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1. |
Record Nr. |
UNINA9910736016503321 |
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Autore |
Xiao Liang <1980-> |
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Titolo |
Reinforcement Learning for Maritime Communications / / by Liang Xiao, Helin Yang, Weihua Zhuang, Minghui Min |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (ix, 146 pages) : illustrations (chiefly color) |
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Collana |
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Wireless Networks, , 2366-1445 |
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Disciplina |
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Soggetti |
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Computer networks |
Wireless communication systems |
Mobile communication systems |
Machine learning |
Computer Communication Networks |
Wireless and Mobile Communication |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction -- Intelligent Internet of Things Networking Architecture -- Intelligent IoT Network Awareness -- Intelligent Traffic Control -- Intelligent Resource Scheduling -- Mobile Edge Computing Enabled Intelligent IoT -- Blockchain Enabled Intelligent IoT -- Conclusions and Future Challenges. |
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Sommario/riassunto |
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This book demonstrates that the reliable and secure communication performance of maritime communications can be significantly improved by using intelligent reflecting surface (IRS) aided communication, privacy-aware Internet of Things (IoT) communications, intelligent resource management and location privacy protection. In the IRS aided maritime communication system, the reflecting elements of IRS can be intelligently controlled to change the phase of signal, and finally enhance the received signal strength of maritime ships (or sensors) or jam maritime eavesdroppers illustrated in this book. The power and spectrum resource in maritime communications can be jointly optimized to guarantee the quality of |
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service (i.e., security and reliability requirements), and reinforcement leaning is adopted to smartly choose the resource allocation strategy. Moreover, learning based privacy-aware offloading and location privacy protection are proposed to intelligently guarantee the privacy-preserving requirements of maritime ships or (sensors). Therefore, these communication schemes based on reinforcement learning algorithms can help maritime communication systems to improve the information security, especially in dynamic and complex maritime environments. This timely book also provides broad coverage of the maritime wireless communication issues, such as reliability, security, resource management, and privacy protection. Reinforcement learning based methods are applied to solve these issues. This book includes four rigorously refereed chapters from prominent international researchers working in this subject area. The material serves as a useful reference for researchers, graduate students. Practitioners seeking solutions to maritime wireless communication and security related issues will benefit from this book as well. |
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2. |
Record Nr. |
UNINA9910866582703321 |
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Autore |
Johansson Lars-Göran |
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Titolo |
A Primer to Causal Reasoning About a Complex World / / by Lars-Göran Johansson, Thomas Banitz, Volker Grimm, Tilman Hertz, Emilie Lindkvist, Rodrigo Martínez Peña, Sonja Radosavljevic, Petri Ylikoski, Maja Schlüter |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (149 pages) |
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Collana |
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SpringerBriefs in Philosophy, , 2211-4556 |
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Altri autori (Persone) |
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BanitzThomas |
GrimmVolker |
HertzTilman |
LindkvistEmilie |
Martínez PeñaRodrigo |
RadosavljevicSonja |
YlikoskiPetri |
SchlüterMaja |
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Disciplina |
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Soggetti |
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Science - Philosophy |
Sustainability |
Ecology |
Philosophy of Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. Introduction: Causation in Social-Ecological Systems -- Part I: Semantics of causal expressions -- Chapter 2. Causal Talk Permeates Ordinary Language -- Chapter 3. Causal Talk is Fundamental -- Chapter 4. Causation, Counterfactual Dependence and Potential Outcomes -- Part II: Causation in Science -- Chapter 5. Causal Relations and Causal Relata in Science -- Chapter 6. Causation, Laws and Regularities -- Chapter 7. Inferences from Statistics to Causation -- Chapter 8. Causal Explanations -- Part III: Causation in Complex SES -- Chapter 9. Causation in Social-Ecological Systems Research -- Part IV: Appendices -- A How Does a Theory Relate to Reality? -- B Models -- C. Confidence Intervals and Correlations. |
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Sommario/riassunto |
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This open access book is about causal thinking and the use of causal language, with a focus on introducing philosophical ideas about causation to students and researchers of Social-Ecological Systems (SES). It takes a systematic approach to three central topics: the meanings of different causal expressions, sufficiency of evidence for inferences from observations to causal relations, and how to handle the complexity of causal relations in social-ecological systems. Consequently, the book is divided into three parts. In the first part the authors analyse and discuss the use of causal idiom in ordinary language, and in the second part they scrutinise the use of causal concepts and causal inference in science. Finally, the authors discuss causal reasoning about social-ecological systems in multi- and interdisciplinary contexts. This book provides an analysis of the concept of causation useful in the empirical sciences, where causal notions and idioms often are used without sufficient reflection. Empirical sciences often use causal idiom drawn from ordinary language, and similarly there is little formalisation of causal language and technical concepts in the humanities and social sciences. This book is a valuable resource for the application of current philosophical discussions about the concept of causation, in particular when applied to the analysis of social-ecological systems, but also when applied to research in the sciences and humanities. |
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