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Titlebook: Emerging Technologies in Biomedical Engineering and Sustainable TeleMedicine; Jihad Alja’am,Somaya Al-Maadeed,Osama Halabi Book 2021 The E

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樓主: Suture
21#
發(fā)表于 2025-3-25 03:27:10 | 只看該作者
22#
發(fā)表于 2025-3-25 08:40:53 | 只看該作者
Human Facial Age Estimation: Handcrafted Features Versus Deep Features,essor. Also, we investigate the strength and weakness of handcrafted and deep features for facial age estimation. Experiments are conducted on three public databases (FG-NET, PAL and FACES). These experiments show that both handcrafted and deep features are effective for facial age estimation.
23#
發(fā)表于 2025-3-25 12:56:40 | 只看該作者
Book 2021leaders in the field contributed to the book. It covers a broad range of applications including smart platforms like DietHub which connects patients with doctors online. The book highlights the advantages of Telemedicine to improve the healthcare services and how it can contribute to the homogenizat
24#
發(fā)表于 2025-3-25 17:30:56 | 只看該作者
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發(fā)表于 2025-3-25 20:37:58 | 只看該作者
26#
發(fā)表于 2025-3-26 03:30:51 | 只看該作者
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發(fā)表于 2025-3-26 05:18:53 | 只看該作者
28#
發(fā)表于 2025-3-26 11:10:20 | 只看該作者
A Novel Machine Learning Model for Adaptive Tracking and Real-Time Forecasting COVID-19 Dynamic Proposition of experimental epidemiological data. Experimental results and comparative analysis illustrate the efficiency and applicability of the proposed methodology for adaptive tracking and real-time forecasting the dynamic propagation behavior of novel coronavirus 2019 (COVID-19) outbreak in Brazil.
29#
發(fā)表于 2025-3-26 14:51:40 | 只看該作者
Exploiting Egocentric Cues for Action Recognition for Ambient Assisted Living Applications,meras and the egocentric action recognition techniques for the analysis of egocentric videos. This chapter proposes various of those techniques focused on the exploitation of intrinsic egocentric cues.
30#
發(fā)表于 2025-3-26 20:43:28 | 只看該作者
Internet of Medical Things (IoMT) Applications in E-Health Systems Context,t energy, and smart healthcare. Healthcare is an area that takes a lot of benefits from IoT technology (composing the Internet of Medical Things (IoMT)) since low-cost devices and sensors can be used to create medical assistance systems, reducing the deployment and maintenance costs, and at the same
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