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Titre : Markets and Conflict : Economics of War and Peace Type de document : e-book Auteurs : William R. PATTERSON Editeur : ELSEVIER SCIENCE Année de publication : 2024 ISBN/ISSN/EAN : 9780323855259 Note générale : copyrighted Langues : Anglais (eng) Résumé : Markets and Conflict: Economics of War and Peace explores the causes, impacts, and linkages of contemporary geopolitics, markets, and conflict along with their economic impacts on all stakeholders. It compiles the most current research and insights about market behaviours during conflicts of different types and severity, detailing how markets actually respond and what readers can do to implement a proactive early-response strategy. Today's international "order" is one characterized by instability and pervasive danger. Russia's invasion of Ukraine, escalating tension over the status of Taiwan, frozen and active civil wars across dozens of countries, and continued turmoil in the Middle East, including in Syria, Yemen, and Israel, are only some examples of ongoing or potential conflicts. Major and minor armed conflicts flare up or threaten to do so on a continual basis. Market responses to this instability are often irrational and shortsighted. Fear induces volatility in markets, based on panicked efforts to protect individual interests. Markets and Conflict: Economics of War and Peace presents a comprehensive understanding of conflict and market dynamics to enable market participants to make informed judgments. Additionally, it provides lessons related to macro-level dynamics useful to governments and policy analysts. - Compiles and analyzes extant literature on how confl ict and markets interact - Offers strategies to ease or prevent the effects of confl ict - Utilizes a well-structured, clearly written, comprehensive, multidisciplinary approach - Presents self-contained chapters each with conceptual overviews and defi nitions Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88969407 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=607978 Multi-Criteria Decision-Making Sorting Methods : Applications to Real-World Problems / ELSEVIER SCIENCE (2023)
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Titre : Multi-Criteria Decision-Making Sorting Methods : Applications to Real-World Problems Type de document : e-book Editeur : ELSEVIER SCIENCE Année de publication : 2023 Importance : 280 p. ISBN/ISSN/EAN : 978-0-323-85232-6 Langues : Anglais (eng) Mots-clés : Management
PRISE DE DECISION ; CONFLITRésumé : Multi Criteria Decision Making (MCDM) is a generic term for all methods that help people making decisions according to their preferences, in situations where there is more than one conflicting criterion. It is a branch of operational research dealing with finding optimal results in complex scenarios including various indicators, conflicting objectives and criteria. The approach of MCDM involves decision making concerning quantitative and qualitative factors. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/ne [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=574546 Recent Developments in Green Finance, Green Growth and Carbon Neutrality / Muhammad SHAHBAZ / ELSEVIER SCIENCE (2023)
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Titre : Recent Developments in Green Finance, Green Growth and Carbon Neutrality Type de document : e-book Auteurs : Muhammad SHAHBAZ Editeur : ELSEVIER SCIENCE Année de publication : 2023 ISBN/ISSN/EAN : 9780443159367 Note générale : copyrighted Langues : Anglais (eng) Résumé : Recent Developments in Green Finance, Green Growth and Carbon Neutrality explains the role of green finance in transforming the global economy into a green and carbon neutral one. The book explores the synergy between green growth strategy and green finance policy (2G) and carbon neutrality in an economic-environmental-financial framework that helps readers understand how to design a feasible path toward achieving carbon neutrality through economic initiatives and financial innovations. It shows how to apply the notion of green growth to organizations and illustrates the need for a theory of energy economics that estimates the benefits of a low-carbon transition and carbon neutrality. Sections include historical background, relevant literature necessary to understand topics, the notions of green finance, green growth and carbon neutrality from an economic perspective. Other sections cover models and methods of carbon neutrality assessment, the nexus between carbon neutrality and economic development, green growth and financial development, green finance and green energy exploration and consumption, and more. Two chapters specifically focused on UN SDGs 7 and 13 round out the book, and it concludes with a final section that gathers and integrates the concepts discussed throughout the book. - Uses green finance and green growth to develop a framework for achieving a carbon neutral society - Brings together current knowledge in this field of research, then goes further to explain relevant concepts and the theoretical and empirical relationship between carbon neutrality, green growth and green finance - Includes two chapters dedicated to a discussion of the United Nations Sustainable Development Goals 7 and 13 which underpin this book Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88969422 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=607988
Titre : 5G IoT and Edge Computing for Smart Healthcare Type de document : e-book Auteurs : Akash Kumar BHOI Editeur : ELSEVIER SCIENCE Année de publication : 2022 ISBN/ISSN/EAN : 9780323905480 Note générale : copyrighted Langues : Anglais (eng) Résumé : 5G IoT and Edge Computing for Smart Healthcare addresses the importance of a 5G IoT and Edge-Cognitive-Computing-based system for the successful implementation and realization of a smart-healthcare system. The book provides insights on 5G technologies, along with intelligent processing algorithms/processors that have been adopted for processing the medical data that would assist in addressing the challenges in computer-aided diagnosis and clinical risk analysis on a real-time basis. Each chapter is self-sufficient, solving real-time problems through novel approaches that help the audience acquire the right knowledge. With the progressive development of medical and communication - computer technologies, the healthcare system has seen a tremendous opportunity to support the demand of today's new requirements. Focuses on the advancement of 5G in terms of its security and privacy aspects, which is very important in health care systems Address advancements in signal processing and, more specifically, the cognitive computing algorithm to make the system more real-time Gives insights into various information-processing models and the architecture of layers to realize a 5G based smart health care system Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88955608 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=585054
Titre : Advanced Data Mining Tools and Methods for Social Computing Type de document : e-book Auteurs : Sourav DE Editeur : ELSEVIER SCIENCE Année de publication : 2022 ISBN/ISSN/EAN : 9780323857086 Note générale : copyrighted Langues : Anglais (eng) Résumé : Advanced Data Mining Tools and Methods for Social Computing explores advances in the latest data mining tools, methods, algorithms and the architectures being developed specifically for social computing and social network analysis. The book reviews major emerging trends in technology that are supporting current advancements in social networks, including data mining techniques and tools. It also aims to highlight the advancement of conventional approaches in the field of social networking. Chapter coverage includes reviews of novel techniques and state-of-the-art advances in the area of data mining, machine learning, soft computing techniques, and their applications in the field of social network analysis. Provides insights into the latest research trends in social network analysis Covers a broad range of data mining tools and methods for social computing and analysis Includes practical examples and case studies across a range of tools and methods Features coding examples and supplementary data sets in every chapter Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88930382 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=549369 PermalinkPermalinkPermalinkArtificial Intelligence for Healthcare Applications and Management / Boris GALITSKY / ELSEVIER SCIENCE (2022)
PermalinkPermalinkClassification Made Relevant : How Scientists Build and Use Classifications and Ontologies / Jules J. BERMAN / ELSEVIER SCIENCE (2022)
PermalinkCustomized Production Through 3D Printing in Cloud Manufacturing / Lin ZHANG / ELSEVIER SCIENCE (2022)
PermalinkDeep Network Design for Medical Image Computing : Principles and Applications / Haofu LIAO / ELSEVIER SCIENCE (2022)
PermalinkDesigning Secure IoT Devices with the Arm Platform Security Architecture and Cortex-M33 / Trevor MARTIN / ELSEVIER SCIENCE (2022)
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