Editorial Board
CasSeqGCN: Combining network structure and temporal sequence to predict information cascades
A proportional, integral and derivative differential evolution algorithm for global optimization
Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM
Adaptive stochastic conjugate gradient for machine learning
Recovery center selection for end-of-life automotive lithium-ion batteries using an integrated fuzzy WASPAS approach
Soft computing for nonlinear risk assessment of complex socio-technical systems
A hybrid Dantzig-Wolfe decomposition algorithm for the multi-floor facility layout problem
Commodity demand forecasting using modulated rank reduction for humanitarian logistics planning
Versatile unsupervised anomaly detection method for RTE-based networks
Deep learning based cough detection camera using enhanced features
A model-based approach for in-situ automatic defect detection in welds using ultrasonic phased array
Geometric transformation-based data augmentation on defect classification of segmented images of semiconductor materials using a ResNet50 convolutional neural network
Chinese mineral named entity recognition based on BERT model
A new robust fuzzy clustering framework considering different data weights in different clusters
Supervised learning for maritime search operations: An artificial intelligence approach to search efficiency evaluation
Estimating crowd density with edge intelligence based on lightweight convolutional neural networks
Identification and removal of contaminants in sEMG recordings through a methodology based on Fuzzy Inference and Actor-Critic Reinforcement learning
EOCSA: Predicting prognosis of Epithelial ovarian cancer with whole slide histopathological images
Statistical arbitrage powered by Explainable Artificial Intelligence
Camera model identification based on forensic traces extracted from homogeneous patches
The selection of renewable energy technologies using a hybrid subjective and objective multiple criteria decision making method
Automatic marbling prediction of sliced dry-cured ham using image segmentation, texture analysis and regression
Hierarchical generator of tracking global hypotheses
Multivariate fuzzy neural network interpolation operators and applications to image processing
A CWGAN-GP-based multi-task learning model for consumer credit scoring
Categorization of knowledge graph based recommendation methods and benchmark datasets from the perspectives of application scenarios: A comprehensive survey
DroidMalwareDetector: A novel Android malware detection framework based on convolutional neural network
Advancement of performance measurement system in the humanitarian supply chain
Bridging the gap between complexity and interpretability of a data analytics-based process for benchmarking energy performance of buildings
Forecasting household electricity demand with hybrid machine learning-based methods: Effects of residents’ psychological preferences and calendar variables
A Fuzzy-Multi Attribute Decision Making approach for efficient service selection in cloud environments
Demurrage pattern analysis using logical analysis of data: A case study of the Ulsan Port Authority
Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates
A lightweight approach for network intrusion detection in industrial cyber-physical systems based on knowledge distillation and deep metric learning
Android malware concept drift using system calls: Detection, characterization and challenges
Automatic evaluation of summary on fidelity, conciseness and coherence for text summarization based on semantic link network
Identifying content unaware features influencing popularity of videos on YouTube: A study based on seven regions
Real-time vehicular accident prevention system using deep learning architecture
An integrated location–transportation problem under value-added tax issues in pharmaceutical distribution planning
Odonata identification using Customized Convolutional Neural Networks
Personalized attention-based EEG channel selection for epileptic seizure prediction
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
Within the scope of prediction: Shaping intrinsic rewards via evaluating uncertainty
Community detection using Local Group Assimilation
Multi-objective closed-loop supply chain network design: A novel robust stochastic, possibilistic, and flexible approach
Color image encryption and authentication using dynamic DNA encoding and hyper chaotic system
Driver’s mobile phone usage detection using guided learning based on attention features and prior knowledge
A secure and robust indexing algorithm for distorted fingerprints and latent palmprints
Fault diagnosis in wind turbines based on ANFIS and Takagi–Sugeno interval observers
Fusing frequent sub-sequences in the session-based recommender system
Task offloading of cooperative intrusion detection system based on Deep Q Network in mobile edge computing
Social recommendation via deep neural network-based multi-task learning
An economic analysis of information security decisions with mandatory security standards in resource sharing environments
On removing conflicts for machine learning
Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier
A search algorithm for constrained engineering optimization and tuning the gains of controllers
A neighbour-similarity based community discovery algorithm
A space-embedding strategy for anomaly detection in multivariate time series
SLMS-SSD: Improving the balance of semantic and spatial information in object detection
Detecting fake news by enhanced text representation with multi-EDU-structure awareness
Automatic channel selection using multiobjective X-shaped binary butterfly algorithm for motor imagery classification
Multi-view learning with privileged weighted twin support vector machine
Efficient index-free SimRank similarity search in large graphs by discounting path lengths
Pricing strategy and order quantity allocation with price-sensitive demand in three-echelon supply chain
Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM
Structural virality estimation and maximization in diffusion networks
Long-term trials for improvement of autonomous area coverage with a Tetris inspired tiling self-reconfigurable system
Segmentation of backscattered electron images of geopolymers using convolutional autoencoder network
Design of fuzzy rule-based models with fuzzy relational factorization
An integrated approach of Belief Rule Base and Convolutional Neural Network to monitor air quality in Shanghai
Modeling the debate dynamics of political communication in social media networks
A multigroup fault detection and diagnosis framework for large-scale industrial systems using nonlinear multivariate analysis
Combining deep ensemble learning and explanation for intelligent ticket management
Semi-global triangular centrality measure for identifying the influential spreaders from undirected complex networks
A dual evolutionary bagging for class imbalance learning
Item feature refinement using matrix factorization and boosted learning based user profile generation for content-based recommender systems
Rapid prediction of the ultimate moment of flush endplate connections at elevated temperatures through an artificial neural network
Exploiting Wavelet Recurrent Neural Networks for satellite telemetry data modeling, prediction and control
A sustainable lean production framework based on inverse DEA for mitigating gas flaring
Classification and simulation of process of linear change for grip force at different grip speeds by using supervised learning based on sEMG
Automation of cleaning and ensembles for outliers detection in questionnaire data
Toward flexible and persistent UAV service: Multi-period and multi-objective system design with task assignment for disaster management
DeepData: Machine learning in the marine ecosystems
A tomographic workflow to enable deep learning for X-ray based foreign object detection
Heterogeneity of technological structures between EU countries: An application of complex systems methods to Input–Output Tables
Machine learning with Belief Rule-Based Expert Systems to predict stock price movements
Analytical pricing formulae for variance and volatility swaps with a new stochastic volatility and interest rate model
Ontology based sentiment analysis for fake review detection
Comparison of spectrogram, persistence spectrum and percentile spectrum based image representation performances in drone detection and classification using novel HMFFNet: Hybrid Model with Feature Fusion Network
Constructive and composite heuristics for the 2-stage assembly scheduling problem with periodic maintenance and makespan objective
On the Co-authorship network analysis in the Process Mining research Community: A social network analysis perspective
CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays
SGKT: Session graph-based knowledge tracing for student performance prediction
Adaptive decoupling planning method for the product crowdsourcing design tasks based on knowledge reuse
Topological mapping of complex networks from high slope deformation time series for landslide risk assessment
Default discrimination of credit card: Feature combination selection based on improved FDAF-score
Multivariate feature selection and autoencoder embeddings of ovarian cancer clinical and genetic data
Collaborative multicenter reverse logistics network design with dynamic customer demands
A random walk Grey wolf optimizer based on dispersion factor for feature selection on chronic disease prediction
