Editorial Board
A new PC-PSO algorithm for Bayesian network structure learning with structure priors
Feature weighting methods: A review
Z-relation equation-based decision making
A systematic analysis and guidelines of graph neural networks for practical applications
A probabilistic linguistic dominance score method considering individual semantics and psychological behavior of decision makers
Evaluation of the impact of blockchain technology on supply chain using cognitive maps
Comments on “Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection”
Involvement of controllable lead time and variable demand for a smart manufacturing system under a supply chain management
Smart, comfortable wearable system for recognizing Arabic Sign Language in real-time using IMUs and features-based fusion
Gated relational stacked denoising autoencoder with localized author embedding for global citation recommendation
HAOP-Miner: Self-adaptive high-average utility one-off sequential pattern mining
Personal Protection Equipment detection system for embedded devices based on DNN and Fuzzy Logic
Blockchain for consortium: A practical paradigm in agricultural supply chain system
Multi-attribute group decision-making considering opinion dynamics
A multi-task CNN approach for lung nodule malignancy classification and characterization
Time-series interval prediction under uncertainty using modified double multiplicative neuron network
A recommender model based on strong and weak social Ties: A Long-tail distribution perspective
Investment strategies applied to the Brazilian stock market: A methodology based on Sentiment Analysis with deep learning
A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems
Novel hybrid model based on echo state neural network applied to the prediction of stock price return volatility
Deep4SNet: deep learning for fake speech classification
Automated classification of lung sound signals based on empirical mode decomposition
Parallel efficient global optimization method: A novel approach for time-dependent reliability analysis and applications
Content-based group recommender systems: A general taxonomy and further improvements
A knowledge-based differential covariance matrix adaptation cooperative algorithm
IoT-based hybrid optimized fuzzy threshold ELM model for localization of elderly persons
An efficient method to determine sample size in oversampling based on classification complexity for imbalanced data
A link2vec-based fake news detection model using web search results
Knowledge-based approach for dimensionality reduction solving repetitive combinatorial optimization problems
Eigenvector-based centralities for multilayer temporal networks under the framework of tensor computation
A minority oversampling approach for fault detection with heterogeneous imbalanced data
Opposition-based moth swarm algorithm
Writer Identification using Deep Learning with FAST Keypoints and Harris corner detector
Bi-level programming model and KKT penalty function solution approach for reliable hub location problem
A static semi-kitting strategy system of JIT material distribution scheduling for mixed-flow assembly lines
Fault simulations and diagnostics for a Boeing 747 Auxiliary Power Unit
A novel hybrid differential evolution and symbiotic organisms search algorithm for size and shape optimization of truss structures under multiple frequency constraints
Visual enhanced gLSTM for image captioning
Predicting Ethereum prices with machine learning based on Blockchain information
A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo traffic
Bengali text document categorization based on very deep convolution neural network
Real-time human pose estimation on a smart walker using convolutional neural networks
Evaluation of online emoji description resources for sentiment analysis purposes
An automatic retinal vessel segmentation approach based on Convolutional Neural Networks
Using deep learning neural networks to predict the knowledge economy index for developing and emerging economies
SkillNER: Mining and mapping soft skills from any text
Multimodal sentiment and emotion recognition in hyperbolic space
DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting
A cluster-based approach to predict serious adverse events in surgery
Kinematic adaptive frequency sampling combined spatio temporal features for snow monitoring in aerospace applications
AMFB: Attention based multimodal Factorized Bilinear Pooling for multimodal Fake News Detection
Creating navigation map in semi-open scenarios for intelligent vehicle localization using multi-sensor fusion
Optimization of selective withdrawal systems in hydropower reservoir considering water quality and quantity aspects
Supporting digital content marketing and messaging through topic modelling and decision trees
Motivation detection using EEG signal analysis by residual-in-residual convolutional neural network
On the relevance of the metadata used in the semantic segmentation of indoor image spaces
Solving in real-time the dynamic and stochastic shortest path problem for electric vehicles by a prognostic decision making strategy
Sarcasm Detection using Cognitive Features of Visual Data by Learning Model
Acoustic recognition of noise-like environmental sounds by using artificial neural network
F-RRT*: An improved path planning algorithm with improved initial solution and convergence rate
An integrated decision-making approach for sustainable supplier selection in the chemical industry
Incremental learning using generative-rehearsal strategy for fault detection and classification
Adaptive MLP neural network controller for consensus tracking of Multi-Agent systems with application to synchronous generators
Interval–valued fuzzy and intuitionistic fuzzy–KNN for imbalanced data classification
Deep triplet residual quantization
A new data filling approach based on probability analysis in incomplete soft sets
Gaussian process regression-based learning rate optimization in convolutional neural networks for medical images classification
Multimodal video-text matching using a deep bifurcation network and joint embedding of visual and textual features
Advanced AI-based techniques to predict daily energy consumption: A case study
Chaos and intensification enhanced flower pollination algorithm to solve mechanical design and unconstrained function optimization problems
Short-term prediction of fishing effort distributions by discovering fishing chronology among trawlers based on VMS dataset
A hybrid feedforward neural network algorithm for detecting outliers in non-stationary multivariate time series
An iterated greedy algorithm for the parallel blocking flow shop scheduling problem and sequence-dependent setup times
On the use of summarization and transformer architectures for profiling résumés
The impact of word sense disambiguation on stock price prediction
BIRCHSCAN: A sampling method for applying DBSCAN to large datasets
Artificial neural networks for classifying the time series sensor data generated by medical detection dogs
Big data analytics and machine learning: A retrospective overview and bibliometric analysis
Triple band-notched UWB antenna design using a novel hybrid optimization technique based on DE and NMR algorithms
A Nash bargaining solution for a multi period competitive portfolio optimization problem: Co-evolutionary approach
Knowledge-driven fuzzy consensus model for team formation
A possibilistic fuzzy Gath-Geva clustering algorithm using the exponential distance
Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning
An improved ensemble learning method for exchange rate forecasting based on complementary effect of shallow and deep features
Selection of projects for automotive assembly structures using a hybrid method composed of the group-input compatible, best-worst method for criteria weighting and TrBF-TOPSIS
Automatic stimuli classification from ERP data for augmented communication via Brain–Computer Interfaces
TripMD: Driving patterns investigation via motif analysis
Assessment of a failure prediction model in the European energy sector: A multicriteria discrimination approach with a PROMETHEE based classification
Coarse-refinement dilemma: On generalization bounds for data clustering
Using enhanced crow search algorithm optimization-extreme learning machine model to forecast short-term wind power
Person-dependent seizure detection using statistical CUSUM detector: Preliminary results
Applications of deep learning in stock market prediction: Recent progress
Expert decision-making: A Markovian approach to studying the agency problem
A deep neural network approach to QRS detection using autoencoders
Prediction error distribution with dynamic asymmetry for reversible data hiding
Object oriented time series exploration: Applied to power consumption analysis of embedded systems
Towards zero-shot cross-lingual named entity disambiguation
A novel hesitant-fuzzy-based group decision approach for outsourcing risk
Efficient algorithms for decision making and coverage deployment of connected multi-low-altitude platforms
