Editorial Board
A discrete variant of cuckoo search algorithm to solve the Travelling Salesman Problem and path planning for autonomous trolley inside warehouse
Fusing entropy measures for dynamic feature selection in incomplete approximation spaces
Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images
Image rain removal and illumination enhancement done in one go
Knowledge graph embedding with self adaptive double-limited loss
Tensor-based multi-view clustering with consistency exploration and diversity regularization
Sentiment Lexical Strength Enhanced Self-supervised Attention Learning for sentiment analysis
Is cross-linguistic advert flaw detection in Wikipedia feasible? A multilingual-BERT-based transfer learning approach
Active deep image clustering
Attention-based anomaly detection in multi-view surveillance videos
Cross-modality disentanglement and shared feedback learning for infrared-visible person re-identification
Augmented Score-CAM: High resolution visual interpretations for deep neural networks
FT4cip: A new functional tree for classification in class imbalance problems
Smart contract-based caching and data transaction optimization in mobile edge computing
Co-saliency detection with intra-group two-stage group semantics propagation and inter-group contrastive learning
A gated graph convolutional network with multi-sensor signals for remaining useful life prediction
A fusion of a deep neural network and a hidden Markov model to recognize the multiclass abnormal behavior of elderly people
Finite-time dissipative control for bidirectional associative memory neural networks with state-dependent switching and time-varying delays
QMVO-SCDL: A new regression model for fMRI pain decoding using quantum-behaved sparse dictionary learning
Semantic driven attention network with attribute learning for unsupervised person re-identification
A stock price prediction method based on meta-learning and variational mode decomposition
Lexical semantics enhanced neural word embeddings
Knowledge-based turbomachinery design system via a deep neural network and multi-output Gaussian process
Rapid design centering of multi-band antennas using knowledge-based inverse models and response features
VLDeformer: Vision–Language Decomposed Transformer for fast cross-modal retrieval
Measuring road safety achievement based on EWM-GRA-SVD: A decision-making support system for APEC countries
Convergence analysis of asynchronous stochastic recursive gradient algorithms
An improved density peak clustering algorithm guided by pseudo labels
LKASR: Large kernel attention for lightweight image super-resolution
Transformer-based highlights extraction from scientific papers
Modeling and optimization control of networked evolutionary games with heterogeneous memories and switched topologies
Fast EM-driven parameter tuning of microwave circuits with sparse sensitivity updates via principal directions
Semi-Supervised Federated Heterogeneous Transfer Learning
Construction of stock portfolios based on k-means clustering of continuous trend features
Multi-expert Attention Network with Unsupervised Aggregation for long-tailed fault diagnosis under speed variation
FNC: A fast neighborhood calculation framework
Twin robust matrix machine for intelligent fault identification of outlier samples in roller bearing
Ad-hoc explanation for time series classification
Statistical Drift Detection Ensemble for batch processing of data streams
BKC-Net: Bi-Knowledge Contrastive Learning for renal tumor diagnosis on 3D CT images
Health indicator construction for degradation assessment by embedded LSTM–CNN autoencoder and growing self-organized map
End-to-end deep learning for reverse driving trajectory of autonomous bulldozer
A novel random multi-subspace based ReliefF for feature selection
Parallel multi-objective evolutionary optimization based dynamic community detection in software ecosystem
MFF-Net: A multi-feature fusion network for community detection in complex network
Learning to branch with Tree-aware Branching Transformers
A fuzzy Einstein-based decision support system for public transportation management at times of pandemic
Driver drowsiness detection in video sequences using hybrid selection of deep features
Co-evolution dynamics of epidemic and information under dynamical multi-source information and behavioral responses
Few-shot object detection with semantic enhancement and semantic prototype contrastive learning
Learning twofold heterogeneous multi-task by sharing similar convolution kernel pairs
A multi-objective dynamic covering location problem for hierarchical agricultural machinery maintenance facilities
Siamese visual tracking combining granular level multi-scale features and global information
ELMGAN: A GAN-based efficient lightweight multi-scale-feature-fusion multi-task model
Intrusion detection using optimized ensemble classification in fog computing paradigm
D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis
Attention based long-term air temperature forecasting network: ALTF Net
An ensemble multi-step M-RMLSSVR model based on VMD and two-group strategy for day-ahead short-term load forecasting
A-SFS: Semi-supervised feature selection based on multi-task self-supervision
Data-augmented wavelet capsule generative adversarial network for rolling bearing fault diagnosis
BMPA-TVSinV: A Binary Marine Predators Algorithm using time-varying sine and V-shaped transfer functions for wrapper-based feature selection
Subspace clustering by directly solving Discriminative K-means
Pre-trained language models with domain knowledge for biomedical extractive summarization
A novel intrinsically explainable model with semantic manifolds established via transformed priors
Multi-attention concept-cognitive learning model: A perspective from conceptual clustering
A class-aware supervised contrastive learning framework for imbalanced fault diagnosis
Sparse online maximum entropy inverse reinforcement learning via proximal optimization and truncated gradient
Latent graph learning with dual-channel attention for relation extraction
Turn tree into graph: Automatic code review via simplified AST driven graph convolutional network
Learning knowledge graph embeddings by deep relational roto-reflection
Deep coastal sea elements forecasting using UNet-based models
Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples
Entity alignment based on relational semantics augmentation for multilingual knowledge graphs
Attention-based aspect sentiment classification using enhanced learning through cnn-Bilstm networks
Trigger is Non-central: Jointly event extraction via label-aware representations with multi-task learning
Learning strategy for continuous robot visual control: A multi-objective perspective
Manifold discrimination partial adversarial domain adaptation
Balancing the trade-off between accuracy and diversity in recommender systems with personalized explanations based on Linked Open Data
Federated knowledge graph completion via embedding-contrastive learning
