Expert Syst. Appl.最新文献

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Multi-Objective Traffic Signal Control Using Network-Wide Agent Coordinated Reinforcement Learning 基于全网络智能体协调强化学习的多目标交通信号控制
Expert Syst. Appl. Pub Date : 2023-05-01 DOI: 10.2139/ssrn.4374888
Jie Fang, Ya You, Mengyun Xu, Juan Wang, Sibin Cai
{"title":"Multi-Objective Traffic Signal Control Using Network-Wide Agent Coordinated Reinforcement Learning","authors":"Jie Fang, Ya You, Mengyun Xu, Juan Wang, Sibin Cai","doi":"10.2139/ssrn.4374888","DOIUrl":"https://doi.org/10.2139/ssrn.4374888","url":null,"abstract":"","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"10 1","pages":"120535"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84929198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comprehensive analysis of the heterogeneous computing performance of DNNs under typical frameworks on cloud and edge computing platforms 基于云计算和边缘计算平台的典型框架下深度神经网络异构计算性能的综合分析
Expert Syst. Appl. Pub Date : 2023-05-01 DOI: 10.2139/ssrn.4176358
Feiyu Zhao, Xiaoxuan Wang, P. Lin, Yongming Chen
{"title":"Comprehensive analysis of the heterogeneous computing performance of DNNs under typical frameworks on cloud and edge computing platforms","authors":"Feiyu Zhao, Xiaoxuan Wang, P. Lin, Yongming Chen","doi":"10.2139/ssrn.4176358","DOIUrl":"https://doi.org/10.2139/ssrn.4176358","url":null,"abstract":"","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"113 1","pages":"120475"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78568348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Representation-centric approach for classification of Consumer Health Questions 消费者健康问题分类的代表中心方法
Expert Syst. Appl. Pub Date : 2023-05-01 DOI: 10.2139/ssrn.4261649
Arezoo Saedi, A. Fatemi, M. Nematbakhsh
{"title":"Representation-centric approach for classification of Consumer Health Questions","authors":"Arezoo Saedi, A. Fatemi, M. Nematbakhsh","doi":"10.2139/ssrn.4261649","DOIUrl":"https://doi.org/10.2139/ssrn.4261649","url":null,"abstract":"","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"38 1","pages":"120436"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75669655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning 基于重构和微调的高效脑肿瘤分类深度学习模型
Expert Syst. Appl. Pub Date : 2023-05-01 DOI: 10.48550/arXiv.2305.12844
Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter, Md. Alamgir Jalil Pramanik, Sunil Aryal, Muhammad Ali Abdullah Almoyad, Khondokar Fida Hasan, M. Moni
{"title":"An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning","authors":"Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter, Md. Alamgir Jalil Pramanik, Sunil Aryal, Muhammad Ali Abdullah Almoyad, Khondokar Fida Hasan, M. Moni","doi":"10.48550/arXiv.2305.12844","DOIUrl":"https://doi.org/10.48550/arXiv.2305.12844","url":null,"abstract":"Brain tumors are among the most fatal and devastating diseases, often resulting in significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to devise treatment plans that can extend the lives of affected individuals. Manually identifying and analyzing large volumes of MRI data is both challenging and time-consuming. Consequently, there is a pressing need for a reliable deep learning (DL) model to accurately diagnose brain tumors. In this study, we propose a novel DL approach based on transfer learning to effectively classify brain tumors. Our novel method incorporates extensive pre-processing, transfer learning architecture reconstruction, and fine-tuning. We employ several transfer learning algorithms, including Xception, ResNet50V2, InceptionResNetV2, and DenseNet201. Our experiments used the Figshare MRI brain tumor dataset, comprising 3,064 images, and achieved accuracy scores of 99.40%, 99.68%, 99.36%, and 98.72% for Xception, ResNet50V2, InceptionResNetV2, and DenseNet201, respectively. Our findings reveal that ResNet50V2 achieves the highest accuracy rate of 99.68% on the Figshare MRI brain tumor dataset, outperforming existing models. Therefore, our proposed model's ability to accurately classify brain tumors in a short timeframe can aid neurologists and clinicians in making prompt and precise diagnostic decisions for brain tumor patients.","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"64 1","pages":"120534"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88900612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
A comparison of risk measures for portfolio optimization with cardinality constraints 具有基数约束的投资组合优化风险度量的比较
Expert Syst. Appl. Pub Date : 2023-05-01 DOI: 10.2139/ssrn.4141301
H. Ramos, M. Righi, P. C. Guedes, F. Müller
{"title":"A comparison of risk measures for portfolio optimization with cardinality constraints","authors":"H. Ramos, M. Righi, P. C. Guedes, F. Müller","doi":"10.2139/ssrn.4141301","DOIUrl":"https://doi.org/10.2139/ssrn.4141301","url":null,"abstract":"","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"126 1","pages":"120412"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83245937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Transfer learning in optimization: Interpretable self-organizing maps driven similarity indices to identify candidate source functions 优化中的迁移学习:可解释的自组织映射驱动的相似性指数,以识别候选源函数
Expert Syst. Appl. Pub Date : 2023-05-01 DOI: 10.2139/ssrn.4295235
Suja Shree Ravichandran, Kannan Sekar, Vinay Ramanath, Palaniappan Ramu
{"title":"Transfer learning in optimization: Interpretable self-organizing maps driven similarity indices to identify candidate source functions","authors":"Suja Shree Ravichandran, Kannan Sekar, Vinay Ramanath, Palaniappan Ramu","doi":"10.2139/ssrn.4295235","DOIUrl":"https://doi.org/10.2139/ssrn.4295235","url":null,"abstract":"","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"74 1","pages":"120529"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85603171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A reliable region information driven kriging-assisted multiobjective rough fuzzy clustering algorithm for color image segmentation 一种可靠的区域信息驱动kriging辅助多目标粗糙模糊聚类算法用于彩色图像分割
Expert Syst. Appl. Pub Date : 2023-05-01 DOI: 10.2139/ssrn.4202455
F. Zhao, Zihan Tang, Hanqiang Liu, Zhilei Xiao, Jiu-lun Fan
{"title":"A reliable region information driven kriging-assisted multiobjective rough fuzzy clustering algorithm for color image segmentation","authors":"F. Zhao, Zihan Tang, Hanqiang Liu, Zhilei Xiao, Jiu-lun Fan","doi":"10.2139/ssrn.4202455","DOIUrl":"https://doi.org/10.2139/ssrn.4202455","url":null,"abstract":"","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"1 1","pages":"120419"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83417051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Nonlocal low-rank plus deep denoising prior for robust image compressed sensing reconstruction 基于非局部低秩加深度去噪的鲁棒图像压缩感知重构
Expert Syst. Appl. Pub Date : 2023-05-01 DOI: 10.1016/j.eswa.2023.120456
Yunyi Li, Long Gao, Shigang Hu, Guan Gui, Chaoyang Chen
{"title":"Nonlocal low-rank plus deep denoising prior for robust image compressed sensing reconstruction","authors":"Yunyi Li, Long Gao, Shigang Hu, Guan Gui, Chaoyang Chen","doi":"10.1016/j.eswa.2023.120456","DOIUrl":"https://doi.org/10.1016/j.eswa.2023.120456","url":null,"abstract":"","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"291 1","pages":"120456"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77160004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
High accuracy intelligent real-time framework for detecting infant drowning based on deep learning 基于深度学习的婴幼儿溺水检测高精度智能实时框架
Expert Syst. Appl. Pub Date : 2023-05-01 DOI: 10.2139/ssrn.4308322
Qianen He, Huisheng Zhang, Zhiqiang Mei, Xiuying Xu
{"title":"High accuracy intelligent real-time framework for detecting infant drowning based on deep learning","authors":"Qianen He, Huisheng Zhang, Zhiqiang Mei, Xiuying Xu","doi":"10.2139/ssrn.4308322","DOIUrl":"https://doi.org/10.2139/ssrn.4308322","url":null,"abstract":"","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"118 1","pages":"120204"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77445519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A power line segmentation model in aerial images based on an efficient multibranch concatenation network 基于高效多支路连接网络的航拍图像电力线分割模型
Expert Syst. Appl. Pub Date : 2023-05-01 DOI: 10.1016/j.eswa.2023.120359
Guanke Chen, Kun Hao, Beibei Wang, Zhisheng Li, Xiaofang Zhao
{"title":"A power line segmentation model in aerial images based on an efficient multibranch concatenation network","authors":"Guanke Chen, Kun Hao, Beibei Wang, Zhisheng Li, Xiaofang Zhao","doi":"10.1016/j.eswa.2023.120359","DOIUrl":"https://doi.org/10.1016/j.eswa.2023.120359","url":null,"abstract":"","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"20 1","pages":"120359"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81342184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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