Shuihua Wang
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A comprehensive survey on particle swarm optimization algorithm and its applications
Y Zhang, S Wang, G Ji
Mathematical problems in engineering 2015 (1), 931256, 2015
Binary PSO with mutation operator for feature selection using decision tree applied to spam detection
Y Zhang, S Wang, P Phillips, G Ji
Knowledge-Based Systems 64, 22-31, 2014
A hybrid method for MRI brain image classification
Y Zhang, Z Dong, L Wu, S Wang
Expert Systems with Applications 38 (8), 10049-10053, 2011
Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation
YD Zhang, Z Dong, X Chen, W Jia, S Du, K Muhammad, SH Wang
Multimedia Tools and Applications 78, 3613-3632, 2019
Classification of Alzheimer’s disease based on eight-layer convolutional neural network with leaky rectified linear unit and max pooling
SH Wang, P Phillips, Y Sui, B Liu, M Yang, H Cheng
Journal of medical systems 42, 1-11, 2018
Fruit classification using computer vision and feedforward neural network
Y Zhang, S Wang, G Ji, P Phillips
Journal of Food Engineering 143, 167-177, 2014
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
SH Wang, VV Govindaraj, JM Górriz, X Zhang, YD Zhang
Information Fusion 67, 208-229, 2021
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation
YD Zhang, Z Dong, SH Wang, X Yu, X Yao, Q Zhou, H Hu, M Li, ...
Information Fusion 64, 149-187, 2020
Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning
Y Zhang, Z Dong, P Phillips, S Wang, G Ji, J Yang, TF Yuan
Frontiers in computational neuroscience 9, 66, 2015
Facial emotion recognition based on biorthogonal wavelet entropy, fuzzy support vector machine, and stratified cross validation
YD Zhang, ZJ Yang, HM Lu, XX Zhou, P Phillips, QM Liu, SH Wang
IEEE Access 4, 8375-8385, 2016
Improved breast cancer classification through combining graph convolutional network and convolutional neural network
YD Zhang, SC Satapathy, DS Guttery, JM Górriz, SH Wang
Information Processing & Management 58 (2), 102439, 2021
A review on extreme learning machine
J Wang, S Lu, SH Wang, YD Zhang
Multimedia Tools and Applications 81 (29), 41611-41660, 2022
Magnetic resonance brain image classification by an improved artificial bee colony algorithm
YD Zhang, L Wu, S Wang
Progress In Electromagnetics Research 116, 65-79, 2011
Classification of Alzheimer disease based on structural magnetic resonance imaging by kernel support vector machine decision tree
YD Zhang, S Wang, Z Dong
Progress In Electromagnetics Research 144, 171-184, 2014
COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis
SH Wang, DR Nayak, DS Guttery, X Zhang, YD Zhang
Information Fusion 68, 131-148, 2021
DenseNet-201-based deep neural network with composite learning factor and precomputation for multiple sclerosis classification
SH Wang, YD Zhang
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2020
Preclinical diagnosis of magnetic resonance (MR) brain images via discrete wavelet packet transform with Tsallis entropy and generalized eigenvalue proximal support vector …
Y Zhang, Z Dong, S Wang, G Ji, J Yang
Entropy 17 (4), 1795-1813, 2015
Feed‐forward neural network optimized by hybridization of PSO and ABC for abnormal brain detection
S Wang, Y Zhang, Z Dong, S Du, G Ji, J Yan, J Yang, Q Wang, C Feng, ...
International Journal of Imaging Systems and Technology 25 (2), 153-164, 2015
A fast fractal based compression for MRI images
S Liu, W Bai, N Zeng, S Wang
Ieee Access 7, 62412-62420, 2019
A review of deep learning on medical image analysis
J Wang, H Zhu, SH Wang, YD Zhang
Mobile Networks and Applications 26 (1), 351-380, 2021
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