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Expert Systems with Applications （ESWA） - Volume 209 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 209
发布时间： 15 December 2022
卷期年份： 2022
卷期官网： https://www.sciencedirect.com/journal/expert-systems-with-applications/vol/209/suppl/C
本期论文列表
Editorial Board

A feature level image fusion for Night-Vision context enhancement using Arithmetic optimization algorithm based image segmentation

Self-supervised inter- and intra-slice correlation learning for low-dose CT image restoration without ground truth

Superiority of q-Chlodowsky operators versus fuzzy systems and neural networks: Application to adaptive impedance control of electrical manipulators

The behavioural best-worst method

Forecasting Chinese provincial carbon emissions using a novel grey prediction model considering spatial correlation

A reinforced active learning approach for optimal sampling in aspect term extraction for sentiment analysis

Automated diagnosis of schizophrenia using EEG microstates and Deep Convolutional Neural Network

A core-based quota allocation model for the Bitcoin-refunded Blockchain network

Distributionally robust location–allocation models of distribution centers for fresh products with uncertain demands

Consistency of total fuzzy relations: New algorithms to detect and repair inconsistent judgments

IFS and SODA based computational method for fuzzy time series forecasting

Aspect2Labels: A novelistic decision support system for higher educational institutions by using multi-layer topic modelling approach

Region-based layout analysis of music score images

Comparative analysis of hybrid MCDM methods in material selection for dental applications

Swin-MFINet: Swin transformer based multi-feature integration network for detection of pixel-level surface defects

Customer churn prediction for web browsers

An end-to-end ranking system based on customers reviews: Integrating semantic mining and MCDM techniques

Multi-modality image fusion for medical assistive technology management based on hybrid domain filtering

AERPSO — An adaptive exploration robotic PSO based cooperative algorithm for multiple target searching

Using quantum amplitude amplification in genetic algorithms

Surrogate-assisted automatic evolving of dispatching rules for multi-objective dynamic job shop scheduling using genetic programming

Detecting ongoing events using contextual word and sentence embeddings

Representing and modeling spatio-temporal uncertainty using belief function theory in flood extent mapping

EHMIN: Efficient approach of list based high-utility pattern mining with negative unit profits

BERT-based response selection in dialogue systems using utterance attention mechanisms

An expert system to react to defective areas in nesting problems

An intelligent energy efficient handover mechanism with adaptive discontinuous reception in next generation telecommunication networks

Forecasting tunnel boring machine penetration rate using LSTM deep neural network optimized by grey wolf optimization algorithm

KEST: A graph-based keyphrase extraction technique for tweets summarization using Markov Decision Process

Context-aware similarity measurement of lane-changing trajectories

Low resource machine translation of english–manipuri: A semi-supervised approach

Tracing the evolution of AI in the past decade and forecasting the emerging trends

Assessing the performance of unmanned aerial vehicle for logistics and transportation leveraging the Bayesian network approach

Crop-water assessment in Citrus (Citrus sinensis L.) based on continuous measurements of leaf-turgor pressure using machine learning and IoT

Study on the effect of extreme learning machine and its variants in differentiating Alzheimer conditions from selective regions of brain MR images

Integrated ANN-Bayes-based travel time prediction modeling for signalized corridors with probe data acquisition paradigm

A hybrid CNN + BILSTM deep learning-based DSS for efficient prediction of judicial case decisions

A synthetical analysis method of measuring technology convergence

Cross lingual transfer learning for sentiment analysis of Italian TripAdvisor reviews

The trade-off between topology and content in community detection: An adaptive encoder–decoder-based NMF approach

Hierarchical attention and transformers for automatic movie rating

Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data

Adaptive random down-sampling data augmentation and area attention pooling for low resolution face recognition

Weakly labeled data augmentation for social media named entity recognition

Institutional collaboration recommendation: An expertise-based framework using NLP and network analysis

Wafer map failure pattern recognition based on deep convolutional neural network

Transition-driven time prediction for business processes with cycles

Vision talks: Visual relationship-enhanced transformer for video-guided machine translation

A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends

Ensemble grey wolf Optimizer and its application for image segmentation

Optimal visual tracking using Wasserstein transport proposals

A semi-supervised co-training model for predicting passenger flow change in expanding subways

Automatic gear shift strategy for manual transmission of mine truck based on Bi-LSTM network

Adaptive talent journey: Optimization of talents’ growth path within a company via Deep Q-Learning

METransE: Manifold-like mechanism enhanced embedding for reasoning over knowledge graphs

Ranked hesitant fuzzy sets for multi-criteria multi-agent decisions

DFAEN: Double-order knowledge fusion and attentional encoding network for texture recognition

Neutrosophic set based local binary pattern for texture classification

Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection

Global-local integration for GNN-based anomalous device state detection in industrial control systems

Enhanced mass Jensen–Shannon divergence for information fusion

Understanding customer satisfaction via deep learning and natural language processing

Complexity analysis and forecasting of variations in cryptocurrency trading volume with support vector regression tuned by Bayesian optimization under different kernels: An empirical comparison from a large dataset

Predicting student performance using sequence classification with time-based windows

Toward understanding variations in price and billing in US healthcare services: A predictive analytics approach

Crypto-ransomware detection using machine learning models in file-sharing network scenarios with encrypted traffic

KPI-related operating performance assessment based on distributed ImRMR-KOCTA for hot strip mill process

Heap-based optimizer based on three new updating strategies

Semantic segmentation of clouds in satellite images based on U-Net++ architecture and attention mechanism

A self-learning iterative weighted possibilistic fuzzy c-means clustering via adaptive fusion

Tri-staged feature selection in multi-class heterogeneous datasets using memetic algorithm and cuckoo search optimization

Intelligent detection method of low-pressure gas system leakage based on semi-supervised anomaly diagnosis

Deceptive reviews and sentiment polarity: Effective link by exploiting BERT

Intraday and interday features in the high-frequency data: Pre- and post-Crisis evidence in China’s stock market

A hybrid recommendation technique using topic embedding for rating prediction and to handle cold-start problem

A hybrid Transformer approach for Chinese NER with features augmentation

A successful candidate strategy with Runge-Kutta optimization for multi-hydropower reservoir optimization

Automated localization and severity period prediction of myocardial infarction with clinical interpretability based on deep learning and knowledge graph

An anomalous sound detection methodology for predictive maintenance

Optimizing job release and scheduling jointly in a reentrant hybrid flow shop

Monitoring and path optimization of catalytic reformer in a refinery: Principal component analysis and A* algorithm application

Reasonable object detection guided by knowledge of global context and category relationship

Multi-scale semantic deep fusion models for phishing website detection

(MF)2LS: Memetic framework with memory based fuzzy local search

An intelligent green scheduling system for sustainable cold chain logistics

Design and research of hybrid forecasting system for wind speed point forecasting and fuzzy interval forecasting

Novel data augmentation for improved insulation fault diagnosis under nonideal condition

Measuring sustainable technology R&D innovation in China: A unified approach using DEA-SBM and projection analysis

Knowledge-based prognostics and health management of a pumping system under the linguistic decision-making context

Prior wavelet knowledge for multi-modal medical image segmentation using a lightweight neural network with attention guided features

Improving the efficiency of last-mile delivery with the flexible drones traveling salesman problem

Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality prediction

User-guided motion planning with reinforcement learning for human-robot collaboration in smart manufacturing

A novel visually meaningful image encryption algorithm based on parallel compressive sensing and adaptive embedding

Design of a modular neural network based on an improved soft subspace clustering algorithm

A memetic algorithm based on edge-state learning for max-cut

Novel blockchain transaction provenance model with graph attention mechanism

Order picking optimization in a robotic mobile fulfillment system

Study of a lifelong learning scenario for question answering