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An era of powerful cognitive technology is beginning due to cloud-based cognitive systems that are forming the foundation of game-changing intelligent applications. This book presents next-generation use cases of IoT and IoT data analytics for a variety of industrial verticals as given below:          An Intelligent IoT framework for smart water management      An IoT-enabled smart traffic control system for congestion control and smart traffic management       An intelligent airport system for airport management and security surveillance      An IoT framework for healthcare to integrate and report patient information       Fuzzy scheduling with IoT for tracking and monitoring hotel assets       An IoT system for designing drainage systems and monitoring drainage pipes       Predictive maintenance of plant equipment to decide the actual mean time to malfunction       Integrated neural networks and IoT systems for predictive equipment maintenance       IoT integration in blockchain for smart waste management   This book also includes a chapter on the IoT paradigm and an overview of uses cases for personal, social, and industrial applications.","brand":"WoB","offers":[{"title":"US \/ GOOD \/ SBYB","offer_id":50348541706513,"sku":"CIN0367343088G","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0367343088.jpg?v=1751039096"},{"product_id":"industrial-iot-application-architectures-and-use-cases-book-a-suresh-9781032474465","title":"Industrial IoT Application Architectures and Use Cases","description":"As the number of Internet of Things (IoT) elements grows exponentially, their interactions can generate a massive amount of raw and multi-structured data. The challenge with this data explosion is to transform any raw data into information and knowledge, which can be used by people and systems to make intelligent decisions. Industrial IoT Application Architectures and Use Cases explores how artificial intelligence (AI), data analytics, and IoT technology combine to promote intelligent decision-making and automation in a range of industries.     With faster, more stable AI algorithms and approaches, knowledge discovery and dissemination from IoT-device data can be simplified and streamlined. An era of powerful cognitive technology is beginning due to cloud-based cognitive systems that are forming the foundation of game-changing intelligent applications. This book presents next-generation use cases of IoT and IoT data analytics for a variety of industrial verticals as given below:             An Intelligent IoT framework for smart water management          An IoT-enabled smart traffic control system for congestion control and smart traffic management           An intelligent airport system for airport management and security surveillance          An IoT framework for healthcare to integrate and report patient information           Fuzzy scheduling with IoT for tracking and monitoring hotel assets           An IoT system for designing drainage systems and monitoring drainage pipes           Predictive maintenance of plant equipment to decide the actual mean time to malfunction           Integrated neural networks and IoT systems for predictive equipment maintenance           IoT integration in blockchain for smart waste management         This book also includes a chapter on the IoT paradigm and an overview of uses cases for personal, social, and industrial applications.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51085305020689,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51085309051153,"sku":"NIN9781032474465","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52597761048849,"sku":"NLS9781032474465","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1032474467.jpg?v=1750822579"},{"product_id":"sensor-data-analysis-and-management-book-r-udendhran-9781119682424","title":"Sensor Data Analysis and Management","description":"Discover detailed insights into the methods, algorithms, and techniques for deep learning in sensor data analysis   Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of deep learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of deep learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data.   The editors have curated a distinguished group of perceptive and concise papers that show the potential of deep learning as a powerful tool for solving complex modelling problems across a broad range of industries, including predictive maintenance, health monitoring, financial portfolio forecasting, and driver assistance.   The book contains real-time examples of analyzing sensor data using deep learning algorithms and a step-by-step approach for installing and training deep learning using the Python keras library. 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Environmental Monitoring Using Artificial Intelligence provides a comprehensive exploration of the cutting-edge technologies transforming environmental monitoring. This book bridges the gap between artificial intelligence (AI), natural language processing (NLP), and sensor-based systems, highlighting their potential to revolutionize the way we address pressing environmental challenges. Each chapter presents innovative case studies, real-world applications, and the latest research on how these technologies are being utilized to monitor and manage ecosystems, water resources, air quality, and urban sustainability.   From advanced sensor networks to machine learning models, this book covers a broad spectrum of topics, including smart water solutions, biodiversity conservation, waste management, and agricultural sustainability. It offers an interdisciplinary approach, making it an essential resource for environmental engineers, data scientists, researchers, and policymakers. Whether you’re exploring smart city innovations, renewable energy monitoring, or AI-driven solutions for environmental protection, Environmental Monitoring Using Artificial Intelligence equips readers with the knowledge and tools to leverage technology for a sustainable future.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51604358332689,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":51604358529297,"sku":"NGR9781394270361","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1394270364.jpg?v=1750793510"},{"product_id":"deep-learning-and-edge-computing-solutions-for-high-performance-computing-book-a-suresh-9783030602673","title":"Deep Learning and Edge Computing Solutions for High Performance Computing","description":"This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. 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