Influence maximization based on community structure and second-hop neighborhoods
A multi-branch attention and alignment network for person re-identification
Learning graph-constrained cascade regressors for single image super-resolution
Partial person re-identification using a pose-guided alignment network with mask learning
Three-way enhanced part-aware network for fine-grained sketch-based image retrieval
Few-shot domain adaptation through compensation-guided progressive alignment and bias reduction
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
Lie group continual meta learning algorithm
Image encryption using permutation generated by modified Regula-Falsi method
Harris Hawk Optimization Algorithm Based on Cauchy Distribution Inverse Cumulative Function and Tangent Flight Operator
Bio-inspired feature enhancement network for edge detection
A novel decomposition-based ensemble model for short-term load forecasting using hybrid artificial neural networks
Identifying cardiomegaly in chest x-rays using dual attention network
ConsilientSFL: using preferential voting system to generate combinatorial ranking metrics for spectrum-based fault localization
A fuzzy rough set approach to hierarchical feature selection based on Hausdorff distance
DLIR: a deep learning-based initialization recommendation algorithm for trust-aware recommendation
A feature-level full-reference image denoising quality assessment method based on joint sparse representation
Attribute and label distribution driven multi-label active learning
LightNet+: A dual-source lightning forecasting network with bi-direction spatiotemporal transformation
Data-driven physical law learning model for chaotic robot dynamics prediction
Bayes-DCGRU with bayesian optimization for rolling bearing fault diagnosis
Image-text interaction graph neural network for image-text sentiment analysis
Heterogeneous information network-based interest composition with graph neural network for recommendation
Multi-stage deep probabilistic prediction for travel demand
Forecasting patient arrivals at emergency department using calendar and meteorological information
Graph pruning for model compression
Satisfying user preferences in optimised ridesharing services:
Second-order convolutional networks for iris recognition
Automatic and robust hand gesture recognition by SDD features based model matching
Modified group theory-based optimization algorithms for numerical optimization
Graph representation learning via simple jumping knowledge networks
RGB-T salient object detection via CNN feature and result saliency map fusion
Deep spatial-temporal bi-directional residual optimisation based on tensor decomposition for traffic data imputation on urban road network
Controllable image caption with an encoder-decoder optimization structure
Relation network based on multi-granular hypergraphs for person re-identification
Harris hawks optimization algorithm based on elite fractional mutation for data clustering
GCHGAT: pedestrian trajectory prediction using group constrained hierarchical graph attention networks
Analysis and implementation of no-equilibrium chaotic system with application in image encryption
Data association and loop closure in semantic dynamic SLAM using the table retrieval method
A hybrid extreme learning machine model with harris hawks optimisation algorithm: an optimised model for product demand forecasting applications
Personalized face-pose estimation network using incrementally updated face shape parameters
A supervised machine learning framework with combined blocking for detecting serial crimes
Aspect-level sentiment classification based on location and hybrid multi attention mechanism
Two-stage clustering algorithm based on evolution and propagation patterns
An improved decomposition method for large-scale global optimization: bidirectional-detection differential grouping
An industrial portrait background removal solution based on knowledge infusion
Gradient-based elephant herding optimization for cluster analysis
Measure information quality of basic probability assignment: An information volume method
Multi-label feature selection based on manifold regularization and imbalance ratio
A connected network-regularized logistic regression model for feature selection
