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Journal Articles
- 2024
[j7]Kongduo Xing, Junhua Ku
, Jie Zhao:
A Novel Approach to Optimizing Convolutional Neural Networks for Improved Digital Image Segmentation. Int. J. Intell. Syst. 2024: 1-10 (2024)- 2023
- [j6]Haihua Wang, Junhua Ku:
Controllability of Hilfer fractional Langevin evolution equations. Frontiers Appl. Math. Stat. 9 (2023) - [j5]Junhua Ku, Huixiang Zhen, Wenyin Gong:
Offline data-driven optimization based on dual-scale surrogate ensemble. Memetic Comput. 15(2): 139-154 (2023) - 2022
- [j4]Taoyun Zhou, Junhua Ku, Bao-Wang Lian, Yi Zhang:
Indoor positioning algorithm based on improved convolutional neural network. Neural Comput. Appl. 34(9): 6787-6798 (2022) - [j3]Junhua Ku, Fei Ming, Wenyin Gong:
An Ensemble Framework of Evolutionary Algorithm for Constrained Multi-Objective Optimization. Symmetry 14(1): 116 (2022) - 2020
- [j2]Peipei Wang, Xinqi Zheng, Junhua Ku, Chunning Wang:
Multiple-Instance Learning Approach via Bayesian Extreme Learning Machine. IEEE Access 8: 62458-62470 (2020) - 2019
- [j1]Meng Zeng, Yaoming Cai, Zhihua Cai, Xiaobo Liu, Peng Hu, Junhua Ku:
Unsupervised Hyperspectral Image Band Selection Based on Deep Subspace Clustering. IEEE Geosci. Remote. Sens. Lett. 16(12): 1889-1893 (2019)
Conference and Workshop Papers
- 2017
- [c4]Junhua Ku, Bing Zheng:
Distributed Extreme Learning Machine with Kernels Based on Mapreduce for Spectral-Spatial Classification of Hyperspectral Image. CSE/EUC (1) 2017: 325-332 - [c3]Na Chang, Junhua Ku:
A Design of the Shared Farmland System Based on the Internet of Things Technology and IMS. ISICA (1) 2017: 492-498 - [c2]Junhua Ku, Bing Zheng:
Intrusion Detection Based on Self-adaptive Differential Evolution Extreme Learning Machine with Gaussian Kernel. PAAP 2017: 13-24 - 2012
- [c1]Junhua Ku, Dawei Yun, Bing Zheng, She Wei:
An Efficient ID-Based Directed Signature Scheme from Optimal Eta Pairing. ISICA 2012: 440-448
Coauthor Index
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