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1. |
Record Nr. |
UNINA9910495935503321 |
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Autore |
David Franck |
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Titolo |
Comprendre le monument aux morts : Lieu du souvenir, lieu de mémoire, lieu d’histoire / / Franck David |
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Pubbl/distr/stampa |
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Talmont-Saint-Hilaire, : Éditions Codex, 2021 |
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ISBN |
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Descrizione fisica |
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1 online resource (130 p.) |
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Collana |
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Soggetti |
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World War, 1914-1918 - Monuments - France |
War memorials - Social aspects - France |
World War, 1914-1918 - Historiography |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Poser la question de la place du monument aux morts, de sa pertinence dans le paysage des contemporains et du sens qu’il renferme. Il est là depuis des lustres, scellé dans le présent avec l’assurance de l’éternité. Pourtant quels regards se posent sur lui ? Les gestes du quotidien le contournent. Muet, invisible, hors d’atteinte, il est né du souvenir pour finir monument de l’oubli. Lieu sacralisé par la mémoire, il cherche sa dimension historique. Le monument aux morts serait-il devenu un « non-lieu », un de ces endroits de l’évitement et du passage fugitif ? Le moment est venu de lui accorder le statut de monument historique, de le faire entrer dans le patrimoine commun. L’objet de ce livre est de le considérer sans emphase ni tabou, comme trace d’un passé et d’une histoire collective faite de destins individuels. Avec quelques clés il devient possible désormais de rendre audible à nouveau sa dimension symbolique, de redonner vie aux noms qui l’habitent. A un siècle de distance le monument aux morts peut simplement se raconter à quiconque viendra à sa rencontre. |
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2. |
Record Nr. |
UNINA9910254848903321 |
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Titolo |
Information Technology in Disaster Risk Reduction : First IFIP TC 5 DCITDRR International Conference, ITDRR 2016, Sofia, Bulgaria, November 16–18, 2016, Revised Selected Papers / / edited by Yuko Murayama, Dimiter Velev, Plamena Zlateva, Jose J. Gonzalez |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XIII, 268 p. 89 illus.) |
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Collana |
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IFIP Advances in Information and Communication Technology, , 1868-422X ; ; 501 |
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Disciplina |
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Soggetti |
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Application software |
Computers and civilization |
Software engineering |
Data protection |
Computer networks |
Computer and Information Systems Applications |
Computers and Society |
Software Engineering |
Data and Information Security |
Computer Communication Networks |
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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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Note generali |
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Sommario/riassunto |
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This volume constitutes the refereed post-conference proceedings of the First IFIP TC 5 DCDRR International Conference on Information Technology in Disaster Risk Reduction, ITDRR 2016, held in Sofia, Bulgaria, in November 2016. The 20 revised full papers presented were carefully reviewed and selected from 52 submissions. The papers focus on various aspects and challenges of coping with disaster risk reduction. The main topics include areas such as big data, cloud computing, the Internet of Things, natural disasters, mobile computing, |
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emergency management, disaster information processing, disaster risk assessment and management, and disaster management simulation. |
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3. |
Record Nr. |
UNINA9911020266203321 |
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Autore |
Gupta Deepak |
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Titolo |
Computational Intelligence for Autonomous Finance |
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Pubbl/distr/stampa |
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Newark : , : John Wiley & Sons, Incorporated, , 2024 |
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©2024 |
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ISBN |
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9781394233236 |
139423323X |
9781394233250 |
1394233256 |
9781394233243 |
1394233248 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (337 pages) |
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Collana |
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Fintech in a Sustainable Digital Society Series |
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Altri autori (Persone) |
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GuptaMukul |
DhanarajRajesh Kumar |
BalusamyBalamurugan |
GuptaParth M |
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Disciplina |
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Soggetti |
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Finance - Technological innovations |
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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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Sommario/riassunto |
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The book serves as an essential guide and a deep dive into the intersection of AI and finance, providing readers with a thorough understanding of the current state, challenges, and future possibilities of autonomous financial systems. In the rapidly evolving domain of autonomous finance, the convergence of computational intelligence techniques and financial technologies has paved the way for a new era of financial services. This transformation is driven by the integration of artificial intelligence (AI), machine learning (ML), blockchain, and big data analytics into financial systems, leading to the development of |
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more responsive, efficient, and personalized financial products and services. Computational Intelligence for Autonomous Finance delves into the heart of this technological revolution, offering a comprehensive exploration of the theoretical foundations, practical applications, and future prospects of computational intelligence in the financial sector. The backbone of autonomous finance is a complex, interconnected ecosystem that leverages computational intelligence to automate decision-making processes, optimize financial operations, and enhance customer experiences. The book introduces the concept of an Intelligent Autonomous Financial Network (IAFN), which integrates various computational intelligence techniques with cutting-edge financial technologies to create a self-organizing, adaptive, and scalable financial system. The IAFN framework facilitates seamless interactions between diverse financial entities, enabling the provision of innovative financial services such as automated trading, real-time risk management, personalized financial planning, and fraud detection. The book meticulously analyzes the key challenges including data security and privacy concerns, algorithmic biases, regulatory compliance, and the need for interoperable standards. It also presents state-of-the-art solutions and best practices for overcoming these challenges, emphasizing the importance of ethical AI, robust data protection mechanisms, transparent algorithms, and collaborative regulatory frameworks. It discusses emerging trends such as quantum computing, edge computing, and decentralized finance (DeFi), highlighting their potential to further transform the financial landscape. The book also addresses the societal implications of autonomous finance, including its impact on employment, wealth distribution, and financial inclusion, advocating for a balanced approach that maximizes benefits while minimizing negative outcomes. Audience This book is aimed at researchers, industry professionals, policymakers, and graduate students in finance, computational intelligence, and related fields. |
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