Internet Of Things And Ai For Natural Disaster Management And Prediction

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Internet of Things and AI for Natural Disaster Management and Prediction

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 378 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Internet of Things and AI for Natural Disaster Management and Prediction by : Satishkumar, D.

Download or read book Internet of Things and AI for Natural Disaster Management and Prediction written by Satishkumar, D. and published by IGI Global. This book was released on 2024-03-07 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Predicting Natural Disasters With AI and Machine Learning

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Predicting Natural Disasters With AI and Machine Learning by : Satishkumar, D.

Download or read book Predicting Natural Disasters With AI and Machine Learning written by Satishkumar, D. and published by IGI Global. This book was released on 2024-02-16 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AI and IoT for Proactive Disaster Management

Author : Ouaissa, Mariyam
Publisher : IGI Global
ISBN 13 :
Total Pages : 317 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AI and IoT for Proactive Disaster Management by : Ouaissa, Mariyam

Download or read book AI and IoT for Proactive Disaster Management written by Ouaissa, Mariyam and published by IGI Global. This book was released on 2024-05-06 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AI and Robotics in Disaster Studies

Author : T. V. Vijay Kumar
Publisher : Springer Nature
ISBN 13 : 9811542910
Total Pages : 267 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis AI and Robotics in Disaster Studies by : T. V. Vijay Kumar

Download or read book AI and Robotics in Disaster Studies written by T. V. Vijay Kumar and published by Springer Nature. This book was released on 2020-10-12 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Utilizing AI and Machine Learning for Natural Disaster Management

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 374 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Utilizing AI and Machine Learning for Natural Disaster Management by : Satishkumar, D.

Download or read book Utilizing AI and Machine Learning for Natural Disaster Management written by Satishkumar, D. and published by IGI Global. This book was released on 2024-04-29 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Gastronomic Sustainability Solutions for Community and Tourism Resilience

Author : Bhartiya, Shivam
Publisher : IGI Global
ISBN 13 :
Total Pages : 333 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Gastronomic Sustainability Solutions for Community and Tourism Resilience by : Bhartiya, Shivam

Download or read book Gastronomic Sustainability Solutions for Community and Tourism Resilience written by Bhartiya, Shivam and published by IGI Global. This book was released on 2024-04-15 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly changing landscape of global tourism and community dynamics, a pressing challenge emerges — the delicate balance between gastronomy tourism, community development, and social impact. As communities grapple with the consequences of unchecked tourism, the need for a sustainable approach becomes vital. Gastronomic Sustainability Solutions for Community and Tourism Resilience is a groundbreaking exploration illuminating the intricate interplay between food, culture, and socio-economic aspects. This comprehensive work identifies the challenges and presents innovative solutions that transcend traditional paradigms, ensuring the long-term well-being of both host communities and the ever-evolving world of travel. Gastronomic Sustainability Solutions for Community and Tourism Resilience is a transformative narrative revealing sustainable gastronomy practices' power. As communities seek avenues for economic growth and cultural preservation, this book charts a course toward genuine, mutually beneficial travel experiences. Through compelling case studies and theoretical insights, readers are guided through a journey showcasing how gastronomy tourism's convergence can revitalize local economies, celebrate cultural heritage, and foster cross-cultural understanding. The book proposes a paradigm shift in how we approach travel and provides tangible strategies for community leaders, businesses, and individuals to embrace a more sustainable and responsible future.

Secure and Intelligent IoT-Enabled Smart Cities

Author : Singh, Sushil Kumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 453 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Secure and Intelligent IoT-Enabled Smart Cities by : Singh, Sushil Kumar

Download or read book Secure and Intelligent IoT-Enabled Smart Cities written by Singh, Sushil Kumar and published by IGI Global. This book was released on 2024-04-01 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart cities are experiencing a rapid evolution. The integration of technologies such as 5G, Internet of Things (IoT), Artificial Intelligence (AI), and blockchain has ushered in transformative applications, enhancing the quality of urban life. However, this evolution comes with its own challenges, most notably in security and privacy. Secure and Intelligent IoT-Enabled Smart Cities addresses these concerns, exploring theoretical frameworks and empirical research findings. The book embarks on the foundational elements of the Internet of Things, delving into the convergence of IoT and smart city applications, elucidating the layered architecture of IoT, and highlighting the security issues inherent in IoT-enabled Smart Cities. This book pinpoints the challenges smart city infrastructures face and offers innovative and pragmatic solutions to fortify their security. This book targets professionals and researchers immersed in the dynamic field of secure and intelligent environments within IoT-enabled smart city applications. It is a valuable resource for executives grappling with the strategic implications of emerging technologies in smart healthcare, smart parking, smart manufacturing, smart transportation, and beyond.

Exploring the Ethical Implications of Generative AI

Author : Ara, Aftab
Publisher : IGI Global
ISBN 13 :
Total Pages : 314 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Exploring the Ethical Implications of Generative AI by : Ara, Aftab

Download or read book Exploring the Ethical Implications of Generative AI written by Ara, Aftab and published by IGI Global. This book was released on 2024-04-04 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative Artificial Intelligence (AI), an ever-evolving technology, holds immense promise across various industries, from healthcare to content generation. However, its rapid advancement has also given rise to profound ethical concerns. Illicit black-market industries exploit generative AI for counterfeit imagery, and in educational settings, biases and misinformation perpetuate. These issues underscore the need to grapple with the risks accompanying generative AI integration. Exploring the Ethical Implications of Generative AI emerges as a wellspring of insight for discerning academic scholars. It sets the stage by acknowledging generative AI's multifaceted potential and its capacity to reshape industries. The book addresses these complex ethical concerns, offering a comprehensive analysis and providing a roadmap for responsible AI development and usage. Its intended audience spans business leaders, policymakers, scholars, and individuals passionate about the ethical dimensions of AI.

Shaping the Future of Automation With Cloud-Enhanced Robotics

Author : Gatti, Rathishchandra Ramachandra
Publisher : IGI Global
ISBN 13 :
Total Pages : 457 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Shaping the Future of Automation With Cloud-Enhanced Robotics by : Gatti, Rathishchandra Ramachandra

Download or read book Shaping the Future of Automation With Cloud-Enhanced Robotics written by Gatti, Rathishchandra Ramachandra and published by IGI Global. This book was released on 2024-04-26 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where automation is quickly becoming a standard, a significant challenge arises – the need for robots to overcome their inherent limitations in processing power and storage. This bottleneck restricts their potential for innovation and collaboration, hindering the realization of true autonomous capabilities. The burgeoning field of Cloud Robotics promises a revolutionary solution by seamlessly integrating robots with cloud-based technologies. This integration empowers robots to offload computation tasks, tap into vast data resources, and engage in real-time collaboration with their mechanical counterparts. Existing literature often falls short of providing a holistic understanding of the complex interplay between robotics and cloud computing. Researchers, academics, and industry professionals find themselves grappling with fragmented insights, hindering their ability to harness the full potential of cloud-enhanced robotics. The lack of a centralized resource leaves a void, impeding progress and innovation in this groundbreaking field. Without a roadmap to navigate the challenges and opportunities presented by cloud robotics, stakeholders risk being left behind in an era where interdisciplinary collaboration is paramount. Enter Shaping the Future of Automation With Cloud-Enhanced Robotics, a beacon of knowledge designed specifically for academics, researchers, and industry professionals seeking to unlock the transformative power of cloud robotics. From fundamental principles to advanced applications, each chapter meticulously unravels the intricacies of cloud infrastructure, communication protocols, data management, human-robot interaction, and more. By addressing challenges and proposing solutions, this book not only disseminates recent advancements but also equips readers with actionable insights. Real-world examples and case studies illuminate the practical applications and benefits of cloud-enhanced robotics, making it an indispensable guide for professionals aiming to implement these innovations in their operations.

Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing

Author : Ponnusamy, Sivaram
Publisher : IGI Global
ISBN 13 :
Total Pages : 352 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing by : Ponnusamy, Sivaram

Download or read book Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing written by Ponnusamy, Sivaram and published by IGI Global. This book was released on 2024-03-25 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where the safety of women remains a pressing issue, the intersection of artificial intelligence (AI) and emerging technologies is a motivating force. Despite strides toward gender equality, women continue to face threats, harassment, and violence, necessitating innovative solutions. Traditional approaches fall short of providing comprehensive protection, prompting the exploration of innovative technologies to address these challenges effectively. Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing emerges as a timely and indispensable solution to the persistent safety issues faced by women globally. This persuasive book not only articulates the problems women encounter but also presents groundbreaking solutions that harness the transformative potential of AI. It delves into the intricate ways AI applications, from mobile safety apps to predictive analytics, can be strategically employed to create a safer and more inclusive society for women.

Methodologies, Frameworks, and Applications of Machine Learning

Author : Srivastava, Pramod Kumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 315 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Methodologies, Frameworks, and Applications of Machine Learning by : Srivastava, Pramod Kumar

Download or read book Methodologies, Frameworks, and Applications of Machine Learning written by Srivastava, Pramod Kumar and published by IGI Global. This book was released on 2024-03-22 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology is constantly evolving, and machine learning is positioned to become a pivotal tool with the power to transform industries and revolutionize everyday life. This book underscores the urgency of leveraging the latest machine learning methodologies and theoretical advancements, all while harnessing a wealth of realistic data and affordable computational resources. Machine learning is no longer confined to theoretical domains; it is now a vital component in healthcare, manufacturing, education, finance, law enforcement, and marketing, ushering in an era of data-driven decision-making. Academic scholars seeking to unlock the potential of machine learning in the context of Industry 5.0 and advanced IoT applications will find that the groundbreaking book, Methodologies, Frameworks, and Applications of Machine Learning, introduces an unmissable opportunity to delve into the forefront of modern research and application. This book offers a wealth of knowledge and practical insights across a wide array of topics, ranging from conceptual frameworks and methodological approaches to the application of probability theory, statistical techniques, and machine learning in domains as diverse as e-government, healthcare, cyber-physical systems, and sustainable development, this comprehensive guide equips you with the tools to navigate the complexities of Industry 5.0 and the Internet of Things (IoT).

Design and Development of Emerging Chatbot Technology

Author : Darwish, Dina
Publisher : IGI Global
ISBN 13 :
Total Pages : 403 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Design and Development of Emerging Chatbot Technology by : Darwish, Dina

Download or read book Design and Development of Emerging Chatbot Technology written by Darwish, Dina and published by IGI Global. This book was released on 2024-04-09 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the field of information retrieval, the challenge lies in the speed and accuracy with which users can access relevant data. With the increasing complexity of digital interactions, the need for a solution that transcends traditional methods becomes evident. Human involvement and manual investigation are not only time-consuming but also prone to errors, hindering the seamless exchange of information in various sectors. Design and Development of Emerging Chatbot Technology emerges as a comprehensive solution to the predicament posed by traditional information retrieval methods. Focusing on the transformative power of chatbots, it delves into the intricacies of their operation, applications, and development. Designed for academic scholars across diverse disciplines, the book serves as a beacon for those seeking a deeper understanding of chatbots and their potential to revolutionize information retrieval in customer service, education, healthcare, e-commerce, and more.

Proceedings of International Conference on Data Science and Applications

Author : Mukesh Saraswat
Publisher : Springer Nature
ISBN 13 : 9811966346
Total Pages : 908 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Proceedings of International Conference on Data Science and Applications by : Mukesh Saraswat

Download or read book Proceedings of International Conference on Data Science and Applications written by Mukesh Saraswat and published by Springer Nature. This book was released on 2023-02-06 with total page 908 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Heterogenous Computational Intelligence in Internet of Things

Author : Pawan Singh
Publisher : CRC Press
ISBN 13 : 1000967808
Total Pages : 315 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Heterogenous Computational Intelligence in Internet of Things by : Pawan Singh

Download or read book Heterogenous Computational Intelligence in Internet of Things written by Pawan Singh and published by CRC Press. This book was released on 2023-10-26 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: We have seen a sharp increase in the development of data transfer techniques in the networking industry over the past few years. We can see that the photos are assisting clinicians in detecting infection in patients even in the current COVID-19 pandemic condition. With the aid of ML/AI, medical imaging, such as lung X-rays for COVID-19 infection, is crucial in the early detection of many diseases. We also learned that in the COVID-19 scenario, both wired and wireless networking are improved for data transfer but have network congestion. An intriguing concept that has the ability to reduce spectrum congestion and continuously offer new network services is providing wireless network virtualization. The degree of virtualization and resource sharing varies between the paradigms. Each paradigm has both technical and non-technical issues that need to be handled before wireless virtualization becomes a common technology. For wireless network virtualization to be successful, these issues need careful design and evaluation. Future wireless network architecture must adhere to a number of Quality of Service (QoS) requirements. Virtualization has been extended to wireless networks as well as conventional ones. By enabling multi-tenancy and tailored services with a wider range of carrier frequencies, it improves efficiency and utilization. In the IoT environment, wireless users are heterogeneous, and the network state is dynamic, making network control problems extremely difficult to solve as dimensionality and computational complexity keep rising quickly. Deep Reinforcement Learning (DRL) has been developed by the use of Deep Neural Networks (DNNs) as a potential approach to solve high-dimensional and continuous control issues effectively. Deep Reinforcement Learning techniques provide great potential in IoT, edge and SDN scenarios and are used in heterogeneous networks for IoT-based management on the QoS required by each Software Defined Network (SDN) service. While DRL has shown great potential to solve emerging problems in complex wireless network virtualization, there are still domain-specific challenges that require further study, including the design of adequate DNN architectures with 5G network optimization issues, resource discovery and allocation, developing intelligent mechanisms that allow the automated and dynamic management of the virtual communications established in the SDNs which is considered as research perspective.

The Climate Change Crisis and Its Impact on Mental Health

Author : Samanta, Debabrata
Publisher : IGI Global
ISBN 13 :
Total Pages : 338 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis The Climate Change Crisis and Its Impact on Mental Health by : Samanta, Debabrata

Download or read book The Climate Change Crisis and Its Impact on Mental Health written by Samanta, Debabrata and published by IGI Global. This book was released on 2024-04-03 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amidst the issues of our changing climate, a critical yet often overlooked concern comes to the forefront—the profound impact on mental health. As our planet experiences shifts in temperature and ecosystems teeter on the brink, a silent crisis takes root, woven into the fabric of our collective well-being. The Climate Change Crisis lays bare the extensive consequences of environmental upheaval on the human psyche, transcending scientific debates and policy discussions. No longer confined to abstract notions, climate change emerges as an omnipresent force, shaping not only landscapes but profoundly affecting the mental resilience of individuals and communities. This urgent challenge resonates through the pages of The Climate Change Crisis and Its Impact on Mental Health, which acts as a guiding resource for academic scholars navigating the path toward holistic solutions. In the relentless face of climate change, awareness becomes a potent tool for change. This book illuminates the unseen toll on mental well-being, underscoring the direct and indirect psychological impacts of environmental shifts. It delves into the ethical and economic dimensions, amplifying the urgency for comprehensive solutions. Moreover, it not only examines the challenges but also provides a roadmap for mitigation and adaptation. It empowers scholars to delve into topics like disaster response, resource scarcity, and climate-induced migration, fostering a deeper understanding of the complexities at play.

Deep Learning in Internet of Things for Next Generation Healthcare

Author : Lavanya Sharma
Publisher : CRC Press
ISBN 13 : 1040030823
Total Pages : 311 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Deep Learning in Internet of Things for Next Generation Healthcare by : Lavanya Sharma

Download or read book Deep Learning in Internet of Things for Next Generation Healthcare written by Lavanya Sharma and published by CRC Press. This book was released on 2024-06-18 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes. Presents practical approaches of using the IoT with deep learning vision and how it deals with human dynamics Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many more Includes the latest technological advances in the IoT and deep learning with their implementations in healthcare Combines deep learning and analysis in the unified framework to understand both IoT and deep learning applications Covers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challenges Postgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful.

Applied Intelligence in Human-Computer Interaction

Author : Sulabh Bansal
Publisher : CRC Press
ISBN 13 : 1000917916
Total Pages : 317 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Applied Intelligence in Human-Computer Interaction by : Sulabh Bansal

Download or read book Applied Intelligence in Human-Computer Interaction written by Sulabh Bansal and published by CRC Press. This book was released on 2023-08-15 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text comprehensively discusses the fundamental aspects of human–computer interaction, and applications of artificial intelligence in diverse areas including disaster management, smart infrastructures, and healthcare. It employs a solution-based approach in which recent methods and algorithms are used for identifying solutions to real-life problems. This book: Discusses the application of artificial intelligence in the areas of user interface development, computing power analysis, and data management Uses recent methods/algorithms to present solution-based approaches to real-life problems in different sectors Showcases the applications of artificial intelligence and automation techniques to respond to disaster situations Covers important topics such as smart intelligence learning, interactive multimedia systems, and modern communication systems Highlights the importance of artificial intelligence for smart industrial automation and systems intelligence The book elaborates on the application of artificial intelligence in user interface development, computing power analysis, and data management. It explores the use of human–computer interaction for intelligence signal and image processing techniques. The text covers important concepts such as modern communication systems, smart industrial automation, interactive multimedia systems, and machine learning interface for the internet of things. It will serve as an ideal text for senior undergraduates, and graduate students in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.