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Titlebook: Artificial Intelligence for Smart Healthcare; Parul Agarwal,Kavita Khanna,Zdzislaw Polkowski Book 2023 The Editor(s) (if applicable) and T

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發(fā)表于 2025-3-21 17:49:53 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence for Smart Healthcare
影響因子2023Parul Agarwal,Kavita Khanna,Zdzislaw Polkowski
視頻videohttp://file.papertrans.cn/163/162391/162391.mp4
發(fā)行地址Provides insight into communication technologies that govern current healthcare sector.Includes a comprehensive introduction of artificial intelligence in healthcare.Discusses various machine learning
學(xué)科分類EAI/Springer Innovations in Communication and Computing
圖書封面Titlebook: Artificial Intelligence for Smart Healthcare;  Parul Agarwal,Kavita Khanna,Zdzislaw Polkowski Book 2023 The Editor(s) (if applicable) and T
影響因子.This book provides information on interdependencies of medicine and telecommunications engineering and how the?two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut?views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare.??Authors include researchers, academics, and professionals in the field..
Pindex Book 2023
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發(fā)表于 2025-3-21 20:18:22 | 只看該作者
978-3-031-23604-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Ladislav Valach,Annette Reissfeldert their primary stage to start appropriate treatments for better results. High demand rises for investigating detailed clinical data, report summary, and medical imaging. Within a short time, it should be done with promptness. Machine Learning (ML) methods are brought to the limelight because of the
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Die Ansprüche des Verwaltungsrechtsntends to reach society. Because Arabic digits are more complicated than English models, quick creations are made. Convolutional Neural Networks (CNN) has the advantage of extracting and using feature data. The activity of the convolution process entails several layers. Specific activities would be
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發(fā)表于 2025-3-22 20:38:49 | 只看該作者
Nebenbestimmungen zu Verwaltungsakten standard MANET protocols, software, and facilities presume a collaborative and networking atmosphere and do not consider protection. Intrusion Detection Systems (IDS) that track centralised network operations and detect malicious nodes are often used to supplement certain security because mitigatio
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發(fā)表于 2025-3-22 23:26:07 | 只看該作者
https://doi.org/10.1007/978-3-662-60631-5mance, suggested Levenberg–Marquardt dependent Back Propagation (LMDBP) Equations. The precision of cloud security level prediction-based could computing also be approximated using LMSBP techniques. Artificial neural networks (ANNs) are a more effective methodology to improve efficiency and learn ne
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發(fā)表于 2025-3-23 03:23:27 | 只看該作者
Die prozessuale Relevanz der Ansprüchethe practical challenges: brusque object motion, pose variation, non-rigid object structure, full/partial occlusion, and smooth/abrupt camera motion. A critical scrutiny of the efficacy of human tracking algorithms by analyzing assorted visual parameters has been done. This work proposes a novel imp
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