LEADER 01285nam--2200385---450- 001 990002786930203316 005 20060721124800.0 010 $a1-85539-078-7 035 $a000278693 035 $aUSA01000278693 035 $a(ALEPH)000278693USA01 035 $a000278693 100 $a20060721d2001----km-y0itay50------ba 101 0 $aeng 102 $aGB 105 $aa|||z|||001yy 200 1 $a<> alps approach resource book$eaccelerated learning in primary schools$ea practical approach to using brain-based methods in the primary classroom$fAlistair Smith & Nicola Call 210 $aStafford$cNetwork Educational Press$d2001 215 $a223 p.$cill.$d30 cm 225 2 $a<> accelerated learning series 410 0$12001$a<> accelerated learning series 606 0 $aPsicologia educativa 606 0 $aApprendimento 606 0 $aIstruzione elementare$yGran Bretagna 676 $a370.15 700 1$aSMITH,$bAlistair$0594213 701 1$aCALL,$bNicola$0594214 801 0$aIT$bsalbc$gISBD 912 $a990002786930203316 951 $aII.4. 3513(VI B 1028)$b189826 L.M.$cII.4.$d00127250 959 $aBK 969 $aUMA 979 $aANNAMARIA$b90$c20060721$lUSA01$h1248 996 $aAlps approach resource book$9996345 997 $aUNISA LEADER 00932nam a2200265 i 4500 001 991003995549707536 005 20250709105154.0 008 990915s1972 it er 001 0 ita 035 $ab11246285-39ule_inst 035 $aPARLA192916$9ExL 040 $aDip.to Scienze Storiche Fil. e Geogr.$bita$dSocioculturale Scs 041 0 $aita 082 0 $a329 082 04$a324.2$223 245 12$aI partiti politici in Italia /$c[a cura di] Gabriele De Rosa 260 $aBergamo :$bMinerva italica,$c1972 300 $a530 p. ;$c22 cm 650 4$aPartiti$zItalia$xStoria 700 1 $aDe Rosa, Gabriele$d<1917-2009> 907 $a.b11246285$b05-05-11$c01-07-02 912 $a991003995549707536 945 $aLE009 STOR.69.1-40$g1$i2009000367890$lle009$o-$pE0.00$q-$rl$s-$t0$u1$v0$w1$x0$y.i11405648$z01-07-02 996 $aPartiti politici in Italia$9869200 997 $aUNISALENTO 998 $ale009$b01-01-99$cm$da$e-$fita$git$h2$i1 LEADER 06643nam 22006735 450 001 9910917789003321 005 20250408035221.0 010 $a9783031733505 010 $a3031733509 024 7 $a10.1007/978-3-031-73350-5 035 $a(MiAaPQ)EBC31837022 035 $a(Au-PeEL)EBL31837022 035 $a(CKB)37018326300041 035 $a(DE-He213)978-3-031-73350-5 035 $a(OCoLC)1482278146 035 $a(EXLCZ)9937018326300041 100 $a20241214d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Rise of Quantum Computing in Industry 6.0 Towards Sustainability $eRevolutionizing Smart Disaster Management /$fedited by C Kishor Kumar Reddy, Anindya Nag, Mariya Ouaissa, Bharat Bhushan, Marlia Mohd Hanafiah 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (286 pages) 225 1 $aAdvances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development,$x2522-8722 311 08$a9783031733499 311 08$a3031733495 327 $aChapter 1. Implementing Advanced Technologies for Disaster Management in the Age of Industry 6.0 Strategies and Best Practices Using Quantum Computing.-Chapter 2. Disaster Management in the Era of Industry 6.0: Leveraging Quantum Computing for Enhanced Resilience and Sustainability -- Chapter 3. Quantum Computing and AI: Synergizing for Sustainable Disaster Management in Industry 6.0 -- Chapter 4. Navigating the Intersection of Industry 6.0, Quantum Computing, and Disaster Management: Consumer Insights and Technological Impact -- Chapter 5. Quantum-Powered Industry 6.0 Innovations for Enhanced Catastrophe Management -- Chapter 6. Leveraging Quantum Computing for Enhanced Decision Support in Disaster Management -- Chapter 7. Impact of Quantum Computing on health Informatics for Disaster Preparedeness -- Chapter 8. Quantum-based predictive modelling for extreme weather events -- Chapter 9. Utilizing Quantum Computing for Enhanced Natural Disaster Prediction and Mitigation Strategies -- Chapter 10. Advancing Disaster Management in Industry 6.0: The Role of DNA Sequencing Sensors and Quantum Computing in Hyperspectral Image Analysis -- Chapter 11. An Empirical Study into Quantum Machine Learning for Precise and Effective Weather Forecasting -- Chapter 12. Quantum-Enhanced Strategies for Optimizing Disaster Response: A Machine Learning Approach -- Chapter 13. Quantum Computing based Climate Change Mitigation for Disaster Management in Industry 6.0 -- Chapter 14. Cyber-Physical Systems Security and Quantum Computing Applications in Disaster Recovery for Industry 6.0 -- Chapter 15. Quantum LSTM-Based Deep Learning and Hybrid Hydrodynamic Modeling of Mahanadi River Network -- Chapter 16. The Intersection of Quantum Computing and Disaster Management. 330 $aThe proposed book offers a thorough examination of the revolutionary capabilities of quantum computing in the context of Industry 6.0, with a specific emphasis on its use in disaster management. The aim of this proposed book is to clarify how quantum computing, in conjunction with other Industry 6.0 technologies, might profoundly transform our comprehension, preparedness, and response to natural disasters. In the era of Industry 6.0, which is defined by the integration of cyber-physical systems and modern technology, there is a pressing need for creative solutions to tackle the increasing difficulties caused by natural disasters. This proposed book explores the distinctive characteristics and capacities of quantum computing that make it especially suitable for improving disaster management procedures. The proposed book examines the potential of quantum algorithms to enhance resource allocation, enhance forecasting precision, and facilitate real-time decision-making in the context of rapidly changing crisis scenarios. This proposed book proposes a comprehensive strategy for catastrophe management that is adaptable, robust, and efficient by utilizing quantum computing in conjunction with other advanced technologies like quantum computing, artificial intelligence, the Intelligent Internet of Things. This proposed book offers a comprehensive analysis of the specific ways in which quantum computing can be utilized in different areas of disaster management. It covers topics such as risk assessment, early warning systems, response coordination, and infrastructure resilience. By examining real-world case studies and examples, readers can acquire valuable insights into the practical implementation and effectiveness of quantum-powered crisis management solutions, showcasing their potential impact. This proposed book acknowledges the ethical consequences of implementing sophisticated technologies in disaster management. It focuses on important ethical and societal factors, including data privacy, algorithmic bias, and fair access to technology. The aim is to ensure that quantum-powered solutions prioritize ethical principles and cater to the requirements of all communities. This proposed book provides readers with a clear understanding of the potential areas for future study, innovation, and collaboration in the field of quantum-powered crisis management systems. By doing so, it enables readers to stay updated on current trends and actively contribute to the continuous development of these solutions. 410 0$aAdvances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development,$x2522-8722 606 $aComputer science 606 $aQuantum computers 606 $aComputer engineering 606 $aComputer networks 606 $aComputer Science 606 $aQuantum Computing 606 $aComputer Engineering and Networks 615 0$aComputer science. 615 0$aQuantum computers. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aComputer Science. 615 24$aQuantum Computing. 615 24$aComputer Engineering and Networks. 676 $a004 700 $aReddy$b C. Kishor Kumar$01775391 701 $aNag$b Anindya$0999620 701 $aOuaissa$b Mariya$01380452 701 $aBhushan$b Bharat$0151428 701 $aMarlia Mohd. Hanafiah$01887507 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910917789003321 996 $aThe Rise of Quantum Computing in Industry 6.0 Towards Sustainability$94524491 997 $aUNINA