書目名稱 | IoT Sensors, ML, AI and XAI: Empowering A Smarter World | 編輯 | Biswajeet Pradhan,Subhas Mukhopadhyay | 視頻video | http://file.papertrans.cn/477/476497/476497.mp4 | 概述 | Highlights case studies and innovative applications that leverage sensing technologies within the realm of IoT.Serves as a platform for researchers and practitioners to exchange knowledge in AI, ML, I | 叢書名稱 | Smart Sensors, Measurement and Instrumentation | 圖書封面 |  | 描述 | .This book uncovers and presents various real-life applications in the areas of transportation, smart cities, manufacturing, agriculture, disaster management, finance, health care and in other areas by using cutting-edge advanced Machine Learning (ML) techniques such as Deep Learning and Explainable AI (XAI) models using IoT sensor data. The book provides various examples of analyzing large amounts of data, detecting patterns, and making predictions in real-time applications and detailed case studies with practical solutions using various state-of-the-art machine learning and IoT sensor data and all these aspects will benefit the stakeholders. The book is useful for academics, researchers,?upper-undergraduate, master and Ph.D. students, engineers and practitioners?in sensor/IoT and AI/ML technologies, methods, applications, and related areas, and it also offers valuable insights by suggesting future research directions and providing recommendations within the fields of AI and IoT.. | 出版日期 | Book 2024 | 關(guān)鍵詞 | Internet of Things; machine learning; intelligent devices; smart systems; Sensors; sensor data fusion; Aut | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-68602-3 | isbn_softcover | 978-3-031-68604-7 | isbn_ebook | 978-3-031-68602-3Series ISSN 2194-8402 Series E-ISSN 2194-8410 | issn_series | 2194-8402 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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