Editorial Board
Effective multinational trade forecasting using LSTM recurrent neural network
Truck to door assignment in a shared cross-dock under uncertainty
The AgriQ: A low-cost unmanned aerial system for precision agriculture
Divide and conquer: Ill-light image enhancement via hybrid deep network
Soft sensor development based on kernel dynamic time warping and a relevant vector machine for unequal-length batch processes
A review on image-based approaches for breast cancer detection, segmentation, and classification
A hybrid approach of adaptive wavelet transform, long short-term memory and ARIMA-GARCH family models for the stock index prediction
A multi-objective multi-micro-swarm leadership hierarchy-based optimizer for uncertain flexible job shop scheduling problem with job precedence constraints
A similarity measurement for time series and its application to the stock market
Deep graph convolutional reinforcement learning for financial portfolio management – DeepPocket
Scalable object detection pipeline for traffic cameras: Application to Tfl JamCams
Nested cross-validation when selecting classifiers is overzealous for most practical applications
Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: A case study in the capitals of Brazil
Development and application of slime mould algorithm for optimal economic emission dispatch
Evaluation of human resource information systems using grey ordinal pairwise comparison MCDM methods
Artificial intelligence in ophthalmopathy and ultra-wide field image: A survey
An evaluation of recent neural sequence tagging models in Turkish named entity recognition
A machine learning framework for predicting long-term graft survival after kidney transplantation
Emergence-based self-advising in strong self-organizing systems: A case study in NASA ANTS mission
A local search method based on edge age strategy for minimum vertex cover problem in massive graphs
Nuclear quadrupole resonance response detection using deep neural networks
VMFS: A VIKOR-based multi-target feature selection
A robust multi-response VNS-aiNet approach for solving scheduling problems under unrelated parallel machines environments
Improved political optimizer for complex landscapes and engineering optimization problems
A bi-objective reliable path-finding algorithm for battery electric vehicle routing
An efficient method to minimize cross-entropy for selecting multi-level threshold values using an improved human mental search algorithm
Automated EEG signal classification using chaotic local binary pattern
Enhancing store layout decision with agent-based simulations of consumers’ density
Condition-CNN: A hierarchical multi-label fashion image classification model
Fog computing based information classification in sensor cloud-agent approach
A robust home health care routing-scheduling problem with temporal dependencies under uncertainty
An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network
An improved GRASP method for the multiple row equal facility layout problem
Can machine learning classification methods improve the prediction of leaf wetness in North-Western Europe compared to established empirical methods?
Orthogonal variance decomposition based feature selection
Robust worst-practice interval DEA with non-discretionary factors
Automatic construction of RDF with web tables
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes
A decision support system for automating document retrieval and citation screening
A machine learning approach for forecasting hierarchical time series
AutomaticAI – A hybrid approach for automatic artificial intelligence algorithm selection and hyperparameter tuning
On clustering categories of categorical predictors in generalized linear models
A novel mathematical programming model for multi-mode project portfolio selection and scheduling with flexible resources and due dates under interval-valued fuzzy random uncertainty
A hybrid algorithm on the vessel routing optimization for marine debris collection
A heterogeneous GRA-CBR-based multi-attribute emergency decision-making model considering weight optimization with dual information correlation
Transition-state replicator dynamics
Differential privacy trajectory data protection scheme based on R-tree
An empirical study of data intrinsic characteristics that make learning from imbalanced data difficult
An optimized Generative Adversarial Network based continuous sign language classification
Investigation of butterfly optimization and gases Brownian motion optimization algorithms for optimal multilevel image thresholding
Multi-WRNN model for pricing the crude oil futures market
A novel trilinear deep residual network with self-adaptive Dropout method for short-term load forecasting
Scene image representation by foreground, background and hybrid features
A fuzzy weighted influence non-linear gauge system with application to advanced technology assessment at NASA
Advancement of the search process of salp swarm algorithm for global optimization problems
Intelligent approach to automated star-schema construction using a knowledge base
A Hybrid Approach for Parkinson’s Disease diagnosis with Resonance and Time-Frequency based features from Speech signals
People re-identification using depth and intensity information from an overhead camera
Comparative study of hyperspectral image classification by multidimensional Convolutional Neural Network approaches to improve accuracy
Knowledge discovery and visualisation framework using machine learning for music information retrieval from broadcast radio data
Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection
HiLAM-aligned kernel discriminant analysis for text-dependent speaker verification
Meta-heuristic algorithms to truss optimization: Literature mapping and application
A solution method for the shared resource-constrained multi-shortest path problem
Detecting cryptocurrency pump-and-dump frauds using market and social signals
Negative emotions detection on online mental-health related patients texts using the deep learning with MHA-BCNN model
A DEA evaluation of U.S. States’ healthcare systems in terms of their birth outcomes
Deep multi-scale separable convolutional network with triple attention mechanism: A novel multi-task domain adaptation method for intelligent fault diagnosis
DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments
Stochastic Local Search for the Direct Aperture Optimisation Problem
Stable first-arrival picking through adaptive threshold determination and spatial constraint clustering
A fast technique to detect copy-move image forgery with reflection and non-affine transformation attacks
An ordinal CNN approach for the assessment of neurological damage in Parkinson’s disease patients
A mixed wholesale-option-contract to fix the demand imbalance between substitutable air cargo routes: A cooperative game approach
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes
Optimizing S-box generation based on the Adaptive Agent Heroes and Cowards Algorithm
Artificial datasets for hierarchical classification
How to select and weight context dimensions conditions for context-aware recommendation?
Electoral forecasting using a novel temporal attenuation model: Predicting the US presidential elections
Employee sentiment index: Predicting stock returns with online employee data
ELM based two-handed dynamic Turkish Sign Language (TSL) word recognition
Deep neural networks for human’s fall-risk prediction using force-plate time series signal
Using residual images with BSIF for iris liveness detection
A path-based relation networks model for knowledge graph completion
Modelling cloud service latency and availability using a deep learning strategy
A parallel metaheuristic approach for ensemble feature selection based on multi-core architectures
S-FPN: A shortcut feature pyramid network for sea cucumber detection in underwater images
Multi-objective symbolic regression for physics-aware dynamic modeling
How much do the central bank announcements matter on financial market? Application of the rule-based trading system approach
Pattern recognition in financial surveillance with the ARMA-GARCH time series model using support vector machine
Vision-based hand gesture recognition using deep learning for the interpretation of sign language
