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Titlebook: GeNeDis 2018; Computational Biolog Panayiotis Vlamos Conference proceedings 2020 The Editor(s) (if applicable) and The Author(s), under exc

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發(fā)表于 2025-3-21 16:11:31 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱GeNeDis 2018
副標(biāo)題Computational Biolog
編輯Panayiotis Vlamos
視頻videohttp://file.papertrans.cn/381/380993/380993.mp4
概述Proceedings of the 3rd World Congress on Genetics, Geriatrics and Neurodegenerative Disease Research.Latest research on healthy aging and mental wellness.This volume focuses on computational biology a
叢書名稱Advances in Experimental Medicine and Biology
圖書封面Titlebook: GeNeDis 2018; Computational Biolog Panayiotis Vlamos Conference proceedings 2020 The Editor(s) (if applicable) and The Author(s), under exc
描述The 3rd World Congress on Genetics, Geriatrics, and Neurodegenerative Disease Research (GeNeDis 2018), focuses on recent advances in genetics, geriatrics, and neurodegeneration, ranging from basic science to clinical and pharmaceutical developments. It also provides an international forum for the latest scientific discoveries, medical practices, and care initiatives. Advanced information technologies are discussed, including the basic research, implementation of medico-social policies, and the European and global issues in the funding of long-term care for elderly people.?.
出版日期Conference proceedings 2020
關(guān)鍵詞Computer Science; Informatics; Conference Proceedings; Research; Applications; Brain Disorders; Geriatrics
版次1
doihttps://doi.org/10.1007/978-3-030-32622-7
isbn_softcover978-3-030-32624-1
isbn_ebook978-3-030-32622-7Series ISSN 0065-2598 Series E-ISSN 2214-8019
issn_series 0065-2598
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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Antibody Clustering Using a Machine Learning Pipeline that Fuses Genetic, Structural, and Physicochr antibody clustering, still no consensus has been reached. Numerous attempts use information from genes, protein sequences, 3D structures, and 3D surfaces in an effort to elucidate unknown action mechanisms directly related to their function and to either link them directly to diseases or drive the
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,WOL Ecosystem: Secure Remote Power?– State Control of Computer(s) Over the Internet for Telemedicinnformation which is saved on any kind of computer but is powered off. Such an example is when someone is abroad and needs to access a specific set of data that are saved on a computer back home. A solution to that problem is the well-known WOL?– Wake On Lan?– functionality, but that alone is not eno
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Multivariate Data Analysis and Machine Learning for Prediction of MCI-to-AD Conversion,he earlier the diagnosis, the most effective the treatment. (Semi)-automated structural magnetic resonance imaging (MRI) processing approaches are very popular in AD research. Mild cognitive impairment (MCI) is considered to be a stage between normal cognitive ageing and dementia. MCI can often be t
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A Deep Learning Approach for Human Action Recognition Using Skeletal Information,). The network is trained on discrete Fourier transform (DFT) images that result from raw sensor readings, i.e., each human action is ultimately described by an image. More specifically, we work using 3D skeletal positions of human joints, which originate from processing of raw RGB sequences enhance
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