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 | 1295 | 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 | 585 | 2009 |
A Review of Deep-Learning-Based Medical Image Segmentation Methods X Liu, L Song, S Liu, Y Zhang Sustainability 13 (3), 1224, 2021 | 538 | 2021 |
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 | 480 | 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 | 447 | 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 (3), 3613-3632, 2019 | 405 | 2019 |
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 | 394 | 2020 |
Pathological brain detection based on AlexNet and transfer learning S Lu, Z Lu, YD Zhang Journal of computational science 30, 41-47, 2019 | 391 | 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 | 358 | 2014 |
Classification of fruits using computer vision and a multiclass support vector machine Y Zhang, L Wu sensors 12 (9), 12489-12505, 2012 | 350 | 2012 |
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 | 347 | 2021 |
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 | 346 | 2012 |
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 | 335 | 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 | 324 | 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 | 305 | 2016 |
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 | 292 | 2011 |
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 | 289 | 2021 |
A review on extreme learning machine J Wang, S Lu, SH Wang, YD Zhang Multimedia Tools and Applications 81, 41611-41660, 2022 | 288 | 2022 |
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 | 286 | 2019 |
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 | 263 | 2011 |