Editorial Board
Mexican sign language segmentation using color based neuronal networks to detect the individual skin color
Detection and tracking of the trajectories of dynamic UAVs in restricted and cluttered environment
A neighborhood information utilization fireworks algorithm and its application to traffic flow prediction
DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification
A cultural heritage framework using a Deep Learning based Chatbot for supporting tourist journey
A modified Marine Predator Algorithm based on opposition based learning for tracking the global MPP of shaded PV system
Multi-criteria decision analysis for non-conformance diagnosis: A priority-based strategy combining data and business rules
Process-extraction-based text similarity measure for emergency response plans
Neural network with fixed noise for index-tracking portfolio optimization
A novel self-learning feature selection approach based on feature attributions
A novel extreme learning machine based kNN classification method for dealing with big data
Kernel-based framework to estimate deformations of pneumothorax lung using relative position of anatomical landmarks
Probabilistic modeling approach for interpretable inference and prediction with data for sepsis diagnosis
Solving traveling salesman problem using hybridization of rider optimization and spotted hyena optimization algorithm
An efficient deep Convolutional Neural Network based detection and classification of Acute Lymphoblastic Leukemia
Extended computational formulations for tolerance-based sensitivity analysis of uncertain transportation networks
Deep-learning-based recognition of symbols and texts at an industrially applicable level from images of high-density piping and instrumentation diagrams
A hierarchical guidance strategy assisted fruit fly optimization algorithm with cooperative learning mechanism
G-SOMO: An oversampling approach based on self-organized maps and geometric SMOTE
A multi-stage data mining approach for liquid bulk cargo volume analysis based on bill of lading data
Multi-objective distributed reentrant permutation flow shop scheduling with sequence-dependent setup time
Learning deep relevance couplings for ad-hoc document retrieval
DSANet: Dilated spatial attention for real-time semantic segmentation in urban street scenes
Semi-supervised anomaly detection for visual quality inspection
A new optimization method based on COOT bird natural life model
Bhattacharyya distance based concept drift detection method for evolving data stream
Limitation and optimization of inputs and outputs in the inverse data envelopment analysis under variable returns to scale
Towards asymmetric uncertainty modeling in designing General Type-2 Fuzzy classifiers for medical diagnosis
Fuzzy Inference System Tree with Particle Swarm Optimization and Genetic Algorithm: A novel approach for PM10 forecasting
Hybrid filter-wrapper feature selection using whale optimization algorithm: A multi-objective approach
An interval valued neutrosophic decision-making structure for sustainable supplier selection
A web-based decision support system for examination timetabling
Improving recommender systems via a Dual Training Error based Correction approach
A group decision making method to manage internal and external experts with an application to anti-lung cancer drug selection
Multi-view content-context information bottleneck for image clustering
Modified multi-objective evolutionary programming algorithm for solving project scheduling problems
PLDLS: A novel parallel label diffusion and label Selection-based community detection algorithm based on Spark in social networks
Evaluation of software development projects based on integrated Pythagorean fuzzy methodology
Detecting conflicts in collaborative learning through the valence change of atomic interactions
A preliminary analysis of AI based smartphone application for diagnosis of COVID-19 using chest X-ray images
Deterministic Multi-kernel based extreme learning machine for pattern classification
Social media-based opinion retrieval for product analysis using multi-task deep neural networks
Novel correlation coefficient between hesitant fuzzy sets with application to medical diagnosis
Group recommender system based on genre preference focusing on reducing the clustering cost
Developing an ANN-based early warning model for airborne particulate matters in river banks areas
Vehicle classification using a real-time convolutional structure based on DWT pooling layer and SE blocks
A Software Defined Network information security risk assessment based on Pythagorean fuzzy sets
Analyzing bank “black boxes”: A two-stage Nerlovian profit inefficiency model
Car crash detection using ensemble deep learning and multimodal data from dashboard cameras
Application of small sample virtual expansion and spherical mapping model in wind turbine fault diagnosis
Dynamic group optimization algorithm with a mean–variance search framework
Time series classification via topological data analysis
An uncertainty-induced axiomatic foundation of the analytic hierarchy process and its implication
Combining max-pooling and wavelet pooling strategies for semantic image segmentation
Modelling and solving profit-oriented U-shaped partial disassembly line balancing problem
Share price prediction of aerospace relevant companies with recurrent neural networks based on PCA
Image inpainting network for filling large missing regions using residual gather
Assessment of the handcart pushing and pulling safety by using deep learning 3D pose estimation and IoT force sensors
A framework for 3D tracking of frontal dynamic objects in autonomous cars
MORec: At the crossroads of context-aware and multi-criteria decision making for online music recommendation
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network
New benchmark algorithm for hybrid flowshop scheduling with identical machines
TPCNN: Two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach
A new biologically inspired global optimization algorithm based on firebug reproductive swarming behaviour
Human decision making through an entropic framework
An integrated contract manufacturer selection and product quality optimization methodology for the mechanical manufacturing industry
Learning attention embeddings based on memory networks for neural collaborative recommendation
A feature selection method via analysis of relevance, redundancy, and interaction
Exploring the effects of different Clustering Methods on a News Recommender System
3D segmentation of neuronal nuclei and cell-type identification using multi-channel information
Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels
Explainable artificial intelligence for manufacturing cost estimation and machining feature visualization
Integrating Elman recurrent neural network with particle swarm optimization algorithms for an improved hybrid training of multidisciplinary datasets
An exact routing optimization model for bio-waste collection in the Brussels Capital Region
Budget optimized dynamic virtual machine provisioning in hybrid cloud using fuzzy analytic hierarchy process
Generalizing state-of-the-art object detectors for autonomous vehicles in unseen environments
A new oversampling method in the string space
CAE-CNN: Predicting transcription factor binding site with convolutional autoencoder and convolutional neural network
Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost
TransExplain: Using neural networks to find suitable explanations for Chinese phrases
Automation of software test data generation using genetic algorithm and reinforcement learning
A novel inertia moment estimation algorithm collaborated with Active Force Control scheme for wheeled mobile robot control in constrained environments
Improving stock market volatility forecasts with complete subset linear and quantile HAR models
Big data classification using heterogeneous ensemble classifiers in Apache Spark based on MapReduce paradigm
A system for identifying an anti-counterfeiting pattern based on the statistical difference in key image regions
Multi-obstacle path planning and optimization for mobile robot
Distributed representations of diseases based on co-occurrence relationship
Neural identification of Type 1 Diabetes Mellitus for care and forecasting of risk events
Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources
A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams
A FMEA based novel intuitionistic fuzzy approach proposal: Intuitionistic fuzzy advance MCDM and mathematical modeling integration
On the pitfalls of learning with limited data: A facial expression recognition case study
Intelligent control of an UAV with a cable-suspended load using a neural network estimator
Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems
Trading strategy of structured mutual fund based on deep learning network
Privacy preserving rule-based classifier using modified artificial bee colony algorithm
Probability learning based tabu search for the budgeted maximum coverage problem
Prerequisite-aware course ordering towards getting relevant job opportunities
Active cluster annotation for wafer map pattern classification in semiconductor manufacturing
