Editorial Board
Autonomous bus timetable synchronization for maximizing smooth transfers with passenger assignment
Novel fuzzy matrix swap algorithm for fuzzy directed graph on image processing
NN model-based evolved control by DGM model for practical nonlinear systems
In-situ recognition of hand gesture via Enhanced Xception based single-stage deep convolutional neural network
DeepScene: Scene classification via convolutional neural network with spatial pyramid pooling
Tea chrysanthemum detection under unstructured environments using the TC-YOLO model
DesPatNet25: Data encryption standard cipher model for accurate automated construction site monitoring with sound signals
Energy-efficient project scheduling with supplier selection in manufacturing projects
MDA + RRT: A general approach for resolving the problem of angle constraint for hyper-redundant manipulator
Using multi-objective sparrow search algorithm to establish active distribution network dynamic reconfiguration integrated optimization
A stratified approach to function fingerprinting in program binaries using diverse features
A multi-state network to evaluate network reliability with maximal and minimal capacity vectors by using recursive sum of disjoint products
Statistical and analytical approach of multi-criteria group decision-making based on the correlation coefficient under intuitionistic 2-tuple fuzzy linguistic environment
COVID-19 detection from CT scans using a two-stage framework
VSTAR: Visual Semantic Thumbnails and tAgs Revitalization
An efficient CNN-LSTM model for sentiment detection in #BlackLivesMatter
Email thread sentiment sequence identification using PLSA clustering algorithm
A decision-making framework for selecting an MBSE language–A case study to ship pilotage
Problem-oriented CBR: Finding potential problems from lead user communities
Emotional speaker identification using a novel capsule nets model
A smart sensor-data-driven optimization framework for improving the safety of excavation operations
A novel outlier detection method for monitoring data in dam engineering
Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method
Hierarchical cognize framework for the multi-fault diagnosis of the interconnected system based on domain knowledge and data fusion
Fuzzy data-driven scenario-based robust data envelopment analysis for prediction and optimisation of an electrical discharge machine’s parameters
A systematic comparative evaluation of machine learning classifiers and discrete choice models for travel mode choice in the presence of response heterogeneity
Corrigendum to “Orca predation algorithm: A novel bio-inspired algorithm for global optimization problems” [Expert Syst. Appl. 188 (2022) 116026]
Conformal isotonic separation for binary classification
A First Route Second Assign decomposition to enforce continuity of care in home health care
Pythagorean fuzzy DEMATEL method for supplier selection in sustainable supply chain management
Two-stage robust optimization for perishable inventory management with order modification
A K-Means clustering and SVM based hybrid concept drift detection technique for network anomaly detection
Epileptic seizure detection in EEG using mutual information-based best individual feature selection
Automatic forest fire danger rating calibration: Exploring clustering techniques for regionally customizable fire danger classification
Artificial Neural Network training using metaheuristics for medical data classification: An experimental study
Improving importance estimation in covariate shift for providing accurate prediction error
Fuzzy Rule-Based Prediction of Gold Prices using News Affect
A new cell group clustering algorithm based on validation & correction mechanism
A two-stage deep generative adversarial quality enhancement network for real-world 3D CT images
Fuzzy-soft set approach for ranking the functional requirements of software
Q-learning embedded sine cosine algorithm (QLESCA)
DistilledCTR: Accurate and scalable CTR prediction model through model distillation
Reliability allocation method based on linguistic neutrosophic numbers weight Muirhead mean operator
CorrDetector: A framework for structural corrosion detection from drone images using ensemble deep learning
Features processing for random forest optimization in lung nodule localization
A new representation of scene layout improves saliency detection in traffic scenes
A bipartite graph approach to retrieve similar 3D models with different resolution and types of cardiomyopathies
3D Human Action Recognition: Through the eyes of researchers
Pixel Voting Decoder: A novel decoder that regresses pixel relationships for segmentation
The unbearable hurtfulness of sarcasm
Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances
An intelligent environment for preventing medication errors in home treatment
Imbalanced bearing fault diagnosis under variant working conditions using cost-sensitive deep domain adaptation network
Inductive Graph Representation Learning for fraud detection
A multi-objective optimization approach for the identification of cancer biomarkers from RNA-seq data
A hybrid artificial intelligence model to predict the color coordinates of polyester fabric dyed with madder natural dye
A probabilistic topic model based on short distance Co-occurrences
Geometric SMOTE for regression
Water quality evolution mechanism modeling and health risk assessment based on stochastic hybrid dynamic systems
Noun-based attention mechanism for Fine-grained Named Entity Recognition
Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies
Duplicate product record detection engine for e-commerce platforms
Hybrid filter–wrapper attribute selection with alpha-level fuzzy rough sets
Attention-based skill translation models for expert finding
Fuzzy joint mutual information feature selection based on ideal vector
Computational analysis of histological images from hematoxylin and eosin-stained oral epithelial dysplasia tissue sections
A modern semantic similarity method using multiple resources for enhancing influenza detection
Prioritizing vulnerability patches in large networks
A new optimization algorithm inspired by the quest for the evolution of human society: Human felicity algorithm
Deep learning-based instance segmentation for the precise automated quantification of digital breast cancer immunohistochemistry images
Assistive robotic exoskeleton using recurrent neural networks for decision taking for the robust trajectory tracking
Wind speed forecasting based on model selection, fuzzy cluster, and multi-objective algorithm and wind energy simulation by Betz's theory
