Editorial Board
Monitoring electrical systems data-network equipment by means of Fuzzy and Paraconsistent Annotated Logic
A new scheme for probabilistic forecasting with an ensemble model based on CEEMDAN and AM-MCMC and its application in precipitation forecasting
An influence diagram approach to automating lead time estimation in Agile Kanban project management
Distinguishing between fake news and satire with transformers
A wrapper based binary bat algorithm with greedy crossover for attribute selection
Harshness-aware sentiment mining framework for product review
Efficient high-dimension feature selection based on enhanced equilibrium optimizer
Joint sparse principal component regression with robust property
Modelling and optimization of integrated distributed flow shop scheduling and distribution problems with time windows
Extraction and evaluation of formulaic expressions used in scholarly papers
Efficient ensemble for image-based identification of Pneumonia utilizing deep CNN and SGD with warm restarts
Alleviating data sparsity problem in time-aware recommender systems using a reliable rating profile enrichment approach
Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson’s disease and COVID-19
Anomaly detection based on a granular Markov model
Potential buyer identification and purchase likelihood quantification by mining user-generated content on social media
The power of ensemble learning in sentiment analysis
Fuzzy regression analysis based on M-estimates
Exponential Gradient with Momentum for Online Portfolio Selection
Evaluation of split-and-rephrase output of the knowledge extraction tool in the intelligent tutoring system
Tracking social media during the COVID-19 pandemic: The case study of lockdown in New York State
Type-2 fuzzy logic based transit priority strategy
A framework for feature selection through boosting
Blind robust image watermarking based on adaptive embedding strength and distribution of quantified coefficients
Robustness of transfer learning to image degradation
Customized prediction of attendance to soccer matches based on symbolic regression and genetic programming
FR-Tree: A novel rare association rule for big data problem
PATRON: Exploring respiratory signal derived from non-contact face videos for face anti-spoofing
HIN2Grid: A disentangled CNN-based framework for heterogeneous network learning
Hybrid embedding-based text representation for hierarchical multi-label text classification
Integration of aggressive bound tightening and Mixed Integer Programming for Cost-sensitive feature selection in medical diagnosis
GrAR: A novel framework for Graph Alignment based on Relativity concept
Automatic children’s personality assessment from emotional speech
Investigating Entropy for Extractive Document Summarization
Monitoring multi-domain batch process state based on fuzzy broad learning system
A box-uncertainty in DEA: A robust performance measurement framework
The stochastic decision making framework for long-term multi-objective energy-water supply-ecology operation in parallel reservoirs system under uncertainties
An automatic trading system for fuzzy portfolio optimization problem with sell orders
Network embeddings from distributional thesauri for improving static word representations
Weighted earliness/tardiness parallel machine scheduling problem with a common due date
An improved corona-virus herd immunity optimizer algorithm for network reconfiguration based on fuzzy multi-criteria approach
Designing bus line plans for realistic cases - the Utrecht case study
Knowledge-based decision support for machine component design: A case study
Semantic modelling of Earth Observation remote sensing
The evaluation of dripping behaviors during the manufacturing process based on image processing method: Application to the Ginkgo biloba leaf dripping pills
A deep learning based end-to-end system (F-Gen) for automated email FAQ generation
Utility-preserving differentially private skyline query
An efficient slime mould algorithm for solving multi-objective optimization problems
Using binary classifiers for one-class classification
Interval prediction of short-term traffic speed with limited data input: Application of fuzzy-grey combined prediction model
Deep feature learning and latent space encoding for crop phenology analysis
Automatic identification and evaluation of Fibonacci retracements: Empirical evidence from three equity markets
Geographical discrimination of propolis using dynamic time warping kernel principal components analysis
Machine learning models for forecasting power electricity consumption using a high dimensional dataset
An integrated deep learning and stochastic optimization approach for resource management in team-based healthcare systems
Detection of sleep apnea using Machine learning algorithms based on ECG Signals: A comprehensive systematic review
Service planning oriented efficient object search: A knowledge-based framework for home service robot
Scheduling the covering delivery problem in last mile delivery
IntelliSwAS: Optimizing deep neural network architectures using a particle swarm-based approach
Multi-objective lichtenberg algorithm: A hybrid physics-based meta-heuristic for solving engineering problems
Robust triple extraction with cascade bidirectional capsule network
Proposing suitable data imputation methods by adopting a Stage wise approach for various classes of smart meters missing data – Practical approach
Single and multiple drones detection and identification using RF based deep learning algorithm
Parallel and distributed paradigms for community detection in social networks: A methodological review
Identification of the Choquet integral parameters in the interaction index domain by means of sparse modeling
Interactive fuzzy Bayesian search algorithm: A new reinforced swarm intelligence tested on engineering and mathematical optimization problems
A three-stage approach for modeling multiple time series applied to symbolic quartile data
A speed-up procedure for the hybrid flow shop scheduling problem
A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures
A deceptive reviews detection model: Separated training of multi-feature learning and classification
Order batching and sequencing for minimising the total order completion time in pick-and-sort warehouses
Estimating and tuning adaptive action plans for the control of smart interconnected poultry condominiums
Time-sequencing European options and pricing with deep learning – Analyzing based on interpretable ALE method
LA-HCN: Label-based Attention for Hierarchical Multi-label Text Classification Neural Network
Citation recommendation using semantic representation of cited papers’ relations and content
Heuristic recommendation technique in Internet of Things featuring swarm intelligence approach
COVID19-HPSMP: COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction
Automatic diagnosis for aggressive posterior retinopathy of prematurity via deep attentive convolutional neural network
Combat process simulation and attrition forecasting based on system dynamics and Multi-agent modeling
A literature review of implemented recommendation techniques used in Massive Open online Courses
Spatiotemporal multi-graph convolutional networks with synthetic data for traffic volume forecasting
An automatic arrhythmia classification model based on improved Marine Predators Algorithm and Convolutions Neural Networks
RLCFR: Minimize counterfactual regret by deep reinforcement learning
Density-oriented linear discriminant analysis
Complex Pythagorean fuzzy einstein aggregation operators in selecting the best breed of Horsegram
Semiconductor final testing scheduling using Q-learning based hyper-heuristic
Power prediction for a vessel without recorded data using data fusion from a fleet of vessels
An effective approach to detect the source(s) of out-of-control signals in productive processes by vector error correction (VEC) residual and Hotelling’s T2 decomposition techniques
A fuzzy cluster-validity index based on the topology structure and node attribute in complex networks
Improving the state-of-the-art in the Traveling Salesman Problem: An Anytime Automatic Algorithm Selection
A fairer assessment of DMUs in a generalised two-stage DEA structure
A predictive model for chinese children with developmental dyslexia—Based on a genetic algorithm optimized back-propagation neural network
Promoting smart tourism personalised services via a combination of deep learning techniques
EEG-based motor imagery classification using convolutional neural networks with local reparameterization trick
CloudExpert: An intelligent system for selecting cloud system simulators
Estimating the influence of disruption on highway networks using GPS data
C-Net: A reliable convolutional neural network for biomedical image classification
Predicting clinical scores for Alzheimer’s disease based on joint and deep learning
Convolutional neural network with transfer learning approach for detection of unfavorable driving state using phase coherence image
How and when to stop the co-training process
