Wenliang Cao

20 papers Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Novel Magnetic Multitarget Localization Method Based on Energy Mutation Detection.
IEEE Trans. Instrum. Meas.
Jing Zhao, Wenliang Cao, Yong Wang, Hongxing Zhu, Jin Chai, Yi Wang, Yintao Wei, Liangguang Yue
2025 J jnl
Moving Magnetic Target Localization Using Automatically Initialized KalmanNet Driven by Euler Deconvolution.
IEEE Geosci. Remote. Sens. Lett.
Jing Zhao, Zhen Wang, Zonghu Liu, Wenliang Cao, Yan Huang, Pei Qin, Liangguang Yue
2024 J jnl
A Dual Scalar Magnetic Target Localization Method Using Anderson Basis Functions and Cuckoo-Search-Based Spiral Update.
IEEE Geosci. Remote. Sens. Lett.
Wenliang Cao, Yong Wang, Zhen Wang, Jin Chai, Han Wang, Liangguang Yue, Yi Wang, Jing Zhao
2024 J jnl
A Pacesetter-Lévy multi-objective particle swarm optimization with Arnold Chaotic Map with opposition-based learning.
Inf. Sci.
Lanlan Kang, Yu Lai, Jia Wang, Wenliang Cao
2024 J jnl
Nonsingular Calculation of Global Magnetic Gradient Tensor Based on Oblate Spheroidal Harmonics Representation.
IEEE Trans. Geosci. Remote. Sens.
Han Wang, Wenliang Cao, Yanju Ji, Jing Zhao
2023 J jnl
A modified multi-objective particle swarm optimisation with entropy adaptive strategy and Levy mutation in the internet of things environment.
Int. J. Grid Util. Comput.
Lanlan Kang, Xing Zhong, Wenliang Cao, Jianxin Li
2023 J jnl
Classify Text-based Email Using Naive Bayes Method With Small Sample.
J. Inf. Sci. Eng.
Yanjun Zhu, Ting Zhu, Jianxin Li, Wenliang Cao, Peng Yong, Fei Jiang, Jie Liu
2023 J jnl
Many-objective particle swarm optimisation algorithm based on multi-elite opposition mutation mechanism in the internet of things environment.
Int. J. Grid Util. Comput.
Lanlan Kang, Naiwei Liu, Wenliang Cao, Yeh-Cheng Chen
2023 J jnl
Mobile visual search algorithm based on improved VGG-F and hash with application in IoT.
Int. J. Grid Util. Comput.
Shanshan Ji, Jianxin Li, Jie Liu, Wenliang Cao, Bin Li, Fei Jiang, Yang Liu
2023 J jnl
Violence Detection Method Based on Convolution Neural Network and Trajectory.
J. Inf. Sci. Eng.
Jianxin Li, Jie Liu, Chao Li, Wenliang Cao, Bin Li, Fei Jiang, Jinyu Huang, Yingxia Guo, Yang Liu
2022 J jnl
A back-diffusion median integrated evolutionary optimization algorithm.
Inf. Sci.
Lanlan Kang, Naiwei Liu, Xinrong Lu, Wenliang Cao, Yong Peng
2022 J jnl
An optimized image watermarking algorithm based on SVD and IWT.
J. Supercomput.
Ting Zhu, Wen Qu, Wenliang Cao
2021 J jnl
An adaptively reversed diffusion dual-drive evolutionary algorithm in dynamic environments for intelligence prediction.
Appl. Soft Comput.
Lanlan Kang, Wenliang Cao, Ruey-Shun Chen, Yeh-Cheng Chen
2021 J jnl
Dual-drive opposition-based non-inertial particle swarm optimization for deep learning in IoTs.
J. Supercomput.
Wenliang Cao, Lanlan Kang, Zu-Wen Liu
2020 J jnl
Mechanism analysis of non-inertial particle swarm optimization for Internet of Things in edge computing.
Eng. Appl. Artif. Intell.
Lanlan Kang, Ruey-Shun Chen, Wenliang Cao, Yeh-Cheng Chen, Yu-Xi Hu
2020 J jnl
Non-inertial opposition-based particle swarm optimization and its theoretical analysis for deep learning applications.
Appl. Soft Comput.
Lanlan Kang, Ruey-Shun Chen, Wenliang Cao, Yeh-Cheng Chen
2018 — conf
Using Naïve Bayes Method to Classify Text-Based Email.
PAAP
Lanlan Kang, Ruey-Shun Chen, Yeh-Cheng Chen, Wenliang Cao
2011 — conf
IT talent demand forecast and research in Dongguan based on Grey System Theory.
EMEIT
Wenliang Cao, Dingxiu He, Xuanzi Hu
2011 — conf
Research of the mining algorithm based on distributed database.
FSKD
Wenliang Cao, Xuanzi Hu, Chongjie Dong
2005 — conf
Fault Diagnosis Approach Based on Qualitative Model of Signed Directed Graph and Reasoning Rules.
FSKD (2)
Bingshu Wang, Wenliang Cao, Liangyu Ma, Ji Zhang