Moumena Salah Yassen, Raghdah Adnan Abdulrazzq, Ahmed Burhan Mohammed
{"title":"Employing Hybrid ANOVA-RFE with Machine and Deep Learning Models for Enhanced IoT and IIoT Attack Detection and Classification","authors":"Moumena Salah Yassen, Raghdah Adnan Abdulrazzq, Ahmed Burhan Mohammed","doi":"10.18280/isi.280420","DOIUrl":"https://doi.org/10.18280/isi.280420","url":null,"abstract":"","PeriodicalId":38604,"journal":{"name":"Ingenierie des Systemes d''Information","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135987870","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 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":"40 1","pages":"0"},"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}
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":"48 1","pages":"0"},"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}
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":"10 1","pages":"0"},"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}
{"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":"9 1","pages":"0"},"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}
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.
{"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":"2 1","pages":"0"},"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}
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":"8 1","pages":"0"},"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}
{"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":"47 1","pages":"0"},"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}
{"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":"48 1","pages":"0"},"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}
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