{"title":"Series: Advances in Learning Analytics for Intelligent Cloud-IoT Systems","description":"\u003cp\u003eThe \u003cstrong\u003eAdvances in Learning Analytics for Intelligent Cloud-IoT Systems\u003c\/strong\u003e series explores the cutting-edge intersection of data analytics, cloud computing, and the Internet of Things. Readers will encounter in-depth discussions on how intelligent systems harness vast data streams to optimise learning processes, enhance decision-making, and innovate across diverse technological landscapes.\u003c\/p\u003e\n\n\u003cp\u003eIdeal for enthusiasts of \u003cem\u003eComputing \u0026amp; Technology\u003c\/em\u003e, this collection offers insights into emerging methodologies and practical applications that shape the future of connected devices and smart environments. It bridges theoretical foundations with real-world challenges, appealing to both academics and industry professionals seeking to deepen their understanding of learning analytics within intelligent cloud-IoT frameworks.\u003c\/p\u003e","products":[{"product_id":"convergence-of-cloud-with-ai-for-big-data-analytics-9781119904885","title":"Convergence of Cloud with AI for Big Data Analytics","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cb\u003eConvergence \u003ci\u003eof\u003c\/i\u003e Cloud \u003ci\u003ewith\u003c\/i\u003e AI \u003ci\u003efor\u003c\/i\u003e Big Data Analytics\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cb\u003eThis book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services.\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003eThe 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms. There has been rigorous growth in their applications, and the hybrid blend of AI Cloud and IoT (Ambient-intelligence technology) also relies on input from wireless devices.\u003c\/p\u003e\n\n\u003cp\u003eDespite the multitude of applications and advancements, there are still some limitations and challenges to overcome, such as security, latency, energy consumption, service allocation, healthcare services, network lifetime, etc. \u003ci\u003eConvergence of Cloud with AI for Big Data Analytics: Foundations and Innovation\u003c\/i\u003e details all these technologies and how they are related to state-of-the-art applications. It provides a comprehensive overview for readers interested in advanced technologies, identifying the challenges, proposed solutions, as well as how to enhance the framework.\u003c\/p\u003e\n\n\u003cp\u003e\u003cb\u003eAudience\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003eResearchers and post-graduate students in computing as well as engineers and practitioners in software engineering, electrical engineers, data analysts, and cyber security professionals.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47000579637484,"sku":"9781119904885","price":449.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/19995913482586.jpg?v=1763286593"},{"product_id":"the-internet-of-medical-things-iomt-9781119768838","title":"The Internet of Medical Things (IoMT)","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003ci\u003eThe Internet of Medical Things (IoMT)\u003c\/i\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cb\u003eProviding an essential addition to the reference material available in the field of IoMT\u003c\/b\u003e, this timely publication covers a range of applied research on healthcare, biomedical data mining, and the security and privacy of health records.\u003c\/p\u003e\n\n\u003cp\u003eWith their ability to collect, analyse and transmit health data, IoMT tools are rapidly changing healthcare delivery. For patients and clinicians, these applications are playing a central part in tracking and preventing chronic illnesses—and they are poised to evolve the future of care.\u003c\/p\u003e\n\n\u003cp\u003eIn this book, the authors explore the potential applications of a wave of sensor-based tools—including wearables and stand-alone devices for remote patient monitoring—and the marriage of internet-connected medical devices with patient information that ultimately sets the IoMT ecosystem apart.\u003c\/p\u003e\n\n\u003cp\u003eThis book demonstrates the connectivity between medical devices and sensors is streamlining clinical workflow management and leading to an overall improvement in patient care, both inside care facilities and in remote locations.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47455779946732,"sku":"9781119768838","price":486.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/71PdlOpBGbL._SL1500.jpg?v=1774798124"}],"url":"https:\/\/bookhero.pro\/collections\/series-advances-in-learning-analytics-for-intelligent-cloud-iot-systems.oembed","provider":"Book Hero","version":"1.0","type":"link"}