Editorial Board
Multi-objective truss structural optimization considering natural frequencies of vibration and global stability
Trust modeling based on probabilistic linguistic term sets and the MULTIMOORA method
Multi-temperature simulated annealing for optimizing mixed-blocking permutation flowshop scheduling problems
Collaborative multiple centers fresh logistics distribution network optimization with resource sharing and temperature control constraints
CNN-based multilingual handwritten numeral recognition: A fusion-free approach
Using positional sequence patterns to estimate the selectivity of SQL LIKE queries
Discovery and diagnosis of wrong SPARQL queries with ontology and constraint reasoning
In-air signature verification system using Leap Motion
Automatic text summarization: A comprehensive survey
Hierarchical visual localization for visually impaired people using multimodal images
A novel F-SVM based on FOA for improving SVM performance
Kernel based tabu search for the Set-union Knapsack Problem
A novel multi-stage ensemble model with enhanced outlier adaptation for credit scoring
An improved grammatical evolution approach for generating perturbative heuristics to solve combinatorial optimization problems
Development of a consumer financial goals ontology for use with FinTech applications for improving financial capability
Cross-lingual learning for text processing: A survey
An empirical analysis of constraint handling on evolutionary multi-objective algorithms for the Environmental/Economic Load Dispatch problem
The user-knowledge crowdsourcing task allocation integrated decision model and genetic matrix factorization algorithm
Preventing the generation of inconsistent sets of crisp classification rules
Bezier Search Differential Evolution Algorithm for numerical function optimization: A comparative study with CRMLSP, MVO, WA, SHADE and LSHADE
The multi-depot open location routing problem with a heterogeneous fixed fleet
Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development
Beetle antenna strategy based grey wolf optimization
Structural representation learning for network alignment with self-supervised anchor links
High-order Markov-switching portfolio selection with capital gain tax
Novel Artificial Immune Networks-based optimization of shallow machine learning (ML) classifiers
An improved Jaya optimization algorithm with Lévy flight
Player Identification in Hockey Broadcast Videos
Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensemble
DeepSigns: A predictive model based on Deep Learning for the early detection of patient health deterioration
An improved ELM-based and data preprocessing integrated approach for phishing detection considering comprehensive features
Self-driving cars: A survey
A survey of research hotspots and frontier trends of recommendation systems from the perspective of knowledge graph
A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing
Ensemble mutation-driven salp swarm algorithm with restart mechanism: Framework and fundamental analysis
A hybrid method of link prediction in directed graphs
Hierarchical and lateral multiple timescales gated recurrent units with pre-trained encoder for long text classification
A fuzzy inference based scenario building in two-stage optimization framework for sustainable recycling supply chain redesign
Waiting strategy for the vehicle routing problem with simultaneous pickup and delivery using genetic algorithm
Multi-objective symbiotic organism search algorithm for optimal feature selection in brain computer interfaces
Total carbon emissions minimization in connected and automated vehicle routing problem with speed variables
A new multi-objective optimization algorithm combined with opposition-based learning
Data augmentation for skin lesion using self-attention based progressive generative adversarial network
Estimation of disparity maps through an evolutionary algorithm and global image features as descriptors
BIDI: A classification algorithm with instance difficulty invariance
A survey of the state-of-the-art of optimisation methodologies in school timetabling problems
3D automatic levels propagation approach to breast MRI tumor segmentation
Portfolio optimization with return prediction using deep learning and machine learning
#stayhome to contain Covid-19: Neuro-SIR – Neurodynamical epidemic modeling of infection patterns in social networks
Learning ladder neural networks for semi-supervised node classification in social network
Weakly supervised power line detection algorithm using a recursive noisy label update with refined broken line segments
An effective Progressive Hedging algorithm for the two-layers time window assignment vehicle routing problem in a stochastic environment
Loss rate forecasting framework based on macroeconomic changes: Application to US credit card industry
Post-hoc explanation of black-box classifiers using confident itemsets
A benchmark of machine learning approaches for credit score prediction
Sequence-based clustering applied to long-term credit risk assessment
Utilizing historical data for corporate credit rating assessment
Analysis of factors that influence the performance of biometric systems based on EEG signals
A cooperative system for metaheuristic algorithms
DENS-ECG: A deep learning approach for ECG signal delineation
Multi-objective evolutionary clustering with complex networks
Analysis and experimental evaluation of the Needleman-Wunsch algorithm for trajectory comparison
Extending latent semantic analysis to manage its syntactic blindness
A comprehensive comparison of end-to-end approaches for handwritten digit string recognition
