Editorial Board
Classifying the multi-omics data of gastric cancer using a deep feature selection method
An empirical study of the design choices for local citation recommendation systems
MantaRayWmark: An image adaptive multiple embedding strength optimization based watermarking using Manta Ray Foraging and bi-directional ELM
Sensitive misalignment-based dynamic loaded meshing impact diagnosis mechanism for aviation spiral bevel gear transmission
An adaptive feature selection schema using improved technical indicators for predicting stock price movements
Binary Simulated Normal Distribution Optimizer for feature selection: Theory and application in COVID-19 datasets
Probabilistic deep learning model as a tool for supporting the fast simulation of a thermal–hydraulic code
Ensemble feature selection using distance-based supervised and unsupervised methods in binary classification
Max–min dispersion with capacity and cost for a practical location problem
On forecasting non-renewable energy production with uncertainty quantification: A case study of the Italian energy market
Development of a Boundary Assigned Animal Migration Optimization algorithm and its application to optimal power flow study
Assessing credit risk of commercial customers using hybrid machine learning algorithms
Extending a fuzzy network data envelopment analysis model to measure maturity levels of a performance based-budgeting system: A case study
Scheduling of energy-efficient distributed blocking flowshop using pareto-based estimation of distribution algorithm
DSG-Fusion: Infrared and visible image fusion via generative adversarial networks and guided filter
Recovery schemes of Hop Count Matrix via topology inference and applications in range-free localization
Bone age assessment and sex determination using transfer learning
Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives
Multi-scale temporal features extraction based graph convolutional network with attention for multivariate time series prediction
Statistical emotion control: Comparing intensity and duration of emotional reactions based on facial expressions
Recognize the surrounding: Development and evaluation of convolutional deep networks using gammatone spectrograms and raw audio signals
Poplar optimization algorithm: A new meta-heuristic optimization technique for numerical optimization and image segmentation
An overview of the most influential journals in fuzzy systems research
Homophily-aware correction framework for crowdsourced labels using heterogeneous information network
SILT: Efficient transformer training for inter-lingual inference
Hybrid neural tagging model for open relation extraction
A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain
Sparse convex combinations of forecasting models by meta learning
Broad learning approach to Surrogate-Assisted Multi-Objective evolutionary fuzzy clustering algorithm based on reference points for color image segmentation
Decision framework with integrated methods for group decision-making under probabilistic hesitant fuzzy context and unknown weights
Unsupervised machine learning approach for building composite indicators with fuzzy metrics
Machine learning and soft computing applications in textile and clothing supply chain: Bibliometric and network analyses to delineate future research agenda
Energy efficient scheduling and power control of massive MIMO in massive IoT networks
Deep reinforcement learning with the confusion-matrix-based dynamic reward function for customer credit scoring
External force estimation and disturbance rejection for Micro Aerial Vehicles
An overview of deep learning methods for multimodal medical data mining
Prediction of gas concentration evolution with evolutionary attention-based temporal graph convolutional network
A cost-efficient IoT service placement approach using whale optimization algorithm in fog computing environment
Multi-scale features fused network with multi-level supervised path for crowd counting
An automated cryptocurrency trading system based on the detection of unusual price movements with a Time-Series Clustering-Based approach
A comprehensive model for socially responsible rehabilitation of mining sites using Q-rung orthopair fuzzy sets and combinative distance-based assessment
Detecting retinal vasculature as a key biomarker for deep Learning-based intelligent screening and analysis of diabetic and hypertensive retinopathy
An integrated ELECTRE-I approach for risk evaluation with hesitant Pythagorean fuzzy information
A novel SMOTE-based resampling technique trough noise detection and the boosting procedure
Privacy risk assessment and privacy-preserving data monitoring
A joint FrameNet and element focusing Sentence-BERT method of sentence similarity computation
Manifold feature index: A novel index based on high-dimensional data simplification
A deep surrogate model with spatio-temporal awareness for water quality sensor measurement
Interpretable risk models for Sleep Apnea and Coronary diseases from structured and non-structured data
Identifying the influential contributing factors to micro-enterprises’ workplace accidents using a hybrid D-DEMATEL-IFISM method
On art authentication and the Rijksmuseum challenge: A residual neural network approach
COVID-19 personal health mention detection from tweets using dual convolutional neural network
Multisensory data fusion-based deep learning approach for fault diagnosis of an industrial autonomous transfer vehicle
Explicable recommendation based on knowledge graph
Is the vessel fishing? Discrimination of fishing activity with low-cost intelligent mobile devices through traditional and heuristic approaches
Optimal design of cascaded Wiener-Hammerstein system using a heuristically supervised discrete Kalman filter with application on benchmark problems
A new integrated multi-attribute decision-making approach for mobile medical app evaluation under q-rung orthopair fuzzy environment
KDE-OCSVM model using Kullback-Leibler divergence to detect anomalies in medical claims
A family system based evolutionary algorithm for obstacle-evasion minimal exposure path problem in Internet of Things
Redundancy allocation problem of a Multi-State system with Binary-State continuous performance level components
Optimizing feature selection methods by removing irrelevant features using sparse least squares
GHRS: Graph-based hybrid recommendation system with application to movie recommendation
A comprehensive benchmark dataset for SSVEP-based hybrid BCI
Assessing expert system-assisted literature reviews with a case study
Complex graph convolutional network for link prediction in knowledge graphs
RankSum—An unsupervised extractive text summarization based on rank fusion
An improved seagull optimization algorithm for optimal coordination of distance and directional over-current relays
Multilingual fine-tuning for Grammatical Error Correction
Inclined planes system optimization: Theory, literature review, and state-of-the-art versions for IIR system identification
Filter group delays equalization for 2D discrete wavelet transform applications
Cooperative co-evolutionary differential evolution algorithm applied for parameters identification of lithium-ion batteries
Multiple regression techniques for modelling dates of first performances of Shakespeare-era plays
A novel Interval Type-2 Fuzzy best-worst method and combined compromise solution for evaluating eco-friendly packaging alternatives
