Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Mohammad Khishe"'
Autor:
Javed Iqbal, Habib Ullah, Mohammad Khishe, Seyed Majid Hasani Azhdari, Raiz Ullah, Zaffar Iqbal
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Researchers are now avoiding perovskite materials containing lead due to their toxicity and instability in open air and heat. In this study, our research group worked on potassium-based K2MgSiCl6 & K2MgSiBr6 perovskite compounds and thorough
Externí odkaz:
https://doaj.org/article/9ee55976c0964b029e1cae227f9d6a0c
Autor:
Khaista Rahman, Mohammad Khishe
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract A complex Polytopic fuzzy set (CPoFS) extends a Polytopic fuzzy set (PoFS) by handling vagueness with degrees that range from real numbers to complex numbers within the unit disc. This extension allows for a more nuanced representation of un
Externí odkaz:
https://doaj.org/article/c76b64c5f641402f95adbc6119ca4c1a
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6283-6303 (2024)
Abstract The present study investigates the optimization of the steam gasification process for the conversion of palm oil waste into environmentally friendly energy, utilizing the catalytic properties of calcium oxide and coal bottom ash. The objecti
Externí odkaz:
https://doaj.org/article/a08aed050f71453f84b78ab8c6fbc135
Autor:
Blessing Olamide Taiwo, Angesom Gebretsadik, Hawraa H. Abbas, Mohammad Khishe, Yewuhalashet Fissha, Esma Kahraman, Ahsan Rabbani, Adams Abiodun Akinlabi
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e33099- (2024)
Maximizing the use of explosives is crucial for optimizing blasting operations, significantly influencing productivity and cost-effectiveness in mining activities. This work explores the incorporation of machine learning methods to predict powder fac
Externí odkaz:
https://doaj.org/article/8d9d22febf6c44ecb9c9f96b24b8981e
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28147- (2024)
Deep Convolutional Neural Networks (DCNNs) have shown remarkable success in image classification tasks, but optimizing their hyperparameters can be challenging due to their complex structure. This paper develops the Adaptive Habitat Biogeography-Base
Externí odkaz:
https://doaj.org/article/004b44a260f34c6ea253714aaf9872d4
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 1, Pp 595-611 (2023)
Abstract This research proposes a hybrid improved marine predator algorithm (IMPA) and deep gated recurrent unit (DGRU) model for profit prediction in financial accounting information systems (FAIS). The study addresses the challenge of real-time pro
Externí odkaz:
https://doaj.org/article/d0b7f71e798e4d21a1472b4abcbbf08d
Publikováno v:
PLoS ONE, Vol 19, Iss 8, p e0308474 (2024)
This research article presents the Multi-Objective Hippopotamus Optimizer (MOHO), a unique approach that excels in tackling complex structural optimization problems. The Hippopotamus Optimizer (HO) is a novel approach in meta-heuristic methodology th
Externí odkaz:
https://doaj.org/article/4bb90684f55a4351827521dd67a56a44
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0298373 (2024)
Pulse repetition interval modulation (PRIM) is integral to radar identification in modern electronic support measure (ESM) and electronic intelligence (ELINT) systems. Various distortions, including missing pulses, spurious pulses, unintended jitters
Externí odkaz:
https://doaj.org/article/0cda9504bd85475684978549e3a72ad0
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e19431- (2023)
Financial accounting information systems (FAISs) are one of the scientific fields where deep learning (DL) and swarm-based algorithms have recently seen increased use. Nevertheless, the application of these hybrid networks has become more challenging
Externí odkaz:
https://doaj.org/article/e965bd1bf854458ebba542ef34a44f74
Publikováno v:
Defence Technology, Vol 20, Iss , Pp 58-71 (2023)
Currently, the use of intelligent systems for the automatic recognition of targets in the fields of defence and military has increased significantly. The primary advantage of these systems is that they do not need human participation in target recogn
Externí odkaz:
https://doaj.org/article/ca38092cc9c6489e9903aa0ea348fed3