Editorial Board
A novel top-n recommendation method for multi-criteria collaborative filtering
An Approach Driven Ranking System for Risky Gaits
Deep learning for proximal soil sensor development towards smart irrigation
DSS: A hybrid deep model for fake news detection using propagation tree and stance network
Applying ontology learning and multi-objective ant colony optimization method for focused crawling to meteorological disasters domain knowledge
Time series forecasting by the novel Gaussian process wavelet self-join adjacent-feedback loop reservoir model
Stock return system identification and multiple adaptive forecast algorithm for price trend forecasting
A hybrid multidimensional Recommender System for radio programs
GRA-GAN: Generative adversarial network for image style transfer of Gender, Race, and age
Coupled social media content representation for predicting individual socioeconomic status
A CNN-based multi-task framework for weather recognition with multi-scale weather cues
AENAR: An aspect-aware explainable neural attentional recommender model for rating predication
Logic-guided neural network for predicting steel-concrete interfacial behaviors
A novel algorithm for mask detection and recognizing actions of human
Finger-vein presentation attack detection using depthwise separable convolution neural network
Improved Sparse Representation based Robust Hybrid Feature Extraction Models with Transfer and Deep Learning for EEG Classification
Voice spoofing detector: A unified anti-spoofing framework
Reaction trend system with GARCH quantiles as action points
Fabric defect detection based on completed local quartet patterns and majority decision algorithm
DoME: A deterministic technique for equation development and Symbolic Regression
Semantic modeling and analysis of complex data-aware processes and their executions
Manufacturer’s selling mode choice in a platform-oriented dual channel supply chain
A novel group BWM approach to evaluate the implementation criteria of blockchain technology in the automotive industry supply chain
An expert recommendation model to electric projects based on KG2E and collaborative filtering
Prediction and modelling online reviews helpfulness using 1D Convolutional Neural Networks
A comprehensive analysis of grid-based wind turbine layout using an efficient binary invasive weed optimization algorithm with levy flight
LMIs-based stability analysis and fuzzy-logic controller design for networked systems with sector nonlinearities: Application in tunnel diode circuit
A dual framework for implicit and explicit emotion recognition: An ensemble of language models and computational linguistics
Delay-sensitive tasks offloading in multi-access edge computing
Artificial intelligence-based decision support model for new drug development planning
Cost-based analysis and optimization of distributed generations and shunt capacitors incorporated into distribution systems with nonlinear demand modeling
Multi-objective reliability redundancy allocation using MOPSO under hesitant fuzziness
Towards monocular vision-based autonomous flight through deep reinforcement learning
Intelligent rubbing fault identification using multivariate signals and a multivariate one-dimensional convolutional neural network
Benchmarking with nonconvex production possibility set through data envelopment analysis: An application to China’s transportation system
Human activity recognition using wearable sensors by heterogeneous convolutional neural networks
Deriving and validating emotional dimensions from textual data
Deepluenza: Deep learning for influenza detection from Twitter
A linguistic Pythagorean hesitant fuzzy MULTIMOORA method for third-party reverse logistics provider selection of electric vehicle power battery recycling
A mixed integer linear programming model and a basic variable neighbourhood search algorithm for the repatriation scheduling problem
Deep flight track clustering based on spatial–temporal distance and denoising auto-encoding
Large scale prediction of sick leave duration with nonlinear survival analysis algorithms
Interactive defect segmentation in X-Ray images based on deep learning
Clustering interval-valued data with adaptive Euclidean and City-Block distances
PsyCredit: An interpretable deep learning-based credit assessment approach facilitated by psychometric natural language processing
Effects of loss function and data sparsity on smooth manifold extraction with deep model
The detection of saffron adulterants using a deep neural network approach based on RGB images taken under uncontrolled conditions
Bipartite network embedding with Symmetric Neighborhood Convolution
A collaborative deep multitask learning network for face image compliance to ISO/IEC 19794-5 standard
An enhanced fuzzy-based clustering protocol with an improved shuffled frog leaping algorithm for WSNs
Feature extraction of auto insurance size of loss data using functional principal component analysis
A-LugSeg: Automatic and explainability-guided multi-site lung detection in chest X-ray images
Intelligent software debugging: A reinforcement learning approach for detecting the shortest crashing scenarios
Niching chimp optimization for constraint multimodal engineering optimization problems
An ensemble of Xgboost models for detecting disorders of consciousness in brain injuries through EEG connectivity
An efficient genetic programming approach to design priority rules for resource-constrained project scheduling problem
LWMEO: An efficient equilibrium optimizer for complex functions and engineering design problems
SVNN-ANFIS approach for stability evaluation of open-pit mine slopes
PLE-Net: Automatic power line extraction method using deep learning from aerial images
Weighted score-driven fuzzy clustering of time series with a financial application
LSTM network as a screening tool to detect moderate traumatic brain injury from resting-state electroencephalogram
Automatic classification of atrial fibrillation from short single-lead ECG recordings using a Hybrid Approach of Dual Support Vector Machine
Mobile robot path planning using fuzzy enhanced improved Multi-Objective particle swarm optimization (FIMOPSO)
Enhanced sine cosine algorithm with crossover: A comparative study and empirical analysis
DMDE: Diversity-maintained multi-trial vector differential evolution algorithm for non-decomposition large-scale global optimization
Learning-based joint optimization of mode selection and transmit power control for D2D communication underlaid cellular networks
Adversarial attacks and defenses on AI in medical imaging informatics: A survey
Capability-based machine layout with a matheuristic-based approach
Novel hybrid ensemble credit scoring model with stacking-based noise detection and weight assignment
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications
Global-prior-guided fusion network for salient object detection
A modified harmony search for the T-single machine scheduling problem with variable and flexible maintenance
Adjusted Iterated Greedy for the optimization of additive manufacturing scheduling problems
Robust classification via clipping-based kernel recursive least lncosh of error
An efficient dynamic service provisioning mechanism in fog computing environment: A learning automata approach
Worker’s physical fatigue classification using neural networks
On technical trading and social media indicators for cryptocurrency price classification through deep learning
Classification of motor faults based on transmission coefficient and reflection coefficient of omni-directional antenna using DCNN
Structural uncertainty quantification with partial information
An integrated forecasting system based on knee-based multi-objective optimization for solar radiation interval forecasting
A filtering genetic programming framework for stochastic resource constrained multi-project scheduling problem under new project insertions
Normalization method for quantitative and qualitative attributes in multiple attribute decision-making problems
A review of recent approaches on wrapper feature selection for intrusion detection
Risk-sensitive policies for portfolio management
A multi-objective memetic algorithm for query-oriented text summarization: Medicine texts as a case study
AILS: A budget-constrained adaptive iterated local search for workflow scheduling in cloud environment
Modified artificial bee colony algorithm with differential evolution to enhance precision and convergence performance
Chaotic and Paillier secure image data sharing based on blockchain and cloud security
One emoji, many meanings: A corpus for the prediction and disambiguation of emoji sense
An intelligent early warning system of analyzing Twitter data using machine learning on COVID-19 surveillance in the US
A systematic review on computer vision-based parking lot management applied on public datasets
SCL—Segmentation–Classification combined Loss for surface defect detection
A discrete learning fruit fly algorithm based on knowledge for the distributed no-wait flow shop scheduling with due windows
Designing a steady-state experimental dataset for predicting transient NOx emissions of diesel engines via deep learning
PG-explorer: Resource Description Framework data exploration with property graphs
Traveling Salesman Problem with neighborhoods on a sphere in reflectance transformation imaging scenarios
Path-relinking with tabu search for the capacitated centered clustering problem
Join optimization for inverted index technique on relational database management systems
Less is more: Selecting the right benchmarking set of data for time series classification
