a novel robust output feedback control that simultaneously performs both stabilization and trajectory tracking for a class of underactuated nonholonomic systems despite model uncertainties, external disturbance, and the absence of
Externí odkaz:
https://doaj.org/article/b0909bd43c2c411998b9f6de57358331
Autor:
Nadir Abbas, Xuejun Pan, Abdur Raheem, Rabia Shakoor, Zeeshan Ahmad Arfeen, Muhammad Rashid, Farhana Umer, Nouman Safdar, Xiaodong Liu
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract This work is used to design a novel robust optimization control law augmented with Robust Generalized Dynamic Inversion (RGDI) for continuous varying perturbations in the Twin Rotor MIMO System (TRMS). The perturbations like coupling effect,
Externí odkaz:
https://doaj.org/article/53ca6a1a914043daaf8a7c16c37006f5
Autor:
Syed Aqeel Haider, Shahzad Ashraf, Raja Masood Larik, Nusrat Husain, Hafiz Abdul Muqeet, Usman Humayun, Ashraf Yahya, Zeeshan Ahmad Arfeen, Muhammad Farhan Khan
Publikováno v:
Sensors, Vol 23, Iss 24, p 9706 (2023)
This research work focuses on a Near-Infra-Red (NIR) finger-images-based multimodal biometric system based on Finger Texture and Finger Vein biometrics. The individual results of the biometric characteristics are fused using a fuzzy system, and the f
Externí odkaz:
https://doaj.org/article/0f4a96b273bb47e388fe22a4b414dda0
Autor:
Farrukh Hafeez, Usman Ullah Sheikh, Nasser Alkhaldi, Hassan Zuhair Al Garni, Zeeshan Ahmad Arfeen, Saifulnizam A. Khalid
Publikováno v:
IEEE Access, Vol 8, Pp 135162-135175 (2020)
A few decades ago, the idea of a car driving without human assistance was something inconceivable. With the advent of deep learning-based machine learning in artificial intelligence, this imaginary idea has become part of our life. Like in other fiel
Externí odkaz:
https://doaj.org/article/1744ecfe229a4ad1bf2092db0c5cb620