Zobrazeno 1 - 10
of 126
pro vyhledávání: '"Zhonglong Zheng"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract This work addresses a critical issue: the deterioration of concrete structures due to fine-grained cracks, which compromises their strength and longevity. To tackle this problem, experts have turned to computer vision (CV) based automated st
Externí odkaz:
https://doaj.org/article/6aed467d02c441e3b6389b7eca784c45
Publikováno v:
IEEE Access, Vol 12, Pp 29824-29836 (2024)
This study addresses the Weighted Multi-Skill Resource Constrained Project Scheduling Problem (W-MSRCSPSP) with the aim of minimizing software project makespan. Unlike previous works, our investigation regards heterogeneous resources characterized by
Externí odkaz:
https://doaj.org/article/cffaf7b1bcc54474a022ac767e699043
Autor:
Farah Shahid, Atif Mehmood, Rizwan Khan, Ahmad AL Smadi, Muhammad Yaqub, Mutasem K. Alsmadi, Zhonglong Zheng
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 10, Pp 101816- (2023)
Various supervised machine-learning algorithms for wind power forecasting have been developed in recent years to manage wind power fluctuations and effectively correlate to energy consumption; Meanwhile, the performance of the model does suffer from
Externí odkaz:
https://doaj.org/article/e3dac85c0aa7424a9fc02d392efab8a9
Autor:
Rizwan Khan, Saeed Akbar, Ali Khan, Muhammad Marwan, Zahid Hussain Qaisar, Atif Mehmood, Farah Shahid, Khushboo Munir, Zhonglong Zheng
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Intelligent robotics and expert system applications in dentistry suffer from identification and detection problems due to the non-uniform brightness and low contrast in the captured images. Moreover, during the diagnostic process, exposure o
Externí odkaz:
https://doaj.org/article/4b2ef4744f0947f3b059e6e47d6cc624
Publikováno v:
IEEE Access, Vol 11, Pp 11840-11848 (2023)
Target tracking is one of the challenging tasks in computer vision. Usually, the center of target origins from the position with the largest response value, and the key to improving tracking performance is to learn reliable feature maps. This paper a
Externí odkaz:
https://doaj.org/article/f27f46bb0c6d487cb497ff43c4b63400
Autor:
Rizwan Khan, Saeed Akbar, Atif Mehmood, Farah Shahid, Khushboo Munir, Naveed Ilyas, M. Asif, Zhonglong Zheng
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2023)
Alzheimer's is an acute degenerative disease affecting the elderly population all over the world. The detection of disease at an early stage in the absence of a large-scale annotated dataset is crucial to the clinical treatment for the prevention and
Externí odkaz:
https://doaj.org/article/f9632901161b4f95ac29940a86485e76
Publikováno v:
Drones, Vol 7, Iss 6, p 368 (2023)
Unmanned aerial vehicles (UAVs) are promising in large-area data collection due to their flexibility and easy maintenance. In this work, we study a UAV-enabled wireless sensor network (WSN), where K UAVs are dispatched to collect a certain amount of
Externí odkaz:
https://doaj.org/article/ee08d117e9d144bc9292820e5fb08ca3
Publikováno v:
Mathematics, Vol 11, Iss 9, p 2175 (2023)
Deep hashing has received a great deal of attraction in large-scale data analysis, due to its high efficiency and effectiveness. The performance of deep hashing models heavily relies on label information, which is very expensive to obtain. In this wo
Externí odkaz:
https://doaj.org/article/98ee9b36931b4dfdb488cea9ff3b4a61
Publikováno v:
IEEE Access, Vol 9, Pp 15004-15014 (2021)
Aiming at alleviate the detrimental effect of similar object interferences and target state changes in SiamRPN tracker, a Channel Positive and Negative Feedback Network (CPFN) is proposed, in which the Gaussian score map is generated by the feature c
Externí odkaz:
https://doaj.org/article/06192d55641541afbe14ba8807de2512
Publikováno v:
IEEE Access, Vol 9, Pp 57325-57337 (2021)
Image deraining is a low-level restoration task that has become quite popular during the past decades. Although recent data-driven deraining models exhibit promising results, most of these models are trained on synthetic rain data sets which do not g
Externí odkaz:
https://doaj.org/article/db778bf8e7f94c34bbaf2bda25459dfc