Editorial Board
Novel large scale brain network models for EEG epileptic pattern generations
Forecasting US dollar exchange rate movement with computational models and human behavior
On solving large data matrix problems in Fuzzy AHP
Tackling unsupervised multi-source domain adaptation with optimism and consistency
Mutation-driven grey wolf optimizer with modified search mechanism
Generalized multi-view learning based on generalized eigenvalues proximal support vector machines
Sparse fuzzy classification for profiling online users and relevant user-generated content
Real-time embedded eye detection system
Dynamic imputation for improved training of neural network with missing values
On flexible Statistical Process Control with Artificial Intelligence: Classification control charts
Forecasting the overnight return direction of stock market index combining global market indices: A multiple-branch deep learning approach
Efficient active contour model for medical image segmentation and correction based on edge and region information
Tool based on artificial neural networks to obtain cooling capacity of hermetic compressors through tests performed in production lines
A matrix cube-based estimation of distribution algorithm for the energy-efficient distributed assembly permutation flow-shop scheduling problem
A cooperative coevolutionary algorithm approach to the no-wait job shop scheduling problem
A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming
Detecting rocks in challenging mining environments using convolutional neural networks and ellipses as an alternative to bounding boxes
Time series classification based on complex network
A novel autonomous staircase cleaning system with robust 3D-Deep Learning-based perception technique for Area-Coverage
CCSA: Cellular Crow Search Algorithm with topological neighborhood shapes for optimization
Structure-aware deep learning for chronic middle ear disease
Are CDS spreads predictable during the Covid-19 pandemic? Forecasting based on SVM, GMDH, LSTM and Markov switching autoregression
Decentralizing construction AI applications using blockchain technology
An efficient harmonic estimator design based on Augmented Crow Search Algorithm in noisy environment
Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm
Frequent pattern mining from multivariate time series data
Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision
The impact of gradually replacing fossil fuel-powered vehicles with electric ones: A bi-objective optimisation approach
A hybrid ARIMA–WNN approach to model vehicle operating behavior and detect unhealthy states
Wind farm incorporated optimal power flow solutions through multi-objective horse herd optimization with a novel constraint handling technique
Hybrid Intrusion Detection using MapReduce based Black Widow Optimized Convolutional Long Short-Term Memory Neural Networks
A representation coefficient-based k-nearest centroid neighbor classifier
Detection of intra-family coronavirus genome sequences through graphical representation and artificial neural network
A high-quality voxel 3D reconstruction system for large scenes based on the branch and bound method
An optimized nonlinear grey Bernoulli prediction model and its application in natural gas production
