Pub Date : 2024-07-05DOI: 10.1142/s1793962324500429
Kawtar Idhammou Ouyoussef, J. El Karkri, L. M. Tine, R. Aboulaich
{"title":"Physics-Informed Neural Networks for Parameter Estimation and Simulation of a Two-Group Epidemiological Model","authors":"Kawtar Idhammou Ouyoussef, J. El Karkri, L. M. Tine, R. Aboulaich","doi":"10.1142/s1793962324500429","DOIUrl":"https://doi.org/10.1142/s1793962324500429","url":null,"abstract":"","PeriodicalId":505809,"journal":{"name":"International Journal of Modeling, Simulation, and Scientific Computing","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674786","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}
Pub Date : 2024-07-05DOI: 10.1142/s1793962325500072
Ya Chen, Rongqing Wu, Peng Wang, Dianjun Wang, Linlin Gao, Shujing Liu, Zhongkang Song
{"title":"Harmonic Drive Friction Loss Based on an Integrated Joint for Collaborative Robots","authors":"Ya Chen, Rongqing Wu, Peng Wang, Dianjun Wang, Linlin Gao, Shujing Liu, Zhongkang Song","doi":"10.1142/s1793962325500072","DOIUrl":"https://doi.org/10.1142/s1793962325500072","url":null,"abstract":"","PeriodicalId":505809,"journal":{"name":"International Journal of Modeling, Simulation, and Scientific Computing","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141676410","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}
Pub Date : 2024-06-07DOI: 10.1142/s1793962324410204
Ajit Kumar Singh Yadav, R. Radhika, V.R. Balaji, D. Sivaganesan, J. Cynthia, M. Thomas Jeyanth
{"title":"Distributed denial of service (ddos) attacks and mitigation method using logistic regression based googlenet for real-time in security games","authors":"Ajit Kumar Singh Yadav, R. Radhika, V.R. Balaji, D. Sivaganesan, J. Cynthia, M. Thomas Jeyanth","doi":"10.1142/s1793962324410204","DOIUrl":"https://doi.org/10.1142/s1793962324410204","url":null,"abstract":"","PeriodicalId":505809,"journal":{"name":"International Journal of Modeling, Simulation, and Scientific Computing","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141372389","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}
Pub Date : 2024-06-07DOI: 10.1142/s179396232450034x
Qiang Lu, Wenxuan Lu, Juan Tian
{"title":"Association between the motor units and the central pattern generator in terms of the synaptic connection","authors":"Qiang Lu, Wenxuan Lu, Juan Tian","doi":"10.1142/s179396232450034x","DOIUrl":"https://doi.org/10.1142/s179396232450034x","url":null,"abstract":"","PeriodicalId":505809,"journal":{"name":"International Journal of Modeling, Simulation, and Scientific Computing","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141370866","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}
Pub Date : 2024-05-17DOI: 10.1142/s1793962325500047
Shinan Cao, Pingjuan Niu, Shan Sheng, Bin Wang, Qiang Liu, Bangchen Han
{"title":"Modeling and Analysis of a Novel 6-DOF Magnetic Levitation System with Experimental Verification","authors":"Shinan Cao, Pingjuan Niu, Shan Sheng, Bin Wang, Qiang Liu, Bangchen Han","doi":"10.1142/s1793962325500047","DOIUrl":"https://doi.org/10.1142/s1793962325500047","url":null,"abstract":"","PeriodicalId":505809,"journal":{"name":"International Journal of Modeling, Simulation, and Scientific Computing","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140963119","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}
Pub Date : 2024-05-10DOI: 10.1142/s1793962324500338
Hossein Hassani, Nadejda Komendantova, Elena A. Rovenskaya, M. R. Yeganegi
{"title":"Unveiling the Waves of Mis and Disinformation from Social Media","authors":"Hossein Hassani, Nadejda Komendantova, Elena A. Rovenskaya, M. R. Yeganegi","doi":"10.1142/s1793962324500338","DOIUrl":"https://doi.org/10.1142/s1793962324500338","url":null,"abstract":"","PeriodicalId":505809,"journal":{"name":"International Journal of Modeling, Simulation, and Scientific Computing","volume":" 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140993255","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}
Pub Date : 2024-05-09DOI: 10.1142/s1793962324500326
Qi Liu, Tianyu Huang, Xiangchen Li
The diversity, infinity, and nonuniform description of human motion make it challenging for computers to understand human activities. To explore and reuse captured human motion data, this work defines a more comprehensive hierarchical theoretical model of human motion and proposes a standard human posture encoding scheme. We construct a domain knowledge graph (DKG) named the human motion encoding knowledge graph (HME-KG) based on posture codes and action labels. Community detection, similarity analysis, and centrality analysis are used to explore the potential value of motion data. This paper conducts an evaluation and visualization of HME-KG.
{"title":"HME-KG: A method of constructing the human motion encoding knowledge graph based on a hierarchical motion model","authors":"Qi Liu, Tianyu Huang, Xiangchen Li","doi":"10.1142/s1793962324500326","DOIUrl":"https://doi.org/10.1142/s1793962324500326","url":null,"abstract":"The diversity, infinity, and nonuniform description of human motion make it challenging for computers to understand human activities. To explore and reuse captured human motion data, this work defines a more comprehensive hierarchical theoretical model of human motion and proposes a standard human posture encoding scheme. We construct a domain knowledge graph (DKG) named the human motion encoding knowledge graph (HME-KG) based on posture codes and action labels. Community detection, similarity analysis, and centrality analysis are used to explore the potential value of motion data. This paper conducts an evaluation and visualization of HME-KG.","PeriodicalId":505809,"journal":{"name":"International Journal of Modeling, Simulation, and Scientific Computing","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140996569","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}
Pub Date : 2024-05-07DOI: 10.1142/s1793962325410041
Shan He
{"title":"Decentralized Edge Computing Approach for Secure and Efficient Preservation of Short-Term Electronic Forensic Evidence through Consensus","authors":"Shan He","doi":"10.1142/s1793962325410041","DOIUrl":"https://doi.org/10.1142/s1793962325410041","url":null,"abstract":"","PeriodicalId":505809,"journal":{"name":"International Journal of Modeling, Simulation, and Scientific Computing","volume":"24 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141005103","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}
Designing intelligent diagnosis of prostate diseases in intelligent medical assistance systems has gradually become a research hotspot. However, rectal ultrasound (TRUS) as the main diagnostic tool for prostate diseases remains a challenging issue. (1) Due to limited prostate TRUS imaging data, it is difficult to train a robust deep learning model. (2) Compared with TRUS images of other tissues and organs, the visual features of whether the prostate contains cancer in ultrasound images are similar, so it is difficult for a single neural network model to accurately learn the feature representation of the disease. To address the above problems, we first establish a high-quality dataset for prostate TRUS imaging, and then design multi teacher knowledge distillation to achieve accurate disease recognition. The experimental results show that, compared with knowledge distillation without a teacher model and a single teacher model, knowledge distillation using multiple teacher models can significantly improve the accuracy of prostate TRUS image cancer prediction. As the number of teacher models increases, the accuracy rate is further
{"title":"Multi teacher knowledge extraction for prostate cancer recognition in medical intelligent assistance systems","authors":"Linyuan Li, Qian Zhang, Zhengqi Liu, Xinyi Xi, Haonan Zhang, Yahui Nan","doi":"10.1142/s1793962325500035","DOIUrl":"https://doi.org/10.1142/s1793962325500035","url":null,"abstract":"Designing intelligent diagnosis of prostate diseases in intelligent medical assistance systems has gradually become a research hotspot. However, rectal ultrasound (TRUS) as the main diagnostic tool for prostate diseases remains a challenging issue. (1) Due to limited prostate TRUS imaging data, it is difficult to train a robust deep learning model. (2) Compared with TRUS images of other tissues and organs, the visual features of whether the prostate contains cancer in ultrasound images are similar, so it is difficult for a single neural network model to accurately learn the feature representation of the disease. To address the above problems, we first establish a high-quality dataset for prostate TRUS imaging, and then design multi teacher knowledge distillation to achieve accurate disease recognition. The experimental results show that, compared with knowledge distillation without a teacher model and a single teacher model, knowledge distillation using multiple teacher models can significantly improve the accuracy of prostate TRUS image cancer prediction. As the number of teacher models increases, the accuracy rate is further","PeriodicalId":505809,"journal":{"name":"International Journal of Modeling, Simulation, and Scientific Computing","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140215239","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}
Pub Date : 2024-03-18DOI: 10.1142/s1793962325500011
Muhammad Bilal, Eugénio M. Rocha, M. Asif Zahoor Raja, Shafia Bilal, Iftikhar Ahmad, Muhammad Usman, Muhammad Shoaib
{"title":"Advancements in Epidemiological Modeling: Bayesian Regularization Neural Networks for Smoke Dynamics","authors":"Muhammad Bilal, Eugénio M. Rocha, M. Asif Zahoor Raja, Shafia Bilal, Iftikhar Ahmad, Muhammad Usman, Muhammad Shoaib","doi":"10.1142/s1793962325500011","DOIUrl":"https://doi.org/10.1142/s1793962325500011","url":null,"abstract":"","PeriodicalId":505809,"journal":{"name":"International Journal of Modeling, Simulation, and Scientific Computing","volume":"344 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140232773","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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