Editorial Board
Spatiotemporal chaos in improved cross coupled map lattice and its application in a bit-level image encryption scheme
No-wait two-stage flowshop problem with multi-task flexibility of the first machine
Knee based multimodal multi-objective evolutionary algorithm for decision making
An adaptive decision making method with copula Bayesian network for location selection
An efficient approach to identify social disseminators for timely information diffusion
Prescribed performance based model-free adaptive sliding mode constrained control for a class of nonlinear systems
GraphLSHC: Towards large scale spectral hypergraph clustering
A shadowed set-based TODIM method and its application to large-scale group decision making
Learning robust affinity graph representation for multi-view clustering
Triple-based graph neural network for encoding event units in graph reasoning problems
A hybrid deep meta-ensemble networks with application in electric utility industry load forecasting
Synthetic Sample Generation for Label Distribution Learning
Ship-unloading scheduling optimization for a steel plant
Stability analysis of cyclic switched linear systems: An average cycle dwell time approach
Heterogeneous information fusion: Combination of multiple supervised and unsupervised classification methods based on belief functions
A novel fuzzy rough set model with fuzzy neighborhood operators
Particle filtering for a class of cyber-physical systems under Round-Robin protocol subject to randomly occurring deception attacks
A spatiotemporal hierarchical attention mechanism-based model for multi-step station-level crowd flow prediction
Mirco-earthquake source depth detection using machine learning techniques
Effective and efficient top-k query processing over incomplete data streams
Label constrained convolutional factor analysis for classification with limited training samples
Fault tolerant sampled-data H∞ control for networked control systems with probabilistic time-varying delay
Learning smooth representations with generalized softmax for unsupervised domain adaptation
A novel ensemble deep learning model with dynamic error correction and multi-objective ensemble pruning for time series forecasting
An intelligent tutoring system for supporting active learning: A case study on predictive parsing learning
FAPS: A fair, autonomous and privacy-preserving scheme for big data exchange based on oblivious transfer, Ether cheque and smart contracts
Compact structure for sparse undirected graphs based on a clique graph partition
Three-way decision with co-training for partially labeled data
Mining local periodic patterns in a discrete sequence
Active learning Bayesian support vector regression model for global approximation
Target redirected regression with dynamic neighborhood structure
Output consensus for switched multi-agent systems with bumpless transfer control and event-triggered communication
