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Titlebook: Body Area Networks. Smart IoT and Big Data for Intelligent Health Management; 16th EAI Internation Masood Ur Rehman,Ahmed Zoha Conference p

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樓主: Grievous
11#
發(fā)表于 2025-3-23 11:32:36 | 只看該作者
A Preliminary Study of RF Propagation for High Data Rate Brain Telemetryc and Medical (ISM) and ultrawideband UWB frequencies. These frequency bands are considered as possible candidates for high data rate wireless brain telemetry. The study is conducted using a high-resolution 3D computational model of the human head. Power flow analysis is conducted to visualize propa
12#
發(fā)表于 2025-3-23 15:26:57 | 只看該作者
13#
發(fā)表于 2025-3-23 21:48:06 | 只看該作者
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發(fā)表于 2025-3-24 00:30:24 | 只看該作者
15#
發(fā)表于 2025-3-24 03:45:16 | 只看該作者
16#
發(fā)表于 2025-3-24 07:34:03 | 只看該作者
17#
發(fā)表于 2025-3-24 11:06:36 | 只看該作者
18#
發(fā)表于 2025-3-24 15:57:42 | 只看該作者
Betrachtung der wesentlichen Befundeet for making predictions on unknown data. Random forest was able to provide the best results with an accuracy result to 96.70% and used for the model. A wearable device dataset was used as a benchmark to provide a comparison in performance of the USRP dataset.
19#
發(fā)表于 2025-3-24 20:02:06 | 只看該作者
20#
發(fā)表于 2025-3-25 00:32:40 | 只看該作者
Ansatz zur Analyse sozialer Entwicklungenults state that bidirectional long short-term memory (BiLSTM) outperforms the ML methods with a detection accuracy of 91.28%. Furthermore, the comparison with the state-of-the-art indicates the superiority of the our framework over the other proposed approaches in the literature.
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