International Journal of Intelligent Systems

Predicting Potential Risk: Cerebral Stroke via Regret Minimization

Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment

Design of Adaptive Periodic Event-Triggered Mechanism-Based EID with MRC Based on PSO Algorithm for T-S Fuzzy Systems

Certificateless Public Auditing for Cloud-Based Medical Data in Healthcare Industry 4.0

An Efficient Dynamic Programming Algorithm for Finding Group Steiner Trees in Temporal Graphs

A Hybrid Deep Learning Prediction Method of Remaining Useful Life for Rolling Bearings Using Multiscale Stacking Deep Residual Shrinkage Network

Efficient Privacy-Preserving Federated Deep Learning for Network Intrusion of Industrial IoT

Application of Deep Neural Network with Frequency Domain Filtering in the Field of Intrusion Detection

Enhancing Fairness in Federated Learning: A Contribution-Based Differentiated Model Approach

News Classification and Categorization with Smart Function Sentiment Analysis

Semisupervised Deep Features of Time-Frequency Maps for Multimodal Emotion Recognition

Uniformity-Comprehensive Multiobjective Optimization Evolutionary Algorithm Based on Machine Learning

Improving the Landslide Susceptibility Prediction Accuracy by Using Genetic Algorithm Optimized Machine Learning Approach

An Automatic Privacy-Aware Framework for Text Data in Online Social Network Based on a Multi-Deep Learning Model

Hybrid Time-Series Prediction Method Based on Entropy Fusion Feature

International Journal of Intelligent Systems

Table of Contents

Table of Contents

Predicting Potential Risk: Cerebral Stroke via Regret Minimization

Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment

Design of Adaptive Periodic Event-Triggered Mechanism-Based EID with MRC Based on PSO Algorithm for T-S Fuzzy Systems

Certificateless Public Auditing for Cloud-Based Medical Data in Healthcare Industry 4.0

An Efficient Dynamic Programming Algorithm for Finding Group Steiner Trees in Temporal Graphs

A Hybrid Deep Learning Prediction Method of Remaining Useful Life for Rolling Bearings Using Multiscale Stacking Deep Residual Shrinkage Network

Efficient Privacy-Preserving Federated Deep Learning for Network Intrusion of Industrial IoT

Application of Deep Neural Network with Frequency Domain Filtering in the Field of Intrusion Detection

Enhancing Fairness in Federated Learning: A Contribution-Based Differentiated Model Approach

News Classification and Categorization with Smart Function Sentiment Analysis

Semisupervised Deep Features of Time-Frequency Maps for Multimodal Emotion Recognition

Uniformity-Comprehensive Multiobjective Optimization Evolutionary Algorithm Based on Machine Learning

Improving the Landslide Susceptibility Prediction Accuracy by Using Genetic Algorithm Optimized Machine Learning Approach

An Automatic Privacy-Aware Framework for Text Data in Online Social Network Based on a Multi-Deep Learning Model

Hybrid Time-Series Prediction Method Based on Entropy Fusion Feature