Identifying twins based on ocular region features using deep representations
A synthesis approach of fast robust MPC with RBF-ARX model to nonlinear system with uncertain steady status information
Nonlinear system modeling and application based on restricted Boltzmann machine and improved BP neural network
Sentiment analysis: dynamic and temporal clustering of product reviews
A new irregular cellular learning automata-based evolutionary computation for time series link prediction in social networks
Residual attention network using multi-channel dense connections for image super-resolution
An evacuation simulation method based on an improved artificial bee colony algorithm and a social force model
Transfer learning based hybrid 2D-3D CNN for traffic sign recognition and semantic road detection applied in advanced driver assistance systems
Solving multi-objective optimization problem using cuckoo search algorithm based on decomposition
Automatic feature scaling and selection for support vector machine classification with functional data
SLER: Self-generated long-term experience replay for continual reinforcement learning
An adaptive enhancement method for low illumination color images
Diagnosis of complications of type 2 diabetes based on weighted multi-label small sphere and large margin machine
Deep learning and control algorithms of direct perception for autonomous driving
Unsupervised multi-view representation learning with proximity guided representation and generalized canonical correlation analysis
Multiple delay-dependent noise-to-state stability for a class of uncertain switched random nonlinear systems with intermittent sensor and actuator faults
Decision-making method based on new entropy and refined single-valued neutrosophic sets and its application in typhoon disaster assessment
An efficient stacking model with label selection for multi-label classification
Feature selection for multi-label classification by maximizing full-dimensional conditional mutual information
Detection of COVID-19 using CXR and CT images using Transfer Learning and Haralick features
JDF-DE: a differential evolution with Jrand number decreasing mechanism and feedback guide technique for global numerical optimization
Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases
Improving the one-against-all binary approach for multiclass classification using balancing techniques
Attributed network representation learning via improved graph attention with robust negative sampling
Crowd counting method based on the self-attention residual network
Block-sparse CNN: towards a fast and memory-efficient framework for convolutional neural networks
A soft-margin convex polyhedron classifier for nonlinear task with noise tolerance
A hybrid algorithm for the university course timetabling problem using the improved parallel genetic algorithm and local search
Autoencoder-based unsupervised clustering and hashing
A multi-valued and sequential-labeled decision tree method for recommending sequential patterns in cold-start situations
Adaptive inverse multilayer fuzzy control for uncertain nonlinear system optimizing with differential evolution algorithm
E-FCNN for tiny facial expression recognition
Spatio-temporal attention on manifold space for 3D human action recognition
Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices
A new user similarity measure in a new prediction model for collaborative filtering
