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Titlebook: Bioinspired Systems for Translational Applications: From Robotics to Social Engineering; 10th International W José Manuel Ferrández Vicente

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21#
發(fā)表于 2025-3-25 07:16:02 | 只看該作者
Bioinspired Systems for Translational Applications: From Robotics to Social Engineering978-3-031-61137-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
22#
發(fā)表于 2025-3-25 10:19:04 | 只看該作者
Concern, Misfortune, and Despairhe vehicle trajectories in the video sequences. A wide range of real and synthetic videos have been used to test the goodness of the proposal with satisfactory results, from traffic cameras at different heights and angles, different traffic patterns, and various weather conditions.
23#
發(fā)表于 2025-3-25 14:04:43 | 只看該作者
24#
發(fā)表于 2025-3-25 16:53:51 | 只看該作者
25#
發(fā)表于 2025-3-25 21:47:56 | 只看該作者
26#
發(fā)表于 2025-3-26 01:18:52 | 只看該作者
Multiple Infections and CTL Dynamics,P system hosted by another party, called the server, without compromising the privacy of the input or the result. The paper also discusses two brute-force attacks on the protocol and shows that the probability that the server compromises the client’s confidentiality is negligible.
27#
發(fā)表于 2025-3-26 04:46:24 | 只看該作者
Unsupervised Detection of?Incoming and?Outgoing Traffic Flows in?Video Sequenceshe vehicle trajectories in the video sequences. A wide range of real and synthetic videos have been used to test the goodness of the proposal with satisfactory results, from traffic cameras at different heights and angles, different traffic patterns, and various weather conditions.
28#
發(fā)表于 2025-3-26 10:39:56 | 只看該作者
29#
發(fā)表于 2025-3-26 16:27:47 | 只看該作者
Deep Learning for?Assistive Decision-Making in?Robot-Aided Rehabilitation Therapyd has shown an accuracy of 93.21% and an F1-Score of 85.05% with the validation dataset. Furthermore, the model has achieved an accuracy of 69.32% and an F1-Score of 63.31% with users who were not involved in the model learning process.
30#
發(fā)表于 2025-3-26 17:51:08 | 只看該作者
Deep Learning for?Enhanced Risk Assessment in?Home Environments both models increases the results up to 7% in the Object Detection task, which is fundamental for the correct identification of potential risks. This comprehensive approach aims to develop more human-aligned and accurate systems for aiding vulnerable populations in their daily lives.
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