Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Mohd Halim Mohd NOOR"'
Autor:
Feifan Yi, Ahmad Sufril Azlan Mohamed, Mohd Halim Mohd Noor, Fakhrozi Che Ani, Zol Effendi Zolkefli
Publikováno v:
PeerJ Computer Science, Vol 10, p e2548 (2024)
Defects in printed circuit boards (PCBs) occurring during the production process of consumer electronic products can have a substantial impact on product quality, compromising both stability and reliability. Despite considerable efforts in PCB defect
Externí odkaz:
https://doaj.org/article/55461cb4dc97494b9594805c849e5e0c
Autor:
Wei Jie Brigitte Liau, Shiek Chi Tay, Ahmad Sufril Azlan Mohamed, Mohd Nadhir Ab Wahab, Lay Chuan Lim, Beng Kang Khaw, Mohd Halim Mohd Noor
Publikováno v:
IEEE Access, Vol 12, Pp 61235-61251 (2024)
Machine vision systems with programmed text detection and text recognition features are useful in manufacturing process to automatically locate and read text markings on mounted printed circuit board (PCB) components. To better handle input images wi
Externí odkaz:
https://doaj.org/article/e4ac7eda3951454194182ef870e14872
Autor:
Tay Shiek Chi, Mohd Nadhir Ab Wahab, Ahmad Sufril Azlan Mohamed, Mohd Halim Mohd Noor, Khaw Beng Kang, Lim Lay Chuan, Liau Wei Jie Brigitte
Publikováno v:
IEEE Access, Vol 12, Pp 25066-25078 (2024)
Ensuring the quality and functionality of printed circuit boards (PCBs) during manufacturing requires precise, automated visual inspection. Detecting integrated circuits (ICs) on PCBs poses a significant challenge due to diverse component sizes, type
Externí odkaz:
https://doaj.org/article/d611591617664ec58d3e9420500eaafb
Autor:
Mohd Nadhir Ab Wahab, Amril Nazir, Ashraf Khalil, Benjamin Bhatt, Mohd Halim Mohd Noor, Muhammad Firdaus Akbar, Ahmad Sufril Azlan Mohamed
Publikováno v:
PLoS ONE, Vol 19, Iss 8, p e0308264 (2024)
Path planning is a crucial element of mobile robotics applications, attracting considerable interest from academics. This paper presents a path-planning approach that utilises the Enhanced Firefly Algorithm (EFA), a new meta-heuristic technique. The
Externí odkaz:
https://doaj.org/article/8eee2a4454ae4d77b08a67493a8cb5b4
Autor:
Tian Zhonglin, Mohd Nadhir Ab Wahab, Muhammad Firdaus Akbar, Ahmad Sufril Azlan Mohamed, Mohd Halim Mohd Noor, Bakhtiar Affendi Rosdi
Publikováno v:
IEEE Access, Vol 11, Pp 76827-76841 (2023)
Standard Multi-Object Tracking (MOT) frameworks are currently categorised into three categories: tracking-by-detection, joint detection, and tracking and attention mechanisms. Infrequently, the latter two frameworks require substantial computing reso
Externí odkaz:
https://doaj.org/article/e1d865e53de64822b30c373ac95d1e71
Publikováno v:
IEEE Access, Vol 11, Pp 59866-59881 (2023)
According to the literature reviews, the Gray Wolf Optimization (GWO) algorithm has been applied to various optimization problems, including feature selection. It is important to consider two opposing ideas while using the metaheuristic technique, ex
Externí odkaz:
https://doaj.org/article/5c0ac890f1f4453dbdeafcb3364b7418
Autor:
Ayokunle Olalekan Ige, Nikhil Kumar Tomar, Felix Ola Aranuwa, Oluwafemi Oriola, Alaba O. Akingbesote, Mohd Halim Mohd Noor, Manuel Mazzara, Benjamin Segun Aribisala
Publikováno v:
IEEE Access, Vol 11, Pp 16142-16155 (2023)
Colorectal cancer occurs in the rectal of humans, and early detection has been proved to reduce its mortality rate. Colonoscopy is the standard used in detecting the presence of polyps in the rectal, and accurate segmentation of the polyps from colon
Externí odkaz:
https://doaj.org/article/dc5805b5a5124272815a4ac2c8082de7
Autor:
Haruna Abdu, Mohd Halim Mohd Noor
Publikováno v:
IEEE Access, Vol 10, Pp 128151-128165 (2022)
Waste or trash management is receiving increased attention for intelligent and sustainable development, particularly in developed and developing countries. The waste or trash management system comprises several related processes that carry out variou
Externí odkaz:
https://doaj.org/article/4a4663b949dd49a58624318a7123ee87
Autor:
Ali Olow Jimale, Mohd Halim Mohd Noor
Publikováno v:
IEEE Access, Vol 10, Pp 100257-100266 (2022)
Conditional Generative Adversarial Networks (CGAN) have shown great promise in generating synthetic data for sensor-based activity recognition. However, one key issue concerning existing CGAN is the design of the network architecture that affects sam
Externí odkaz:
https://doaj.org/article/50c607be157b4d0dafbc3c88eeed93ec
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 5, Pp 4829-4855 (2021)
Deep learning approaches have attracted a lot of attention in the automatic detection of Covid-19 and transfer learning is the most common approach. However, majority of the pre-trained models are trained on color images, which can cause inefficienci
Externí odkaz:
https://doaj.org/article/9fec557189cb474bb4759b50e086d470