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Author: Ouaissa, Mariyam
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 317
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Book Description
In our rapidly evolving digital landscape, the threat of natural disasters looms large, necessitating innovative solutions for effective disaster management. Integrating Artificial Intelligence (AI) and the Internet of Things (IoT) presents a transformative approach to addressing these challenges. However, despite the potential benefits, the field needs more comprehensive resources that explore the full extent of AI and IoT applications in disaster management. AI and IoT for Proactive Disaster Management fills that gap by examining how AI and IoT can revolutionize disaster preparedness, response, and recovery. It offers a deep dive into AI frameworks, IoT infrastructures, and the synergy of these technologies in predicting and managing natural disasters. Ideal for undergraduate and postgraduate students, academicians, research scholars, industry professionals, and technology enthusiasts, this book serves as a comprehensive guide to understanding the intersection of AI, IoT, and disaster management. By showcasing cutting-edge research and practical applications, this book equips readers with the knowledge and tools to harness AI and IoT for more efficient and effective disaster management strategies.
Author: Ouaissa, Mariyam
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 317
Get Book Here
Book Description
In our rapidly evolving digital landscape, the threat of natural disasters looms large, necessitating innovative solutions for effective disaster management. Integrating Artificial Intelligence (AI) and the Internet of Things (IoT) presents a transformative approach to addressing these challenges. However, despite the potential benefits, the field needs more comprehensive resources that explore the full extent of AI and IoT applications in disaster management. AI and IoT for Proactive Disaster Management fills that gap by examining how AI and IoT can revolutionize disaster preparedness, response, and recovery. It offers a deep dive into AI frameworks, IoT infrastructures, and the synergy of these technologies in predicting and managing natural disasters. Ideal for undergraduate and postgraduate students, academicians, research scholars, industry professionals, and technology enthusiasts, this book serves as a comprehensive guide to understanding the intersection of AI, IoT, and disaster management. By showcasing cutting-edge research and practical applications, this book equips readers with the knowledge and tools to harness AI and IoT for more efficient and effective disaster management strategies.
Author: Satishkumar, D.
Publisher: IGI Global
ISBN:
Category : Nature
Languages : en
Pages : 378
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Book Description
In a world where natural disasters wreak havoc with increasing frequency and severity, the need for accurate prediction and effective management has never been more critical. From earthquakes shattering communities to floods submerging vast regions, these events endanger lives and strain resources and infrastructure to their limits. Yet, amidst this turmoil, traditional forecasting methods often need to catch up, leaving us vulnerable and reactive rather than proactive. This comprehensive academic collection provides a beacon of hope in uncertain circumstances: Internet of Things and AI for Natural Disaster Management and Prediction. By bridging the gap between theory and practice, this book empowers academics, policymakers, and practitioners alike to harness the full potential of machine learning in safeguarding lives and livelihoods.
Author: T. V. Vijay Kumar
Publisher: Springer Nature
ISBN: 9811542910
Category : Business & Economics
Languages : en
Pages : 267
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Book Description
This 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. Its time that the struggling disaster management services get supported and facilitated by new technology of combining Artificial Intelligence (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.
Author: C Kishor Kumar Reddy
Publisher: Springer Nature
ISBN: 3031733509
Category :
Languages : en
Pages : 286
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Book Description
Author: Burris-Melville, Tashieka Simone
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 665
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Book Description
Within the context of higher education, teamwork and collaboration have become integral to organizational success. While there remains inherent complexity to developing high performing teams in higher education, many institutions have prioritized the integration of collaboration efforts, goal attainment, and student support. Academic excellence achieved through teamwork prioritizes improved student engagement, innovative teaching methods, and collaborative research environments. Developing Effective and High-Performing Teams in Higher Education explores the strategies, best practices, and case studies for developing effective higher education teams. It brings together diverse insights on effective academic collaboration to achieve a myriad of higher education goals. This book covers topics such as student culture, education psychology, and information sharing, and is a valuable resource for educators, administrators, policymakers, academicians, and researchers.
Author: Ayed, Tahar Lazhar
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 373
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Book Description
Many educators need help to effectively incorporate case studies into their teaching, often requiring more expertise and guidance to maximize their educational impact. This challenge is particularly acute in disciplines such as entrepreneurship, tourism, finance, business law, and digital marketing, where real-life examples can significantly enhance students' learning experiences. Current resources often need more practical advice on implementing theoretical concepts, leaving educators unsure how to utilize case studies to achieve specific educational objectives. Utilizing Case Studies in Business Education offers a comprehensive solution for educators seeking to enhance their teaching with case studies. It provides a practical guideline with pedagogical instructions on effectively utilizing case studies in teaching, offering strategies for attaining teaching goals, and improving students' analytical skills and problem-solving abilities. The book presents real-life cases from the Gulf Cooperation Council (GCC) and other international locations, enabling students to analyze national and regional examples and gain a deeper contextual understanding.
Author: Satishkumar, D.
Publisher: IGI Global
ISBN:
Category : Nature
Languages : en
Pages : 360
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Book Description
In a world where the relentless force of natural and man-made disasters threatens societies, the need for effective disaster management has never been more critical. Predicting Natural Disasters With AI and Machine Learning addresses the challenges of disasters and charts a path toward proactive solutions by applying artificial intelligence (AI) and machine learning (ML). This book begins by interpreting the nature of disasters, clearly distinguishing between natural and man-made hazards. It delves into the intricacies of disaster risk reduction (DRR), emphasizing the human contribution to most disasters. Recognizing the necessity for a multifaceted approach, the book advocates the four ‘R’s - Risk Mitigation, Response Readiness, Response Execution, and Recovery - as integral components of comprehensive disaster management. This book explores various AI and ML applications designed to predict, manage, and mitigate the impact of natural disasters, focusing on natural language processing, and early warning systems. The contrast between weak AI, simulating human intelligence for specific tasks, and strong AI, capable of autonomous problem-solving, is thoroughly examined in the context of disaster management. Its chapters systematically address critical issues, including real-world data handling, challenges related to data accessibility, completeness, security, privacy, and ethical considerations.
Author: Darwish, Dina
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 458
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Book Description
Virtual communities are a new frontier in the digital landscape. While these spaces are only in their infancy, it will not be long before they become a part of much of the population’s daily life. Before that becomes the case, it is important that we instill guidelines and parameters to ensure that those interacting with these digital spaces feel safe within them and are able to use them to their fullest capacity. Building Power, Safety, and Trust in Virtual Communities examines how online groups help people learn and change the way they think. In this book, different people with different academic backgrounds, methods, and personal experience with virtual groups look at this question. Case studies are included to help exemplify these findings. Together, these chapters discuss how virtual communities are built in ways that thinkers, researchers, and practitioners can understand.
Author: Satishkumar, D.
Publisher: IGI Global
ISBN:
Category : Nature
Languages : en
Pages : 374
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Book Description
Acute events of natural origin, spanning atmospheric, biological, geophysical, hydrologic, and oceanographic realms, persistently menace societies globally. Approximately 160 million people annually bear the brunt of these disasters, with certain regions facing disproportionate impacts. The lack of predictability intensifies the challenge, creating intercommunal capacity gaps and amplifying the dire consequences. Utilizing AI and Machine Learning for Natural Disaster Management provides instances of ML in predicting earthquakes. By leveraging seismic data, AI systems can analyze magnitude and patterns, providing invaluable insights to forecast earthquake occurrences and aftershocks. Similarly, the book unveils the potential of ML in simulating floods by recording and analyzing rainfall patterns from previous years. The predictive power extends to hurricanes, where data on wind speed, rainfall, temperature, and moisture converge to anticipate future occurrences, potentially saving millions in property damage.
Author: Tariq, Muhammad Usman
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 478
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Book Description
Artificial Intelligence (AI) has rapidly emerged as a revolutionary force across various sectors, with a profound influence permeating the domain of higher education. AI in higher education encompasses a wide range of applications designed to enhance teaching methodologies, streamline administrative processes, and personalize learning experiences. The transformative potential of AI lies in its ability to process vast amounts of data, identify patterns, and make intelligent decisions, which can significantly improve educational outcomes. AI-Driven Learning and Engagement in Higher Education provides a comprehensive exploration of these themes and offers insights into the theoretical foundations, practical applications, and ethical implications of AI in education. Each chapter delves into specific aspects of AI integration, from personalized learning and intelligent tutoring systems to administrative automation and ethical considerations. Covering topics such as applied artificial intelligence, online learning, and student success, this book is an excellent resource for educators, administrators, policymakers, researchers, academicians, and more.
