Addressing label ambiguity imbalance in candidate labels: Measures and disambiguation algorithm
Crowdsensing based missing data inference algorithm considering outlier data and GPS errors
An integrated method for product ranking through online reviews based on evidential reasoning theory and stochastic dominance
Error controlled actor-critic
Spiking neural P systems without duplication
A structure noise-aware tensor dictionary learning method for high-dimensional data clustering
A fusion approach based on evidential reasoning rule considering the reliability of digital quantities
Population based training and federated learning frameworks for hyperparameter optimisation and ML unfairness using Ulimisana Optimisation Algorithm
SEMMI: Multi-party security decision-making scheme for linear functions in the internet of medical things
A hybrid evolutionary multitask algorithm for the multiobjective vehicle routing problem with time windows
Click-through rate prediction using transfer learning with fine-tuned parameters
A new maximal flow algorithm for solving optimization problems with linguistic capacities and flows
Quasi projective synchronization of time varying delayed complex valued Cohen-Grossberg neural networks
Adaptive asymptotic tracking control for multi-input and multi-output nonlinear systems with unknown hysteresis inputs
A dynamic large-scale multiple attribute group decision-making method with probabilistic linguistic term sets based on trust relationship and opinion correlation
Convergence theorems for Choquet integrals with generalized autocontinuity
Event-based security tracking control for networked control systems against stochastic cyber-attacks
Multi-objective multitasking optimization based on positive knowledge transfer mechanism
Event-triggered adaptive fixed-time fuzzy control for uncertain nonlinear systems with unknown actuator faults
A large-scale group decision-making model with no consensus threshold based on social network analysis
Dynamic event-triggered security control for networked control systems with cyber-attacks: A model predictive control approach
Almost aggregations in the gravitational clustering to perform anomaly detection
Bipartite event-triggered impulsive output consensus for switching multi-agent systems with dynamic leader
The stability of the controlled problem of fuzzy dynamic systems involving the random-order Caputo fractional derivative
Safe semi-supervised learning using a bayesian neural network
Interval possibilistic C-means algorithm and its application in image segmentation
Event-based adaptive neural network asymptotic tracking control for a class of nonlinear systems
A neural network learning algorithm for highly imbalanced data classification
Automating the decision making process of Todd’s age estimation method from the pubic symphysis with explainable machine learning
A novel conflict management considering the optimal discounting weights using the BWM method in Dempster-Shafer evidence theory
A novel network-based and divergence-based time series forecasting method
Multi-view clustering with graph regularized optimal transport
Multi-strategy particle swarm and ant colony hybrid optimization for airport taxiway planning problem
Robust backdoor injection with the capability of resisting network transfer
Output Feedback Observability of Switched Boolean Control Networks
Hyper-clustering enhanced spatio-temporal deep learning for traffic and demand prediction in bike-sharing systems
A self-evolving fuzzy system online prediction-based dynamic multi-objective evolutionary algorithm
The minimum quasi-clique partitioning problem: Complexity, formulations, and a computational study
Subspace clustering via joint ℓ1,2 and ℓ2,1 norms
Memory characteristics-based generalized fuzzy dissipative robust control for multiple delayed uncertain jump systems
Automatic index selection with learned cost estimator
AFNFS: Adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data
An efficient deep neural network framework for COVID-19 lung infection segmentation
Fixed-time formation-containment control for uncertain multi-agent systems with varying gain extended state observer
Uncertain motion tracking via target-objectness proposal and memory validation
Intermodal hub-and-spoke logistic network design with differentiated services: The case of China Railway Express
Graph prototypical contrastive learning
Fully convolutional networks with shapelet features for time series classification
HGHAN: Hacker group identification based on heterogeneous graph attention network
DSGA: A Distributed Segment-Based Genetic Algorithm for Multi-Objective Outsourced Database Partitioning
Extended artificial neural networks approach for solving two-dimensional fractional-order Volterra-type integro-differential equations
A convergence analysis of Nesterov’s accelerated gradient method in training deep linear neural networks
Linkage-constraint criteria for robust exponential stability of nonlinear BAM system with derivative contraction coefficients and piecewise constant arguments
A quantum blockchain-enabled framework for secure private electronic medical records in Internet of Medical Things
Bipartite containment tracking over switching signed networks
Two classes of granular solutions and related optimality conditions for interval type-2 fuzzy optimization
Effective machine learning model combination based on selective ensemble strategy for time series forecasting
Solving multimodal optimization problems using adaptive differential evolution with archive
An intelligent intervention strategy for patients to prevent chronic complications based on reinforcement learning
Adaptive multistrategy ensemble particle swarm optimization with Signal-to-Noise ratio distance metric
A novel method for optimizing spectral rotation embedding K-means with coordinate descent
Adaptive non-singular finite time control of nonlinear disturbed cyber-physical systems with actuator cyber-attacks and time-varying delays
An effective knowledge transfer method based on semi-supervised learning for evolutionary optimization
Characterization of generalized (h,e)-implications based on the characterization of (f,e) and (g,e)-implications
DenseBert4Ret: Deep bi-modal for image retrieval
A new approach to generalized neighborhood system-based rough sets via convex structures and convex matroids
A fairness-concern-based LINMAP method for heterogeneous multi-criteria group decision making with hesitant fuzzy linguistic truth degrees
Score-driven generalized fitness model for sparse and weighted temporal networks
