Shortcuts
Top of page (Alt+0)
Page content (Alt+9)
Page menu (Alt+8)
Your browser does not support javascript, some WebOpac functionallity will not be available.
PageMenu
-
Hauptmenü
-
Suchmenü
Einfache Suche
.
Erweiterte Suche
.
Zeitschriften-Suche
.
Suchergebnisse verfeinern
.
Neuerwerbungsliste nach Gruppen
.
Sortierreihenfolge
.
Benutzerdienste
Nutzeranmeldung
.
Mein Konto
.
Erwerbungsvorschlag
.
Fernleihe
.
Vormerkung
.
Verlängerung
.
Weitere Recherchemöglichkeiten
Datenbankinfosystem (DBIS)
.
Karlsruher virtueller Katalog (KVK)
.
Regensburger Systematik (RVK)
.
Elektronische Zeitschriften (EZB)
.
Zeitschriftendatenbank (ZDB)
.
Sitzung beenden
Katalog verlassen
.
Homepage WHZ
.
Hochschulbibliothek
.
© LIBERO v6.4.1sp240211
Page content
Sie befinden sich hier
:
>
Erweitertes Suchen
>
Zweigstelleninformation
Kategorienanzeige
Kategorienanzeige
MAB
AI and Robotics in Disaster Studies
Kategorie
Beschreibung
036a
XB-SG
037b
eng
087q
978-981-15-4290-9
087q
978-981-15-4292-3
100b
Kumar, T. V. Vijay ¬[HerausgeberIn]¬
104b
Sud, Keshav ¬[HerausgeberIn]¬
331
AI and Robotics in Disaster Studies
403
1st ed. 2020.
410
Singapore
410
Singapore
412
Springer Singapore
412
Imprint: Palgrave Macmillan
425
2020
425
2020
425a
2020
433
1 Online-Ressource(XIX, 263 p. 38 illus.)
451b
Disaster Research and Management Series on the Global South
527
Erscheint auch als (Druck-Ausgabe)ISBN: 978-981-15-4290-9
527
Erscheint auch als (Druck-Ausgabe)ISBN: 978-981-15-4292-3
540a
ISBN 978-981-15-4291-6
700
|KJJ
700
|BUS072000
700b
|658.408
750
1. Introduction: Enhancing Capacity to Manage Disasters -- Part I: New Technologies in Disaster Management -- 2. Artificial Intelligence and Early Warning Systems -- 3. Artificial Intelligence in Disaster Management -- 4. Optimal visual Cues for Smartphone Earthquake Alert Systems: Preliminary Data from Lab and Field Experiments -- 5. Using Artificial Intelligence and Social Media for Disaster Response and Management: An Overview -- 6. ‘Internet of Things’ Applications in Disaster Management -- 7. Samvad: Reaching Out Through Radio and Wireless Network -- 8. Usages of AI Technologies in Nepal’s Disaster Management -- Part II: Government, Governance and Law -- 9. Enhancing Accountability and Triadic Collaboration in Disaster Governance of Sri Lanka -- 10. Artificial Intelligence and the Legal Response Paradigms in Disaster Management -- 11. Artificial Intelligence in Disaster Management in Sri Lanka: Problems and Prospects -- 12. Applications of Artificial Intelligence in Reconstruction Governance Lessons from Nepal Earthquakes -- 13. ICT Infrastructure of Disaster Management in India -- Part III: Building Community Resilience Through AI -- 14. Can Community Plans Really Talk? Integrating and Strengthening Communications Through Artificial Intelligence -- 15. The Challenge of Resilience in an Age of Artificial Intelligence -- 16. AI in an Urban Village in Delhi -- Part IV: Extraneous Influences and Ethics in AI Applications -- 17. Prevent AI from Influences: A Challenge for Lazy, Profligate Governments. 18. The Final Alert on Ethics in AI Based Technology. .
753
The book promotes a meaningful and appropriate dialogue and cross-disciplinary partnerships on Artificial Intelligence (AI) in governance and disaster management. The frequency and the cost of losses and damages due to disasters are rising every year. From wildfires to tsunamis, drought to hurricanes, floods to landslides combined with chemical, nuclear and biological disasters of epidemic proportions has increased human vulnerability and ecosystem sustainability. Life is not as it used to be and governance to manage disasters cannot be a business as usual. The quantum and proportion of responsibilities with the emergency services has increased many times to strain them beyond their human capacities. It’s time that the struggling disaster management services get supported and facilitated by new technology of combining AI and Machine Learning (ML) with Data Analytics Technologies (DAT) to serve people and government in disaster management. AI and ML have advanced to a state where they could be utilized for many operations in disaster risk reduction. Even though many disasters cannot be prevented and a number of them are blind natural disasters yet through an appropriate application of AI and ML quick predictions, vulnerability identification and classification of relief and rescue operations could be achieved. Prof. Dr T.V. Vijay Kumar is Professor and Dean, School of Computer and Systems Sciences, Jawaharlal Nehru University (JNU), Delhi, India. Dr Keshav Sud is currently working as Senior Manager of Data Science at Keurig Dr Pepper where he is leading the development of recommendation engines. Dr. Sud is a well-recognized expert in the field of AI with first authorship of numerous scholarly articles in internationally recognized professional publications.
012
1737525291
081
AI and Robotics in Disaster Studies
100
Springer E-Book
125a
Elektronischer Volltext - Campuslizenz
655e
$uhttps://doi.org/10.1007/978-981-15-4291-6
Schnellsuche
Suche nach