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Titlebook: Intelligent Systems Design and Applications; Smart Healthcare, Vo Ajith Abraham,Anu Bajaj,Patrick Siarry Conference proceedings 2024 The Ed

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書(shū)目名稱Intelligent Systems Design and Applications
副標(biāo)題Smart Healthcare, Vo
編輯Ajith Abraham,Anu Bajaj,Patrick Siarry
視頻videohttp://file.papertrans.cn/477/476206/476206.mp4
概述Includes recent research on intelligent systems design and applications.Presents the proceedings of the 23rd International Conference on Intelligent Systems Design and Applications ISDA 2023.Written b
叢書(shū)名稱Lecture Notes in Networks and Systems
圖書(shū)封面Titlebook: Intelligent Systems Design and Applications; Smart Healthcare, Vo Ajith Abraham,Anu Bajaj,Patrick Siarry Conference proceedings 2024 The Ed
描述.This book highlights recent research on intelligent systems and nature-inspired computing. It presents 47 selected papers focused on Smart Healthcare from the 23rd International Conference on Intelligent Systems Design and Applications (ISDA 2023), which was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India, and in online mode. The ISDA is a premier conference in the field of artificial intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. ISDA 2023 had contributions by authors from 64 countries. This book offers a valuable reference guide for all medical doctors, scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and smart health care..
出版日期Conference proceedings 2024
關(guān)鍵詞Intelligent Systems; Intelligent Systems Design; Intelligent Systems Applications; ISDA; ISDA 2023
版次1
doihttps://doi.org/10.1007/978-3-031-64813-7
isbn_softcover978-3-031-64812-0
isbn_ebook978-3-031-64813-7Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Integrating Artificial Intelligence and Data Analytics for Enhanced Healthcare Management: Innovatiications. Despite the transformative potential, the integration of AI and DA in healthcare management presents a myriad of challenges. Data privacy and security concerns, interoperability issues, and the need for ethical AI implementation are critical roadblocks that must be addressed. Additionally,
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Early-Stage Lung Cancer Prediction: A Machine Learning Approach, substantiated evidence is poised to support healthcare specialists in cost-effective management and providing timely treatment. Its solid foundations strengthen the effectiveness of healthcare interventions and ultimately improve patient outcomes.
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A Deep Learning Approach With Sparse Autoencoder for Alzheimers Disease Classification,cognitive impairment. The suggested study is conducted through a series of three sequential phases. Prior to further analysis, the 3D input visuals need to undergo image preprocessing with Weiner filtering in order to remove noise and smooth the image. Following, Transfer learning models are utilize
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