{"title":"Exploring visual representations of computer mouse movements for bot detection using deep learning approaches","authors":"Hongfeng Niu, Ang Wei, Yunpeng Song, Zhongmin Cai","doi":"10.2139/ssrn.4329684","DOIUrl":"https://doi.org/10.2139/ssrn.4329684","url":null,"abstract":"","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"58 1","pages":"120225"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74185605","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}
Shervin Zakeri, Prasenjit Chatterjee, N. Cheikhrouhou, D. Konstantas, Ying Yang
{"title":"MUTRISS: A new method for material selection problems using MUltiple-TRIangles scenarios","authors":"Shervin Zakeri, Prasenjit Chatterjee, N. Cheikhrouhou, D. Konstantas, Ying Yang","doi":"10.2139/ssrn.4215311","DOIUrl":"https://doi.org/10.2139/ssrn.4215311","url":null,"abstract":"","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"101 1","pages":"120463"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74848210","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}
{"title":"Artificial intelligence based switching frequency regulation with fast terminal sliding mode control for DC-DC step-down converters","authors":"Güven Balta, Çağdaş Hisar, N. Altin","doi":"10.1016/j.eswa.2023.120331","DOIUrl":"https://doi.org/10.1016/j.eswa.2023.120331","url":null,"abstract":"","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"32 1","pages":"120331"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79063351","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}
Jiahao Zhang, Bo Huang, Hamido Fujita, Guohui Zeng, Jin Liu
{"title":"FeQA: Fusion and enhancement of multi-source knowledge on question answering","authors":"Jiahao Zhang, Bo Huang, Hamido Fujita, Guohui Zeng, Jin Liu","doi":"10.2139/ssrn.4276557","DOIUrl":"https://doi.org/10.2139/ssrn.4276557","url":null,"abstract":"","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"1 1","pages":"120286"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81330327","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}
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}
Iván de-Paz-Centeno, María Teresa García-Ordás, Óscar García-Olalla, H. Alaiz-Moretón
{"title":"Imputation of missing measurements in PV production data within constrained environments","authors":"Iván de-Paz-Centeno, María Teresa García-Ordás, Óscar García-Olalla, H. Alaiz-Moretón","doi":"10.2139/ssrn.4173706","DOIUrl":"https://doi.org/10.2139/ssrn.4173706","url":null,"abstract":"","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"23 1","pages":"119510"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83998310","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}
Tan Zhang, Zihe Wang, F. Li, Xuejuan Hu, Wenjun Zhang, Xiaoxu Liu
{"title":"Automatic detection of surface defects based on deep random chains","authors":"Tan Zhang, Zihe Wang, F. Li, Xuejuan Hu, Wenjun Zhang, Xiaoxu Liu","doi":"10.2139/ssrn.4329704","DOIUrl":"https://doi.org/10.2139/ssrn.4329704","url":null,"abstract":"","PeriodicalId":12115,"journal":{"name":"Expert Syst. Appl.","volume":"21 1","pages":"120472"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86176677","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}