0957-4174

Expert Systems with Applications （ESWA） - Volume 207 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 207
发布时间： 30 November 2022
卷期年份： 2022
卷期官网： https://www.sciencedirect.com/journal/expert-systems-with-applications/vol/207/suppl/C
本期论文列表
Editorial Board

Sequential analysis in Fourier probabilistic neural networks

Design and evaluation of adaptive system for big data cyber security analytics

Appointment Scheduling Problem under Fairness Policy in Healthcare Services: Fuzzy Ant Lion Optimizer

Deep transfer learning in sheep activity recognition using accelerometer data

Driving support by type-2 fuzzy logic control model

AutoTinyML for microcontrollers: Dealing with black-box deployability

Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images

A click-through rate model of e-commerce based on user interest and temporal behavior

Scalable and order invariant analog integrated circuit placement with Attention-based Graph-to-Sequence deep models

A comparative study of common steps in video-based remote heart rate detection methods

An improved NSGA-III algorithm based on distance dominance relation for many-objective optimization

Quality of randomness and node dropout regularization for fitting neural networks

Evolving Gaussian on-line clustering in social network analysis

Research on prediction of multi-class theft crimes by an optimized decomposition and fusion method based on XGBoost

Coordinating double-level sustainability effort in a sustainable supply chain under cap-and-trade regulation

Automatic concrete sidewalk deficiency detection and mapping with deep learning

A novel multi-scale CNNs for false positive reduction in pulmonary nodule detection

Optimum fuzzy logic controller applied to a hybrid hydraulic vehicle to minimize fuel consumption and emissions

Fusing feature engineering and deep learning: A case study for malware classification

Multi-camera vehicle counting using edge-AI

ICSA: Intelligent chatbot security assistant using Text-CNN and multi-phase real-time defense against SNS phishing attacks

Gravitational wave signal recognition and ring-down time estimation via Artificial Neural Networks

A feature selection method via relevant-redundant weight

Heart disease prediction using entropy based feature engineering and ensembling of machine learning classifiers

Nonlinearities between bank stability and income diversification: A dynamic network data envelopment analysis approach

Soil moisture forecast for smart irrigation: The primetime for machine learning

Individual behaviors, social learning, and swarm intelligence: Real case and counterfactuals

Dynamic adversarial domain adaptation based on multikernel maximum mean discrepancy for breast ultrasound image classification

Generating realistic cyber data for training and evaluating machine learning classifiers for network intrusion detection systems

Smart interpretable model (SIM) enabling subject matter experts in rule generation

A comparison of local explanation methods for high-dimensional industrial data: A simulation study

COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain

Data-driven adaptive-critic optimal output regulation towards water level control of boiler-turbine systems

Forecasting stock volatility and value-at-risk based on temporal convolutional networks

Explainable inflation forecasts by machine learning models

Multiple userids identification with deep learning

IntegrateCF: Integrating explicit and implicit feedback based on deep learning collaborative filtering algorithm

ISAIR: Deep inpainted semantic aware image representation for background subtraction

Robust outlier detection based on the changing rate of directed density ratio

A hybrid framework based on extreme learning machine, discrete wavelet transform, and autoencoder with feature penalty for stock prediction

Graph neural network for traffic forecasting: A survey

A novel locality-sensitive hashing relational graph matching network for semantic textual similarity measurement

ATOM: A general calibration framework for multi-modal, multi-sensor systems

Three-stage churn management framework based on DCN with asymmetric loss

Multi-document summarization for patent documents based on generative adversarial network

Phishing websites detection using a novel multipurpose dataset and web technologies features

Leveraging email marketing: Using the subject line to anticipate the open rate

Sine–Cosine-Barnacles Algorithm Optimizer with disruption operator for global optimization and automatic data clustering

A constrained multi-item EOQ inventory model for reusable items: Reinforcement learning-based differential evolution and particle swarm optimization

Data privacy and utility trade-off based on mutual information neural estimator

Ensemble learning with a genetic algorithm for surface roughness prediction in multi-jet polishing

Prediction on spatial elevation using improved kriging algorithms: An application in environmental management

Index similarity assisted particle filter for early failure time prediction with applications to turbofan engines and compressors

A sequential direct hybrid algorithm to compute stationary distribution of continuous-time Markov chain

Deep multi-scale Gaussian residual networks for contextual-aware translation initiation site recognition

Blockchain assisted clustering with Intrusion Detection System for Industrial Internet of Things environment

Multivariate regression (MVR) and different artificial neural network (ANN) models developed for optical transparency of conductive polymer nanocomposite films

Supervised contrastive learning-guided prototypes on axle-box accelerations for railway crossing inspections

Detection of shell companies in financial institutions using dynamic social network

Network-energy-based predictability and link-corrected prediction in complex networks

Ensemble Knowledge Tracing: Modeling interactions in learning process

A control algorithm for a non-stationary batch service production system using Kalman filter

Novel enhanced Salp Swarm Algorithms using opposition-based learning schemes for global optimization problems

On the security of deep learning novelty detection

Subspace-based outlier detection using linear programming and heuristic techniques

New upper bounds for sequence Covering Arrays using a 3-stage approach

PaTRIZ: A framework for mining TRIZ contradictions in patents

Incremental sequential patterns for multivariate temporal association rules mining

A distributed flexible job shop scheduling problem considering worker arrangement using an improved memetic algorithm

Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision

Multimodal representation learning over heterogeneous networks for tag-based music retrieval

Deep recurrent modelling of Granger causality with latent confounding

Forecasting corporate credit ratings using big data from social media

A fuzzy multicriteria group decision approach for classification of failure modes in a hospital’s operating room

Data-driven decision support for rail traffic control: A predictive approach

SMAA-Choquet-FlowSort: A novel user-preference-driven Choquet classifier applied to supplier evaluation

Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges

Corrigendum to “Manufacturer’s selling mode choice in a platform-oriented dual channel supply chain” [Expert Syst. Appl. 198 (2022) 116842]

Quadratic programming feature selection for multicorrelated signal decoding with partial least squares

Modeling Second Language Acquisition with pre-trained neural language models

Comparing PCA-based fault detection methods for dynamic processes with correlated and Non-Gaussian variables

Continental generalization of a human-in-the-loop AI system for clinical seizure recognition

The incremental online k-means clustering algorithm and its application to color quantization

RCL-Learning: ResNet and convolutional long short-term memory-based spatiotemporal air pollutant concentration prediction model

Monitoring of wastewater treatment process based on multi-stage variational autoencoder

Designing an expert system to support aviation occurrence investigations

Wind speed forecasting using multi-scale feature adaptive extraction ensemble model with error regression correction

Using text mining to establish knowledge graph from accident/incident reports in risk assessment

An approach for sales forecasting

Improving plagiarism detection in text document using hybrid weighted similarity

EEG-based emotion analysis using non-linear features and ensemble learning approaches

Multi-label learning with kernel local label information

A Neural Architecture Search for Automated Multimodal Learning

Efficient and robust time series prediction model based on REMD-MMLP with temporal-window

Trajectory optimization for exposure to minimal electromagnetic pollution using genetic algorithms approach: A case study

A novel image encryption scheme based on chaotic apertured fractional Mellin transform and its filter bank

Cognitive-aware lecture video recommendation system using brain signal in flipped learning pedagogy

Human-inspired spatiotemporal feature extraction and fusion network for weather forecasting

Fuzzy closed-loop supply chain models with quality and marketing effort-dependent demand