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Titlebook: Human Digital Twin; Exploring Connectivi Samuel D. Okegbile,Jun Cai,Changyan Yi Book 2024 The Author(s), under exclusive license to Springe

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發(fā)表于 2025-3-21 18:50:49 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Human Digital Twin
副標(biāo)題Exploring Connectivi
編輯Samuel D. Okegbile,Jun Cai,Changyan Yi
視頻videohttp://file.papertrans.cn/430/429106/429106.mp4
概述Explores the intricate realm of human digital twin connectivity challenges.Unveils fresh perspectives on future research and paving the way for deeper exploration in the field.Serves as a compass for
叢書名稱SpringerBriefs in Computer Science
圖書封面Titlebook: Human Digital Twin; Exploring Connectivi Samuel D. Okegbile,Jun Cai,Changyan Yi Book 2024 The Author(s), under exclusive license to Springe
描述Human digital twin (HDT) is a transformative technology poised to transform various human-centric systems. With its potential applications in personalized healthcare, HDT promises swift, precise, and efficient healthcare services through the integration of cutting-edge technologies such as artificial intelligence, data analytics, internet of things, cybersecurity as well as virtual and augmented reality. This book addresses the critical gap in the existing literature by offering a comprehensive exploration of connectivity solutions for HDT while prioritizing reliability, security, and privacy. Key topics covered include the foundational concept of HDT, its design requirements and associated challenges, edge-assisted human-to-virtual solutions, blockchain-enabled data-sharing mechanisms, and differentially private federated multi-task learning (DPFML) methodologies tailored for HDT..The discussion on the concept of HDT encompasses an overview of its applications and its specific characteristics when compared to the conventional digital twin models. In addressing the design requirements and challenges of HDT, the text delves into the complexities of securing high-quality data, ensuri
出版日期Book 2024
關(guān)鍵詞Human digital twin; Blockchain; Federated multi-task learning; Privacy; Virtual twin; Artificial Intellig
版次1
doihttps://doi.org/10.1007/978-3-031-57534-1
isbn_softcover978-3-031-57533-4
isbn_ebook978-3-031-57534-1Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s), under exclusive license to Springer Nature Switzerland AG 2024
The information of publication is updating

書目名稱Human Digital Twin影響因子(影響力)




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書目名稱Human Digital Twin網(wǎng)絡(luò)公開度學(xué)科排名




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發(fā)表于 2025-3-21 20:14:04 | 只看該作者
Edge-Assisted Connectivity Framework for HDTprocess. At the same time, the deep deterministic policy gradient (DDPG) algorithm is employed to learn the optimal connectivity policy, primarily focusing on time and energy cost-efficiency. The results clearly demonstrate the effectiveness of the DDPG algorithm to provide solutions to the formulated problem.
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發(fā)表于 2025-3-22 00:36:25 | 只看該作者
Conclusions and Future Research Directionsllenges that presently impede the effective conceptualization and implementation of HDT. In doing so, this concluding chapter aims to foster a dynamic, forward-looking discourse that will contribute to the refinement and enhancement of HDT systems, ultimately driving progress and innovation in this critical domain.
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發(fā)表于 2025-3-22 08:01:38 | 只看該作者
Blockchain-Enabled Data Sharing Solution for HDTapplications. At the same time, the validation stages of such a PBFT scheme are captured using the Erlang distribution of order .. This chapter offers valuable insights and content that can serve as a practical guide for integrating blockchain technology in latency-sensitive applications such as HDT systems.
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Samuel D. Okegbile,Jun Cai,Changyan Yin Studien diesen Befund stützen, sind die Strukturen und Mechanismen der Reproduktion sozialer Ungleichheit in und durch Begabtenf?rderung kaum untersucht worden. Im vorliegenden Beitrag wendet sich der Autor dem Feld der Begabtenf?rderung im akademischen Bereich zu und fokussiert in einer empirisch
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