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Titlebook: Industry 4.0 and Healthcare; Impact of Artificial Ashish Mishra,Jerry Chun-Wei Lin Book 2023 The Editor(s) (if applicable) and The Author(s

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發(fā)表于 2025-3-21 17:44:12 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Industry 4.0 and Healthcare
副標(biāo)題Impact of Artificial
編輯Ashish Mishra,Jerry Chun-Wei Lin
視頻videohttp://file.papertrans.cn/465/464332/464332.mp4
概述Presents stages of Industrial Revolution in Artificial Intelligence and its Impact on Industry 4.0 and Healthcare.Highlights emerging trends in integration of different intelligent manufacturing syste
叢書名稱Advanced Technologies and Societal Change
圖書封面Titlebook: Industry 4.0 and Healthcare; Impact of Artificial Ashish Mishra,Jerry Chun-Wei Lin Book 2023 The Editor(s) (if applicable) and The Author(s
描述This book presents different stages of Industrial Revolution in artificial intelligence and its impact on industry 4.0 and Healthcare. It contains chapters prepared for the industrial landscape which is being transformed to the fourth stage with the rise of autonomous robots, contemporary automation, cyber-physical systems, the Internet of things, and the Internet of services for examining the circumstances of health care system for the future. It highlights the emerging trends in integration of different intelligent manufacturing systems and advanced information technologies. Additionally, understanding of the real-world issues using artificial intelligence and the solutions discussed in this book help the enormous numbers of techniques which can be applied for effective diagnosis and predicting diseases from health care data..
出版日期Book 2023
關(guān)鍵詞Hybrid Artificial Intelligence; Drug Discovery; Personalized Medicine; Precision Medicine; Autonomous Ro
版次1
doihttps://doi.org/10.1007/978-981-99-1949-9
isbn_softcover978-981-99-1951-2
isbn_ebook978-981-99-1949-9Series ISSN 2191-6853 Series E-ISSN 2191-6861
issn_series 2191-6853
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Designing Dense-Healthcare IOT Networks for Industry 4.0 Using AI-Based Energy Efficient Reinforcemefore, the chapter presents the case study of the Reinforced Learning-based EE routing (EER-RL) for highly dense LPWAN IoT network deployments healthcare uses. The performance enhancement based on optimum parameter selection and learning is adopted for highly dense IoT networks. Reinforcement learni
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How Artificial Intelligence is Transforming Medicine: The Future of Pharmaceutical Research,atures. Peptide formulation, edifice virtual testing, ligand-based silico, toxicity prognostication, drug tracking and release, pharmacophore modelling, quantifiable structure–activity connection, drug realigning, polypharmacology, and physical and chemical action have all used machine learning and
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Artificial Intelligence Based Querying of Healthcare Data Processing,along with the suitable medication is possible. In this work we are trying to explore out and out flow of the health care data management with the technologies like Hadoop and Spark based architectures. The suitability here is to store huge amounts of the data the best filesystem is Hadoop and to pr
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A Vision for Industry 4.0 Utilising AI Techniques and Methods,free tasks, and the majority of these dynamic concepts rest inside the same establishment theory as false experiences do, where the diagram and suggestion of the crucial understood course of growth are helped by the examination and filtration of enormous quantities of getting closer information from
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