{"product_id":"machine-learning-modeling-for-iout-networks-internet-of-underwater-things-9783030685669","title":"Machine Learning Modeling for IoUT Networks: Internet of Underwater Things","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eMachine learning and IoT are used in smart control of underwater environments, with applications in opportunistic communication and localization. Challenges include modeling underwater communication from two perspectives. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 63 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 30 May 2021\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Nature Switzerland AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThe book delves into the captivating realm of smart control in underwater environments, facilitated by the convergence of machine learning and the Internet of Things (IoT). The authors commence by introducing the fundamental physical characteristics of seawater, laying the foundation for subsequent discussions. They then explore the realm of opportunistic transmission, emphasizing its significance in underwater communication. This is followed by an in-depth exploration of localization and positioning techniques, leveraging machine learning algorithms to enhance accuracy and reliability. The authors further delve into the realm of machine learning modeling for underwater communication, highlighting its potential to revolutionize the field. Additionally, they address the ongoing challenges faced in this domain, drawing from two distinct perspectives: communication engineering and data science.\u003cbr\u003e\u003cbr\u003eFurthermore, the book showcases practical applications of machine learning techniques in opportunistic communication and underwater localization. It sheds light on the current challenges associated with machine learning modeling of underwater communication, emphasizing the need for interdisciplinary collaboration and innovative solutions. By examining these topics in depth, the book provides valuable insights into the future of smart control in underwater environments, offering a comprehensive understanding of the interplay between machine learning, IoT, and underwater technology.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe book delves into the captivating realm of smart control in underwater environments, facilitated by the convergence of machine learning and the Internet of Things (IoT). The authors commence by introducing the fundamental physical characteristics of seawater, laying the foundation for subsequent discussions. They then explore the realm of opportunistic transmission, emphasizing its significance in underwater communication. This is followed by an in-depth exploration of localization and positioning techniques, leveraging machine learning algorithms to enhance accuracy and reliability. The authors further delve into the realm of machine learning modeling for underwater communication, highlighting its potential to revolutionize the field. Additionally, they address the ongoing challenges faced in this domain, drawing from two distinct perspectives: communication engineering and data science.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003eFurthermore, the book showcases practical applications of machine learning techniques in opportunistic communication and underwater localization. It sheds light on the current challenges associated with machine learning modeling of underwater communication, emphasizing the need for interdisciplinary collaboration and innovative solutions. By examining these topics in depth, the book provides valuable insights into the future of smart control in underwater environments, offering a comprehensive understanding of the interplay between machine learning, IoT, and underwater technology.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 454g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783030685669\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2021\u003c\/p\u003e","brand":"Ahmad A. Aziz El-Banna,Kaishun Wu","offers":[{"title":"Paperback \/ softback","offer_id":44103109869818,"sku":"9783030685669","price":37.47,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1646383320558_book.jpg?v=1646985582","url":"https:\/\/shulphink.com\/products\/machine-learning-modeling-for-iout-networks-internet-of-underwater-things-9783030685669","provider":"Shulph Ink","version":"1.0","type":"link"}