Editorial Board
BSM-ether: Bribery selfish mining in blockchain-based healthcare systems
Knowledge discovery and updating under the evolution of network formal contexts based on three-way decision
Improved synchronization and extended dissipativity analysis for delayed neural networks with the sampled-data control
Detecting deepfake videos based on spatiotemporal attention and convolutional LSTM
Best-in-class imitation: Non-negative positive-unlabeled imitation learning from imperfect demonstrations
How to build high quality L2R training data: Unsupervised compression-based selective sampling for learning to rank
Multi-objective model predictive control with gradient eigenvector algorithm
A GAN framework-based dynamic multi-graph convolutional network for origin–destination-based ride-hailing demand prediction
Robustness evaluation for deep neural networks via mutation decision boundaries analysis
A novel approach based on adaptive online analysis of encrypted traffic for identifying Malware in IIoT
Analysis of evolutionary process in intuitionistic fuzzy set theory: A dynamic perspective
Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems
Automatically detecting groups using locality-sensitive hashing in group recommendations
A group behavior prediction model based on sparse representation and complex message interactions
Improved recommender systems by denoising ratings in highly sparse datasets through individual rating confidence
Similarity-based integrity protection for deep learning systems
A tensor-based unified approach for clustering coefficients in financial multiplex networks
A unified incremental updating framework of attribute reduction for two-dimensionally time-evolving data
Group decision making based on advanced intuitionistic fuzzy weighted Heronian mean aggregation operator of intuitionistic fuzzy values
Stochastic configuration networks for multi-dimensional integral evaluation
Group decision making based on multiplicative consistency and consensus of Pythagorean fuzzy preference relations
DyAdvDefender: An instance-based online machine learning model for perturbation-trial-based black-box adversarial defense
Development, experimental validation, and comparison of interval type-2 Mamdani fuzzy PID controllers with different footprints of uncertainty