Editorial Board
Printed label defect detection using twice gradient matching based on improved cosine similarity measure
A novel MADM technique based on extended power generalized Maclaurin symmetric mean operators under probabilistic dual hesitant fuzzy setting and its application to sustainable suppliers selection
Depressioner: Facial dynamic representation for automatic depression level prediction
Neural network based fuzzy cognitive map
Novel optimized crow search algorithm for feature selection
Accelerated Frequent Closed Sequential Pattern Mining for uncertain data
Strategic servitization design method for Industry 4.0-based smart intralogistics and production
Support Vector Machine with feature selection: A multiobjective approach
A Markov decision process approach for managing medical drone deliveries
Assessing integrated coal production and land reconstruction systems under extreme temperatures
An accurate approximation to barrier option prices with discrete fixed-amount dividends: Nonlinear dynamics
Hybrid game cross efficiency evaluation models based on interval data: A case of forest carbon sequestration
General assembly framework for online streaming feature selection via Rough Set models
Towards multi-sensory design: Placemaking through immersive environments – Evaluation of the approach
A rough set-based Competitive Intelligence approach for anticipating competitor’s action
A Behavioral Assessment Model for Emotional Persuasion Driven by Agent-Based Decision-Making
A novel time series clustering method with fine-tuned support vector regression for customer behavior analysis
Mapping layperson medical terminology into the Human Phenotype Ontology using neural machine translation models
Pet analytics: Predicting adoption speed of pets from their online profiles
A bi-objective k-nearest-neighbors-based imputation method for multilevel data
A Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop
Stock market prediction and portfolio composition using a hybrid approach combined with self-adaptive evolutionary algorithm
A local dimming method based on improved multi-objective evolutionary algorithm
Multivariate bounded support asymmetric generalized Gaussian mixture model with model selection using minimum message length
A fair consensus model in blockchain based on computational reputation
VEPRECO: Vertical databases with pre-pruning strategies and common candidate selection policies to fasten sequential pattern mining
Formulation and exact algorithms for electric vehicle production routing problem
A decentralized feedback mechanism with compromise behavior for large-scale group consensus reaching process with application in smart logistics supplier selection
The climate change Twitter dataset
Prediction of SSE Shanghai Enterprises index based on bidirectional LSTM model of air pollutants
An effective hashing method using W-Shaped contrastive loss for imbalanced datasets
Prediction of stock market index based on ISSA-BP neural network
Intrusion detection system based on hybridizing a modified binary grey wolf optimization and particle swarm optimization
A multi-stage multimodal framework for sentiment analysis of Assamese in low resource setting
An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring
Dysphagia diagnosis system with integrated speech analysis from throat vibration
Knowledge guided distance supervision for biomedical relation extraction in Chinese electronic medical records
Automatic detection of Long Method and God Class code smells through neural source code embeddings
A novel end-to-end neural network for simultaneous filtering of task-unrelated named entities and fine-grained typing of task-related named entities
An improved group teaching optimization algorithm based on local search and chaotic map for feature selection in high-dimensional data
A hypergraph-based framework for personalized recommendations via user preference and dynamics clustering
Optimizing a robust capital-constrained dual-channel supply chain under demand distribution uncertainty
Fast COVID-19 versus H1N1 screening using Optimized Parallel Inception
Feature optimization method for the localization technology on loose particles inside sealed electronic equipment
A fuzzy-based ensemble model for improving malicious web domain identification
A three-level consensus model for large-scale multi-attribute group decision analysis based on distributed preference relations under social network analysis
A dynamic case-based reasoning system for responding to infectious disease outbreaks
A structure-characteristic-aware network embedding model via differential evolution
A ranking-based adaptive cuckoo search algorithm for unconstrained optimization
MRDN: A lightweight Multi-stage residual distillation network for image Super-Resolution
DeepInteract: Multi-view features interactive learning for sequential recommendation
Multi-swarm improved moth–flame optimization algorithm with chaotic grouping and Gaussian mutation for solving engineering optimization problems
Fast weighted CP decomposition for context-aware recommendation with explicit and implicit feedback
COVID-19 detection on Chest X-ray images: A comparison of CNN architectures and ensembles
A survey and comparison of leading-edge uncertainty handling methods for power grid modernization
Associative reasoning-based interpretable continuous decision making in industrial production process
Integrating data decomposition and machine learning methods: An empirical proposition and analysis for renewable energy generation forecasting
Mutually reinforced network embedding: An integrated approach to research paper recommendation
RADIS: A real-time anomaly detection intelligent system for fault diagnosis of marine machinery
A MCDM-based framework for blockchain consensus protocol selection
A hybrid prototype selection-based deep learning approach for anomaly detection in industrial machines
OWGraMi: Efficient method for mining weighted subgraphs in a single graph
COVID-19 malicious domain names classification
Forecasting green bond volatility via novel heterogeneous ensemble approaches
An optimization-based selection approach of landing sites for swarm unmanned aerial vehicles in unknown environments
Using CNN for solving two-player zero-sum games
A hybrid consensus algorithm for master–slave blockchain in a multidomain conversation system
Preliminary exploration of topic modelling representations for Electronic Health Records coding according to the International Classification of Diseases in Spanish
Learning structured embeddings of knowledge graphs with generative adversarial framework
RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images
Illumination-aware image fusion for around-the-clock human detection in adverse environments from Unmanned Aerial Vehicle
An accurate estimation of preterm infants’ limb pose from depth images using deep neural networks with densely connected atrous spatial convolutions
Breast DCE-MRI segmentation for lesion detection using Chimp Optimization Algorithm
A bi-objective evolutionary algorithm scheduled on uniform parallel batch processing machines
Empirical analysis of the impact of queries on watermarked relational databases
Attention-based dynamic spatial-temporal graph convolutional networks for traffic speed forecasting
Public transportation business model evaluation with Spherical and Intuitionistic Fuzzy AHP and sensitivity analysis
