Editorial Board
An enhanced matrix completion method based on non-negative latent factors for recommendation system
Distributed quantized state feedback strategy for ensuring predesignated formation tracking performance of networked uncertain nonholonomic multi-robot systems with quantized communication
A hybrid differential evolution algorithm for flexible job shop scheduling with outsourcing operations and job priority constraints
An attention-based convolutional neural network for recipe recommendation
Encoding hieroglyph segments to represent hieroglyphs following the bag of visual word model for retrieval
A unified hierarchical attention framework for sequential recommendation by fusing long and short-term preferences
Recommendation networks of homogeneous products on an E-commerce platform: Measurement and competition effects
An ant colony optimization algorithm with evolutionary experience-guided pheromone updating strategies for multi-objective optimization
Unintended bias evaluation: An analysis of hate speech detection and gender bias mitigation on social media using ensemble learning
ISBFK-means: A new clustering algorithm based on influence space
GRL-LS: A learning style detection in online education using graph representation learning
Low-latency perception in off-road dynamical low visibility environments
A pipeline and comparative study of 12 machine learning models for text classification
HEAVEN: A Hardware-Enhanced AntiVirus ENgine to accelerate real-time, signature-based malware detection
Global and local structure preserving GPU t-SNE methods for large-scale applications
Detecting ditches using supervised learning on high-resolution digital elevation models
Exact and heuristic methods for the berth allocation problem with multiple continuous quays in tidal bulk terminals
Joint enhanced low-rank constraint and kernel rank-order distance metric for low level vision processing
A novel Capsule Neural Network based model for drowsiness detection using electroencephalography signals
Cascaded context enhancement network for automatic skin lesion segmentation
Characterizing the reputation of evaluators using vectors in the object feature space
A dynamic soft sensor of industrial fuzzy time series with propositional linear temporal logic
Mean–variance portfolio optimization with deep learning based-forecasts for cointegrated stocks
Unsupervised learning monitors the carbon-dioxide plume in the subsurface carbon storage reservoir
A new fuzzy tri-objective model for a home health care problem with green ambulance routing and congestion under uncertainty
A driving-style-oriented adaptive control strategy based PSO-fuzzy expert algorithm for a plug-in hybrid electric vehicle
Improving chronic disease management for children with knowledge graphs and artificial intelligence
A new tool for automated transformation of Quadratic Assignment Problem instances to Quadratic Unconstrained Binary Optimisation models
Frost thickness estimation in a domestic refrigerator using acoustic signals and artificial intelligence
A velocity-based butterfly optimization algorithm for high-dimensional optimization and feature selection
Scheduling a single batch processing machine with non-identical two-dimensional job sizes
ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection
Mixed pooling of seasonality for time series forecasting: An application to pallet transport data
Business transaction recommendation for discovering potential business partners using deep learning
Generalization of solar power yield modeling using knowledge transfer
Development of the hybrid MCDM model for evaluating and selecting bucket wheel excavators for the modernization process
A modified fuzzy dual-local information c-mean clustering algorithm using quadratic surface as prototype for image segmentation
Effective memetic algorithm for multilabel feature selection using hybridization-based communication
Newbuilding ship price forecasting by parsimonious intelligent model search engine
The sorted-waste capacitated location routing problem with queuing time: A cross-entropy and simulated-annealing-based hyper-heuristic algorithm
Online metaheuristic algorithm selection
Multi-Level Stacked Regression for predicting electricity consumption of Hot Rolling Mill
Addressing domain shift in neural machine translation via reinforcement learning
Block term decomposition with distinct time granularities for temporal knowledge graph completion
Minimum spanning tree hierarchical clustering algorithm: A new Pythagorean fuzzy similarity measure for the analysis of functional brain networks
Unsupervised feature selection with robust data reconstruction (UFS-RDR) and outlier detection
Verifiable privacy-preserving association rule mining using distributed decryption mechanism on the cloud
Honeyboost: Boosting honeypot performance with data fusion and anomaly detection
Attentive Hierarchical ANFIS with interpretability for cancer diagnostic
Geometry Attention Transformer with position-aware LSTMs for image captioning
Comparing multilayer perceptron and probabilistic neural network for PV systems fault detection
Rolling-horizon approach in solving dynamic multisize multi-trailer container drayage problem
Machine Learning role in clinical decision-making: Neuro-rehabilitation video game
Fused framework for glaucoma diagnosis using Optical Coherence Tomography (OCT) images
Iterative query selection for opaque search engines with pseudo relevance feedback
A patent registration and trading system based on blockchain
DOG-ADTCP: A new feature descriptor for protection of face identification system
A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection
AS-Net: Attention Synergy Network for skin lesion segmentation
Sensor-based modeling of problem-solving in virtual reality manufacturing systems
Multi-stage stochastic optimization of carbon risk management
Cellular traffic prediction with machine learning: A survey
A novel density peaks clustering algorithm based on Hopkins statistic
HOS-FingerCode: Bispectral invariants based contactless multi-finger recognition system using ridge orientation and feature fusion
MFCC-based descriptor for bee queen presence detection
Mack-Net model: Blending Mack’s model with Recurrent Neural Networks
An extension of rule base evidential reasoning in the interval-valued intuitionistic fuzzy setting applied to the type 2 diabetes diagnostic
Real-time wildfire detection with semantic explanations
Metaheuristic based navigation of a reconfigurable robot through narrow spaces with shape changing ability
Attention-based Local Mean K-Nearest Centroid Neighbor Classifier
Reduce unrelated Knowledge through Attribute Collaborative signal for knowledge graph recommendation
Long-term structural response prediction models for concrete structures using weather data, fiber-optic sensing, and convolutional neural network
X-ray image based COVID-19 detection using evolutionary deep learning approach
Development of methods for identifying an appropriate benchmarking peer to establish information security policy
Knowledge Graph Random Neural Networks for Recommender Systems
Automated prostate cancer grading and diagnosis system using deep learning-based Yolo object detection algorithm
Dynamic repair of categorical data with edit rules
An integrated methodology for system-level early fault detection and isolation
A recommendation prediction method based on the estimation of PSD of sampled signals on graph
Power output optimization of electric vehicles smart charging hubs using deep reinforcement learning
Robust enhanced index tracking problem with mixture of distributions
Pre-SMATS: A multi-task learning based prediction model for small multi-stage seasonal time series
MR and stacked GRUs neural network combined model and its application for deformation prediction of concrete dam
A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints
Impact of carbon emission policy combinations on the optimal production-inventory decisions for deteriorating items
Approaching sales forecasting using recurrent neural networks and transformers
A multi-objective worker selection scheme in crowdsourced platforms using NSGA-II
A conformal anomaly detection based industrial fleet monitoring framework: A case study in district heating
The inefficiency of information transmission between stock index futures and the underlying index: Measurements and characteristics
A decision-support tool for policy makers in healthcare supply chains to balance between perceived risk in logistics outsourcing and cost-efficiency
Benefit of preservation technology with promotion and time-dependent deterioration under fuzzy learning
Improving imbalanced classification using near-miss instances
Specification-guided behavior tree synthesis and execution for coordination of autonomous systems
RobIn: A robust interpretable deep network for schizophrenia diagnosis
A modified Kohonen map algorithm for clustering time series data
Detecting technological maturity from bibliometric patterns
A novel decomposition-ensemble forecasting system for dynamic dispatching of smart grid with sub-model selection and intelligent optimization
Communication-efficient federated recommendation model based on many-objective evolutionary algorithm
