Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Ibrahim Shapiai"'
Autor:
Gianmarco Goycochea Casas, Zool Hilmi Ismail, Mathaus Messias Coimbra Limeira, Carlos Pedro Boechat Soares, José Marinaldo Gleriani, Daniel Henrique Brada Binoti, Carlos Alberto Araújo Júnior, Mohd Ibrahim Shapiai, Leonardo Ippolito Rodrigues, Tassius Menezes Araújo, Helio Garcia Leite
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100653- (2024)
Accurate timber quantification is essential in forestry and the timber industry, impacting harvest planning, processing, pricing, and overall supply chain management. Traditional methods for estimating the volume of stacked timber, often reliant on m
Externí odkaz:
https://doaj.org/article/d7951f75220240fa9f4c8b5e6fef7ced
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The classification of Alzheimer's disease (AD) using deep learning models is hindered by the limited availability of data. Medical image datasets are scarce due to stringent regulations on patient privacy, preventing their widespread use in
Externí odkaz:
https://doaj.org/article/36e104aa5aba45b791a5162ec33c8396
Autor:
Mazleenda Mazni, Abdul Rashid Husain, Mohd Ibrahim Shapiai, Izni Syahrizal Ibrahim, Devi Willieam Anggara, Riyadh Zulkifli
Publikováno v:
Alexandria Engineering Journal, Vol 92, Iss , Pp 310-320 (2024)
This study introduces a pioneering system for real-time classification and measurement of concrete surface cracks, a crucial aspect of Structural Health Monitoring (SHM). We harness the power of transfer learning (TL) in Convolutional Neural Networks
Externí odkaz:
https://doaj.org/article/c7bc2719435c41fea5cffb593c4d6e8c
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 5, Iss , Pp 140-152 (2024)
Optimization problems arise in diverse fields such as engineering, economics, and industry. Metaheuristic algorithms, including the Simulated Kalman Filter (SKF), have been developed to solve these problems. SKF, inspired by the Kalman Filter (KF) in
Externí odkaz:
https://doaj.org/article/748b165db8004c04ac324ca9d14ef815
Autor:
Mazleenda Mazni, Abdul Rashid Husain, Mohd Ibrahim Shapiai, Izni Syahrizal Ibrahim, Riyadh Zulkifli, Devi Willieam Anggara
Publikováno v:
Applications of Modelling and Simulation, Vol 8, Pp 1-25 (2024)
Deep learning (DL) has grown in popularity in civil inspection, notably for crack diagnosis, as a means of guaranteeing the long-term stability and security of concrete structures. It is critical to identify cracks to conduct inspections and assessme
Externí odkaz:
https://doaj.org/article/6a141aac3e454a189c482705fe9d1cb1
Publikováno v:
IEEE Access, Vol 11, Pp 108891-108905 (2023)
Silicon wafer defect classification is crucial for improving fabrication and chip production. Although deep learning methods have been successful in single-defect wafer classification, the increasing complexity of the fabrication process has introduc
Externí odkaz:
https://doaj.org/article/8c02eab9b67e4750ac72370e435df47d
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:
Noor Jannah Zakaria, Mohd Ibrahim Shapiai, Rasli Abd Ghani, Mohd Najib Mohd Yassin, Mohd Zamri Ibrahim, Nurbaiti Wahid
Publikováno v:
IEEE Access, Vol 11, Pp 3729-3765 (2023)
One of the essential systems in autonomous vehicles for ensuring a secure circumstance for drivers and passengers is the Advanced Driver Assistance System (ADAS). Adaptive Cruise Control, Automatic Braking/Steer Away, Lane-Keeping System, Blind Spot
Externí odkaz:
https://doaj.org/article/e414fe71b9844807910d301405ac3aee
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:
Kasma Diana Saharuddin, Mohd Hatta Mohammed Ariff, Irfan Bahiuddin, Ubaidillah Ubaidillah, Saiful Amri Mazlan, Siti Aishah Abdul Aziz, Nurhazimah Nazmi, Abdul Yasser Abdul Fatah, Mohd Ibrahim Shapiai
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract This study introduces a novel platform to predict complex modulus variables as a function of the applied magnetic field and other imperative variables using machine learning. The complex modulus prediction of magnetorheological (MR) elastome
Externí odkaz:
https://doaj.org/article/759e1ed5da704787bac11635106170b2