Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Chin Soon Ku"'
Autor:
Abdullah Ayub Khan, Yen-Lin Chen, Fahima Hajjej, Aftab Ahmed Shaikh, Jing Yang, Chin Soon Ku, Lip Yee Por
Publikováno v:
Egyptian Informatics Journal, Vol 27, Iss , Pp 100502- (2024)
Owing to the major development of social media platforms, the usage of technological adaptation increases by means of editing software tools. Posting media in social communication environments has become one of our common daily routines. Before posti
Externí odkaz:
https://doaj.org/article/828f57fdeb8f4fcc9d45f1af9e9bbcb7
Autor:
Zeng-Wei Hong, Ming-Hsiu Michelle Tsai, Chin Soon Ku, Wai Khuen Cheng, Jian-Tan Chen, Jim-Min Lin
Publikováno v:
Cogent Education, Vol 11, Iss 1 (2024)
AbstractAlthough the existing research on educational robots has exhibited the assistance for EFL learners’ English skills, the evidence which shows robot-assisted systems’ effect on adult learners’ English read-aloud is still rare. Nevertheles
Externí odkaz:
https://doaj.org/article/9abad83999434026bd12e1aaeb999672
Autor:
Lip Yee Por, Zhen Dai, Siew Juan Leem, Yi Chen, Jing Yang, Farid Binbeshr, Koo Yuen Phan, Chin Soon Ku
Publikováno v:
IEEE Access, Vol 12, Pp 144150-144163 (2024)
The detection of zero-day attacks remains one of the most critical challenges in cybersecurity. This systematic literature review focuses on the various AI-based methods employed for detecting zero-day attacks, identifying both the strengths and weak
Externí odkaz:
https://doaj.org/article/62a24303a1574ab9bfbd84557ea00cdb
Autor:
Mohamed Gabr, Amr Diab, Huwaida T. Elshoush, Yen-Lin Chen, Lip Yee Por, Chin Soon Ku, Wassim Alexan
Publikováno v:
IEEE Access, Vol 12, Pp 116457-116477 (2024)
This article proposes a novel double data security algorithm that first encrypts sensitive data using a two-stage encryption method based on numerical solutions from a fractional-order memristive coupled neural network system. Solutions are obtained
Externí odkaz:
https://doaj.org/article/b6090ada954a45669e8b0d9f9e7a48a7
Autor:
Laraib Sana, Muhammad Mohsin Nazir, Jing Yang, Lal Hussain, Yen-Lin Chen, Chin Soon Ku, Mohammed Alatiyyah, Sulaiman Abdullah Alateyah, Lip Yee Por
Publikováno v:
IEEE Access, Vol 12, Pp 82443-82468 (2024)
The ever-expanding Internet of Things (IoT) landscape presents a double-edged sword. While it fosters interconnectedness, the vast amount of data generated by IoT devices creates a larger attack surface for cybercriminals. Intrusions in these environ
Externí odkaz:
https://doaj.org/article/a72f21383ddc4a8db975be298fe39db3
Autor:
Sohail Mahmood Babur, Shafiq Ur Rehman Khan, Jing Yang, Yen-Lin Chen, Chin Soon Ku, Lip Yee Por
Publikováno v:
IEEE Access, Vol 12, Pp 77852-77869 (2024)
In permissionless blockchain systems, Proof of Work (PoW) is utilized to address the issues of double-spending and transaction starvation. When an attacker acquires more than 50% of the hash power of the entire network, they gain the ability to engag
Externí odkaz:
https://doaj.org/article/ce90b32f8aa845b0838a2b574f5372b3
Publikováno v:
IEEE Access, Vol 12, Pp 53408-53423 (2024)
This systematic literature review delves into the dynamic realm of graphical passwords, focusing on the myriad security attacks they face and the diverse countermeasures devised to mitigate these threats. The core objective of this paper is to identi
Externí odkaz:
https://doaj.org/article/5058fd0aa8b4463ba193df4e130b81d0
Publikováno v:
IEEE Access, Vol 12, Pp 9369-9381 (2024)
The challenge of bankruptcy prediction, critical for averting financial sector losses, is amplified by the prevalence of imbalanced datasets, which often skew prediction models. Addressing this, our study introduces the innovative hybrid model XGBoos
Externí odkaz:
https://doaj.org/article/5c27d23ca455416d9f0fae1fb615e58c
Autor:
Siavash Taherinavid, Seyed Vahid Moravvej, Yen-Lin Chen, Jing Yang, Chin Soon Ku, Por Lip Yee
Publikováno v:
IEEE Access, Vol 12, Pp 514-533 (2024)
The increasing dependence on smartphones with advanced sensors has highlighted the imperative of precise transportation mode classification, pivotal for domains like health monitoring and urban planning. This research is motivated by the pressing dem
Externí odkaz:
https://doaj.org/article/297ab8a3c47c4549932c42a64b95d8dd
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30625- (2024)
Automatic classification of colon and lung cancer images is crucial for early detection and accurate diagnostics. However, there is room for improvement to enhance accuracy, ensuring better diagnostic precision. This study introduces two novel dense
Externí odkaz:
https://doaj.org/article/585c9a8e0bfa4c698ad17b12d341f0c7