Manar Ahmed Hamza, Aisha Hassan Abdalla Hashim, Heba G. Mohamed, Saud S. Alotaibi, Hany Mahgoub, Amal S. Mehanna, Abdelwahed Motwakel
{"title":"Hyperparameter Tuned Deep Learning Enabled Intrusion Detection on Internet of Everything Environment","authors":"Manar Ahmed Hamza, Aisha Hassan Abdalla Hashim, Heba G. Mohamed, Saud S. Alotaibi, Hany Mahgoub, Amal S. Mehanna, Abdelwahed Motwakel","doi":"10.32604/cmc.2022.031303","DOIUrl":"https://doi.org/10.32604/cmc.2022.031303","url":null,"abstract":"","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129306555","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}
Amal Al-Rasheed, Jaber S. Alzahrani, Majdy M. Eltahir, Abdullah Mohamed, Anwer Mustafa Hilal, Abdelwahed Motwakel, Abu Sarwar Zamani, Mohamed I. Eldesouki
{"title":"Manta Ray Foraging Optimization with Machine Learning Based Biomedical Data Classification","authors":"Amal Al-Rasheed, Jaber S. Alzahrani, Majdy M. Eltahir, Abdullah Mohamed, Anwer Mustafa Hilal, Abdelwahed Motwakel, Abu Sarwar Zamani, Mohamed I. Eldesouki","doi":"10.32604/cmc.2022.029823","DOIUrl":"https://doi.org/10.32604/cmc.2022.029823","url":null,"abstract":"","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129347464","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}
Fatma Taher, Hamoud H. Alshammari, Lobna Osman, M. Elhoseny, A. Shehab, E. Elayat
{"title":"Cardiac Arrhythmia Disease Classifier Model Based on a Fuzzy Fusion Approach","authors":"Fatma Taher, Hamoud H. Alshammari, Lobna Osman, M. Elhoseny, A. Shehab, E. Elayat","doi":"10.32604/cmc.2023.036118","DOIUrl":"https://doi.org/10.32604/cmc.2023.036118","url":null,"abstract":"","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129483697","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":"A Multi-Task Motion Generation Model that Fuses a Discriminator and a Generator","authors":"Xiuye Liu, Aihua Wu","doi":"10.32604/cmc.2023.039004","DOIUrl":"https://doi.org/10.32604/cmc.2023.039004","url":null,"abstract":"","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130413964","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}
Jie Yin, Yuxuan Shi, Wen Deng, Chang Yin, Tiannan Wang, Y. Song, Tianyao Li, Yicheng Li
{"title":"Internet of Things Intrusion Detection System Based on Convolutional Neural Network","authors":"Jie Yin, Yuxuan Shi, Wen Deng, Chang Yin, Tiannan Wang, Y. Song, Tianyao Li, Yicheng Li","doi":"10.32604/cmc.2023.035077","DOIUrl":"https://doi.org/10.32604/cmc.2023.035077","url":null,"abstract":"","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126666196","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}
Thai Hoang Tuyet Nhi, Chia-Nan Wang, Nguyen Van Thanh
{"title":"Fuzzy Multi-Criteria Decision Making for Solar Power Plant Location Selection","authors":"Thai Hoang Tuyet Nhi, Chia-Nan Wang, Nguyen Van Thanh","doi":"10.32604/cmc.2022.026374","DOIUrl":"https://doi.org/10.32604/cmc.2022.026374","url":null,"abstract":"","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"11 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126923047","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":"A Systematic Literature Review of Deep Learning Algorithms for Segmentation of the COVID-19 Infection","authors":"Shroog Alshomrani, M. Arif, Mohammed A. Al Ghamdi","doi":"10.32604/cmc.2023.038059","DOIUrl":"https://doi.org/10.32604/cmc.2023.038059","url":null,"abstract":"Coronavirus has infected more than 753 million people, ranging in severity from one person to another, where more than six million infected people died worldwide. Computer-aided diagnostic (CAD) with artificial intelligence (AI) showed outstanding performance in effectively diagnosing this virus in real-time. Computed tomography is a complementary diagnostic tool to clarify the damage of COVID-19 in the lungs even before symptoms appear in patients. This paper conducts a systematic literature review of deep learning methods for classifying the segmentation of COVID-19 infection in the lungs. We used the methodology of systematic reviews and meta-analyses (PRISMA) flow method. This research aims to systematically analyze the supervised deep learning methods, open resource datasets, data augmentation methods, and loss functions used for various segment shapes of COVID-19 infection from computerized tomography (CT) chest images. We have selected 56 primary studies relevant to the topic of the paper. We have compared different aspects of the algorithms used to segment infected areas in the CT images. Limitations to deep learning in the segmentation of infected areas still need to be developed to predict smaller regions of infection at the beginning of their appearance.","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123937524","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}