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Expert Systems with Applications （ESWA） - Volume 212 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 212
发布时间： February 2023
卷期年份： 2023
卷期官网： https://www.sciencedirect.com/journal/expert-systems-with-applications/vol/212/suppl/C
本期论文列表
A hybrid multi-objective evolutionary algorithm for solving an adaptive flexible job-shop rescheduling problem with real-time order acceptance and condition-based preventive maintenance

Fire images classification based on a handcraft approach

An improved feature selection method for classification on incomplete data: Non-negative latent factor-incorporated duplicate MIC

Enhanced Gaussian bare-bones grasshopper optimization: Mitigating the performance concerns for feature selection

Learning salient self-representation for image recognition via orthogonal transformation

A hybrid neuro-experimental decision support system to classify overconfidence and performance in a simulated bubble using a passive BCI

Fast incremental learning by transfer learning and hierarchical sequencing

Android malware detection based on multi-head squeeze-and-excitation residual network

Deep learning model for doors detection: A contribution for context-awareness recognition of patients with Parkinson’s disease

Artificial Emotional Intelligence: Conventional and deep learning approach

An effectiveness analysis of transfer learning for the concept drift problem in malware detection

A new nonlinear stochastic volatility model with regime switching stochastic mean reversion and its applications to option pricing

A generalized line segmentation method for multi-script handwritten text documents

Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis

Social media-based COVID-19 sentiment classification model using Bi-LSTM

Self-supervised cycle-consistent learning for scale-arbitrary real-world single image super-resolution

An innovative ensemble model based on multiple neural networks and a novel heuristic optimization algorithm for COVID-19 forecasting

An integrated latent Dirichlet allocation and Word2vec method for generating the topic evolution of mental models from global to local

A Hybrid Clustered SFLA-PSO algorithm for optimizing the timely and real-time rumor refutations in Online Social Networks

The unified image cryptography algorithm based on finite group

A hybrid deep learning approach for dynamic attitude and position prediction in tunnel construction considering spatio-temporal patterns

Fast & Furious: On the modelling of malware detection as an evolving data stream

Extraction of statistical features for type-2 fuzzy NILM with IoT enabled control in a smart home

Pricing decisions in the closed-loop supply chain network, taking into account the queuing system in production centers

Integrated warehouse assignment and carton configuration optimization using deep clustering-based evolutionary algorithms

A novel artificial intelligence-aided system to mine historical high-performance concrete data for optimizing mixture design

Representation for action recognition with motion vector termed as: SDQIO

A comprehensive study towards high-level approaches for weapon detection using classical machine learning and deep learning methods

An ensemble credit scoring model based on logistic regression with heterogeneous balancing and weighting effects

Fuzzy AHP approach to evaluate incentive factors of high-tech talent agglomeration

An artificial neural network tool to support the decision making of designers for environmentally conscious product development

Complete fully automatic detection, segmentation and 3D reconstruction of tumor volume for non-small cell lung cancer using YOLOv4 and region-based active contour model

A hybrid recommender system for an online store using a fuzzy expert system

Image captioning for effective use of language models in knowledge-based visual question answering

Multimodal spatiotemporal skeletal kinematic gait feature fusion for vision-based fall detection

Algorithm for visualizing substation areas in electric power systems

WABL method as a universal defuzzifier in the fuzzy gradient boosting regression model

Improvement of tasks scheduling algorithm based on load balancing candidate method under cloud computing environment

Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors

An exploration of the key determinants for the application of AI-enabled higher education based on a hybrid Soft-computing technique and a DEMATEL approach

A novel approach to incorporate investor’s preference in fuzzy multi-objective portfolio selection problem using credibility measure

Development of a hybrid computational intelligent model for daily global solar radiation prediction

Developing a conceptual framework for short text categorization using hybrid CNN- LSTM based Caledonian crow optimization

An optimized AdaBoost Multi-class support vector machine for driver behavior monitoring in the advanced driver assistance systems

Impact of external influence on unilateral improvements in the graph model for conflict resolution

Transfer rate prediction at self-service customer support platforms in insurance contact centers

Relational data watermarking resilience to brute force attacks in untrusted environments

Estimation of road surface type from brake pressure pulses of ABS

Link prediction approach combined graph neural network with capsule network

Zeroing neural network with fuzzy parameter for cooperative manner of multiple redundant manipulators

Contourlet and discrete cosine transform based quality guaranteed robust image watermarking method using artificial bee colony algorithm

A multi-scale multi-model deep neural network via ensemble strategy on high-throughput microscopy image for protein subcellular localization

Adaptive safety-aware semi-supervised clustering

A model and cooperative co-evolution algorithm for identifying driver pathways based on the integrated data and PPI network

Influence maximization in social networks using transfer learning via graph-based LSTM

Fractal graph convolutional network with MLP-mixer based multi-path feature fusion for classification of histopathological images

Competency model for international engineering project manager through MADM method: The Chinese context

Online transfer learning with partial feedback

A deep learning approach for automatic detection, segmentation and classification of breast lesions from thermal images

Video violence recognition and localization using a semi-supervised hard attention model

A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks

MBTFCN: A novel modular fully convolutional network for MRI brain tumor multi-classification

An introduction to grey influence analysis (GINA): Applications to causal modelling in marketing and supply chain research

Instance difficulty-based noise correction for crowdsourcing

Topic model for personalized end-to-end task-oriented dialogue

A variant SDDP approach for periodic-review approximately optimal pricing of a slow-moving a item in a duopoly under price protection with end-of-life return and retail fixed markdown policy

Understanding conflict origin and dynamics on Twitter: A real-time detection system

A multi-stage heuristic algorithm based on task grouping for vehicle routing problem with energy constraint in disasters

TAttMSRecNet:Triplet-attention and multiscale reconstruction network for band selection in hyperspectral images

An improved risk prioritization method for propulsion system based on heterogeneous information and PageRank algorithm

An improved flood forecasting system with cluster based visualization and analyzing using GK-ANFIS and CGDNN

Ontology based package design in fresh E-Commerce logistics

TSIFIM: A three-stage iterative framework for influence maximization in complex networks

Learning knowledge graph embedding with a dual-attention embedding network

Forecasting crude oil risk: A multiscale bidirectional generative adversarial network based approach

Gaussian conditional random fields for classification

A multiple association-based unsupervised feature selection algorithm for mixed data sets

Two-sided matching model considering multi-information fusion of stakeholders

An incremental type-2 fuzzy classifier for stock trend prediction

A Bayesian-driven Monte Carlo approach for managing construction schedule risks of infrastructures under uncertainty

Next-basket prediction in a high-dimensional setting using gated recurrent units

A novel flexible feature extraction algorithm for Spanish tweet sentiment analysis based on the context of words

Multi-scale GAN with transformer for surface defect inspection of IC metal packages