Zobrazeno 1 - 10
of 222
pro vyhledávání: '"WANLIN GAO"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 5, Pp 102076- (2024)
Currently, many scholars have investigated reversible data hiding (RDH) based on automatic contrast enhancement (ACE). For RDH based on ACE (ACERDH), various methods have been proposed on how to better improve image quality. Preserving brightness can
Externí odkaz:
https://doaj.org/article/6a715d87291a417daa8ae03f6673969a
Autor:
Vu Ngoc Tuan, Trinh Dinh Dinh, Abdul Mateen Khattak, Lihua Zheng, Xiaofei Chu, Wanlin Gao, Minjuan Wang
Publikováno v:
IEEE Access, Vol 8, Pp 28289-28300 (2020)
Phosphate is one of the major elements affecting agricultural production. The accurate determination of phosphate concentration essential for plant growth, especially in a hydroponics system, allows regulating the balanced and suitable range set of n
Externí odkaz:
https://doaj.org/article/0e16707278464def8883e2b94a40f920
Autor:
Iftikhar Ahmed Saeed, Minjuan Wang, Yanzhao Ren, Qinglan Shi, Muhammad Hammad Malik, Sha Tao, Qiang Cai, Wanlin Gao
Publikováno v:
Soil and Water Research, Vol 14, Iss 4, Pp 195-199 (2019)
Soil moisture (SM) varies greatly in the soil profile. We developed a low-cost sensor for SM monitoring at three vertical depths. The sensor function was based on dielectric theory to monitor SM. Three linear calibration models were established using
Externí odkaz:
https://doaj.org/article/9dc80a43226940fe87471c5a17b6593a
Publikováno v:
Drones, Vol 7, Iss 1, p 23 (2022)
Accurate and continuous monitoring of crop growth is vital for the development of precision agriculture. Unmanned aerial vehicle (UAV) and satellite platforms have considerable complementarity in high spatial resolution (centimeter-scale) and fixed r
Externí odkaz:
https://doaj.org/article/354d5d11614b4ed3aa7a9fdcc6153e6c
Autor:
Zhongqi Lin, Shaomin Mu, Feng Huang, Khattak Abdul Mateen, Minjuan Wang, Wanlin Gao, Jingdun Jia
Publikováno v:
IEEE Access, Vol 7, Pp 11570-11590 (2019)
Fine-grained image classification methods often suffer from the challenge that the subordinate categories within an entry-level category can only be distinguished by subtle differences. Crop disease classification is affected by various visual interf
Externí odkaz:
https://doaj.org/article/dd0bbee7c9d14fea9f50e6adf3cfbb07
Publikováno v:
IEEE Access, Vol 7, Pp 21981-21989 (2019)
Pedestrian detection is a key problem for automatic driving, and the results have been improved significantly via deep convolutional networks. However, there is still room to improve the performance of pedestrian detection by carefully dealing with s
Externí odkaz:
https://doaj.org/article/5a3e49b95de54b2987de074726792a23
Publikováno v:
IEEE Access, Vol 7, Pp 64177-64185 (2019)
China's soybean supply and demand are seriously imbalanced. It is crucial to improve the level of soybean breeding. Hundred-grain weight is one of the most essential phenotypic parameters for crop breeding. Accurate soybean seed counting is a key ste
Externí odkaz:
https://doaj.org/article/e3cdf4b62b2a42c2be61939d4067eeed
Publikováno v:
IEEE Access, Vol 7, Pp 56028-56038 (2019)
Effective and efficient fruit detection is considered crucial for designing automated robot (AuRo) for yield estimation, disease control, harvesting, sorting, and grading. Several fruit detection schemes for designing AuRo have been developed during
Externí odkaz:
https://doaj.org/article/b1f3d82ab83044c983043933678dd1da
Publikováno v:
IEEE Access, Vol 7, Pp 123367-123392 (2019)
Existing fine-grained categorization methods predominantly conquer challenges independently, while neglecting the fact that patch proposal and feature extraction can reinforce each other. This necessitates to extract the domain-specific representatio
Externí odkaz:
https://doaj.org/article/4d2030c8ee5049cbb91aff1377302c05
Publikováno v:
IEEE Access, Vol 7, Pp 92365-92377 (2019)
To address the problems of high computational complexity, inflexible frame length adjustment, and sub-optimal system efficiency of the RFID tag anti-collision algorithms in the Internet-of-Things systems, a low-complexity, and universal fast RFID tag
Externí odkaz:
https://doaj.org/article/430b1489a4be4b15a31ab60ca1061112