Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Zool Hilmi Ismail"'
Publikováno v:
International Journal of Prognostics and Health Management, Vol 15, Iss 2 (2024)
It is well known among practitioner, majority collected data from industrial process plant are unlabeled. The collected historical data if utilize, able to provide vital information of process plant condition. Learning from unlabeled dataset, this st
Externí odkaz:
https://doaj.org/article/cc5fab3cbb4a448c975c84aaf3517d21
Autor:
Abdulraqeb Alhammadi, Rajaa Mohammed Al-Alawi, Majan Abdullah Al Jahdhami, Ayman A. El-Saleh, Zool Hilmi Ismail, Zaid Ahmed Shamsan, Ibraheem Shayea
Publikováno v:
IEEE Access, Vol 12, Pp 120840-120863 (2024)
The exponential surge in mobile device usage has propelled a steep rise in mobile data demand, particularly with the advent of 5G networks aiming to cater to this burgeoning need. Ensuring top-notch quality of service (QoS) is pivotal in deploying su
Externí odkaz:
https://doaj.org/article/b70cf2a6c63442a7b9f3c40a0f8aeb98
Publikováno v:
IEEE Access, Vol 12, Pp 23029-23042 (2024)
The Order-Picking System (OPS) is vital for inbound logistics, ensuring efficient customer order fulfillment and minimizing costs. Efficient execution and implementation of OPS are critical to meeting customer demands and reducing dissatisfaction, ne
Externí odkaz:
https://doaj.org/article/82b423a66cf54b528aceb6ee3c0f5fa8
Autor:
Abdulraqeb Alhammadi, Zool Hilmi Ismail, Ibraheem Shayea, Zaid Ahmed Shamsan, Majid Alsagabi, Sulaiman Al-Sowayan, Sawsan Ali Saad, Mohammad Alnakhli
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 52, Iss , Pp 101671- (2024)
Effective mobility management in heterogeneous networks is significant in ensuring seamless handovers (HOs) between diverse cell types, especially as users move between macrocells, small cells, and femtocells. The widespread and overlapping deploymen
Externí odkaz:
https://doaj.org/article/69722f730e6a4549ad729e0423455343
Autor:
Dina M. Madkour, Mohd Ibrahim Shapiai, Shaza Eva Mohamad, Hesham Hamdy Aly, Zool Hilmi Ismail, Mohd Zamri Ibrahim
Publikováno v:
IEEE Access, Vol 11, Pp 57529-57555 (2023)
Algae represent the majority of the diversity on Earth and are a large group of organisms that have photosynthetic properties that are important to life. The species of algae are estimated to be more than 1 million, they play an important role in man
Externí odkaz:
https://doaj.org/article/5b3f40f31e154b80b1a0cb0f50bc0253
Autor:
Subash C.B. Gopinath, Santheraleka Ramanathan, Mohd Najib Mohd Yasin, Mohd Ibrahim Shapiai Razak, Zool Hilmi Ismail, Syahrizal Salleh, Zaliman Sauli, M.B. Malarvili, Sreeramanan Subramaniam
Publikováno v:
Journal of Materials Research and Technology, Vol 21, Iss , Pp 3451-3461 (2022)
Defects of silicon (Si) semiconductor epilayers are crucial to be identified at laboratory environs. The identification of failure and its rectification at laboratory settings is essential for large-scaling manufacturing of narrowed down semiconducto
Externí odkaz:
https://doaj.org/article/9dfa890cb904450695577f296197038e
Autor:
Gianmarco Goycochea Casas, Zool Hilmi Ismail, Mathaus Messias Coimbra Limeira, Antonilmar Araújo Lopes da Silva, Helio Garcia Leite
Publikováno v:
Forests, Vol 14, Iss 12, p 2369 (2023)
The objective of this project was to automate the detection and counting process of stacked eucalypt (hybrid Eucalyptus urophylla x Eucalyptus grandis) timber in the forestry industry using the YOLOv8 model. The dataset consists of 230 diverse images
Externí odkaz:
https://doaj.org/article/da5cdeb9a8b3476296dfc68ea6f8aafa
Autor:
Uzma Batool, Mohd Ibrahim Shapiai, Muhammad Tahir, Zool Hilmi Ismail, Noor Jannah Zakaria, Ahmed Elfakharany
Publikováno v:
IEEE Access, Vol 9, Pp 116572-116593 (2021)
Advancements in technology have made deep learning a hot research area, and we see its applications in various fields. Its widespread use in silicon wafer defect recognition is replacing traditional machine learning and image processing methods of de
Externí odkaz:
https://doaj.org/article/5090733250b74e6d886ac94a30349683
Autor:
Mohamed Sami Nafea, Zool Hilmi Ismail
Publikováno v:
Bioengineering, Vol 9, Iss 12, p 781 (2022)
Electroencephalography (EEG) is a complicated, non-stationary signal that requires extensive preprocessing and feature extraction approaches to be accurately analyzed. In recent times, Deep learning (DL) has shown great promise in exploiting the char
Externí odkaz:
https://doaj.org/article/494e6ddb15b44a8b8e5ce26358d7f155
Publikováno v:
IEEE Access, Vol 7, Pp 175062-175070 (2019)
In today's society, increasing the quality and the productivity of dairy products are very important and need detailed data collection and analysis. Manual collection of data and its analysis for livestock monitoring is costly in terms of high man po
Externí odkaz:
https://doaj.org/article/1de3fc60808e431db82b95cd8bbdff95