| 书目名称 | Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications | | 编辑 | V. Ajantha Devi | | 视频video | | | 概述 | Delivers a comprehensive overview of all aspects of big data analytics and the Internet of Things (IoT).Addresses tools, techniques, and challenges of machine learning algorithm implementation.Discuss | | 丛书名称 | Contributions to Environmental Sciences & Innovative Business Technology | | 图书封面 |  | | 描述 | .This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery.. | | 出版日期 | Book 2024 | | 关键词 | Machine learning (ML); Convolution neural network (CNN); Internet of Things (IoT); IoT enabled CNN; Big | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-97-5365-9 | | isbn_softcover | 978-981-97-5367-3 | | isbn_ebook | 978-981-97-5365-9Series ISSN 2731-8303 Series E-ISSN 2731-8311 | | issn_series | 2731-8303 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 19:05:58
