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Advancements in Artificial Intelligence, Blockchain Technology, and IoT in Higher Education
With a need to find alternatives to the traditional face-to-face teaching and learning during the pandemic, this topical volume discusses the best use of technologies in higher education, addressing the growing role of AI in the digital transformation of higher education systems. With chapters from eminent professors, researchers, and others involved in higher education from a selection of different countries, the volume looks at blockchain and IoT technologies to create smart universities now and for the future.
Proceedings of the 2nd International Symposium on Disaster Resilience and Sustainable Development
This, conference proceeding, book contains invited articles and contributory papers from the 2nd International Symposium on Disaster Resilience and Sustainable Development, organized by Asian Institute of Technology, Thailand, on June 24–25, 2021. It includes contributions from researchers and practitioners working in the area of disaster mitigation and risk reduction for sustainable communities. The articles cover the topics such as on tools and techniques of hazard identifications, risk assessment, engineering innovations for hazard mitigation, and safe design of structures to the vulnerable systems. The content caters to research scholars, students, industry professionals, data analytics companies, re-insurance companies, government bodies and policymakers, who work in the field of hazard modeling and disaster management.
5th World Congress on Disaster Management: Volume I
World Congress on Disaster Management (WCDM) brings researchers, policy makers and practitioners from around the world in the same platform to discuss various challenging issues of disaster risk management, enhance understanding of risks and advance actions for reducing risks and building resilience to disasters. The fifth WCDM deliberates on three critical issues that pose the most serious challenges as well as hold the best possible promise of building resilience to disasters. These are Technology, Finance, and Capacity. WCDM has emerged as the largest global conference on disaster management outside the UN system. The fifth WCDM was attended by more than 2500 scientists, professionals, policy makers and practitioners all around the world despite the prevalence of pandemic.
An Interdisciplinary Approach for Disaster Resilience and Sustainability
This book includes selected papers presented at the international expert forum on “Mainstreaming Resilience and Disaster Risk Reduction in Education,” held at the Asian Institute of Technology, Thailand on 1–2 December 2017. The journey towards disaster risk reduction and resilience requires the participation of a wide array of stakeholders ranging from academics to policymakers, to disaster managers. Given the multifaceted and interdependent nature of disasters, disaster risk reduction and resilience require a multidisciplinary problem-solving approach and evidence-based techniques from the natural, social, engineering, and other relevant sciences. Traditionally, hazard and disaster-r...
The Fusion of Artificial Intelligence and Soft Computing Techniques for Cybersecurity
With the ever-increasing threat of cyber-attacks, especially as the COVID-19 pandemic helped to ramp up the use of digital communications technology, there is a continued need to find new ways to maintain and improve cybersecurity. This new volume investigates the advances in artificial intelligence and soft computing techniques in cybersecurity. It specifically looks at cybersecurity during the COVID-19 pandemic, the use of cybersecurity for cloud intelligent systems, applications of cybersecurity techniques for web applications, and cybersecurity for cyber-physical systems. A diverse array of technologies and techniques are explored for cybersecurity applications, such as the Internet of Things, edge computing, cloud computing, artificial intelligence, soft computing, machine learning, cross-site scripting in web-based services, neural gas (GNG) clustering technique, and more.
Graphene and its Derivatives (Volume 2)
This book describes the essential characteristics of graphene, graphene oxide, reduced graphene oxide, and its nanocomposite and their applications in water and wastewater treatment and other environmental issues. The book introduces each topic in detail, discusses the basic principles, and analyzes and summarizes recent developments in the field. Various topics covered in this book include role of graphene as a potential material in photocatalytic organic pollutant degradation, water splitting applications, capacitive de-ionization techniques, air purification, gas adsorption, and decontamination of pathogenic microorganisms. Given the contents, the book is useful for students, researchers, and professionals working in the area environmental science and materials, especially graphene oxide, graphene, and graphene nanocomposite.
Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing
This book focuses on the fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security, as well as compiles and discusses various engineering solutions using various artificial intelligence paradigms. It looks at recent technological advancements and considers how artificial intelligence, machine learning, deep learning, soft computing, and evolutionary computing techniques can be used to design, implement, and optimize advanced image processing, data analysis, and cyber security engineering solutions. It will readers develop the insight required to use the tools of digital imaging to solve new problems. The book is divided into sectio...
Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services
This volume demonstrates the diverse state-of-the-art applications that combine artificial intelligence with soft computing, which has great potential for creating smart personalized healthcare services. The book showcases the myriad uses of AI and computer techniques in healthcare that employ deep learning, robotics, machine learning, blockchain, emerging cloud, edge computing, Practical Byzantine Fault Tolerance consensus, CNN architecture, Splunk, genetic algorithms (GA), DurBhashan, and many more. These technologies can be used in healthcare for enhanced data sharing, remote health monitoring, tele-rehabilitation, connecting rural populations with healthcare services, identifying diseases and health issues, automated medical diagnosis, analyzing information in surgical videos, ensuring timely communication and transportation during health disasters and emergencies, for optimizing expenditures, and more.
Incorporating AI Technology in the Service Sector
Due to advances in technology, particularly in artificial intelligence and robotics, the service sector is being reshaped, and AI may even be necessary for survival of the service industries. Innovations in digital technology lead to improving processes and, in many situations, are a solution to improving the efficiency and the quality of processes and services. This volume examines in depth how AI innovation is creating knowledge, improving efficiency, and elevating quality of life for millions of people and how it applies to the service industry. This volume addresses advances, issues, and challenges from several points of view from diverse service areas, including healthcare, mental healt...
Integrating Disaster Science and Management
Integrated Disaster Science and Management: Global Case Studies in Mitigation and Recovery bridges the gap between scientific research on natural disasters and the practice of disaster management. It examines natural hazards, including earthquakes, landslides and tsunamis, and uses integrated disaster management techniques, quantitative methods and big data analytics to create early warning models to mitigate impacts of these hazards and reduce the risk of disaster. It also looks at mitigation as part of the recovery process after a disaster, as in the case of the Nepal earthquake. Edited by global experts in disaster management and engineering, the book offers case studies that focus on the critical phases of disaster management. - Identifies advanced techniques and models based on natural disaster science for forecasting disasters and analyzing risk - Offers a holistic approach to the problem of disaster management, including preparation, recovery, and resilience - Includes coverage of social, economic, and environmental impacts on disasters
