Editorial Board
A multi-block clustering algorithm for high dimensional binarized sparse data
ClawGAN: Claw connection-based generative adversarial networks for facial image translation in thermal to RGB visible light
A gradient ascent algorithm based on possibilistic fuzzy C-Means for clustering noisy data
Deep reinforcement learning based scheduling within production plan in semiconductor fabrication
A network analysis of the value migration process on the financial market. The effect of value migration network structure on stock returns
LDAS: Local density-based adaptive sampling for imbalanced data classification
Vehicle routing problem with drones considering time windows
A novel image retrieval strategy based on transfer learning and hand-crafted features for wool fabric
A two-stage location-sensitive and user preference-aware recommendation system
Multi-view Graph Attention Network for Travel Recommendation
Predictive control research for cement burning system using two-cycle coupling optimization
Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction
Cluster-based WSA method to elicit expert knowledge for Bayesian reasoning—Case of parcel delivery with drone
A distributed real-time pricing strategy based on reinforcement learning approach for smart grid
An analytic network process model for risk quantification of mega construction projects
Self-paced learning-assisted regularization reconstruction method with data-adaptive prior for electrical capacitance tomography
Low-latency edge cooperation caching based on base station cooperation in SDN based MEC
Anchor-free YOLOv3 for mass detection in mammogram
Decision tree and artificial immune systems for stroke prediction in imbalanced data
Application of Machine-Learning in Network-Level Road Maintenance Policy-Making: The Case of Iran
gTour: Multiple itinerary recommendation engine for group of tourists
Efficient strategies for incremental mining of frequent closed itemsets over data streams
A hybrid population-based algorithm for the bi-objective quadratic multiple knapsack problem
Adaptive multi-task positive-unlabeled learning for joint prediction of multiple chronic diseases using online shopping behaviors
Virtual Net Propagator: A cloud-based computational tool for systemic decision propagation analysis
A high-precision multi-arithmetic neural circuit for the efficient computation of the new filtered-X Kronecker product APL-NLMS algorithm applied to active noise control
A peer-to-peer market for utility exchanges in Eco-Industrial Parks using automated negotiations
Choquet integral-based intuitionistic fuzzy arithmetic aggregation operators in multi-criteria decision-making
Churn in the mobile gaming field: Establishing churn definitions and measuring classification similarities
Modeling sentimental bias and temporal dynamics for adaptive deep recommendation system
Deep anomaly detection in hyperspectral images based on membership maps and object area filtering
IPMOD: An efficient outlier detection model for high-dimensional medical data streams
Empirical investigation of hyperparameter optimization for software defect count prediction
DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition
Dynamic relevance and interdependent feature selection for continuous data
Design of a combined system based on multi-objective optimization for point and interval forecasting of air pollution
Ranking fuzzy numbers based on relative positions and shape characteristics
A multistage and multiresolution deep convolutional neural network for inverse halftoning
Piracema.io: A rules-based tree model for phishing prediction
Epileptic seizure classification using level-crossing EEG sampling and ensemble of sub-problems classifier
Novel spherical fuzzy distance and similarity measures and their applications to medical diagnosis
Two-dimensional phase lag index image representation of electroencephalography for automated recognition of driver fatigue using convolutional neural network
Towards improved accuracy of UAV-based wheat ears counting: A transfer learning method of the ground-based fully convolutional network
Knowledge, ignorance, and uncertainty: An investigation from the perspective of some differential equations
SP-ant: An ant colony optimization based operator scheduler for high performance distributed stream processing on heterogeneous clusters
A probabilistic hesitant fuzzy Choquet integral-based TODIM method for multi-attribute group decision-making
Deep multi-graph neural networks with attention fusion for recommendation
Centroid mutation-based Search and Rescue optimization algorithm for feature selection and classification
A combination forecasting model based on hybrid interval multi-scale decomposition: Application to interval-valued carbon price forecasting
Optimal truss sizing by modified Rao algorithm combined with feasible boundary search method
Ranking based on optimal points and win-loss-draw multi-criteria decision-making with application to supplier evaluation problem
An intelligent way to predict the building thermal needs: ANNs and optimization
Performance evaluation of outlier detection techniques in production timeseries: A systematic review and meta-analysis
Preprocessing of normative documents for interactive question answering
A new validity clustering index-based on finding new centroid positions using the mean of clustered data to determine the optimum number of clusters
Enhanced the moving object detection and object tracking for traffic surveillance using RBF-FDLNN and CBF algorithm
Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer
Random subspace and random projection nearest neighbor ensembles for high dimensional data
Dilated convolutional neural network based model for bearing faults and broken rotor bar detection in squirrel cage induction motors
A novel quantum inspired genetic algorithm to initialize cluster centers in fuzzy C-means
Fitness peak clustering based dynamic multi-swarm particle swarm optimization with enhanced learning strategy
Novel distance measures for intuitionistic fuzzy sets based on various triangle centers of isosceles triangular fuzzy numbers and their applications
A machine learning model for lapse prediction in life insurance contracts
Multi-classification assessment of bank personal credit risk based on multi-source information fusion
M2VMapper: Malware-to-Vulnerability mapping for Android using text processing
AECasN: An information cascade predictor by learning the structural representation of the whole cascade network with autoencoder
Generalized Zero-Shot Learning using Identifiable Variational Autoencoders
Human activity recognition using temporal convolutional neural network architecture
ComposeInStyle: Music composition with and without Style Transfer
Locating critical slip surfaces of soil slopes with heuristic algorithms: A comparative study
Deep-learning-based solution for data deficient satellite image segmentation
Unsupervised online anomaly detection in Software Defined Network environments
Fine-tuning SalGAN and PathGAN for extending saliency map and gaze path prediction from natural images to websites
DaQAPO: Supporting flexible and fine-grained event log quality assessment
Biometric authentication using a deep learning approach based on different level fusion of finger knuckle print and fingernail
Distributed evidential clustering toward time series with big data issue
An underwater-imaging-model-inspired no-reference quality metric for images in multi-colored environments
An information retrieval benchmarking model of satisficing and impatient users’ behavior in online search environments
Grayscale-inversion and rotation invariant image description using local ternary derivative pattern with dominant structure encoding
AutoLog: Anomaly detection by deep autoencoding of system logs
Design of a modular DSS for public health decision-making in the context of a COVID-19 pandemic landscape
Personalized individual semantics based consensus reaching process for large-scale group decision making with probabilistic linguistic preference relations and application to COVID-19 surveillance
An advanced decision-making model for evaluating manufacturing plant locations using fuzzy inference system
IRUNet for medical image segmentation
Federated optimization via knowledge codistillation
A new clustering algorithm based on a radar scanning strategy with applications to machine learning data
Fraud detection in publicly traded U.S firms using Beetle Antennae Search: A machine learning approach
TEA-SEA: Tiling and scheduling of non-uniform two-level perfectly nested loops using an evolutionary approach
Forecasting the box offices of movies coming soon using social media analysis: A method based on improved Bass models
Communicating delays and adjusted disposition timetables: Modelling and evaluating the impact of incomplete information to passengers
