Zobrazeno 1 - 10
of 147
pro vyhledávání: '"Ying W"'
Publikováno v:
IEEE Access, Vol 12, Pp 74843-74860 (2024)
The mutation-based greybox fuzz testing technique is one of the widely used dynamic vulnerability detection techniques. It generates testcases for testing by mutating input seeds. In the process of fuzz testing, the seed scheduling strategy and energ
Externí odkaz:
https://doaj.org/article/429c8824702d4a829a226121758354ca
Autor:
Chuan Xu, Haonan Yu, Liye Mei, Ying Wang, Jian Huang, Wenying Du, Shuangtong Jin, Xinliu Li, Minglin Yu, Wei Yang, Xinghua Li
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6174-6188 (2024)
Remote sensing (RS) image change detection (CD) methods based on deep learning, such as convolutional neural networks (CNNs) and transformers, are still spatial domain-based image processing methods by nature, and their detection accuracy is strongly
Externí odkaz:
https://doaj.org/article/21af7a11a4a949b78486f889019125cd
Publikováno v:
IEEE Access, Vol 12, Pp 63777-63808 (2024)
Fabric defect detection is a crucial step of quality control in textile enterprises. The use of computer vision inspection technology in the textile industry is key to achieving intelligent manufacturing. This study sought to determine the progress m
Externí odkaz:
https://doaj.org/article/c833b02aba4444b4be12e806bdbc1a18
Publikováno v:
IEEE Access, Vol 12, Pp 29175-29193 (2024)
Softwarization and virtualization in 5G and beyond necessitate thorough testing to ensure the security of critical infrastructure and networks. This involves identifying vulnerabilities and unintended emergent behaviors, from protocol designs to thei
Externí odkaz:
https://doaj.org/article/932d114f57fe47b7a24e65c07cc73ece
Autor:
Jingda Yang, Ying Wang
Publikováno v:
IEEE Access, Vol 12, Pp 27858-27869 (2024)
This paper introduces Auto-modeling of Formal Verification with Real-world Prompting for 5G and NextG protocols (AVRE), a novel system designed for the formal verification of Next Generation (NextG) communication protocols, addressing the increasing
Externí odkaz:
https://doaj.org/article/3aa7f375224947878e5e0c5cf21a4be3
Autor:
Ping Xie, Ying Wang, Jian Yu, Yan Lv, Shengcui Cheng, Yingying Hao, Xiaoling Chen, Tengyu Zhang, Jie Chen
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 233-240 (2024)
Motor control is a complex process of coordination and information interaction among neural, motor, and sensory functions. Investigating the correlation between motor-physiological information helps to understand the human motor control mechanisms an
Externí odkaz:
https://doaj.org/article/8a0cc0fff0ec4e4ebef84af467871f18
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1299-1314 (2024)
Precipitation plays a significant role in global water and energy cycles, largely affecting many aspects of human life, such as transportation and agriculture. Recently, meteorologists have tried to predict precipitation with deep learning methods by
Externí odkaz:
https://doaj.org/article/55cfdf85e6a6461d913c61abc34c1890
Publikováno v:
IEEE Access, Vol 11, Pp 131260-131272 (2023)
Predicting student performance is crucial for improving students’ future academic achievements. Within student groups, common characteristics can reveal trends in overall student learning. Most studies tend to focus on the common characteristics of
Externí odkaz:
https://doaj.org/article/ed36f401fddd4fc0bcea67b0444b0ba6
Publikováno v:
IEEE Access, Vol 11, Pp 124004-124013 (2023)
The surface cracks on high-speed railway ballastless track slabs directly influence their lifespan, while the efficiency of damage detection and maintenance is crucial for ensuring operational safety. Leveraging deep learning image processing technol
Externí odkaz:
https://doaj.org/article/489ab7c9941f4579acbd14f2cea81ae8
Publikováno v:
IEEE Access, Vol 11, Pp 123004-123017 (2023)
Based on the strict requirements of industrial applications for network real-time and reliability, this paper considers path performance correlation analysis using network delay parameters and evaluates the performance reliability of distributed netw
Externí odkaz:
https://doaj.org/article/76725815097c4ca69af30ac1af6052d2