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Employing Hybrid ANOVA-RFE with Machine and Deep Learning Models for Enhanced IoT and IIoT Attack Detection and Classification 采用混合ANOVA-RFE与机器和深度学习模型增强物联网和工业物联网攻击检测和分类
Ingenierie des Systemes d''Information Pub Date : 2023-08-31 DOI: 10.18280/isi.280420
Moumena Salah Yassen, Raghdah Adnan Abdulrazzq, Ahmed Burhan Mohammed
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引用次数: 0
Accelerating Code Assembly: Exploiting Heterogeneous Computing Architectures for Optimization 加速代码汇编:利用异构计算架构进行优化
Ingenierie des Systemes d''Information Pub Date : 2023-08-31 DOI: 10.18280/isi.280415
Maksym Karyonov
{"title":"Accelerating Code Assembly: Exploiting Heterogeneous Computing Architectures for Optimization","authors":"Maksym Karyonov","doi":"10.18280/isi.280415","DOIUrl":"https://doi.org/10.18280/isi.280415","url":null,"abstract":"","PeriodicalId":38604,"journal":{"name":"Ingenierie des Systemes d''Information","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135988387","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
A Comprehensive Survey of Machine Learning Techniques in Next-Generation Wireless Networks and the Internet of Things 下一代无线网络和物联网中机器学习技术的综合研究
Ingenierie des Systemes d''Information Pub Date : 2023-08-31 DOI: 10.18280/isi.280416
Mohammad Aftab Alam Khan, Hazilah Mad Kaidi
{"title":"A Comprehensive Survey of Machine Learning Techniques in Next-Generation Wireless Networks and the Internet of Things","authors":"Mohammad Aftab Alam Khan, Hazilah Mad Kaidi","doi":"10.18280/isi.280416","DOIUrl":"https://doi.org/10.18280/isi.280416","url":null,"abstract":"","PeriodicalId":38604,"journal":{"name":"Ingenierie des Systemes d''Information","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135988395","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
A Multi-Agent Systems Approach for Optimized Biomedical Literature Search 优化生物医学文献检索的多智能体系统方法
Ingenierie des Systemes d''Information Pub Date : 2023-08-31 DOI: 10.18280/isi.280424
Ayman Mohammad Odeh Mansour, Mohammad Ali Ahmad Obeidat, Jalal Mohammad Yousef Abdallah
{"title":"A Multi-Agent Systems Approach for Optimized Biomedical Literature Search","authors":"Ayman Mohammad Odeh Mansour, Mohammad Ali Ahmad Obeidat, Jalal Mohammad Yousef Abdallah","doi":"10.18280/isi.280424","DOIUrl":"https://doi.org/10.18280/isi.280424","url":null,"abstract":"","PeriodicalId":38604,"journal":{"name":"Ingenierie des Systemes d''Information","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135987831","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
Utilizing K-Means Clustering for the Detection of Cyberbullying Within Instagram Comments 利用K-Means聚类检测Instagram评论中的网络欺凌
Ingenierie des Systemes d''Information Pub Date : 2023-08-31 DOI: 10.18280/isi.280414
Ahmad Muhariya, Imam Riadi, Yudi Prayudi, Indrawan Ady Saputro
{"title":"Utilizing K-Means Clustering for the Detection of Cyberbullying Within Instagram Comments","authors":"Ahmad Muhariya, Imam Riadi, Yudi Prayudi, Indrawan Ady Saputro","doi":"10.18280/isi.280414","DOIUrl":"https://doi.org/10.18280/isi.280414","url":null,"abstract":"","PeriodicalId":38604,"journal":{"name":"Ingenierie des Systemes d''Information","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135988691","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
Hybrid Deep Learning Approach Utilizing RNN and LSTM for the Detection of DDoS Attacks Within the Bitcoin Ecosystem 利用RNN和LSTM的混合深度学习方法检测比特币生态系统中的DDoS攻击
Ingenierie des Systemes d''Information Pub Date : 2023-08-31 DOI: 10.18280/isi.280413
Amenah Abdulabbas Almamoori, Wesam Samer Bhaya
{"title":"Hybrid Deep Learning Approach Utilizing RNN and LSTM for the Detection of DDoS Attacks Within the Bitcoin Ecosystem","authors":"Amenah Abdulabbas Almamoori, Wesam Samer Bhaya","doi":"10.18280/isi.280413","DOIUrl":"https://doi.org/10.18280/isi.280413","url":null,"abstract":"","PeriodicalId":38604,"journal":{"name":"Ingenierie des Systemes d''Information","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135988113","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
Employing Generative Networks for Synthetic Phonocardiogram and Electrocardiogram Signal Creation: A Privacy-Ensured Approach to Data Augmentation in Heart Diagnostics 利用生成网络合成心音图和心电图信号创建:心脏诊断数据增强的隐私保证方法
Ingenierie des Systemes d''Information Pub Date : 2023-08-31 DOI: 10.18280/isi.280408
Swarajya Madhuri Rayavarapu, Tammineni Shanmukha Prasanthi, Gottapu Santosh Kumar, Gottapu Sasibhushana Rao, Aruna Singham
{"title":"Employing Generative Networks for Synthetic Phonocardiogram and Electrocardiogram Signal Creation: A Privacy-Ensured Approach to Data Augmentation in Heart Diagnostics","authors":"Swarajya Madhuri Rayavarapu, Tammineni Shanmukha Prasanthi, Gottapu Santosh Kumar, Gottapu Sasibhushana Rao, Aruna Singham","doi":"10.18280/isi.280408","DOIUrl":"https://doi.org/10.18280/isi.280408","url":null,"abstract":"The diagnosis of various cardiac conditions necessitates meticulous analysis of Phonocardiogram (PCG) and Electrocardiogram (ECG) signals. In light of this, artificial intelligence and machine learning, coupled with computer-assisted diagnostic techniques, have been progressively integrated into modern healthcare systems, facilitating clinicians in making crucial diagnostic decisions. However, the effectiveness of these deep learning applications hinges on the availability of extensive training data, which exacerbates the risk of privacy violations. In response to this dilemma, research into methodologies for synthetic patient data generation has witnessed a surge. It has been observed that most attempts to generate synthetic ECG and PCG signals focus on modeling the statistical distributions of the available real training data, a process known as Data Augmentation. Among the various data augmentation techniques, Generative Adversarial Networks (GANs) have gained significant traction in recent years. This paper conducts an in-depth exploration and evaluation of GANs, specifically Deep Convolutional GANs and Conditional GANs, for the generation of synthetic ECG and PCG signals.","PeriodicalId":38604,"journal":{"name":"Ingenierie des Systemes d''Information","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135988037","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
DeepBrucel: A Deep Learning Approach for Automated Risk Detection of Brucellosis in Cattle Farms in Ecuador deepbruel:厄瓜多尔牛场布鲁氏菌病自动风险检测的深度学习方法
Ingenierie des Systemes d''Information Pub Date : 2023-08-31 DOI: 10.18280/isi.280411
María J. Aza-Espinosa, Erick P. Herrera-Granda, Marcelo Ibarra-Rosero
{"title":"DeepBrucel: A Deep Learning Approach for Automated Risk Detection of Brucellosis in Cattle Farms in Ecuador","authors":"María J. Aza-Espinosa, Erick P. Herrera-Granda, Marcelo Ibarra-Rosero","doi":"10.18280/isi.280411","DOIUrl":"https://doi.org/10.18280/isi.280411","url":null,"abstract":"","PeriodicalId":38604,"journal":{"name":"Ingenierie des Systemes d''Information","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135988114","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
Application of LSTM and GloVe Word Embedding for Hate Speech Detection in Indonesian Twitter Data LSTM和手套词嵌入在印尼推特仇恨语音检测中的应用
Ingenierie des Systemes d''Information Pub Date : 2023-08-31 DOI: 10.18280/isi.280430
Helmi Imaduddin, Lucky Anggari Kusumaningtias, Fiddin Yusfida A'la
{"title":"Application of LSTM and GloVe Word Embedding for Hate Speech Detection in Indonesian Twitter Data","authors":"Helmi Imaduddin, Lucky Anggari Kusumaningtias, Fiddin Yusfida A'la","doi":"10.18280/isi.280430","DOIUrl":"https://doi.org/10.18280/isi.280430","url":null,"abstract":"","PeriodicalId":38604,"journal":{"name":"Ingenierie des Systemes d''Information","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135988681","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
Deep Learning-Based Prediction of Age and Gender from Facial Images 基于深度学习的面部图像年龄和性别预测
Ingenierie des Systemes d''Information Pub Date : 2023-08-31 DOI: 10.18280/isi.280421
Venkata Srinivasu Veesam, Suban Ravichandran, Rama Mohan Babu Gatram
{"title":"Deep Learning-Based Prediction of Age and Gender from Facial Images","authors":"Venkata Srinivasu Veesam, Suban Ravichandran, Rama Mohan Babu Gatram","doi":"10.18280/isi.280421","DOIUrl":"https://doi.org/10.18280/isi.280421","url":null,"abstract":"","PeriodicalId":38604,"journal":{"name":"Ingenierie des Systemes d''Information","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135988038","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
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