Editorial Board
Classification of imbalanced hyperspectral images using SMOTE-based deep learning methods
A knowledge-based automated design system for mechanical products based on a general knowledge framework
Inductive Gaussian representation of user-specific information for personalized stress-level prediction
Experimenting with big data computing for scaling data quality-aware query processing
In defense of group fuzzy AHP: A comparison of group fuzzy AHP and group AHP with confidence intervals
One-shot learning for acoustic diagnosis of industrial machines
A long short-term recurrent spatial-temporal fusion for myoelectric pattern recognition
Automatic mass spectra recognition for Ultra High Vacuum systems using multilabel classification
Automatic modulation classification using different neural network and PCA combinations
An efficient multilevel color image thresholding based on modified whale optimization algorithm
A compound of feature selection techniques to improve solar radiation forecasting
A novel plume tracking method in partial 3D diffusive environments using multi-sensor fusion
Fully adaptive dictionary for online correntropy kernel learning using proximal methods
Swarm intelligence based robotic search in unknown maze-like environments
Rice diseases detection and classification using attention based neural network and bayesian optimization
Exploiting inter-frame regional correlation for efficient action recognition
Deep monocular depth estimation leveraging a large-scale outdoor stereo dataset
An improved memetic algebraic differential evolution for solving the multidimensional two-way number partitioning problem
Search and rescue operation using UAVs: A case study
The promises and perils of Automatic Identification System data
Effective multiple pedestrian tracking system in video surveillance with monocular stationary camera
An attention enhanced sentence feature network for subtitle extraction and summarization
Minimum class variance class-specific extreme learning machine for imbalanced classification
A fractional Black-Scholes model with stochastic volatility and European option pricing
Process mining technology selection with spherical fuzzy AHP and sensitivity analysis
Novel expert system to study human stress based on thermographic images
A novel integrating between tool path optimization using an ACO algorithm and interpreter for open architecture CNC system
Robust automated Parkinson disease detection based on voice signals with transfer learning
Disease profiling in pharmaceutical E-commerce
Fuzzy case-based reasoning approach for finding COVID-19 patients priority in hospitals at source shortage period
Information security decisions of firms considering security risk interdependency
Wind turbine fault diagnosis based on ReliefF-PCA and DNN
Testing an instrument to measure the BPMS-KM Support model
Integrated decision support system for rich vehicle routing problems
Automated imbalanced classification via meta-learning
Learning audio sequence representations for acoustic event classification
Squirrel search algorithm for portfolio optimization
A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction
Combination in the theory of evidence via a new measurement of the conflict between evidences
Optimal insurance contract design with “No-claim Bonus and Coverage Upper Bound” under moral hazard
Application of the novel harmony search optimization algorithm for DBSCAN clustering
An integrated probabilistic graphic model and FMEA approach to identify product defects from social media data
Cost-sensitive semi-supervised deep learning to assess driving risk by application of naturalistic vehicle trajectories
SUFMACS: A machine learning-based robust image segmentation framework for COVID-19 radiological image interpretation
An autonomous vehicle interference-free scheduling approach on bidirectional paths in a robotic mobile fulfillment system
Pareto-optimal equilibrium points in non-cooperative multi-objective optimization problems
On the feasibility of using physics-informed machine learning for underground reservoir pressure management
Preference degree of triangular fuzzy numbers and its application to multi-attribute group decision making
Performance analysis of all-optical logical gate using artificial neural network
An adaptive deep learning framework to classify unknown composite power quality event using known single power quality events
Discovery of associated consumer demands: Construction of a co-demanded product network with community detection
A hybrid approach for text document clustering using Jaya optimization algorithm
Overall efficiency of operational process with undesirable outputs containing both series and parallel processes: A SBM network DEA model
Cross domain-based ontology construction via Jaccard Semantic Similarity with hybrid optimization model
Spatiotemporal trajectory clustering: A clustering algorithm for spatiotemporal data
DPP-VSE: Constructing a variable selection ensemble by determinantal point processes
Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem
Nine-Axis IMU-based Extended inertial odometry neural network
Stock market index prediction based on reservoir computing models
Real-time nondestructive fish behavior detecting in mixed polyculture system using deep-learning and low-cost devices
Explaining dimensionality reduction results using Shapley values
Real-time dispatching of air taxis in metropolitan cities using a hybrid simulation goal programming algorithm
Dimensionality reduced robust ordinal regression applied to life cycle assessment
Using back-and-forth translation to create artificial augmented textual data for sentiment analysis models
Multi-level interpretable logic tree analysis: A data-driven approach for hierarchical causality analysis
A robust SVM-based approach with feature selection and outliers detection for classification problems
