Yu-Dong Zhang
Yu-Dong Zhang
University of Leicester, FIET/FEAI/FBCS/SMIEEE/SMACM/DSACM, Clarivate Highly Cited Researcher
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Cited by
Cited by
A comprehensive survey on particle swarm optimization algorithm and its applications
Y Zhang, S Wang, G Ji
Mathematical Problems in Engineering 2015, 2015
Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network
Y Zhang, L Wu
Expert systems with applications 36 (5), 8849-8854, 2009
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
An Mr Brain Images Classifier via Principal Component Analysis and Kernel Support Vector Machine
Y Zhang, L Wu
Progress In Electromagnetics Research 130, 369-388, 2012
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 (3), 3613-3632, 2019
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
Classification of fruits using computer vision and a multiclass support vector machine
Y Zhang, L Wu
sensors 12 (9), 12489-12505, 2012
Optimal Multi-Level Thresholding Based on Maximum Tsallis Entropy via an Artificial Bee Colony Approach
Y Zhang, L Wu
Entropy 13 (4), 841-859, 2011
Introduction of key problems in long-distance learning and training
S Liu, Z Li, Y Zhang, X Cheng
Mobile Networks and Applications 24 (1), 1-4, 2019
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
Magnetic Resonance Brain Image Classification by an Improved Artificial Bee Colony Algorithm
Y Zhang, L Wu, S Wang
Progress In Electromagnetics Research 116, 65-79, 2011
Pathological brain detection based on AlexNet and transfer learning
S Lu, Z Lu, YD Zhang
Journal of computational science 30, 41-47, 2019
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
Classification of Alzheimer Disease Based on Structural Magnetic Resonance Imaging by Kernel Support Vector Machine Decision Tree
Y Zhang, S Wang, Z Dong
Progress In Electromagnetics Research 144, 171-184, 2014
Deep-learning framework to detect lung abnormality–A study with chest X-Ray and lung CT scan images
A Bhandary, GA Prabhu, V Rajinikanth, KP Thanaraj, SC Satapathy, ...
Pattern Recognition Letters 129, 271-278, 2020
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
Automated classification of brain images using wavelet-energy and biogeography-based optimization
G Yang, Y Zhang, J Yang, G Ji, Z Dong, S Wang, C Feng, Q Wang
Multimedia Tools and Applications 75 (23), 15601-15617, 2016
Comparison of machine learning methods for stationary wavelet entropy-based multiple sclerosis detection: decision tree, k-nearest neighbors, and support vector machine
Y Zhang, S Lu, X Zhou, M Yang, L Wu, B Liu, P Phillips, S Wang
Simulation 92 (9), 861-871, 2016
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