Iot Machine Learning Smart (326 results)

XVII, 998 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Advances in Intelligent Systems and Computing, 1245. Sprache: Englisch.…

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paperback. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Taschenbuch. Condition: Neu. Neuware - Have you ever wondered how a tiny, low-cost microcontroller can recognize spoken commands, detect defects on a production line, or predict equipment failures before they happen What if you could build intelligent systems that perform these tasks without relying on expensive cloud infrastructure, recurring subscription fees, or a constant internet connection Embedded AI and TinyML is a practical, hands-on guide to designing, training, and deploying machine learning models directly on embedded devices. Whether you are an engineer, student, maker, or technology professional, this book provides the knowledge and tools needed to build real-world intelligent systems that operate efficiently at the edge.Inside this book, you will learn how to: Build reliable sensor data pipelines for vibration, audio, temperature, motion, and environmental monitoring applications, using proven filtering, calibration, and preprocessing techniques.Design and train compact machine learning models optimized for resource-constrained hardware through quantization, pruning, compression, and other model optimization strategies.Deploy practical AI applications including image classification, keyword spotting, anomaly detection, predictive maintenance, and intelligent monitoring systems.Combine multiple sensors into context-aware solutions that integrate data from different sources to improve accuracy and decision-making.Integrate edge intelligence with cloud services for remote monitoring, analytics, over-the-air updates, and large-scale device management.Implement security and power optimization techniques including encryption, secure boot, privacy-aware design, and energy-efficient operation for battery-powered systems.Rather than focusing on theory alone, this book emphasizes practical implementation through real-world examples, step-by-step projects, and deployment strategies that mirror professional engineering workflows.Whether you are exploring embedded AI for the first time, advancing beyond basic tutorials, or developing products intended for real-world deployment, this guide will help you move from simple sensor experiments to intelligent, dependable systems that deliver value where it matters mostdirectly on the device.Start building the next generation of smart, connected, and autonomous systems today.…

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Taschenbuch. Condition: Neu. Neuware - Imagine a world where cities not only grow but thrive, where the safety of every citizen is monitored and protected through cutting-edge technologies. AI Public Safety Systems offers readers a transformative journey into the heart of AI-enhanced urban living. This book is your key to unlocking the future of smart city innovations and securing a safer, more efficient world.In this insightful guide, you'll discover how leading-edge AI technologies are revolutionizing the way we think about public safety. Delve into the integration of smart technologies that are not just designed to protect but to enhance the overall quality of life in urban environments. You stand on the cusp of becoming an expert in the realm of AI-driven safety systems.Whether you're a seasoned expert or a curious newcomer, this book provides clarity, utility, and a pathway to implement AI solutions in urban infrastructures. It's crafted to elevate your understanding and equip you with the tools needed for profound change.AI Public Safety Systems distills complex ideas into manageable parts, making it accessible to all. From real-time threat detection to emergency response optimization, this book is packed with the wisdom needed to foster safer cities.Gain deep insights into the public safety frameworks shaping our future. Transform your understanding with practical, real-world applications that inspire confidence in implementing AI systems effectively.? Master the art of building resilient safety systems? Eliminate uncertainty with predictive analytics? Prevent crimes with cutting-edge AI strategies? Secure urban environments through innovative solutions? Build trust with transparent AI engagements? Control city safety with adaptive technology? Enhance collaboration with smart community modelsWith over 5 years in the ICT field, the author brings a wealth of experience and authority to this essential guide. This book is not just a read; it's an invitation to engage with the future of urban safety.Claim your copy and become a pioneer in AI smart city development. Empower yourself today and influence tomorrow's cityscapes. …

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Condition: New. pages cm.

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Hardcover. Condition: Fine.

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Condition: New. In English.

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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: New. pages cm First edition Includes bibliographical references and index.

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Paperback. Condition: New. This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields.Features: Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applicationsCovers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applicationsDescribes how various methods are used to extract higher- level information from IoT- generated dataPresents the latest technologies and research findings on IoT for smart applicationsFocuses on how machine learning algorithms are used in various real- world smart applications and engineering problemsIt is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields.…

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Taschenbuch. Condition: Neu. Neuware - Build AI That Thinks at the Edge-Not in the Cloud. What if you could build intelligent devices that recognize voices, classify images, detect motion, predict equipment failures, and automate real-world decisions-all on a low-cost ESP32 microcontroller ESP32 and TinyML from Beginner to Expert is your complete hands-on guide to mastering Edge AI and Embedded Machine Learning using the powerful ESP32 ecosystem. Whether you're a beginner exploring microcontrollers for the first time or an experienced developer looking to deploy production-ready TinyML applications, this book provides the practical knowledge and real-world projects needed to build intelligent embedded systems from the ground up. Instead of overwhelming you with theory, this book follows a step-by-step, project-driven approach that teaches you how to design, train, optimize, deploy, secure, and scale AI-powered IoT devices that make decisions locally-without relying on constant cloud connectivity. Inside this comprehensive guide, you'll learn how to: - Master ESP32 architecture, hardware, and development boards- Program ESP32 using Arduino IDE, ESP-IDF, and PlatformIO- Build TinyML applications with TensorFlow Lite Micro and Edge Impulse- Collect, clean, and prepare sensor data for machine learning- Train, optimize, quantize, and deploy lightweight AI models- Build computer vision systems with ESP32-CAM- Create voice recognition, keyword spotting, and audio intelligence applications- Develop gesture recognition and motion detection systems using IMU sensors- Design intelligent IoT solutions with Wi-Fi, MQTT, and cloud integration- Build smart home, industrial automation, predictive maintenance, healthcare, agriculture, and environmental monitoring projects- Optimize memory usage, improve inference speed, reduce power consumption, and extend battery life- Secure Edge AI devices with modern embedded security practices- Deploy OTA updates, manage AI model versions, and troubleshoot real-world TinyML systems- Build complete production-ready Edge AI applications with confidence>Whether your goal is to become an Embedded AI engineer, IoT developer, robotics enthusiast, electronics maker, researcher, engineering student, or professional developer, this book provides the roadmap to mastering one of today's fastest-growing technology fields. The future of AI isn't only in massive data centers-it's running on tiny devices at the edge.Start building the next generation of intelligent embedded systems today.…

Condition: New. In English.

Condition: New.