Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Malik Braik"'
Autor:
Ruba Abu Khurma, Malik Braik, Abdullah Alzaqebah, Krishna Gopal Dhal, Robertas Damaševičius, Bilal Abu-Salih
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-74 (2024)
Abstract The article introduces an innovative approach to global optimization and feature selection (FS) using the RIME algorithm, inspired by RIME-ice formation. The RIME algorithm employs a soft-RIME search strategy and a hard-RIME puncture mechani
Externí odkaz:
https://doaj.org/article/4a3992a91d1e417a87db28903066af8b
Autor:
Alaa Sheta, Thaer Thaher, Salim R. Surani, Hamza Turabieh, Malik Braik, Jingwei Too, Noor Abu-El-Rub, Majdi Mafarjah, Hamouda Chantar, Shyam Subramanian
Publikováno v:
Diagnostics, Vol 13, Iss 14, p 2417 (2023)
Obstructive sleep apnea (OSA) is a prevalent sleep disorder that affects approximately 3–7% of males and 2–5% of females. In the United States alone, 50–70 million adults suffer from various sleep disorders. OSA is characterized by recurrent ep
Externí odkaz:
https://doaj.org/article/2c30d3ecca194c0c8d7a47c4f487c888
Publikováno v:
IEEE Access, Vol 9, Pp 76325-76339 (2021)
Image reconstruction for industrial applications based on Electrical Capacitance Tomography (ECT) has been broadly applied. The goal of image reconstruction based ECT is to locate the distribution of permittivity for the dielectric substances along t
Externí odkaz:
https://doaj.org/article/12d7ddb7efeb4f4bb06768f89a57f899
Publikováno v:
Applied Sciences, Vol 11, Iss 14, p 6492 (2021)
Quadrotor UAVs are one of the most preferred types of small unmanned aerial vehicles, due to their modest mechanical structure and propulsion precept. However, the complex non-linear dynamic behavior of the Proportional Integral Derivative (PID) cont
Externí odkaz:
https://doaj.org/article/d8b35c503184421488a5362749fc88d4
Autor:
Amjad Qtaish, Dheeb Albashish, Malik Braik, Mohammad T. Alshammari, Abdulrahman Alreshidi, Eissa Jaber Alreshidi
Publikováno v:
Electronics; Volume 12; Issue 9; Pages: 2042
The rapid expansion of medical data poses numerous challenges for Machine Learning (ML) tasks due to their potential to include excessive noisy, irrelevant, and redundant features. As a result, it is critical to pick the most pertinent features for t
Publikováno v:
The Journal of Supercomputing.
Publikováno v:
Artificial Intelligence Review. 56:27-99
Publikováno v:
Journal of Intelligent Manufacturing. 34:1911-1940
Autor:
Malik Braik
Publikováno v:
Cluster Computing.
Publikováno v:
Biomedical Signal Processing and Control. 84:104718