Iot And Machine Learning A Comprehensive Guide For Smart Systems


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IoT and Machine Learning- A Comprehensive Guide for Smart Systems


IoT and Machine Learning- A Comprehensive Guide for Smart Systems

Author: Dr. Rohit Tripathi

language: en

Publisher: Academic Guru Publishing House

Release Date: 2024-11-29


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IoT and Machine Learning: A Comprehensive Guide for Smart Systems is an authoritative resource that delves deep into the transformative power of IoT and Machine Learning in the development of smart systems. This book covers everything from the fundamentals of IoT architecture and the types of machine learning algorithms to the integration of these technologies in various smart applications, including healthcare, agriculture, industrial IoT, and smart cities. The book is divided into structured chapters that address the key elements of IoT and ML, starting with an overview of each technology, followed by in-depth coverage of topics such as data collection, preprocessing, predictive modeling, real-time analytics, and the security and privacy issues inherent in both fields. Additionally, it explores the challenges and solutions related to scaling, interoperability, and the ethical concerns that arise in the deployment of these technologies. Each chapter provides practical insights, real-world examples, and case studies that demonstrate the power of IoT and ML working together. This book serves as both a theoretical guide and a practical reference for anyone looking to understand how these technologies are reshaping the world and how they can be applied to build smarter, more efficient systems in various domains. Whether you’re a student, professional, or researcher, this book offers valuable knowledge to propel you forward in this exciting field.

Leveraging IoT and Machine Learning for Smart Urban Planning


Leveraging IoT and Machine Learning for Smart Urban Planning

Author: Ahmad, Muneer

language: en

Publisher: IGI Global

Release Date: 2025-04-09


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The integration of the Internet of Things (IoT) and machine learning (ML) transforms the way cities are planned, developed, and managed, creating a new era of smart urban planning. By connecting physical infrastructure with real-time data, IoT devices enable cities to collect and analyze large amounts of information on data like traffic patterns and energy usage to air quality and public services. When paired with the predictive capabilities of machine learning, this data can optimize urban systems, enhance sustainability, and improve residential quality of life. Smart urban planning powered by IoT and ML facilitates more efficient resource management while fostering greater resilience in the face of urban challenges, such as population growth, environmental pressures, and climate change. This innovative approach may help create cities that are smarter, more adaptive, and better equipped to meet future needs. Leveraging IoT and Machine Learning for Smart Urban Planning explores the integration of IoT and machine learning technologies to create smarter, more efficient, and sustainable environments. It covers theoretical foundations, practical applications, and real-world case studies across various sectors including urban planning, transportation, energy management, agriculture, healthcare, water resources, and waste management. This book covers topics such as citizen engagement, renewable energy, smart cities, and is a useful resource for policymakers, business owners, engineers, sociologists, academicians, researchers, and data scientists.

Smart Embedded Systems


Smart Embedded Systems

Author: Arun Sinha

language: en

Publisher: CRC Press

Release Date: 2023-12-01


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"Smart Embedded Systems: Advances and Applications" is a comprehensive guide that demystifies the complex world of embedded technology. The book journeys through a wide range of topics from healthcare to energy management, autonomous robotics, and wireless communication, showcasing the transformative potential of intelligent embedded systems in these fields. This concise volume introduces readers to innovative techniques and their practical applications, offers a comparative analysis of wireless protocols, and provides efficient resource allocation strategies in IoT-based ecosystems. With real-world examples and in-depth case studies, it serves as an invaluable resource for students and professionals seeking to harness the power of embedded technology to shape our digital future. Salient Features: The book provides a comprehensive coverage of various aspects of smart embedded systems, exploring their design, implementation, optimization, and a range of applications. This is further enhanced by in-depth discussions on hardware and software optimizations aimed at improving overall system performance. A detailed examination of machine learning techniques specifically tailored for data analysis and prediction within embedded systems. This complements the exploration of cutting-edge research on the use of AI to enhance wireless communications. Real-world applications of these technologies are extensively discussed, with a focus on areas such as seizure detection, noise reduction, health monitoring, diabetic care, autonomous vehicles, and communication systems. This includes a deep-dive into different wireless protocols utilized for data transfer in IoT systems. This book highlights key IoT technologies and their myriad applications, extending from environmental data collection to health monitoring. This is underscored by case studies on the integration of AI and IoT in healthcare, spanning topics from anomaly detection to informed clinical decision-making. Also featured is a detailed evaluation and comparison of different system implementations and methodologies This book is an essential read for anyone interested in the field of embedded systems. Whether you're a student looking to broaden your knowledge base, researchers looking in-depth insights, or professionals planning to use this cutting-edge technology in real-world applications, this book offers a thorough grounding in the subject.