LEADER 01590nam 22004333a 450 001 9910404247403321 005 20250204001712.0 024 8 $ahttps://doi.org/10.3897/ab.e4002 035 $a(CKB)4100000011302484 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/47756 035 $a(ScCtBLL)8c303c6b-c819-48d4-bbb9-9bff1ea63260 035 $a(Perlego)2937417 035 $a(oapen)doab47756 035 $a(EXLCZ)994100000011302484 100 $a20250204i20142021 uu 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aFlora of Northumberland and Durham$fNathaniel John Winch, Quentin John Groom 210 $cPensoft Publishers$d2014 210 1$a[s.l.] :$cPensoft Publishers,$d2014. 215 $a1 electronic resource (149 p.) 311 08$a9789546427465 311 08$a9546427462 330 $aThe classical treatise "Flora of Northumberland and Durham" by Nathaniel John Winch is re-published through the innovative Advanced Books platform as an example of combining modern information technology together with historical scholarship to create a new sort of resource and data re-use. 606 $aNature / Plants$2bisacsh 606 $aNature 615 7$aNature / Plants 615 0$aNature. 700 $aWinch$b Nathaniel John$01786470 702 $aGroom$b Quentin John 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910404247403321 996 $aFlora of Northumberland and Durham$94318171 997 $aUNINA LEADER 04240nam 22006135 450 001 9910736016503321 005 20251008153428.0 010 $a3-031-32138-3 024 7 $a10.1007/978-3-031-32138-2 035 $a(MiAaPQ)EBC30667424 035 $a(Au-PeEL)EBL30667424 035 $a(DE-He213)978-3-031-32138-2 035 $a(PPN)272253138 035 $a(CKB)27865545400041 035 $a(EXLCZ)9927865545400041 100 $a20230725d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aReinforcement Learning for Maritime Communications /$fby Liang Xiao, Helin Yang, Weihua Zhuang, Minghui Min 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (ix, 146 pages) $cillustrations (chiefly color) 225 1 $aWireless Networks,$x2366-1445 311 08$aPrint version: Xiao, Liang Reinforcement Learning for Maritime Communications Cham : Springer International Publishing AG,c2023 9783031321375 320 $aIncludes bibliographical references. 327 $aIntroduction -- 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. 330 $aThis book demonstrates that the reliable and secure communication performance of maritime communications can be significantly improved by using intelligent reflecting surface (IRS) aided communication, privacy-aware Internet of Things (IoT) communications, intelligent resource management and location privacy protection. In the IRS aided maritime communication system, the reflecting elements of IRS can be intelligently controlled to change the phase of signal, and finally enhance the received signal strength of maritime ships (or sensors) or jam maritime eavesdroppers illustrated in this book. The power and spectrum resource in maritime communications can be jointly optimized to guarantee the quality of service (i.e., security and reliability requirements), and reinforcement leaning is adopted to smartly choose the resource allocation strategy. Moreover, learning based privacy-aware offloading and location privacy protection are proposed to intelligently guarantee the privacy-preserving requirements of maritime ships or (sensors). Therefore, these communication schemes based on reinforcement learning algorithms can help maritime communication systems to improve the information security, especially in dynamic and complex maritime environments. This timely book also provides broad coverage of the maritime wireless communication issues, such as reliability, security, resource management, and privacy protection. Reinforcement learning based methods are applied to solve these issues. This book includes four rigorously refereed chapters from prominent international researchers working in this subject area. The material serves as a useful reference for researchers, graduate students. Practitioners seeking solutions to maritime wireless communication and security related issues will benefit from this book as well. 410 0$aWireless Networks,$x2366-1445 606 $aComputer networks 606 $aWireless communication systems 606 $aMobile communication systems 606 $aMachine learning 606 $aComputer Communication Networks 606 $aWireless and Mobile Communication 606 $aMachine Learning 615 0$aComputer networks. 615 0$aWireless communication systems. 615 0$aMobile communication systems. 615 0$aMachine learning. 615 14$aComputer Communication Networks. 615 24$aWireless and Mobile Communication. 615 24$aMachine Learning. 676 $a297.05 700 $aXiao$b Liang$f1980-$01423771 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910736016503321 996 $aReinforcement learning for maritime communications$93552203 997 $aUNINA LEADER 04306nam 22006615 450 001 9910866582703321 005 20251113173943.0 010 $a3-031-59135-6 024 7 $a10.1007/978-3-031-59135-8 035 $a(MiAaPQ)EBC31502930 035 $a(Au-PeEL)EBL31502930 035 $a(CKB)32569751400041 035 $a(DE-He213)978-3-031-59135-8 035 $a(EXLCZ)9932569751400041 100 $a20240623d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA Primer to Causal Reasoning About a Complex World /$fby Lars-Göran Johansson, Thomas Banitz, Volker Grimm, Tilman Hertz, Emilie Lindkvist, Rodrigo Martínez Peńa, Sonja Radosavljevic, Petri Ylikoski, Maja Schlüter 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (149 pages) 225 1 $aSpringerBriefs in Philosophy,$x2211-4556 311 08$a3-031-59134-8 327 $aChapter 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. 330 $aThis open access book is about causal thinking and the use of causal language, with a focus on introducing philosophical ideas about causation to students and researchers of Social-Ecological Systems (SES). It takes a systematic approach to three central topics: the meanings of different causal expressions, sufficiency of evidence for inferences from observations to causal relations, and how to handle the complexity of causal relations in social-ecological systems. Consequently, the book is divided into three parts. In the first part the authors analyse and discuss the use of causal idiom in ordinary language, and in the second part they scrutinise the use of causal concepts and causal inference in science. Finally, the authors discuss causal reasoning about social-ecological systems in multi- and interdisciplinary contexts. This book provides an analysis of the concept of causation useful in the empirical sciences, where causal notions and idioms often are used without sufficient reflection. Empirical sciences often use causal idiom drawn from ordinary language, and similarly there is little formalisation of causal language and technical concepts in the humanities and social sciences. This book is a valuable resource for the application of current philosophical discussions about the concept of causation, in particular when applied to the analysis of social-ecological systems, but also when applied to research in the sciences and humanities. 410 0$aSpringerBriefs in Philosophy,$x2211-4556 606 $aScience$xPhilosophy 606 $aSustainability 606 $aEcology 606 $aPhilosophy of Science 606 $aSustainability 606 $aEcology 615 0$aScience$xPhilosophy. 615 0$aSustainability. 615 0$aEcology. 615 14$aPhilosophy of Science. 615 24$aSustainability. 615 24$aEcology. 676 $a501 700 $aJohansson$b Lars-Göran$0923109 701 $aBanitz$b Thomas$01747476 701 $aGrimm$b Volker$0508439 701 $aHertz$b Tilman$01747477 701 $aLindkvist$b Emilie$01747478 701 $aMartínez Peńa$b Rodrigo$01747479 701 $aRadosavljevic$b Sonja$01747480 701 $aYlikoski$b Petri$0499712 701 $aSchlüter$b Maja$01747481 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910866582703321 996 $aA Primer to Causal Reasoning about a Complex World$94179616 997 $aUNINA