Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Kok SW"'
Autor:
Dominic Chee Yong Ong, Kok Swee Sim
Publikováno v:
IEEE Access, Vol 12, Pp 155747-155772 (2024)
Noises are commonly present in grayscale images, particularly in Scanning Electron Microscope (SEM) images especially secondary emission noise, which can significantly affect their quality. Signal-to-Noise Ratio (SNR) estimation techniques are crucia
Externí odkaz:
https://doaj.org/article/05ed89c7d42b47c2855d325bd066d8fd
Publikováno v:
IEEE Access, Vol 12, Pp 112008-112024 (2024)
In recent years, the remarkable advancement of WiFi sensing technologies has opened new frontiers in human activity recognition, enabling innovative solutions that transcend traditional methods and improve the capabilities of intelligent environments
Externí odkaz:
https://doaj.org/article/48deb6040fdd451c8a17ee1e6d83299e
Publikováno v:
IEEE Access, Vol 12, Pp 17522-17540 (2024)
Deep learning (DL) has demonstrated remarkable achievements in various fields. Nevertheless, DL models encounter significant challenges in detecting and defending against adversarial samples (AEs). These AEs are meticulously crafted by adversaries, i
Externí odkaz:
https://doaj.org/article/b5e4057a3373471aa42f4cdc86757586
Publikováno v:
IEEE Access, Vol 11, Pp 76330-76346 (2023)
Digital networks and systems are susceptible to malicious software (malware) attacks. Deep learning (DL) models have recently emerged as effective methods to classify and detect malware. However, DL models often relies on gradient descent optimizatio
Externí odkaz:
https://doaj.org/article/c76c8fe1b7294a65b403bd096fa9ff3b
Publikováno v:
IEEE Access, Vol 11, Pp 39866-39878 (2023)
Accurate fault detection and diagnosis (FDD) is critical to ensure the safe and reliable operation of industrial machines. Deep learning has recently emerged as effective methods for machine FDD applications. However, the gradient descent optimizatio
Externí odkaz:
https://doaj.org/article/7cb27b7f1ce64c10b9e9a1f5a0d61e5c
Publikováno v:
IEEE Access, Vol 9, Pp 58870-58881 (2021)
Attentive learning is an important feature of the learning process. It provides a beneficial learning experience and plays a key role in generating positive learning outcomes. Most studies widely applied electroencephalogram (EEG) to measure human at
Externí odkaz:
https://doaj.org/article/f2fbe326e241447c9461c6c1e55674c5
Publikováno v:
IEEE Access, Vol 9, Pp 120551-120566 (2021)
The educational concepts upholding the theory of brain dominance have been developed for more than 30 years. Some academicians developed a series of the syllabus to exploit the brain capability of students by training their weaker hemisphere of the b
Externí odkaz:
https://doaj.org/article/868f7b95caad4c2fbb5e6cd086cef76c
Publikováno v:
IEEE Access, Vol 8, Pp 199920-199930 (2020)
Pain is a complex subjective unpleasant experience that can potentially cause tissue damage. In clinical practice, the main method used for assessing pain is self-report; however, it is not possibly adopted in a huge number of vulnerable populations
Externí odkaz:
https://doaj.org/article/81d0f9d27cbd49c2a740c285a69b448b
Publikováno v:
IEEE Access, Vol 8, Pp 135811-135820 (2020)
The stroke, which is a sudden cut in the blood supply in the brain, has become a severe phenomenon. It has affected around 15 million people annually worldwide. Methods of stroke discovery and monitoring the patient's recovery are a long process, ran
Externí odkaz:
https://doaj.org/article/33e70fac7b524a3ab735028864a4c602
Autor:
Mohammad Aiman Mustaffa, Faiz Arith, Nur Syamimi Noorasid, Mohd Shahril Izuan Mohd Zin, Kok Swee Leong, Fara Ashikin Ali, Ahmad Nizamuddin Muhammad Mustafa, Mohd Muzafar Ismail
Publikováno v:
Micromachines, Vol 13, Iss 12, p 2200 (2022)
A nanogenerator (NG) is an energy harvester device that converts mechanical energy into electrical energy on a small scale by relying on physical changes. Piezoelectric semiconductor materials play a key role in producing high output power in piezoel
Externí odkaz:
https://doaj.org/article/7775de4adc3640a298b7ab7d71cfbb5e