Expert Systems with Applications （ESWA） - Volume 196 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 196 |
| 发布时间： 15 June 2022 |
| 卷期年份： 2022 |
| 卷期官网： https://www.sciencedirect.com/journal/expert-systems-with-applications/vol/196/suppl/C |
本期论文列表
Editorial Board
Fuzzy multi-objective programming: A systematic literature review
MDCADNet: Multi dilated & context aggregated dense network for non-textual components classification in digital documents
Comparing aggregation methods in large-scale group AHP: Time for the shift to distance-based aggregation
An extensive study of C-SMOTE, a Continuous Synthetic Minority Oversampling Technique for Evolving Data Streams
A hybrid feature selection approach based on information theory and dynamic butterfly optimization algorithm for data classification
An automatic approach for heart segmentation in CT scans through image processing techniques and Concat-U-Net
GameDKT: Deep knowledge tracing in educational games
Modified continuous Ant Colony Optimisation for multiple Unmanned Ground Vehicle path planning
Open APIs recommendation with an ensemble-based multi-feature model
A high compatibility finger vein image quality assessment system based on deep learning
Dependency syntax guided BERT-BiLSTM-GAM-CRF for Chinese NER
Identifying critical nodes in power networks: A group-driven framework
Deep MRI glioma segmentation via multiple guidances and hybrid enhanced-gradient cross-entropy loss
Bi-subgroup optimization algorithm for parameter estimation of a PEMFC model
CP-Squared: A method for change point detection in core–periphery networks
A novel relevance-based information interaction model for community detection in complex networks
How to make machine select stocks like fund managers? Use scoring and screening model
Trilateral Filterative Hermitian feature transformed deep perceptive fuzzy neural network for finger vein verification
The vehicle routing problem with capacitated cross-docking
Decision support analysis for risk identification and control of patients affected by COVID-19 based on Bayesian Networks