AI, Blockchain and Social Network on Urban Crisis Management: Leveraging Emerging Technologies for Disaster Response and Resilience in Smart Cities, Volume 142 in the Advances in Computers series, examines how cutting-edge digital technologies are reshaping disaster preparedness and response. This volume highlights the convergence of artificial intelligence, blockchain, and social network analysis to predict, prevent, and manage urban crises. Chapters explore Nutrient Recovery from Livestock Effluent in a Circular Economy Approach, Leveraging Artificial Intelligence for Deforestation Monitoring and Conservation in the Colombian Amazon, Experimental and Theoretical Investigation of Diffusion in Hydrocarbon-Based Dense Fluids for Enhanced Oil Recovery, and much more.
Additional chapters cover Navigating the Complexities: Challenges, Weaknesses, and Hurdles in Integrating AI, Blockchain, and Social Networks for Urban Crisis Management, Educating Europe's Guardians: Ethical AI and Emerging Technologies in Law Enforcement Training for Urban Crisis Management, The Intersection of AI, Blockchain, and Social Networks in Urban Crises Management, Application of Graph Theory in Disaster Management for Efficient Handling and Mobilizing of Resources and Logistics, Analyzing the Role of Social Networks in Urban Crisis Management through Citizen Participation and Smart Technological Deployment, and many more important and timely topics.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. xv 7. Chapter One: Nutrient recovery from livestock effluent in a circular economy approach - p. 1 8. Chapter Two: Leveraging artificial intelligence for deforestation monitoring and conservation in the Colombian Amazon - p. 33 9. Chapter Three: Experimental and theoretical investigation of diffusion in hydrocarbon based dense fluids for enhanced oil recovery - p. 65 10. Chapter Four: Navigating the complexities: Challenges, weaknesses, and hurdles in integrating AI, blockchain, and social networks for urban crisis management - p. 83 11. Chapter Five: Empowering law enforcement education: Ethical AI and technology integration for urban crisis management in Europe - p. 115 12. Chapter Six: The intersection of AI, blockchain, and social networks in urban crises management - p. 137 13. Chapter Seven: Application of graph theory in disaster management for efficient handling and mobializing of resources and logistics - p. 175 14. Chapter Eight: Analysis of the role of social network in urban crisis management solutions through citizen participation and smart technological deployment - p. 201 15. Chapter Nine: Unveiling customer insights using social network analysis in modern marketing strategy: The influence of urban economic uncertainty - p. 227 16. Chapter Ten: Future of AI, blockchain, and social networks in urban crisis management - p. 251 17. Chapter Eleven: Technology for urban crisis management towards green energy harvesting and sustainability environment - p. 271 18. Chapter Twelve: Synergistic innovations: Transforming urban crisis management through AI, blockchain, and social networks - p. 295 19. Chapter Thirteen: Leveraging fuzzy Artificial Intelligence as a technique to find relative desirability in social network - p. 321 20. Chapter Fourteen: Disaster management in tourist destinations: Role of social media for disaster response and resilience - p. 343 21. Chapter Fifteen: Disaster management on metaverse: Cases, ethical implications, creative potential, and regulatory perspectives of metaverse’s impact on the indian advertising industry - p. 361 22. Chapter Sixteen: Combining artificial neural networks and association rule mining for sequential pattern discovery - p. 379 23. Chapter Seventeen: Engaging the citizens: A blockchain voting system as a tool of urban planning - p. 395 24. Chapter Eighteen: Strengthening urban security in Europe: EU policies, law enforcement, and emerging technologies for resilience and disaster response - p. 409 25. Chapter Nineteen: Project based learning in urban crisis management - p. 433 26. Chapter Twenty: Convergence of AI, blockchain, and social networks in urban crisis management - p. 481 27. Chapter Twenty One: AI-enhanced data processing for modeling applications - p. 515 28. Chapter Twenty Two: Building smarter cities with blockchain - p. 541 29. Chapter Twenty Three: Tracking transparency: Blockchain in the global supply chain – A case study of IBM food trust - p. 555 30. Chapter Twenty Four: Artificial intelligence in urban health epidemic management - p. 565
AI, Blockchain and Social Network on Urban Crisis Management: Leveraging Emerging Technologies for Disaster Response and Resilience in Smart Cities, Volume 142 in the Advances in Computers series, examines how cutting-edge digital technologies are reshaping disaster preparedness and response. This volume highlights the convergence of artificial intelligence, blockchain, and social network analysis to predict, prevent, and manage urban crises. Chapters explore Nutrient Recovery from Livestock Effluent in a Circular Economy Approach, Leveraging Artificial Intelligence for Deforestation Monitoring and Conservation in the Colombian Amazon, Experimental and Theoretical Investigation of Diffusion in Hydrocarbon-Based Dense Fluids for Enhanced Oil Recovery, and much more.
Additional chapters cover Navigating the Complexities: Challenges, Weaknesses, and Hurdles in Integrating AI, Blockchain, and Social Networks for Urban Crisis Management, Educating Europe's Guardians: Ethical AI and Emerging Technologies in Law Enforcement Training for Urban Crisis Management, The Intersection of AI, Blockchain, and Social Networks in Urban Crises Management, Application of Graph Theory in Disaster Management for Efficient Handling and Mobilizing of Resources and Logistics, Analyzing the Role of Social Networks in Urban Crisis Management through Citizen Participation and Smart Technological Deployment, and many more important and timely topics.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Contributors - p. xv 7. Chapter One: Nutrient recovery from livestock effluent in a circular economy approach - p. 1 8. Chapter Two: Leveraging artificial intelligence for deforestation monitoring and conservation in the Colombian Amazon - p. 33 9. Chapter Three: Experimental and theoretical investigation of diffusion in hydrocarbon based dense fluids for enhanced oil recovery - p. 65 10. Chapter Four: Navigating the complexities: Challenges, weaknesses, and hurdles in integrating AI, blockchain, and social networks for urban crisis management - p. 83 11. Chapter Five: Empowering law enforcement education: Ethical AI and technology integration for urban crisis management in Europe - p. 115 12. Chapter Six: The intersection of AI, blockchain, and social networks in urban crises management - p. 137 13. Chapter Seven: Application of graph theory in disaster management for efficient handling and mobializing of resources and logistics - p. 175 14. Chapter Eight: Analysis of the role of social network in urban crisis management solutions through citizen participation and smart technological deployment - p. 201 15. Chapter Nine: Unveiling customer insights using social network analysis in modern marketing strategy: The influence of urban economic uncertainty - p. 227 16. Chapter Ten: Future of AI, blockchain, and social networks in urban crisis management - p. 251 17. Chapter Eleven: Technology for urban crisis management towards green energy harvesting and sustainability environment - p. 271 18. Chapter Twelve: Synergistic innovations: Transforming urban crisis management through AI, blockchain, and social networks - p. 295 19. Chapter Thirteen: Leveraging fuzzy Artificial Intelligence as a technique to find relative desirability in social network - p. 321 20. Chapter Fourteen: Disaster management in tourist destinations: Role of social media for disaster response and resilience - p. 343 21. Chapter Fifteen: Disaster management on metaverse: Cases, ethical implications, creative potential, and regulatory perspectives of metaverse’s impact on the indian advertising industry - p. 361 22. Chapter Sixteen: Combining artificial neural networks and association rule mining for sequential pattern discovery - p. 379 23. Chapter Seventeen: Engaging the citizens: A blockchain voting system as a tool of urban planning - p. 395 24. Chapter Eighteen: Strengthening urban security in Europe: EU policies, law enforcement, and emerging technologies for resilience and disaster response - p. 409 25. Chapter Nineteen: Project based learning in urban crisis management - p. 433 26. Chapter Twenty: Convergence of AI, blockchain, and social networks in urban crisis management - p. 481 27. Chapter Twenty One: AI-enhanced data processing for modeling applications - p. 515 28. Chapter Twenty Two: Building smarter cities with blockchain - p. 541 29. Chapter Twenty Three: Tracking transparency: Blockchain in the global supply chain – A case study of IBM food trust - p. 555 30. Chapter Twenty Four: Artificial intelligence in urban health epidemic management - p. 565
