Editorial Board
Incremental Fisher linear discriminant based on data denoising
An ISHAP-based interpretation-model-guided classification method for malignant pulmonary nodule
A Long Short-Term Memory-based correlated traffic data prediction framework
Air quality deterministic and probabilistic forecasting system based on hesitant fuzzy sets and nonlinear robust outlier correction
A new robust fuzzy c-means clustering method based on adaptive elastic distance
Multilayer encoder and single-layer decoder for abstractive Arabic text summarization
Convolutional rule inference network based on belief rule-based system using an evidential reasoning approach
Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection
Artificial Neural Network (ANN) - Bayesian Probability Framework (BPF) based method of dynamic force reconstruction under multi-source uncertainties
Multi-core parallel algorithms for hiding high-utility sequential patterns
Transfer learning augmented enhanced memory network models for reference evapotranspiration estimation
Protein secondary structure prediction using a lightweight convolutional network and label distribution aware margin loss
Real-time steganalysis for streaming media based on multi-channel convolutional sliding windows
Fixed effects panel interval-valued data models and applications
Extracting data models from background knowledge graphs
Fact-based visual question answering via dual-process system
Inferring the densest multi-profiled cross-community for a user
Gated residual neural networks with self-normalization for translation initiation site recognition
MOMRFO: Multi-objective Manta ray foraging optimizer for handling engineering design problems
CCGIR: Information retrieval-based code comment generation method for smart contracts
Improved dynamic adaptive ant colony optimization algorithm to solve pipe routing design
Slim-RFFNet: Slim deep convolution random Fourier feature network for image classification
Subset neighborhood rough sets
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks
Detecting prohibited objects with physical size constraint from cluttered X-ray baggage images
Extensive networks would eliminate the demand for pricing formulas
EIGAT: Incorporating global information in local attention for knowledge representation learning
Improved prior selection using semantics in maximum a posteriori for few-shot learning
A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support
3D hierarchical dual-attention fully convolutional networks with hybrid losses for diverse glioma segmentation
A novel two-archive evolutionary algorithm for constrained multi-objective optimization with small feasible regions
Knowledge-based performance-driven modeling of antenna structures
Transfer learning-based thermal error prediction and control with deep residual LSTM network
The soft-margin Support Vector Machine with ordered weighted average
Using extreme prior probabilities on the Naive Credal Classifier
Mining frequent weighted utility itemsets in hierarchical quantitative databases
Online Active Proposal Set Generation for weakly supervised object detection
Mixed data-driven sequential three-way decision via subjective–objective dynamic fusion
Constrained evolutionary optimization based on reinforcement learning using the objective function and constraints
Community reinforcement: An effective and efficient preprocessing method for accurate community detection
A novel space contraction based on evolutionary strategy for economic dispatch
