LEADER 01026nam0-2200265 --450 001 9910904497203321 005 20241120130839.0 100 $a20241120d1969----kmuy0itay5050 ba 101 0 $aita 102 $aIT 105 $aa 001yy 200 1 $aProgramma di sviluppo dei servizi di documentazione ed informazione delle stazioni sperimentali per l'industria ...$erelazione approvata dalla Commissione ad hoc del Ministero dell'industria e commercio nella seduta del 4 aprile 1968 210 $aRoma$cConsiglio nazionale delle ricerche$d1969 215 $a229 p.$cill.$d26 cm. 225 1 $aQuaderni de La ricerca scientifica 610 0 $aIndustria 676 $a338$v17$zita 700 1$aBisogno,$bPaolo$020441 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910904497203321 952 $aA AGR 1874$b14728/2024$fFAGBC 959 $aFAGBC 996 $aProgramma di sviluppo dei servizi di documentazione ed informazione delle stazioni sperimentali per l'industria ..$94290454 997 $aUNINA LEADER 05552nam 22007215 450 001 9910863132903321 005 20251010082407.0 010 $a9789811542916 010 $a9811542910 024 7 $a10.1007/978-981-15-4291-6 035 $a(CKB)4100000011506520 035 $a(MiAaPQ)EBC6371561 035 $a(DE-He213)978-981-15-4291-6 035 $a(PPN)256144141 035 $a(Perlego)3482012 035 $a(EXLCZ)994100000011506520 100 $a20201012d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAI and Robotics in Disaster Studies /$fedited by T. V. Vijay Kumar, Keshav Sud 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Palgrave Macmillan,$d2020. 215 $a1 online resource (XIX, 263 p. 38 illus.) 225 1 $aDisaster Research and Management Series on the Global South,$x2662-4184 311 08$a9789811542909 311 08$a9811542902 320 $aIncludes bibliographical references. 327 $a1. 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. . 330 $aThe book promotes a meaningful and appropriate dialogue and cross-disciplinary partnerships on Artificial Intelligence (AI) in governance and disaster management. The frequency and the cost of losses and damages due to disasters are rising every year. From wildfires to tsunamis, drought to hurricanes, floods to landslides combined with chemical, nuclear and biological disasters of epidemic proportions has increased human vulnerability and ecosystem sustainability. Life is not as it used to be and governance to manage disasters cannot be a business as usual. The quantum and proportion of responsibilities with the emergency services has increased many times to strain them beyond their human capacities. It?s time that the struggling disaster management services get supported and facilitated by new technology of combining AI and Machine Learning (ML) with Data Analytics Technologies (DAT) to serve people and government in disaster management. AI and ML have advanced to a state where they could be utilized for many operations in disaster risk reduction. Even though many disasters cannot be prevented and a number of them are blind natural disasters yet through an appropriate application of AI and ML quick predictions, vulnerability identification and classification of relief and rescue operations could be achieved. Prof. Dr T.V. Vijay Kumar is Professor and Dean, School of Computer and Systems Sciences, Jawaharlal Nehru University (JNU), Delhi, India. Dr Keshav Sud is currently working as Senior Manager of Data Science at Keurig Dr Pepper where he is leading the development of recommendation engines. Dr. Sud is a well-recognized expert in the field of AI with first authorship of numerous scholarly articles in internationally recognized professional publications. 410 0$aDisaster Research and Management Series on the Global South,$x2662-4184 606 $aManagement 606 $aClimatology 606 $aEnvironmental management 606 $aRobotics 606 $aExpert systems (Computer science) 606 $aManagement 606 $aClimate Sciences 606 $aEnvironmental Management 606 $aRobotics 606 $aKnowledge Based Systems 615 0$aManagement. 615 0$aClimatology. 615 0$aEnvironmental management. 615 0$aRobotics. 615 0$aExpert systems (Computer science) 615 14$aManagement. 615 24$aClimate Sciences. 615 24$aEnvironmental Management. 615 24$aRobotics. 615 24$aKnowledge Based Systems. 676 $a363.340284 702 $aKumar$b T. V. Vijay 702 $aSud$b Keshav 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910863132903321 996 $aAI and robotics in disaster studies$92529899 997 $aUNINA