interleukins
发表于 2025-3-21 18:28:58
书目名称Deep Learning in Smart eHealth Systems影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0264628<br><br> <br><br>书目名称Deep Learning in Smart eHealth Systems影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0264628<br><br> <br><br>书目名称Deep Learning in Smart eHealth Systems网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0264628<br><br> <br><br>书目名称Deep Learning in Smart eHealth Systems网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0264628<br><br> <br><br>书目名称Deep Learning in Smart eHealth Systems被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0264628<br><br> <br><br>书目名称Deep Learning in Smart eHealth Systems被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0264628<br><br> <br><br>书目名称Deep Learning in Smart eHealth Systems年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0264628<br><br> <br><br>书目名称Deep Learning in Smart eHealth Systems年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0264628<br><br> <br><br>书目名称Deep Learning in Smart eHealth Systems读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0264628<br><br> <br><br>书目名称Deep Learning in Smart eHealth Systems读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0264628<br><br> <br><br>
宣誓书
发表于 2025-3-21 22:24:46
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重力
发表于 2025-3-22 02:04:47
,Design and Engineering of a Medical Wearable Device for Parkinson’s Disease Management,of PD stages and disease progression, especially concerning tremor and bradykinesia. This chapter endeavors to craft a holistic ecosystem capable of capturing motion data associated with PD and securely transmitting it to the cloud for storage, data processing, and severity estimation, all facilitat
无思维能力
发表于 2025-3-22 04:54:46
,Deep Learning Models for Parkinson’s Disease Severity Evaluation,ignals are analyzed using the CatBoost classifier. This approach yields an impressive accuracy rate of 96%. The findings of this study substantially contribute to the development of a reliable and accurate framework for assessing PD severity.
导师
发表于 2025-3-22 12:28:13
Conclusion and Prospects for Further Development,nd support offered to prevailing theories and models in the field of PD monitoring. It highlights the creation of an objective monitoring system for assessing PD symptoms, which employs meticulous preprocessing, feature extraction, and model evaluation techniques.
OCTO
发表于 2025-3-22 16:54:27
Determinanten der Demokratiezufriedenheitof PD stages and disease progression, especially concerning tremor and bradykinesia. This chapter endeavors to craft a holistic ecosystem capable of capturing motion data associated with PD and securely transmitting it to the cloud for storage, data processing, and severity estimation, all facilitat
OCTO
发表于 2025-3-22 18:11:29
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Credence
发表于 2025-3-22 21:39:35
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brachial-plexus
发表于 2025-3-23 04:32:48
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温和女孩
发表于 2025-3-23 05:35:29
2191-5768 work using Deep Learning and IoT wearable devices to assess .One of the main benefits of this book is that it presents a comprehensive and innovative eHealth framework that leverages deep learning and IoT wearable devices for the evaluation of Parkinson‘s disease patients. This framework offers a ne