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Expert Systems with Applications （ESWA） - Volume 191 论文列表

点击这里查看 Expert Systems with Applications 的JCR分区、影响因子等信息
卷期号： Volume 191
发布时间： 1 April 2022
卷期年份： 2022
卷期官网： https://www.sciencedirect.com/journal/expert-systems-with-applications/vol/191/suppl/C
本期论文列表
Editorial Board

A multi-block clustering algorithm for high dimensional binarized sparse data

ClawGAN: Claw connection-based generative adversarial networks for facial image translation in thermal to RGB visible light

A gradient ascent algorithm based on possibilistic fuzzy C-Means for clustering noisy data

Deep reinforcement learning based scheduling within production plan in semiconductor fabrication

A network analysis of the value migration process on the financial market. The effect of value migration network structure on stock returns

LDAS: Local density-based adaptive sampling for imbalanced data classification

Vehicle routing problem with drones considering time windows

A novel image retrieval strategy based on transfer learning and hand-crafted features for wool fabric

A two-stage location-sensitive and user preference-aware recommendation system

Multi-view Graph Attention Network for Travel Recommendation

Predictive control research for cement burning system using two-cycle coupling optimization

Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction

Cluster-based WSA method to elicit expert knowledge for Bayesian reasoning—Case of parcel delivery with drone

A distributed real-time pricing strategy based on reinforcement learning approach for smart grid

An analytic network process model for risk quantification of mega construction projects

Self-paced learning-assisted regularization reconstruction method with data-adaptive prior for electrical capacitance tomography

Low-latency edge cooperation caching based on base station cooperation in SDN based MEC

Anchor-free YOLOv3 for mass detection in mammogram

Decision tree and artificial immune systems for stroke prediction in imbalanced data

Application of Machine-Learning in Network-Level Road Maintenance Policy-Making: The Case of Iran

gTour: Multiple itinerary recommendation engine for group of tourists

Efficient strategies for incremental mining of frequent closed itemsets over data streams

A hybrid population-based algorithm for the bi-objective quadratic multiple knapsack problem

Adaptive multi-task positive-unlabeled learning for joint prediction of multiple chronic diseases using online shopping behaviors

Virtual Net Propagator: A cloud-based computational tool for systemic decision propagation analysis

A high-precision multi-arithmetic neural circuit for the efficient computation of the new filtered-X Kronecker product APL-NLMS algorithm applied to active noise control

A peer-to-peer market for utility exchanges in Eco-Industrial Parks using automated negotiations

Choquet integral-based intuitionistic fuzzy arithmetic aggregation operators in multi-criteria decision-making

Churn in the mobile gaming field: Establishing churn definitions and measuring classification similarities

Modeling sentimental bias and temporal dynamics for adaptive deep recommendation system

Deep anomaly detection in hyperspectral images based on membership maps and object area filtering

IPMOD: An efficient outlier detection model for high-dimensional medical data streams

Empirical investigation of hyperparameter optimization for software defect count prediction

DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition

Dynamic relevance and interdependent feature selection for continuous data

Design of a combined system based on multi-objective optimization for point and interval forecasting of air pollution

Ranking fuzzy numbers based on relative positions and shape characteristics

A multistage and multiresolution deep convolutional neural network for inverse halftoning

Piracema.io: A rules-based tree model for phishing prediction

Epileptic seizure classification using level-crossing EEG sampling and ensemble of sub-problems classifier

Novel spherical fuzzy distance and similarity measures and their applications to medical diagnosis

Two-dimensional phase lag index image representation of electroencephalography for automated recognition of driver fatigue using convolutional neural network

Towards improved accuracy of UAV-based wheat ears counting: A transfer learning method of the ground-based fully convolutional network

Knowledge, ignorance, and uncertainty: An investigation from the perspective of some differential equations

SP-ant: An ant colony optimization based operator scheduler for high performance distributed stream processing on heterogeneous clusters

A probabilistic hesitant fuzzy Choquet integral-based TODIM method for multi-attribute group decision-making

Deep multi-graph neural networks with attention fusion for recommendation

Centroid mutation-based Search and Rescue optimization algorithm for feature selection and classification

A combination forecasting model based on hybrid interval multi-scale decomposition: Application to interval-valued carbon price forecasting

Optimal truss sizing by modified Rao algorithm combined with feasible boundary search method

Ranking based on optimal points and win-loss-draw multi-criteria decision-making with application to supplier evaluation problem

An intelligent way to predict the building thermal needs: ANNs and optimization

Performance evaluation of outlier detection techniques in production timeseries: A systematic review and meta-analysis

Preprocessing of normative documents for interactive question answering

A new validity clustering index-based on finding new centroid positions using the mean of clustered data to determine the optimum number of clusters

Enhanced the moving object detection and object tracking for traffic surveillance using RBF-FDLNN and CBF algorithm

Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer

Random subspace and random projection nearest neighbor ensembles for high dimensional data

Dilated convolutional neural network based model for bearing faults and broken rotor bar detection in squirrel cage induction motors

A novel quantum inspired genetic algorithm to initialize cluster centers in fuzzy C-means

Fitness peak clustering based dynamic multi-swarm particle swarm optimization with enhanced learning strategy

Novel distance measures for intuitionistic fuzzy sets based on various triangle centers of isosceles triangular fuzzy numbers and their applications

A machine learning model for lapse prediction in life insurance contracts

Multi-classification assessment of bank personal credit risk based on multi-source information fusion

M2VMapper: Malware-to-Vulnerability mapping for Android using text processing

AECasN: An information cascade predictor by learning the structural representation of the whole cascade network with autoencoder

Generalized Zero-Shot Learning using Identifiable Variational Autoencoders

Human activity recognition using temporal convolutional neural network architecture

ComposeInStyle: Music composition with and without Style Transfer

Locating critical slip surfaces of soil slopes with heuristic algorithms: A comparative study

Deep-learning-based solution for data deficient satellite image segmentation

Unsupervised online anomaly detection in Software Defined Network environments

Fine-tuning SalGAN and PathGAN for extending saliency map and gaze path prediction from natural images to websites

DaQAPO: Supporting flexible and fine-grained event log quality assessment

Biometric authentication using a deep learning approach based on different level fusion of finger knuckle print and fingernail

Distributed evidential clustering toward time series with big data issue

An underwater-imaging-model-inspired no-reference quality metric for images in multi-colored environments

An information retrieval benchmarking model of satisficing and impatient users’ behavior in online search environments

Grayscale-inversion and rotation invariant image description using local ternary derivative pattern with dominant structure encoding

AutoLog: Anomaly detection by deep autoencoding of system logs

Design of a modular DSS for public health decision-making in the context of a COVID-19 pandemic landscape

Personalized individual semantics based consensus reaching process for large-scale group decision making with probabilistic linguistic preference relations and application to COVID-19 surveillance

An advanced decision-making model for evaluating manufacturing plant locations using fuzzy inference system

IRUNet for medical image segmentation

Federated optimization via knowledge codistillation

A new clustering algorithm based on a radar scanning strategy with applications to machine learning data

Fraud detection in publicly traded U.S firms using Beetle Antennae Search: A machine learning approach

TEA-SEA: Tiling and scheduling of non-uniform two-level perfectly nested loops using an evolutionary approach

Forecasting the box offices of movies coming soon using social media analysis: A method based on improved Bass models

Communicating delays and adjusted disposition timetables: Modelling and evaluating the impact of incomplete information to passengers