Editorial Board
Learning persona-driven personalized sentimental representation for review-based recommendation
OWA aggregation operators and multi-agent decisions with N-soft sets
Comprehensive comparative study of multi-label classification methods
Deep Convolutional Neural Network to improve the performances of screening process in LBVS
Robust audio watermarking scheme based on fractional Charlier moment transform and dual tree complex wavelet transform
Automated assessment of subjective assignments: A hybrid approach
Automated accurate fire detection system using ensemble pretrained residual network
Construction of health indicators for condition monitoring of rotating machinery: A review of the research
Advanced calibration of mortality prediction on cardiovascular disease using feature-based artificial neural network
An effective two-stage algorithm based on convolutional neural network for the bi-objective flexible job shop scheduling problem with machine breakdown
Multi-failure detection using device hierarchical attention network
A Supply Selection Method for better Feasible Solution of balanced transportation problem
SIMCD: SIMulated crowd data for anomaly detection and prediction
A feature fusion sequence learning approach for quantitative analysis of tremor symptoms based on digital handwriting
Seizure localisation with attention-based graph neural networks
An energy efficient cluster based hybrid optimization algorithm with static sink and mobile sink node for Wireless Sensor Networks
Deep reinforcement learning for improving competitive cycling performance
Predicting savings adequacy using machine learning: A behavioural economics approach
Intelligent fault diagnosis of machine under noisy environment using ensemble orthogonal contractive auto-encoder
Quarterly sales analysis using linguistic fuzzy logic with weather data
Randomness-oriented Multi-dimensional Cloud-based belief rule Base approach for complex system modeling
A text as unique as a fingerprint: Text analysis and authorship recognition in a Virtual Learning Environment of the Unified Health System in Brazil
Historical pattern recognition with trajectory similarity for daily tourist arrivals forecasting
Using a genetic algorithm to optimize an expert credit rating model
Nonlinear marine predator algorithm: A cost-effective optimizer for fair power allocation in NOMA-VLC-B5G networks
Technology-enabled capabilities in road freight transportation systems: A multi-method study
Modeling and classifying the in-operando effects of wear and metal contaminations of lubricating oil on diesel engine: A machine learning approach
Development of a GAN architecture based on integrating global and local information for paired and unpaired medical image translation
An efficient simulation model for layout and mode performance evaluation of robotic mobile fulfillment systems
Complete coverage path planning algorithm based on energy compensation and obstacle vectorization
Progress prediction of Parkinson's disease based on graph wavelet transform and attention weighted random forest
Comprehensive survey of computational ECG analysis: Databases, methods and applications
An interpretable decision-support systems for daily cryptocurrency trading
A heterogeneous multi-attribute case retrieval method for emergency decision making based on bidirectional projection and TODIM
A 2-tier fuzzy control system for grade adjustment based on students’ social interactions
CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization
A rollout heuristic algorithm for order sequencing in robotic compact storage and retrieval systems
Multi-output regression using polygon generation and conditional generative adversarial networks
A two-stage cooperative scatter search algorithm with multi-population hierarchical learning mechanism
Multi-objective stochastic project scheduling with alternative execution methods: An improved quantum-behaved particle swarm optimization approach
A fast DBSCAN algorithm for big data based on efficient density calculation
Matching Knowledge Graphs with Compact Niching Evolutionary Algorithm
A majority–minority cellular automata algorithm for global optimization
The tree based linear regression model for hierarchical categorical variables
SAFECAR: A Brain–Computer Interface and intelligent framework to detect drivers’ distractions
Automatic liver tumor segmentation from CT images using hierarchical iterative superpixels and local statistical features
NROWAN-DQN: A stable noisy network with noise reduction and online weight adjustment for exploration
Large-scale online learning of implied volatilities
Combining ontology and probabilistic models for the design of bio-based product transformation processes
Thermal heat distribution features for hand identification
SEDGN: Sequence enhanced denoising graph neural network for session-based recommendation
Data driven tools to assess the location of photovoltaic facilities in urban areas
Robust scheduling for flexible machining job shop subject to machine breakdowns and new job arrivals considering system reusability and task recurrence
Predicting the top-level ontological concepts of domain entities using word embeddings, informal definitions, and deep learning
ASHEED: Attention-shifting mechanism for depolarization of cluster head energy consumption in the smart sensing system
GssMILP for anomaly classification in surveillance videos
Bagging ensemble-based novel data generation method for univariate time series forecasting
Soft hypergraph for modeling global interactions via social media networks
Evaluation of the European container ports using a new hybrid fuzzy LBWA-CoCoSo'B techniques
The attitude of MCDM approaches versus the optimization model in finding the safest shortest path on a fuzzy network
A two-stage approach with softmax scoring mechanism for a multi-project scheduling problem sharing multi-skilled staff
An approximate dynamic programming approach for solving an air combat maneuvering problem
A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling
A deep learning approach for decoding visually imagined digits and letters using time–frequency–spatial representation of EEG signals
Stochastic optimization model for determining support system parameters of a subway station
Sampling diversity driven exploration with state difference guidance
Accurate and prompt answering framework based on customer reviews and question-answer pairs
An unsupervised annotation of Arabic texts using multi-label topic modeling and genetic algorithm
Continuous and simultaneous estimation of lower limb multi-joint angles from sEMG signals based on stacked convolutional and LSTM models
Design, implementation and evaluation of an expert system for operating regime detection in industrial gas turbine
A reinforcement learning based artificial bee colony algorithm with application in robot path planning
Conversational recommender systems techniques, tools, acceptance, and adoption: A state of the art review
Detecting collusive spammers on e-commerce websites based on reinforcement learning and adversarial autoencoder
Joint training of a predictor network and a generative adversarial network for time series forecasting: A case study of bearing prognostics
Smart-contract enabled decentralized knowledge fusion for blockchain-based conversation system
A hybrid dynamic economic environmental dispatch model for balancing operating costs and pollutant emissions in renewable energy: A novel improved mayfly algorithm
An empirical evaluation of machine learning techniques to classify code comprehension based on EEG data
Real-time walking gait terrain classification from foot-mounted Inertial Measurement Unit using Convolutional Long Short-Term Memory neural network
On the limits of Conditional Generative Adversarial Neural Networks to reconstruct the identification of inhabitants from IoT low-resolution thermal sensors
Polymorphic graph attention network for Chinese NER
Deep learning methods evaluation to predict air quality based on Computational Fluid Dynamics
Human mobility forecasting with region-based flows and geotagged Twitter data
An extended attention mechanism for scene text recognition
A generalized framework for recognition of expiration dates on product packages using fully convolutional networks
Testing the predictive power: A comparative study of current default probability validation tests
The design of a flexible bus line plan
Recognition of DDoS attacks on SD-VANET based on combination of hyperparameter optimization and feature selection
Neural stylist: Towards online styling service
A decision support tool for intelligent manufacturing systems via an elevator kinematic optimisation based method
Novel Signal-to-Signal translation method based on StarGAN to generate artificial EEG for SSVEP-based brain-computer interfaces
AI-based Twitter framework for assessing the involvement of government schemes in electoral campaigns
Assessment of risk-sharing ratio with considering budget constraint and disruption risk under a triangular Pythagorean fuzzy environment in public–private partnership projects
Adaptive granulation Renyi rough entropy image thresholding method with nested optimization
PersonalityGate: A general plug-and-play GNN gate to enhance cascade prediction with personality recognition task
A sampling-based multi-objective iterative robust optimization method for Bandwidth Packing Problem
Two-sided disassembly line balancing problem with sequence-dependent setup time: A constraint programming model and artificial bee colony algorithm
Multi-sector discrete-time channel model for data link layer evaluation of CubeSat communications
Cross-direction environmental performance evaluation based on directional distance function in data envelopment analysis
Identification of spreading influence nodes via multi-level structural attributes based on the graph convolutional network
