Evolving data stream clustering based on constant false clustering probability
SPRNN: A spatial–temporal recurrent neural network for crowd flow prediction
Swarm control for large-scale omnidirectional mobile robots within incremental behavior
Federated stochastic configuration networks for distributed data analytics
OCSTN: One-class time-series classification approach using a signal transformation network into a goal signal
Event-based distributed sliding mode formation control of multi-agent systems and its applications to robot manipulators
Semi-overlap functions and novel fuzzy reasoning algorithms with applications
Hiding ourselves from community detection through genetic algorithms
An improved federated learning approach enhanced internet of health things framework for private decentralized distributed data
SEEP: Semantic-enhanced question embeddings pre-training for improving knowledge tracing
Structure entropy minimization-based dynamic social interaction modeling for trajectory prediction
Synchronous distributed ADMM for consensus convex optimization problems with self-loops
Consolidation of structure of high noise data by a new noise index and reinforcement learning
Dynamically aggregating individuals’ social influence and interest evolution for group recommendations
Portfolio optimization using elliptic entropy and semi-entropy of coherent fuzzy numbers