Editorial Board
An agent-based infrastructure for assessing the performance of planning approaches for semiconductor supply chains
Integrated inventory and transportation management with stochastic demands: A scenario-based economic model predictive control approach
IRI: An intelligent resistivity inversion framework based on fuzzy wavelet neural network
CODH++: Macro-semantic differences oriented instance segmentation network
A simple modelling strategy for integer order and fractional order interval type-2 fuzzy PID controllers with their simulation and real-time implementation
A framework of active learning and semi-supervised learning for lithology identification based on improved naive Bayes
Transformer-based attention network for stock movement prediction
Multi-attention mutual information distributed framework for few-shot learning
PictoBERT: Transformers for next pictogram prediction
Outperforming algorithmic trading reinforcement learning systems: A supervised approach to the cryptocurrency market
ISeeU2: Visually interpretable mortality prediction inside the ICU using deep learning and free-text medical notes
Generalized techniques for solving intuitionistic fuzzy multi-objective non-linear optimization problems
Multi-source transfer learning guided ensemble LSTM for building multi-load forecasting
Multi-attention graph neural networks for city-wide bus travel time estimation using limited data
Classification of non-Hodgkin lymphomas based on sample entropy signatures
Modal decomposition-based hybrid model for stock index prediction
A reusable discounting framework under jump-diffusion process
A multimodal framework for the evaluation of patients’ weaknesses, supporting the design of customised AAL solutions
Customer price sensitivities in competitive insurance markets
A diversity preservation method for expensive multi-objective combinatorial optimization problems using Novel-First Tabu Search and MOEA/D
Algorithmic Trading: The Intelligent Trading Systems and Its Impact on Trade Size
A novel XGBoost extension for credit scoring class-imbalanced data combining a generalized extreme value link and a modified focal loss function
FISEVAL-A novel project evaluation approach using fuzzy logic: The paradigm of the i-Treasures project
A novel Sequence-Aware personalized recommendation system based on multidimensional information
Convolution neural network based polycrystalline silicon photovoltaic cell linear defect diagnosis using electroluminescence images
A knowledge-driven constructive heuristic algorithm for the distributed assembly blocking flow shop scheduling problem
A multi-input multi-label claims channeling system using insurance-based language models
Regression random machines: An ensemble support vector regression model with free kernel choice
A multi-head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks
A sustainable flexible manufacturing–remanufacturing model with improved service and green investment under variable demand
High-end equipment: An improved two-sided based S&M matching and a novel Pareto refining method considering consistency
Identification of endometrial tuberculosis in infertility using Non-Subsampled Contourlet based convolution neural network
Lens-imaging learning Harris hawks optimizer for global optimization and its application to feature selection
DeepLib: Machine translation techniques to recommend upgrades for third-party libraries
A cost-effective approach for mining near-optimal top-k patterns
Modified swarm intelligence algorithms for the pharmacy duty scheduling problem
Support decision system based on invoices data mining to estimate commercial pent-up demands
Coverage area maximization with parallel simulated annealing
Integration of fuzzy logic and a convolutional neural network in three-way decision-making
2DLIF-PROMETHEE based on the hybrid distance of 2-dimension linguistic intuitionistic fuzzy sets for multiple attribute decision making
DSRD-Net: Dual-stream residual dense network for semantic segmentation of instruments in robot-assisted surgery
A novel attention-based deep learning method for post-disaster building damage classification
Topic model-based recommender systems and their applications to cold-start problems
“Why tag me?”: Detecting motivations of comment tagging in Instagram
Intensification-driven local search for the traveling repairman problem with profits
A hybrid metaheuristic algorithm based on iterated local search for vehicle routing problem with simultaneous pickup and delivery
Consistency and consensus driven for hesitant fuzzy linguistic decision making with pairwise comparisons
Conversion paths of online consumers: A sequential pattern mining approach
Product failure detection for production lines using a data-driven model
Range-aided ego-centric collaborative pose estimation for multiple robots
Case-based reasoning system for fault diagnosis of aero-engines
Mexican traffic sign detection and classification using deep learning
Modified metaheuristic algorithms to design a closed-loop supply chain network considering quantity discount and fixed-charge transportation
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows
Performance analysis of fingerprinting indoor positioning methods with BLE
Hybrid fuzzy multiple SVM classifier through feature fusion based on convolution neural networks and its practical applications
A novel classification approach based on context connotative network (CCNet): A case of construction site accidents
A conceptual design decision approach by integrating rough Bayesian network and game theory under uncertain behavior selections
Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging
Unsupervised novelty pattern classification of shmoo plots for visualizing the test results of integrated circuits
A bottleneck detection approach for separating overlapped cells
Fair-AdaBoost: Extending AdaBoost method to achieve fair classification
Learning to classify relations between entities from noisy data - A meta instance reweighting approach
A decision support model for estimating participation-oriented designs of crowdsourcing platforms based on quality function deployment
China’s commercial bank stock price prediction using a novel K-means-LSTM hybrid approach
Instant customer base analysis in the financial services sector
An extended multi-criteria group decision-making method with psychological factors and bidirectional influence relation for emergency medical supplier selection
An integrated optimization and machine learning approach to predict the admission status of emergency patients
Graph-based modeling using association rule mining to detect influential users in social networks
PSRMTE: Paper submission recommendation using mixtures of transformer
Riemannian submanifold framework for log-Euclidean metric learning on symmetric positive definite manifolds
A novel approach for text categorization by applying hybrid genetic bat algorithm through feature extraction and feature selection methods
Efficient bi-traits identification using CEDRNN classifier for forensic applications
Low-rank dictionary learning for unsupervised feature selection
Deep attention ConvLSTM-based adaptive fusion of clear-sky physical prior knowledge and multivariable historical information for probabilistic prediction of photovoltaic power
An extreme learning machine based virtual sample generation method with feature engineering for credit risk assessment with data scarcity
MAHE-IM: Multiple Aggregation of Heterogeneous Relation Embedding for Influence Maximization on Heterogeneous Information Network
BiCuDNNLSTM-1dCNN — A hybrid deep learning-based predictive model for stock price prediction
A novel hierarchical hyper-parameter search algorithm based on greedy strategy for wind turbine fault diagnosis
A Spatiotemporal Graph Neural Network for session-based recommendation
A novel technique to identify AIS transmissions from vessels which attempt to obscure their position by switching their AIS transponder from normal transmit power mode to low transmit power mode
When stakes are high: Balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates
The role of influential nodes and their influence domain in community detection: An approximate method for maximizing modularity
GA-GRGAT: A novel deep learning model for high-speed train axle temperature long term forecasting
Comparative analysis of deep learning based building extraction methods with the new VHR Istanbul dataset
A survey on AI and decision support systems in psychiatry – Uncovering a dilemma
HASA: Hybrid architecture search with aggregation strategy for echinococcosis classification and ovary segmentation in ultrasound images
Deep cepstrum-wavelet autoencoder: A novel intelligent sonar classifier
DMDF-Net: Dual multiscale dilated fusion network for accurate segmentation of lesions related to COVID-19 in lung radiographic scans
Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect
Learning to select goals in Automated Planning with Deep-Q Learning
GCNFusion: An efficient graph convolutional network based model for information diffusion
Immersive technology-enabled digital transformation in transportation fields: A literature overview
An adaptive Grey-Markov model based on parameters Self-optimization with application to passenger flow volume prediction
Multidimensional nearest neighbors classification based system for incomplete lip print identification
A robust optimization approach for disassembly assembly routing problem under uncertain yields
A new weakly supervised learning approach for real-time iron ore feed load estimation
A damage detection system for inner bore of electromagnetic railgun launcher based on deep learning and computer vision
SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN
