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2020 – today
- 2024
[j15]Jian Qin, Yongjun He
, Yiqin Liang, Lanlan Kang, Jing Zhao, Bo Ding:
Cell comparative learning: A cervical cytopathology whole slide image classification method using normal and abnormal cells. Comput. Medical Imaging Graph. 117: 102427 (2024)- [j14]Lanlan Kang, Yu Lai, Jia Wang, Wenliang Cao:
A Pacesetter-Lévy multi-objective particle swarm optimization with Arnold Chaotic Map with opposition-based learning. Inf. Sci. 678: 121048 (2024) - 2023
- [j13]Lanlan Kang, Naiwei Liu, Wenliang Cao, Yeh-Cheng Chen:
Many-objective particle swarm optimisation algorithm based on multi-elite opposition mutation mechanism in the internet of things environment. Int. J. Grid Util. Comput. 14(2/3): 107-121 (2023) - [j12]Lanlan Kang, Xing Zhong, Wenliang Cao, Jianxin Li:
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. 14(2/3): 169-181 (2023) - 2022
- [j11]Dongbo Zhang, Huang Dongru, Lanlan Kang, Wei Zhang:
The generative adversarial networks and its application in machine vision. Enterp. Inf. Syst. 16(2): 326-346 (2022) - [j10]Lanlan Kang, Naiwei Liu, Xinrong Lu, Wenliang Cao, Yong Peng:
A back-diffusion median integrated evolutionary optimization algorithm. Inf. Sci. 610: 144-155 (2022) - 2021
- [j9]Lanlan Kang, Wenliang Cao, Ruey-Shun Chen, Yeh-Cheng Chen:
An adaptively reversed diffusion dual-drive evolutionary algorithm in dynamic environments for intelligence prediction. Appl. Soft Comput. 110: 107761 (2021) - [j8]Wenliang Cao, Lanlan Kang, Zu-Wen Liu:
Dual-drive opposition-based non-inertial particle swarm optimization for deep learning in IoTs. J. Supercomput. 77(7): 7440-7454 (2021) - 2020
- [j7]Lanlan Kang, Ruey-Shun Chen, Wenliang Cao, Yeh-Cheng Chen:
Non-inertial opposition-based particle swarm optimization and its theoretical analysis for deep learning applications. Appl. Soft Comput. 88: 106038 (2020) - [j6]Lanlan Kang, Ruey-Shun Chen, Wenliang Cao, Yeh-Cheng Chen, Yu-Xi Hu:
Mechanism analysis of non-inertial particle swarm optimization for Internet of Things in edge computing. Eng. Appl. Artif. Intell. 94: 103803 (2020) - [j5]Wanjuan Song, Wenyong Dong, Lanlan Kang:
Group anomaly detection based on Bayesian framework with genetic algorithm. Inf. Sci. 533: 138-149 (2020)
2010 – 2019
- 2019
- [j4]Lanlan Kang, Ruey-Shun Chen, Naixue Xiong, Yeh-Cheng Chen, Yu-Xi Hu, Chien-Ming Chen:
Selecting Hyper-Parameters of Gaussian Process Regression Based on Non-Inertial Particle Swarm Optimization in Internet of Things. IEEE Access 7: 59504-59513 (2019) - [j3]Lanlan Kang, Ruey-Shun Chen, Yeh-Cheng Chen, Chung-Chei Wang, Xingguan Li, Tsu-Yang Wu:
Using Cache Optimization Method to Reduce Network Traffic in Communication Systems Based on Cloud Computing. IEEE Access 7: 124397-124409 (2019) - 2018
- [c4]Lanlan Kang, Ying Cui:
Uniform Opposition-Based Particle Swarm. PAAP 2018: 81-85 - [c3]Lanlan Kang, Ruey-Shun Chen, Yeh-Cheng Chen, Wenliang Cao:
Using Naïve Bayes Method to Classify Text-Based Email. PAAP 2018: 94-98 - 2017
- [j2]Wenyong Dong, Lanlan Kang, Wensheng Zhang:
Opposition-based particle swarm optimization with adaptive mutation strategy. Soft Comput. 21(17): 5081-5090 (2017) - [c2]Lanlan Kang, Wenyong Dong, Shanni Li, Jianxin Li:
Differential Opposition-Based Particle Swarm. ISICA (2) 2017: 3-15 - 2015
- [j1]Lanlan Kang, Wenyong Dong, Jiangsen Tian:
一种自适应柯西变异的反向学习粒子群优化算法 (Opposition-based Particle Swarm Optimization with Adaptive Cauchy Mutation). 计算机科学 42(10): 226-231 (2015) - [c1]Lanlan Kang, Wenyong Dong, Kangshun Li:
Adaptive Mutation Opposition-Based Particle Swarm Optimization. ISICA 2015: 116-128
Coauthor Index
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