Editorial Board
Sequential analysis in Fourier probabilistic neural networks
Design and evaluation of adaptive system for big data cyber security analytics
Appointment Scheduling Problem under Fairness Policy in Healthcare Services: Fuzzy Ant Lion Optimizer
Deep transfer learning in sheep activity recognition using accelerometer data
Driving support by type-2 fuzzy logic control model
AutoTinyML for microcontrollers: Dealing with black-box deployability
Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images
A click-through rate model of e-commerce based on user interest and temporal behavior
Scalable and order invariant analog integrated circuit placement with Attention-based Graph-to-Sequence deep models
A comparative study of common steps in video-based remote heart rate detection methods
An improved NSGA-III algorithm based on distance dominance relation for many-objective optimization
Quality of randomness and node dropout regularization for fitting neural networks
Evolving Gaussian on-line clustering in social network analysis
Research on prediction of multi-class theft crimes by an optimized decomposition and fusion method based on XGBoost
Coordinating double-level sustainability effort in a sustainable supply chain under cap-and-trade regulation
Automatic concrete sidewalk deficiency detection and mapping with deep learning
A novel multi-scale CNNs for false positive reduction in pulmonary nodule detection
Optimum fuzzy logic controller applied to a hybrid hydraulic vehicle to minimize fuel consumption and emissions
Fusing feature engineering and deep learning: A case study for malware classification
Multi-camera vehicle counting using edge-AI
ICSA: Intelligent chatbot security assistant using Text-CNN and multi-phase real-time defense against SNS phishing attacks
Gravitational wave signal recognition and ring-down time estimation via Artificial Neural Networks
A feature selection method via relevant-redundant weight
Heart disease prediction using entropy based feature engineering and ensembling of machine learning classifiers
Nonlinearities between bank stability and income diversification: A dynamic network data envelopment analysis approach
Soil moisture forecast for smart irrigation: The primetime for machine learning
Individual behaviors, social learning, and swarm intelligence: Real case and counterfactuals
Dynamic adversarial domain adaptation based on multikernel maximum mean discrepancy for breast ultrasound image classification
Generating realistic cyber data for training and evaluating machine learning classifiers for network intrusion detection systems
Smart interpretable model (SIM) enabling subject matter experts in rule generation
A comparison of local explanation methods for high-dimensional industrial data: A simulation study
COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain
Data-driven adaptive-critic optimal output regulation towards water level control of boiler-turbine systems
Forecasting stock volatility and value-at-risk based on temporal convolutional networks
Explainable inflation forecasts by machine learning models
Multiple userids identification with deep learning
IntegrateCF: Integrating explicit and implicit feedback based on deep learning collaborative filtering algorithm
ISAIR: Deep inpainted semantic aware image representation for background subtraction
Robust outlier detection based on the changing rate of directed density ratio
A hybrid framework based on extreme learning machine, discrete wavelet transform, and autoencoder with feature penalty for stock prediction
Graph neural network for traffic forecasting: A survey
A novel locality-sensitive hashing relational graph matching network for semantic textual similarity measurement
ATOM: A general calibration framework for multi-modal, multi-sensor systems
Three-stage churn management framework based on DCN with asymmetric loss
Multi-document summarization for patent documents based on generative adversarial network
Phishing websites detection using a novel multipurpose dataset and web technologies features
Leveraging email marketing: Using the subject line to anticipate the open rate
Sine–Cosine-Barnacles Algorithm Optimizer with disruption operator for global optimization and automatic data clustering
A constrained multi-item EOQ inventory model for reusable items: Reinforcement learning-based differential evolution and particle swarm optimization
Data privacy and utility trade-off based on mutual information neural estimator
Ensemble learning with a genetic algorithm for surface roughness prediction in multi-jet polishing
Prediction on spatial elevation using improved kriging algorithms: An application in environmental management
Index similarity assisted particle filter for early failure time prediction with applications to turbofan engines and compressors
A sequential direct hybrid algorithm to compute stationary distribution of continuous-time Markov chain
Deep multi-scale Gaussian residual networks for contextual-aware translation initiation site recognition
Blockchain assisted clustering with Intrusion Detection System for Industrial Internet of Things environment
Multivariate regression (MVR) and different artificial neural network (ANN) models developed for optical transparency of conductive polymer nanocomposite films
Supervised contrastive learning-guided prototypes on axle-box accelerations for railway crossing inspections
Detection of shell companies in financial institutions using dynamic social network
Network-energy-based predictability and link-corrected prediction in complex networks
Ensemble Knowledge Tracing: Modeling interactions in learning process
A control algorithm for a non-stationary batch service production system using Kalman filter
Novel enhanced Salp Swarm Algorithms using opposition-based learning schemes for global optimization problems
On the security of deep learning novelty detection
Subspace-based outlier detection using linear programming and heuristic techniques
New upper bounds for sequence Covering Arrays using a 3-stage approach
PaTRIZ: A framework for mining TRIZ contradictions in patents
Incremental sequential patterns for multivariate temporal association rules mining
A distributed flexible job shop scheduling problem considering worker arrangement using an improved memetic algorithm
Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision
Multimodal representation learning over heterogeneous networks for tag-based music retrieval
Deep recurrent modelling of Granger causality with latent confounding
Forecasting corporate credit ratings using big data from social media
A fuzzy multicriteria group decision approach for classification of failure modes in a hospital’s operating room
Data-driven decision support for rail traffic control: A predictive approach
SMAA-Choquet-FlowSort: A novel user-preference-driven Choquet classifier applied to supplier evaluation
Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges
Corrigendum to “Manufacturer’s selling mode choice in a platform-oriented dual channel supply chain” [Expert Syst. Appl. 198 (2022) 116842]
Quadratic programming feature selection for multicorrelated signal decoding with partial least squares
Modeling Second Language Acquisition with pre-trained neural language models
Comparing PCA-based fault detection methods for dynamic processes with correlated and Non-Gaussian variables
Continental generalization of a human-in-the-loop AI system for clinical seizure recognition
The incremental online k-means clustering algorithm and its application to color quantization
RCL-Learning: ResNet and convolutional long short-term memory-based spatiotemporal air pollutant concentration prediction model
Monitoring of wastewater treatment process based on multi-stage variational autoencoder
Designing an expert system to support aviation occurrence investigations
Wind speed forecasting using multi-scale feature adaptive extraction ensemble model with error regression correction
Using text mining to establish knowledge graph from accident/incident reports in risk assessment
An approach for sales forecasting
Improving plagiarism detection in text document using hybrid weighted similarity
EEG-based emotion analysis using non-linear features and ensemble learning approaches
Multi-label learning with kernel local label information
A Neural Architecture Search for Automated Multimodal Learning
Efficient and robust time series prediction model based on REMD-MMLP with temporal-window
Trajectory optimization for exposure to minimal electromagnetic pollution using genetic algorithms approach: A case study
A novel image encryption scheme based on chaotic apertured fractional Mellin transform and its filter bank
Cognitive-aware lecture video recommendation system using brain signal in flipped learning pedagogy
Human-inspired spatiotemporal feature extraction and fusion network for weather forecasting
Fuzzy closed-loop supply chain models with quality and marketing effort-dependent demand
