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Titlebook: Machine Intelligence and Emerging Technologies; First International Md. Shahriare Satu,Mohammad Ali Moni,Mohammad Sham Conference proceedi

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发表于 2025-3-21 17:40:31 | 显示全部楼层 |阅读模式
书目名称Machine Intelligence and Emerging Technologies
副标题First International
编辑Md. Shahriare Satu,Mohammad Ali Moni,Mohammad Sham
视频video
丛书名称Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
图书封面Titlebook: Machine Intelligence and Emerging Technologies; First International  Md. Shahriare Satu,Mohammad Ali Moni,Mohammad Sham Conference proceedi
描述The two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23–25, 2022. .The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, and research challenges in the field of artificial intelligence and emerging technologies.  It will be helpful for active researchers and practitioners in this field. These papers are organized in the following topical sections: imaging for disease detection; pattern recognition and natural language processing; bio signals and recommendation systems for wellbeing; network, security and nanotechnology; and emerging technologies for society and industry..
出版日期Conference proceedings 2023
关键词access control; architecture analyis; artificial intelligence; automata theory; clustering algorithms; co
版次1
doihttps://doi.org/10.1007/978-3-031-34622-4
isbn_softcover978-3-031-34621-7
isbn_ebook978-3-031-34622-4Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2023
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978-3-031-34621-7ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2023
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Conference proceedings 2023ies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23–25, 2022. .The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, an
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Design and Implementation of a Drowsiness Detection System Up to Extended Head Angle Using FaceMesh detect the drowsiness of the driver with 97.5% accuracy in straight face position, as well as the response time of the system is calculated that is around 3 s. We have found out that our proposed system is less complex in design, low cost and performs better than related contemporary works.
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Integrated Music Recommendation System Using Collaborative and Content Based Filtering, and Sentimen to create a novel dataset and use it to suggest songs based on the mood. K performs better for a smaller value of K, but CF improves as K increases. CF improves as K is increased while K works better for a lower value of K. By comparing all results, TF-IDF outperforms SVM and NB in sentiment analysis.
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1867-8211 Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23–25, 2022. .The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applic
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Epileptic Seizure Prediction Using Bandpass Filtering and Convolutional Neural Networkuracy of 89.5%, sensitivity 89.7%, precision 89.0% and AUC, the area under the curve is 89.5% with our proposed model. In addition, we have addressed several researchers’ seizure prediction models, sketched their core mechanism, predictive effectiveness, and compared them with ours.
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