Shuihua Wang

Orcid: 0000-0003-4713-2791

Affiliations:
  • Loughborough University, School of Architecture, Building and Civil Engineering, UK
  • Nanjing University, China (PhD 2017)
  • City University of New York, NY, USA (former)
  • Southeast University, Nanjing, China (former)


According to our database1, Shuihua Wang authored at least 241 papers between 2009 and 2024.

Collaborative distances:

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Bibliography

2024
EAYv3-CF$C^{3}$: Ensemble Learning With Attention-Based Yv3 Combined With CF$C^{3}$ Loss for Obscenity Detection.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

RanMerFormer: Randomized vision transformer with token merging for brain tumor classification.
Neurocomputing, March, 2024

A review of IoT applications in healthcare.
Neurocomputing, January, 2024

DBTN: An adaptive neural network for multiple-disease detection via imbalanced medical images distribution.
Appl. Intell., 2024

Abscissa-Ordinate Focused Network for Psoriasis and Eczema Healthcare Cyber-Physical System With Active Label Smoothing.
IEEE Access, 2024

2023
Multi-strategy enhanced kernel search optimization and its application in economic emission dispatch problems.
J. Comput. Des. Eng., December, 2023

Deep learning in pediatric neuroimaging.
Displays, December, 2023

MEEDNets: Medical Image Classification via Ensemble Bio-inspired Evolutionary DenseNets.
Knowl. Based Syst., November, 2023

Internet of medical things: A systematic review.
Neurocomputing, November, 2023

An Enhanced RIME Optimizer with Horizontal and Vertical Crossover for Discriminating Microseismic and Blasting Signals in Deep Mines.
Sensors, October, 2023

Multiple-instance ensemble for construction of deep heterogeneous committees for high-dimensional low-sample-size data.
Neural Networks, October, 2023

CGUFS: A clustering-guided unsupervised feature selection algorithm for gene expression data.
J. King Saud Univ. Comput. Inf. Sci., October, 2023

A review of deep learning in dentistry.
Neurocomputing, October, 2023

Face Super-Resolution via Joint Edge Information and Attention Aggregation Network.
Comput. Electr. Eng., October, 2023

SSRNet: A Deep Learning Network via Spatial-Based Super-resolution Reconstruction for Cell Counting and Segmentation.
Adv. Intell. Syst., October, 2023

Weakly supervised machine learning.
CAAI Trans. Intell. Technol., September, 2023

A unified end-to-end classification model for focal liver lesions.
Biomed. Signal Process. Control., September, 2023

A Secure Face Recognition for IoT-enabled Healthcare System.
ACM Trans. Sens. Networks, August, 2023

GLFANet: A global to local feature aggregation network for EEG emotion recognition.
Biomed. Signal Process. Control., August, 2023

Synergistic Integration of Skeletal Kinematic Features for Vision-Based Fall Detection.
Sensors, July, 2023

CsAGP: Detecting Alzheimer's disease from multimodal images via dual-transformer with cross-attention and graph pooling.
J. King Saud Univ. Comput. Inf. Sci., July, 2023

CovC-ReDRNet: A Deep Learning Model for COVID-19 Classification.
Mach. Learn. Knowl. Extr., June, 2023

CTMLP: Can MLPs replace CNNs or transformers for COVID-19 diagnosis?
Comput. Biol. Medicine, June, 2023

Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review.
Comput. Biol. Medicine, June, 2023

DSGA-Net: Deeply separable gated transformer and attention strategy for medical image segmentation network.
J. King Saud Univ. Comput. Inf. Sci., May, 2023

Multi-Modal Non-Euclidean Brain Network Analysis With Community Detection and Convolutional Autoencoder.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

A Multi-Directional Pixel-Swapping Approach (MPSA) for Entropy-Retained Reversible Data Hiding in Encrypted Images.
Entropy, April, 2023

Artificial intelligence for visually impaired.
Displays, April, 2023

A Survey of Deep Learning for Alzheimer's Disease.
Mach. Learn. Knowl. Extr., March, 2023

An Evolutionary Attention-Based Network for Medical Image Classification.
Int. J. Neural Syst., March, 2023

MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images.
Entropy, March, 2023

AdaD-FNN for Chest CT-Based COVID-19 Diagnosis.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer's Disease Analysis.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

GAM-SpCaNet: Gradient awareness minimization-based spinal convolution attention network for brain tumor classification.
J. King Saud Univ. Comput. Inf. Sci., February, 2023

Multiple-level thresholding for breast mass detection.
J. King Saud Univ. Comput. Inf. Sci., January, 2023

A Survey on Deep Learning in COVID-19 Diagnosis.
J. Imaging, January, 2023

Tuberculosis Diagnosis Using Deep Transferred EfficientNet.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Deep Learning and Vision Transformer for Medical Image Analysis.
J. Imaging, 2023

Diagnosis of cerebral microbleed via VGG and extreme learning machine trained by Gaussian map bat algorithm.
J. Ambient Intell. Humaniz. Comput., 2023

Novel multi-view Takagi-Sugeno-Kang fuzzy system for epilepsy EEG detection.
J. Ambient Intell. Humaniz. Comput., 2023

Structured analysis dictionary learning based on discriminative Fisher pair.
J. Ambient Intell. Humaniz. Comput., 2023

Module partitioning for multilayer brain functional network using weighted clustering ensemble.
J. Ambient Intell. Humaniz. Comput., 2023

Extraction and analysis of brain functional statuses for early mild cognitive impairment using variational auto-encoder.
J. Ambient Intell. Humaniz. Comput., 2023

Diffusion tensor imaging denoising based on Riemann nonlocal similarity.
J. Ambient Intell. Humaniz. Comput., 2023

Deep learning in food category recognition.
Inf. Fusion, 2023

Contextual information extraction in brain tumour segmentation.
IET Image Process., 2023

DLSANet: Facial expression recognition with double-code LBP-layer spatial-attention network.
IET Image Process., 2023

SNELM: SqueezeNet-Guided ELM for COVID-19 Recognition.
Comput. Syst. Sci. Eng., 2023

WACPN: A Neural Network for Pneumonia Diagnosis.
Comput. Syst. Sci. Eng., 2023

EAFP-Med: An Efficient Adaptive Feature Processing Module Based on Prompts for Medical Image Detection.
CoRR, 2023

Review of AlexNet for Medical Image Classification.
CoRR, 2023

TBDLNet: a network for classifying multidrug-resistant and drug-sensitive tuberculosis.
CoRR, 2023

MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis.
CoRR, 2023

DLBCNet: A Deep Learning Network for Classifying Blood Cells.
Big Data Cogn. Comput., 2023

2022
Dynamic Transfer Exemplar based Facial Emotion Recognition Model Toward Online Video.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Enhanced Feature Alignment for Unsupervised Domain Adaptation of Semantic Segmentation.
IEEE Trans. Multim., 2022

DSSAE: Deep Stacked Sparse Autoencoder Analytical Model for COVID-19 Diagnosis by Fractional Fourier Entropy.
ACM Trans. Manag. Inf. Syst., 2022

Guest Editorial Emerging Challenges for Deep Learning.
IEEE J. Biomed. Health Informatics, 2022

ODET: Optimized Deep ELM-based Transfer Learning for Breast Cancer Explainable Detection.
EAI Endorsed Trans. Scalable Inf. Syst., 2022

A comprehensive survey on convolutional neural network in medical image analysis.
Multim. Tools Appl., 2022

A review on extreme learning machine.
Multim. Tools Appl., 2022

CMB-net: a deep convolutional neural network for diagnosis of cerebral microbleeds.
Multim. Tools Appl., 2022

ELMGAN: A GAN-based efficient lightweight multi-scale-feature-fusion multi-task model.
Knowl. Based Syst., 2022

Modern Forms and New Challenges in Medical Sensors and Body Area Networks.
J. Sens. Actuator Networks, 2022

Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture.
J. Comput. Sci. Technol., 2022

Transfer learning for medical images analyses: A survey.
Neurocomputing, 2022

Applicable artificial intelligence for brain disease: A survey.
Neurocomputing, 2022

A systematic survey of deep learning in breast cancer.
Int. J. Intell. Syst., 2022

NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network.
Int. J. Intell. Syst., 2022

Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder.
J. Grid Comput., 2022

Editorial: Advanced Deep Learning Methods for Biomedical Information Analysis (ADLMBIA).
Frontiers Big Data, 2022

Fruit category classification by fractional Fourier entropy with rotation angle vector grid and stacked sparse autoencoder.
Expert Syst. J. Knowl. Eng., 2022

Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence.
CoRR, 2022

An efficient medical image super resolution based on piecewise linear regression strategy using domain transform filtering.
Concurr. Comput. Pract. Exp., 2022

WVALE: Weak variational autoencoder for localisation and enhancement of COVID-19 lung infections.
Comput. Methods Programs Biomed., 2022

TBNet: a context-aware graph network for tuberculosis diagnosis.
Comput. Methods Programs Biomed., 2022

HAREDNet: A deep learning based architecture for autonomous video surveillance by recognizing human actions.
Comput. Electr. Eng., 2022

NSCGCN: A novel deep GCN model to diagnosis COVID-19.
Comput. Biol. Medicine, 2022

TSRNet: Diagnosis of COVID-19 based on self-supervised learning and hybrid ensemble model.
Comput. Biol. Medicine, 2022

SAFNet: A deep spatial attention network with classifier fusion for breast cancer detection.
Comput. Biol. Medicine, 2022

Agnostic multimodal brain anomalies detection using a novel single-structured framework for better patient diagnosis and therapeutic planning in clinical oncology.
Biomed. Signal Process. Control., 2022

Attention deficit/hyperactivity disorder Classification based on deep spatio-temporal features of functional Magnetic Resonance Imaging.
Biomed. Signal Process. Control., 2022

ConvNet-CA: A Lightweight Attention-Based CNN for Brain Disease Detection.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

RDNet: ResNet-18 with Dropout for Blood Cell Classification.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Covid-19 Detection by Wavelet Entropy and Self-adaptive PSO.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Enhancing Stochastic Resonance by Adaptive Colored Noise and Particle Swarm Optimization: An Application to Steering Control.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

2021
SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot Recognition.
Wirel. Commun. Mob. Comput., 2021

WTRPNet: An Explainable Graph Feature Convolutional Neural Network for Epileptic EEG Classification.
ACM Trans. Multim. Comput. Commun. Appl., 2021

An Explainable Framework for Diagnosis of COVID-19 Pneumonia via Transfer Learning and Discriminant Correlation Analysis.
ACM Trans. Multim. Comput. Commun. Appl., 2021

When Visual Disparity Generation Meets Semantic Segmentation: A Mutual Encouragement Approach.
IEEE Trans. Intell. Transp. Syst., 2021

A Heuristic Neural Network Structure Relying on Fuzzy Logic for Images Scoring.
IEEE Trans. Fuzzy Syst., 2021

Mixing Patterns in Social Trust Networks: A Social Identity Theory Perspective.
IEEE Trans. Comput. Soc. Syst., 2021

Guest Editorial: Transfer Learning Methods Used in Medical Imaging and Health Informatics.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Subject-Independent Emotion Recognition of EEG Signals Based on Dynamic Empirical Convolutional Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray.
Pattern Recognit. Lett., 2021

Detection of abnormal brain in MRI via improved AlexNet and ELM optimized by chaotic bat algorithm.
Neural Comput. Appl., 2021

Sensorineural hearing loss classification via deep-HLNet and few-shot learning.
Multim. Tools Appl., 2021

Synthesizing Multi-Contrast MR Images Via Novel 3D Conditional Variational Auto-Encoding GAN.
Mob. Networks Appl., 2021

A Review of Deep Learning on Medical Image Analysis.
Mob. Networks Appl., 2021

MFBCNNC: Momentum factor biogeography convolutional neural network for COVID-19 detection via chest X-ray images.
Knowl. Based Syst., 2021

Clinical and CT Manifestations of 56 COVID-19 Patients.
J. Medical Imaging Health Informatics, 2021

Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network.
Inf. Process. Manag., 2021

CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia.
Inf. Process. Manag., 2021

Alzheimer's disease multiclass diagnosis via multimodal neuroimaging embedding feature selection and fusion.
Inf. Fusion, 2021

COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis.
Inf. Fusion, 2021

Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network.
Inf. Fusion, 2021

Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects.
Inf. Fusion, 2021

Heterogeneous data fusion for predicting mild cognitive impairment conversion.
Inf. Fusion, 2021

ResGNet-C: A graph convolutional neural network for detection of COVID-19.
Neurocomputing, 2021

TReC: Transferred ResNet and CBAM for Detecting Brain Diseases.
Frontiers Neuroinformatics, 2021

Introduction to the special section on data preprocessing for big biomedical data in deep learning models (VSI-dpbd).
Comput. Electr. Eng., 2021

A cerebral microbleed diagnosis method via FeatureNet and ensembled randomized neural networks.
Appl. Soft Comput., 2021

IEEE Access Special Section Editorial: Emerging Deep Learning Theories and Methods for Biomedical Engineering.
IEEE Access, 2021

2020
DenseNet-201-Based Deep Neural Network with Composite Learning Factor and Precomputation for Multiple Sclerosis Classification.
ACM Trans. Multim. Comput. Commun. Appl., 2020

Fingerspelling Identification for Chinese Sign Language via AlexNet-Based Transfer Learning and Adam Optimizer.
Sci. Program., 2020

A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system.
Pattern Recognit. Lett., 2020

A classification method for brain MRI via MobileNet and feedforward network with random weights.
Pattern Recognit. Lett., 2020

The classification of gliomas based on a Pyramid dilated convolution resnet model.
Pattern Recognit. Lett., 2020

Three-dimensional reconstruction of CT image features based on multi-threaded deep learning calculation.
Pattern Recognit. Lett., 2020

Discriminative margin-sensitive autoencoder for collective multi-view disease analysis.
Neural Networks, 2020

Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data.
Neural Networks, 2020

Hearing loss detection by discrete wavelet transform and multi-layer perceptron trained by nature-inspired algorithms.
Multim. Tools Appl., 2020

Sensorineural hearing loss identification via nine-layer convolutional neural network with batch normalization and dropout.
Multim. Tools Appl., 2020

Fruit category classification via an eight-layer convolutional neural network with parametric rectified linear unit and dropout technique.
Multim. Tools Appl., 2020

Rich club characteristics of dynamic brain functional networks in resting state.
Multim. Tools Appl., 2020

Module dividing for brain functional networks by employing betweenness efficiency.
Multim. Tools Appl., 2020

An eight-layer convolutional neural network with stochastic pooling, batch normalization and dropout for fingerspelling recognition of Chinese sign language.
Multim. Tools Appl., 2020

Classification of cerebral microbleeds based on fully-optimized convolutional neural network.
Multim. Tools Appl., 2020

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation.
Inf. Fusion, 2020

Gingivitis identification via multichannel gray-level co-occurrence matrix and particle swarm optimization neural network.
Int. J. Imaging Syst. Technol., 2020

Diagnosis of COVID-19 by Wavelet Renyi Entropy and Three-Segment Biogeography-Based Optimization.
Int. J. Comput. Intell. Syst., 2020

Cerebral micro-bleeding identification based on a nine-layer convolutional neural network with stochastic pooling.
Concurr. Comput. Pract. Exp., 2020

U-net Based Method for Automatic Hard Exudates Segmentation in Fundus Images Using Inception Module and Residual Connection.
IEEE Access, 2020

IEEE Access Special Section Editorial: Deep Learning for Computer-Aided Medical Diagnosis.
IEEE Access, 2020

Glomerulus Classification via an Improved GoogLeNet.
IEEE Access, 2020

StomachNet: Optimal Deep Learning Features Fusion for Stomach Abnormalities Classification.
IEEE Access, 2020

Application of Deep Learning Algorithm in Feature Mining and Rapid Identification of Colorectal Image.
IEEE Access, 2020

Fully Optimized Convolutional Neural Network Based on Small-Scale Crowd.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Myocardial Infarction Detection and Quantification Based on a Convolution Neural Network with Online Error Correction Capabilities.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Detection of COVID-19 by GoogLeNet-COD.
Proceedings of the Intelligent Computing Theories and Application, 2020

2019
Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation.
Multim. Tools Appl., 2019

Five-category classification of pathological brain images based on deep stacked sparse autoencoder.
Multim. Tools Appl., 2019

Teeth category classification via seven-layer deep convolutional neural network with max pooling and global average pooling.
Int. J. Imaging Syst. Technol., 2019

A gingivitis identification method based on contrast-limited adaptive histogram equalization, gray-level co-occurrence matrix, and extreme learning machine.
Int. J. Imaging Syst. Technol., 2019

Unilateral sensorineural hearing loss identification based on double-density dual-tree complex wavelet transform and multinomial logistic regression.
Integr. Comput. Aided Eng., 2019

Abnormality Diagnosis in Mammograms by Transfer Learning Based on ResNet18.
Fundam. Informaticae, 2019

Improvement of Cerebral Microbleeds Detection Based on Discriminative Feature Learning.
Fundam. Informaticae, 2019

A General Common Spatial Patterns for EEG Analysis With Applications to Vigilance Detection.
IEEE Access, 2019

Liver Semantic Segmentation Algorithm Based on Improved Deep Adversarial Networks in Combination of Weighted Loss Function on Abdominal CT Images.
IEEE Access, 2019

A Channel Calibration Algorithm Based on Isolated Scatterers for Multi-Channel HRWS-SAR.
IEEE Access, 2019

A Fast Fractal Based Compression for MRI Images.
IEEE Access, 2019

Multi-Scale Feature Combination of Brain Functional Network for eMCI Classification.
IEEE Access, 2019

Towards Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Voxelwise detection of cerebral microbleed in CADASIL patients by leaky rectified linear unit and early stopping.
Multim. Tools Appl., 2018

Seven-layer deep neural network based on sparse autoencoder for voxelwise detection of cerebral microbleed.
Multim. Tools Appl., 2018

Tea category identification based on optimal wavelet entropy and weighted k-Nearest Neighbors algorithm.
Multim. Tools Appl., 2018

Application of stationary wavelet entropy in pathological brain detection.
Multim. Tools Appl., 2018

Single slice based detection for Alzheimer's disease via wavelet entropy and multilayer perceptron trained by biogeography-based optimization.
Multim. Tools Appl., 2018

A pathological brain detection system based on kernel based ELM.
Multim. Tools Appl., 2018

Wavelet energy entropy and linear regression classifier for detecting abnormal breasts.
Multim. Tools Appl., 2018

Sensorineural hearing loss detection via discrete wavelet transform and principal component analysis combined with generalized eigenvalue proximal support vector machine and Tikhonov regularization.
Multim. Tools Appl., 2018

Polarimetric synthetic aperture radar image segmentation by convolutional neural network using graphical processing units.
J. Real Time Image Process., 2018

A path planning method using adaptive polymorphic ant colony algorithm for smart wheelchairs.
J. Comput. Sci., 2018

Classification of Alzheimer's Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling.
J. Medical Syst., 2018

Alcoholism Detection by Data Augmentation and Convolutional Neural Network with Stochastic Pooling.
J. Medical Syst., 2018

Author Correction: Three-Category Classification of Magnetic Resonance Hearing Loss Images Based on Deep Autoencoder.
J. Medical Syst., 2018

Intelligent facial emotion recognition based on stationary wavelet entropy and Jaya algorithm.
Neurocomputing, 2018

Multiple Sclerosis Identification Based on Fractional Fourier Entropy and a Modified Jaya Algorithm.
Entropy, 2018

Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm.
Complex., 2018

Combining extreme learning machine with modified sine cosine algorithm for detection of pathological brain.
Comput. Electr. Eng., 2018

Hub recognition for brain functional networks by using multiple-feature combination.
Comput. Electr. Eng., 2018

Ensemble-classifiers-assisted detection of cerebral microbleeds in brain MRI.
Comput. Electr. Eng., 2018

Pathological Brain Detection
Springer, ISBN: 978-981-10-4025-2, 2018

2017
Three-Category Classification of Magnetic Resonance Hearing Loss Images Based on Deep Autoencoder.
J. Medical Syst., 2017

Pathological brain detection in MRI scanning via Hu moment invariants and machine learning.
J. Exp. Theor. Artif. Intell., 2017

A Comprehensive Survey on Fractional Fourier Transform.
Fundam. Informaticae, 2017

Texture Analysis Method Based on Fractional Fourier Entropy and Fitness-scaling Adaptive Genetic Algorithm for Detecting Left-sided and Right-sided Sensorineural Hearing Loss.
Fundam. Informaticae, 2017

Abnormal Breast Detection in Mammogram Images by Feed-forward Neural Network Trained by Jaya Algorithm.
Fundam. Informaticae, 2017

Tea Category Identification using Computer Vision and Generalized Eigenvalue Proximal SVM.
Fundam. Informaticae, 2017

Pathological Brain Detection via Wavelet Packet Tsallis Entropy and Real-Coded Biogeography-based Optimization.
Fundam. Informaticae, 2017

On the Critical Strip of the Riemann zeta Fractional Derivative.
Fundam. Informaticae, 2017

Entropy Analysis of Short-Term Heartbeat Interval Time Series during Regular Walking.
Entropy, 2017

A note on the marker-based watershed method for X-ray image segmentation.
Comput. Methods Programs Biomed., 2017

Alcoholism detection by medical robots based on Hu moment invariants and predator-prey adaptive-inertia chaotic particle swarm optimization.
Comput. Electr. Eng., 2017

Cerebral Micro-Bleed Detection Based on the Convolution Neural Network With Rank Based Average Pooling.
IEEE Access, 2017

Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM.
IEEE Access, 2017

Ford Motor Side-View Recognition System Based on Wavelet Entropy and Back Propagation Neural Network and Levenberg-Marquardt Algorithm.
Proceedings of the Parallel Architecture, Algorithm and Programming, 2017

Preliminary Study on Unilateral Sensorineural Hearing Loss Identification via Dual-Tree Complex Wavelet Transform and Multinomial Logistic Regression.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017

Hearing Loss Detection in Medical Multimedia Data by Discrete Wavelet Packet Entropy and Single-Hidden Layer Neural Network Trained by Adaptive Learning-Rate Back Propagation.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Facial Emotion Recognition via Discrete Wavelet Transform, Principal Component Analysis, and Cat Swarm Optimization.
Proceedings of the Intelligence Science and Big Data Engineering, 2017

Ford Motorcar Identification from Single-Camera Side-View Image Based on Convolutional Neural Network.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Flower classification based on single petal image and machine learning methods.
Proceedings of the 13th International Conference on Natural Computation, 2017

Leaf Recognition for Plant Classification Based on Wavelet Entropy and Back Propagation Neural Network.
Proceedings of the Intelligent Robotics and Applications - 10th International Conference, 2017

2016
Combination of stationary wavelet transform and kernel support vector machines for pathological brain detection.
Simul., 2016

Smart detection on abnormal breasts in digital mammography based on contrast-limited adaptive histogram equalization and chaotic adaptive real-coded biogeography-based optimization.
Simul., 2016

Comparison of machine learning methods for stationary wavelet entropy-based multiple sclerosis detection: decision tree, <i>k</i>-nearest neighbors, and support vector machine.
Simul., 2016

Multi-objective path finding in stochastic networks using a biogeography-based optimization method.
Simul., 2016

Fitness-scaling adaptive genetic algorithm with local search for solving the Multiple Depot Vehicle Routing Problem.
Simul., 2016

Automated classification of brain images using wavelet-energy and biogeography-based optimization.
Multim. Tools Appl., 2016

A Multilayer Perceptron Based Smart Pathological Brain Detection System by Fractional Fourier Entropy.
J. Medical Syst., 2016

A note on the weight of inverse complexity in improved hybrid genetic algorithm.
J. Medical Syst., 2016

Wavelet Entropy and Directed Acyclic Graph Support Vector Machine for Detection of Patients with Unilateral Hearing Loss in MRI Scanning.
Frontiers Comput. Neurosci., 2016

Fruit classification by biogeography-based optimization and feedforward neural network.
Expert Syst. J. Knowl. Eng., 2016

Tea Category Identification Using a Novel Fractional Fourier Entropy and Jaya Algorithm.
Entropy, 2016

Detection of Left-Sided and Right-Sided Hearing Loss via Fractional Fourier Transform.
Entropy, 2016

Facial Emotion Recognition Based on Biorthogonal Wavelet Entropy, Fuzzy Support Vector Machine, and Stratified Cross Validation.
IEEE Access, 2016

Fractal Dimension Estimation for Developing Pathological Brain Detection System Based on Minkowski-Bouligand Method.
IEEE Access, 2016

Multiple Sclerosis Detection Based on Biorthogonal Wavelet Transform, RBF Kernel Principal Component Analysis, and Logistic Regression.
IEEE Access, 2016

Fruit classification by HPA-SLFN.
Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016

Predict Two-Dimensional Protein Folding Based on Hydrophobic-Polar Lattice Model and Chaotic Clonal Genetic Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Sparse Autoencoder Based Deep Neural Network for Voxelwise Detection of Cerebral Microbleed.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

2015
Effect of spider-web-plot in MR brain image classification.
Pattern Recognit. Lett., 2015

Exponential Wavelet Iterative Shrinkage Thresholding Algorithm for compressed sensing magnetic resonance imaging.
Inf. Sci., 2015

Magnetic resonance brain image classification based on weighted-type fractional Fourier transform and nonparallel support vector machine.
Int. J. Imaging Syst. Technol., 2015

Feed-forward neural network optimized by hybridization of PSO and ABC for abnormal brain detection.
Int. J. Imaging Syst. Technol., 2015

Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning.
Frontiers Comput. Neurosci., 2015

Preclinical Diagnosis of Magnetic Resonance (MR) Brain Images via Discrete Wavelet Packet Transform with Tsallis Entropy and Generalized Eigenvalue Proximal Support Vector Machine (GEPSVM).
Entropy, 2015

Pathological Brain Detection by a Novel Image Feature - Fractional Fourier Entropy.
Entropy, 2015

Fruit Classification by Wavelet-Entropy and Feedforward Neural Network Trained by Fitness-Scaled Chaotic ABC and Biogeography-Based Optimization.
Entropy, 2015

Identification of Green, Oolong and Black Teas in China via Wavelet Packet Entropy and Fuzzy Support Vector Machine.
Entropy, 2015

Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks.
Comput. Math. Methods Medicine, 2015

Detection of Alzheimer's disease and mild cognitive impairment based on structural volumetric MR images using 3D-DWT and WTA-KSVM trained by PSOTVAC.
Biomed. Signal Process. Control., 2015

Detection of Pathological Brain in MRI Scanning Based on Wavelet-Entropy and Naive Bayes Classifier.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

Preliminary Research on Combination of Exponential Wavelet and FISTA for CS-MRI.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

Cluster Analysis by Variance Ratio Criterion and Quantum-Behaved PSO.
Proceedings of the Cloud Computing and Security - First International Conference, 2015

Tea Category Classification Based on Feed-Forward Neural Network and Two-Dimensional Wavelet Entropy.
Proceedings of the High Performance Computing and Applications, 2015

A TS-PSO Based Artificial Neural Network for Short-Term Load Forecast.
Proceedings of the High Performance Computing and Applications, 2015

2014
Binary PSO with mutation operator for feature selection using decision tree applied to spam detection.
Knowl. Based Syst., 2014

RGB-D image-based detection of stairs, pedestrian crosswalks and traffic signs.
J. Vis. Commun. Image Represent., 2014

2013
Detecting signage and doors for blind navigation and wayfinding.
Netw. Model. Anal. Health Informatics Bioinform., 2013

2012
Fast mode selection for H.264 video coding standard based on motion region classification.
Multim. Tools Appl., 2012

Camera-Based Signage Detection and Recognition for Blind Persons.
Proceedings of the Computers Helping People with Special Needs, 2012

Detecting stairs and pedestrian crosswalks for the blind by RGBD camera.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2011
Multi-channel Diffusion Tensor Image Registration via adaptive chaotic PSO.
J. Comput., 2011

A hybrid method for MRI brain image classification.
Expert Syst. Appl., 2011

A novel algorithm for all pairs shortest path problem based on matrix multiplication and pulse coupled neural network.
Digit. Signal Process., 2011

Indoor signage detection based on saliency map and bipartite graph matching.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010
An Improved Image Fusion Algorithm Based on Wavelet Decomposition.
J. Convergence Inf. Technol., 2010

Color image enhancement based on HVS and PCNN.
Sci. China Inf. Sci., 2010

A novel hybrid genetic algorithm for global optimization.
Proceedings of the Sixth International Conference on Natural Computation, 2010

2009
Remote-Sensing Image Classification Based on an Improved Probabilistic Neural Network.
Sensors, 2009


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