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Titlebook: Contactless Healthcare Facilitation and Commodity Delivery Management During COVID 19 Pandemic; Mousmi Ajay Chaurasia,Stefan Mozar Book 20

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發(fā)表于 2025-3-21 18:16:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Contactless Healthcare Facilitation and Commodity Delivery Management During COVID 19 Pandemic
編輯Mousmi Ajay Chaurasia,Stefan Mozar
視頻videohttp://file.papertrans.cn/237/236285/236285.mp4
概述Highlights the use of existing and new technologies in going “contactless” during a pandemic.Discusses the design of a drone capable of carrying a payload of 1Kg and flying a distance of about 2kms.Pr
叢書名稱Advanced Technologies and Societal Change
圖書封面Titlebook: Contactless Healthcare Facilitation and Commodity Delivery Management During COVID 19 Pandemic; Mousmi Ajay Chaurasia,Stefan Mozar Book 20
描述This book offers concepts related to communication engineering principles to fight the current Covid situation, by developing contactless need-based solutions. COVID-19, a global pandemic makes us rethink how governments, organizations, and societies around the world can work with minimum or without physical contact. Technologies like artificial intelligence and big data are?playing an essential role in responding to the COVID-19 pandemic. This?book is a combination of chapters related to imaging and detective technologies used by the experts to fight the COVID-19 pandemic and a?combination of interesting content covering the need of hour solutions generated through cutting edge technologies. In the absence of a proper medicine or vaccine, it is quite evident that nutrition plays an important role in the quick recovery of covid patients which must be very carefully planned with proper diagnostics. Data analysis and X-Ray/CT Image analysis by next-generation techniques like deep sensing, machine learning is interesting and useful for research and applied healthcare professionals. Research findings with a focus on diagnostics and reports generated through important data analysis in t
出版日期Book 2022
關(guān)鍵詞Contactless delivery; Pandemic response; Food delivery; Medicine delivery; Machine Learning (ML); Contact
版次1
doihttps://doi.org/10.1007/978-981-16-5411-4
isbn_softcover978-981-16-5413-8
isbn_ebook978-981-16-5411-4Series 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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Logistikmanagement als Zeitcontrollingedict nCOVID-19 infected patients from the CXRIs. These models are evaluated on the CXRIs, and most of these CNNs achieved good sensitivity and specificity values. We also exhibited the accuracy and loss value curves for the selected number of epochs. The experimentations of the proposed work are ca
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Kapazit?ts- und Kostenplanung bei Projektenr contains 112 COVID and 112 normal images. The testing set has 30 COVID CXR and 30 normal CXR images. In order to explain the internal learning of CNN, activation maps (or feature maps) have been visualized. Subsequently, heatmaps are generated with the Grad-CAM technique and overlayed on the CXR i
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Kapazit?ts- und Kostenplanung bei Projektenexamples of cloud computing are Dropbox, Google Drive, and iCloud. These storage services allow the users to store data over the internet with a specific amount of storage depending on the user’s requirements..Computerized management, i.e., maintaining information of an institution, hospital, is an
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