Special Issue: Capsule Networks and Imaging Science (CNIS)
Canonical Correlation Analysis Based Hyper Basis Feedforward Neural Network Classification for Urban Sustainability
Introducing the Visual Imaging Feature to the Text Analysis: High Efficient Soft Computing Models with Bayesian Network
Urban Landscape Ecological Design and Stereo Vision Based on 3D Mesh Simplification Algorithm and Artificial Intelligence
Burn Image Recognition of Medical Images Based on Deep Learning: From CNNs to Advanced Networks
VR Design of Public Facilities in Historical Blocks Based on BP Neural Network
An Efficient Mammogram Image Retrieval System Using an Optimized Classifier
Intelligent Crime Prevention and Control Big Data Analysis System Based on Imaging and Capsule Network Model
A City Monitoring System Based on Real-Time Communication Interaction Module and Intelligent Visual Information Collection System
Brain Tumor Segmentation Using Deep Learning and Fuzzy K-Means Clustering for Magnetic Resonance Images
Multimedia Imaging Model of Information System Based on Self-Organizing Capsule Neural Network and Game Theory
Fault Diagnosis of Fuel System Based on Improved Extreme Learning Machine
Cerebrum Tumor Segmentation of High Resolution Magnetic Resonance Images Using 2D-Convolutional Network with Skull Stripping
Application of Meta-learning Framework Based on Multiple-Capsule Intelligent Neural Systems in Image Classification
A Safe Semi-supervised Classification Algorithm Using Multiple Classifiers Ensemble
Lung Cancer Prediction Using Stochastic Diffusion Search (SDS) Based Feature Selection and Machine Learning Methods
The Kuramoto Model: The Stability Conditions in the Presence of Phase Shift
Classification of Alzheimer’s Disease Using Deep Convolutional Spiking Neural Network
DDV: A Taxonomy for Deep Learning Methods in Detecting Prostate Cancer
Numerical Solution of Fractional Order Advection Reaction Diffusion Equation with Fibonacci Neural Network
Spatio-Temporal Learning for Video Deblurring based on Two-Stream Generative Adversarial Network
CloudU-Netv2: A Cloud Segmentation Method for Ground-Based Cloud Images Based on Deep Learning
Adaptive Synchronization Control and Parameters Identification for Chaotic Fractional Neural Networks with Time-Varying Delays
Multi-object Tracking Method Based on Efficient Channel Attention and Switchable Atrous Convolution
Application of Coupled LDA–KPCA and BO–MKRVM Model to Predict Coal and Gas Outbursts
An Effective Principal Singular Triplets Extracting Neural Network Algorithm
Boundary Adjusted Network Based on Cosine Similarity for Temporal Action Proposal Generation
An Energy-Aware Trust and Opportunity Based Routing Algorithm in Wireless Sensor Networks Using Multipath Routes Technique
Attention Refined Network for Human Pose Estimation
A Hybrid Multi-gene Genetic Programming with Capuchin Search Algorithm for Modeling a Nonlinear Challenge Problem: Modeling Industrial Winding Process, Case Study
Deep Learning with ConvNet Predicts Imagery Tasks Through EEG
Why Does Regularization Help with Mitigating Poisoning Attacks?
A Robust Segmentation Method Based on Improved U-Net
Finite-Time Synchronization for a Coupled Fuzzy Neutral-Type Rayleigh System
Grading of Knee Osteoarthritis Using Convolutional Neural Networks
Research on Robot Motion Planning Based on RRT Algorithm with Nonholonomic Constraints
Event-Based Projective Synchronization for Different Dimensional Complex Dynamical Networks with Unknown Dynamics by Using Data-Driven Scheme
