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Titlebook: 7th EAI International Conference on Robotic Sensor Networks; EAI ROSENET 2023 ?mer Melih Gül,Paolo Fiorini,Seifedine Nimer Kadry Conference

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樓主: Malevolent
21#
發(fā)表于 2025-3-25 06:45:11 | 只看該作者
,Note sur les grands ponts en béton armé,ies by analyzing the waveform patterns derived from the input PPG signal, which enables further medical analysis. The best obtained results are an R2 score of 0.76 for ABP, an MAE of 6.52 mmHg for DBP, using an encoder–decoder model on a sequence of 4s, and an MAE of 10.48 mmHg for SBP using GRU neural network on a sequence of 1s.
22#
發(fā)表于 2025-3-25 08:15:08 | 只看該作者
https://doi.org/10.1007/978-3-7091-5326-0llnesses. In this paper, we are going to give an overview of some state-of-the-art use cases of diverse XAI techniques in the field of biomarker discovery. Ultimately, it is a survey that should serve as a beacon for researchers and practitioners to further explore this interdisciplinary domain.
23#
發(fā)表于 2025-3-25 12:28:11 | 只看該作者
24#
發(fā)表于 2025-3-25 18:13:54 | 只看該作者
25#
發(fā)表于 2025-3-25 22:05:26 | 只看該作者
2522-8595 rom robotics in medicine to robotics in rescue and surveilla.This book presents the proceedings of the 7th EAI International Conference on Robotics and Networks 2023 (EAI ROSENET 2023). The conference explores the integration of networks, communications, and robotic technologies, which has become a
26#
發(fā)表于 2025-3-26 02:52:52 | 只看該作者
27#
發(fā)表于 2025-3-26 05:11:15 | 只看該作者
Jahresberichte des Sonnblick-Vereinesperiments, the performances are assessed for various scenarios involving 10 robots and 20 robots with the same number of tasks. Here, the Hungarian algorithm is used as an optimal benchmark algorithm to demonstrate the reliability of the theoretical findings and the robustness of the proposed model.
28#
發(fā)表于 2025-3-26 09:23:27 | 只看該作者
29#
發(fā)表于 2025-3-26 13:54:42 | 只看該作者
Die zweite Bauweise Arno Fischer, approximations studied in literature and propose our own probability density function approximation to the sum of log-normals based on distribution fitting to a set of simulated random variables. We evaluate localization performance of grid search technique using the proposed approximation and the
30#
發(fā)表于 2025-3-26 17:17:18 | 只看該作者
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