Scalable Modeling And Efficient Management Of Iot Applications
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Scalable Modeling And Efficient Management Of Iot Applications
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Author : Rajput, Dharmendra Singh
language : en
Publisher: IGI Global
Release Date : 2024-10-08
Scalable Modeling And Efficient Management Of Iot Applications written by Rajput, Dharmendra Singh and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-08 with Computers categories.
Experts continue to struggle with developing methods to effectively navigate the intricate landscape of the Internet of Things (IoT). As the IoT landscape continues to expand and influence various industries, from healthcare to smart cities and beyond, scholars often find themselves facing an absence of comprehensive guidance in navigating this evolving technological landscape. The challenges are multifaceted and include the need for intelligent modeling techniques, the intricacies of managing IoT applications, and the relentless pace of technological advancements. This issue of staying well-informed and equipped to address these challenges demands an insightful solution. To tackle these challenges, Scalable Modeling and Efficient Management of IoT Applications emerges as a valuable resource, offering a multitude of effective solutions to address these concerns. This is a book that was meticulously crafted to empower scholars with the knowledge and tools they need. By tackling the scarcity of guidance on intelligent modeling techniques, the book equips readers with a profound understanding of the fundamental concepts, algorithms, and methodologies crucial for designing and managing intelligent IoT systems.
Building Scalable Edge Ai Solutions For The Internet Of Things
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Building Scalable Edge Ai Solutions For The Internet Of Things written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Building Scalable Edge AI Solutions for the Internet of Things" explores the convergence of IoT, edge computing, and AI, providing a practical guide to developing and deploying intelligent edge solutions. The book begins by establishing foundational concepts, explaining the limitations of cloud-centric IoT architectures and introducing the benefits of edge computing and Edge AI, such as reduced latency, bandwidth efficiency, and enhanced privacy. It then delves into the building blocks of Edge AI solutions, covering data acquisition and preprocessing techniques optimized for resource-constrained devices, model selection and compression strategies, and an overview of relevant frameworks and hardware platforms like MCUs, MPUs, GPUs, and FPGAs. The book further provides a practical development approach, detailing the steps from problem definition and data preparation to model training, evaluation, and deployment on edge devices. It emphasizes the importance of robust deployment strategies, including OTA updates, device management tools, and crucial security considerations. Finally, the book examines advanced topics like real-time Edge AI applications in industrial automation, robotics, and autonomous systems, along with scalability and orchestration strategies for large deployments. It concludes by exploring future trends, including emerging hardware and software, the role of 5G, and the ethical implications of Edge AI, advocating for responsible AI development.
Innovations For Community Services
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Author : Sebastian Zielinski
language : en
Publisher: Springer Nature
Release Date : 2025-07-03
Innovations For Community Services written by Sebastian Zielinski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Computers categories.
This book constitutes the refereed proceedings of the 25th International Conference on Innovations for Community Services, I4CS 2025, held in Munich, Germany, during June 11–13, 2025. The 21 full papers presented in this book together with 3 short papers were carefully reviewed and selected from 55 submissions. They are organized in topical sections as follows: recognition and verification; computational intelligence; data processing; quantum computing; public sector; serious games; information security; and community challenges.
Scalable Artificial Intelligence For Healthcare
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Author : Houneida Sakly
language : en
Publisher: CRC Press
Release Date : 2025-05-06
Scalable Artificial Intelligence For Healthcare written by Houneida Sakly and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-06 with Computers categories.
This edited volume examines the transformative impact of AI technologies on global healthcare systems, with a focus on enhancing efficiency and accessibility. The content provides a comprehensive exploration of the principles and practices required to scale AI applications in healthcare, addressing areas such as diagnosis, treatment, and patient care. Key topics include data scalability, model deployment, and infrastructure design, highlighting the use of microservices, containerization, cloud computing, and big data technologies in building scalable AI systems. Discussions cover advancements in machine learning models, distributed processing, and transfer learning, alongside critical considerations such as continuous integration, data privacy, and ethics. Real-world case studies depict both the successes and challenges of implementing scalable AI across various healthcare environments, offering valuable insights for future advancements. This volume serves as a practical and theoretical guide for healthcare professionals, AI researchers, and technology enthusiasts seeking to develop or expand on AI-driven healthcare solutions to address global health challenges effectively.
Fast And Scalable Cloud Data Management
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Author : Felix Gessert
language : en
Publisher: Springer Nature
Release Date : 2020-05-15
Fast And Scalable Cloud Data Management written by Felix Gessert and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-15 with Computers categories.
The unprecedented scale at which data is both produced and consumed today has generated a large demand for scalable data management solutions facilitating fast access from all over the world. As one consequence, a plethora of non-relational, distributed NoSQL database systems have risen in recent years and today’s data management system landscape has thus become somewhat hard to overlook. As another consequence, complex polyglot designs and elaborate schemes for data distribution and delivery have become the norm for building applications that connect users and organizations across the globe – but choosing the right combination of systems for a given use case has become increasingly difficult as well. To help practitioners stay on top of that challenge, this book presents a comprehensive overview and classification of the current system landscape in cloud data management as well as a survey of the state-of-the-art approaches for efficient data distribution and delivery to end-user devices. The topics covered thus range from NoSQL storage systems and polyglot architectures (backend) over distributed transactions and Web caching (network) to data access and rendering performance in the client (end-user). By distinguishing popular data management systems by data model, consistency guarantees, and other dimensions of interest, this book provides an abstract framework for reasoning about the overall design space and the individual positions claimed by each of the systems therein. Building on this classification, this book further presents an application-driven decision guidance tool that breaks the process of choosing a set of viable system candidates for a given application scenario down into a straightforward decision tree.
Artificial Intelligence Of Things Aiot
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Author : Fadi Al-Turjman
language : en
Publisher: Elsevier
Release Date : 2024-09-11
Artificial Intelligence Of Things Aiot written by Fadi Al-Turjman and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-11 with Computers categories.
Artificial Intelligence of Things (AIoT): Current and Future Trends brings together researchers and developers from a wide range of domains to share ideas on how to implement technical advances, create application areas for intelligent systems, and how to develop new services and smart devices connected to the Internet. Section One covers AIoT in Everything, providing a wide range of applications for AIoT methods and technologies. Section Two gives readers comprehensive guidance on AIoT in Societal Research and Development, with practical case studies of how AIoT is impacting cultures around the world. Section Three covers the impact of AIoT in educational settings.The book also covers new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power. These new areas come with various requirements in terms of reliability, quality of service, and energy efficiency. - Provides readers with up-to-date and comprehensive information on the latest advancements in AIoT, including wireless technologies, pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power - Explores the possibilities of new domains, services, and business models that can be created using AIoT - Discusses the potential impact of AIoT on society, including its potential to improve efficiency, reduce costs, and enhance quality of life
Internet Of Things
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Author : Dr. S. Prasanna
language : en
Publisher: RK Publication
Release Date : 2024-09-19
Internet Of Things written by Dr. S. Prasanna and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-19 with Computers categories.
"Internet of Things" explores the transformative impact of interconnected devices on various sectors, from smart homes to industrial applications. The technologies enabling IoT, including sensors, connectivity protocols, and data analytics. It examines real-world applications, challenges related to security and privacy, and the future potential of IoT in enhancing efficiency and improving quality of life. Aimed at both newcomers and professionals, this comprehensive guide offers insights into how IoT is reshaping industries and everyday experiences.
Internet Of Things
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Author : Manish Soni
language : en
Publisher:
Release Date : 2024-11-13
Internet Of Things written by Manish Soni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Computers categories.
Welcome to "Internet of Things." The Internet of Things (IoT) is more than just a buzzword; it's a transformative force that's reshaping the way we interact with the world around us. From smart homes that anticipate our needs to industrial processes optimized for efficiency, the IoT has woven itself into the fabric of our daily lives and industries, promising a future of unprecedented connectivity and convenience. This book, "Internet of Things," is your comprehensive guide to understanding, developing for, and thriving in this exciting and dynamic field. Whether you're a curious newcomer, a seasoned developer, or a business leader seeking to harness the potential of IoT, this book has something to offer you. The journey through the pages of this book will take you from the fundamentals of IoT, exploring its history and core concepts, to diving deep into the technologies and protocols that power it. You'll discover the myriad of applications where IoT is making a difference, from smart homes and healthcare to agriculture and smart cities. We'll explore the critical issues surrounding IoT, such as data security and privacy, and equip you with the knowledge to navigate these challenges effectively. Through hands-on examples and practical advice, you'll gain the skills needed to develop IoT solutions, whether you're building a simple home automation project or a complex industrial system. But this book isn't just about the nuts and bolts of IoT; it's also about the bigger picture. We'll examine the ethical and social implications of a world where everything is connected, discussing the responsible development and deployment of IoT technologies. As you delve into the Chapters that follow, you'll find a wealth of information, insights, and inspiration to fuel your IoT journey. This book is a testament to the incredible possibilities that emerge when our physical world meets the digital realm, and we hope it serves as a valuable resource on your quest to master the Internet of Things. The IoT landscape is evolving rapidly, and it's an exciting time to be a part of this technological revolution. So, let's embark on this journey together and explore the limitless potential of the Internet of Things.
Case Studies In Geospatial Applications To Groundwater Resources
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Author : Pravat Kumar Shit
language : en
Publisher: Elsevier
Release Date : 2022-10-21
Case Studies In Geospatial Applications To Groundwater Resources written by Pravat Kumar Shit and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-21 with Science categories.
Case Studies in Geospatial Applications to Groundwater Resources provides thorough the most up-to-date techniques in GIS and geostatistics as they relate to groundwater, through detailed case studies that prove real-world applications of remote sensing applications to this subject. Groundwater is the primary source of fresh water in many parts of the world, while come regions are becoming overly dependent on it, consuming groundwater faster than it is naturally replenished and causing water tables to decline unremittingly. India is the largest user of groundwater in the world followed by China and the USA, with developing countries using groundwater at an unsustainable rate. Systematic planning of groundwater usage using modern techniques is essential for the proper utilization, management and modeling of this precious but shrinking natural resource. With the advent of powerful and highspeed personal computers, efficient techniques for water management have evolved, of which remote sensing, GIS (Geographic Information Systems), GPS (Global Positioning Systems) and Geostatistical techniques are of great significance. This book advances the scientific understanding, development, and application of geospatial technologies related to water resource management. Case Studies in Geospatial Applications to Groundwater Resources is a valuable reference for researchers and postgraduate students in Earth and Environmental Sciences, especially GIS, agriculture, hydrology, natural resources, and soil science, who need to be able to apply the latest technologies in groundwater research in a practical manner. - Provides detailed case studies on groundwater resources around the world, including regions with highest groundwater resource use - Covers modern remote sensing and geostatistical technique-based groundwater resource mapping, monitoring, and modelling - Describes novel region-specific management strategies and techniques for sustainability with case studies to illustrate effectiveness - Includes practical coverage of the use of geospatial analysis techniques in groundwater resources
Machine Learning And Cryptographic Solutions For Data Protection And Network Security
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Author : Ruth, J. Anitha
language : en
Publisher: IGI Global
Release Date : 2024-05-31
Machine Learning And Cryptographic Solutions For Data Protection And Network Security written by Ruth, J. Anitha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
In the relentless battle against escalating cyber threats, data security faces a critical challenge – the need for innovative solutions to fortify encryption and decryption processes. The increasing frequency and complexity of cyber-attacks demand a dynamic approach, and this is where the intersection of cryptography and machine learning emerges as a powerful ally. As hackers become more adept at exploiting vulnerabilities, the book stands as a beacon of insight, addressing the urgent need to leverage machine learning techniques in cryptography. Machine Learning and Cryptographic Solutions for Data Protection and Network Security unveil the intricate relationship between data security and machine learning and provide a roadmap for implementing these cutting-edge techniques in the field. The book equips specialists, academics, and students in cryptography, machine learning, and network security with the tools to enhance encryption and decryption procedures by offering theoretical frameworks and the latest empirical research findings. Its pages unfold a narrative of collaboration and cross-pollination of ideas, showcasing how machine learning can be harnessed to sift through vast datasets, identify network weak points, and predict future cyber threats.