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Titlebook: Deep Learning Theory and Applications; 5th International Co Ana Fred,Allel Hadjali,Carlo Sansone Conference proceedings 2024 The Editor(s)

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樓主: 根深蒂固
21#
發(fā)表于 2025-3-25 06:32:03 | 只看該作者
22#
發(fā)表于 2025-3-25 09:11:34 | 只看該作者
Secure Coalition Formation for?Federated Machine Learning-based partition over the parties for a federated machine learning model. Partition function games find optimal and stable partitions (where no party is better off by changing groups to improve the accuracy of the aggregated DNN model) among the parties and one federated machine learning model is fo
23#
發(fā)表于 2025-3-25 13:49:05 | 只看該作者
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發(fā)表于 2025-3-25 16:05:14 | 只看該作者
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發(fā)表于 2025-3-25 20:12:28 | 只看該作者
26#
發(fā)表于 2025-3-26 02:05:16 | 只看該作者
gap. Localization is performed using the Yolov8 object detector and control using the PPO and LSTM-PPO algorithms. We achieve a 94.25% and 94.86% success rate, over 1391 and 817 landings at three different simulated environments, respectively.
27#
發(fā)表于 2025-3-26 05:26:26 | 只看該作者
Development and Applications of Gesture-Controlled Drones: Advances in Hand Gesture Recognition for ness. The system allows users to control the drone‘s movement in three axes, as well as raw movement, landing, and an emergency stop gesture. The paper concludes that gesture-based drone control can provide an alternative and more accessible control method for drones.
28#
發(fā)表于 2025-3-26 11:36:37 | 只看該作者
29#
發(fā)表于 2025-3-26 13:13:55 | 只看該作者
30#
發(fā)表于 2025-3-26 18:04:16 | 只看該作者
Closing the?Sim-to-Real Gap: Enhancing Autonomous Precision Landing of?UAVs with?Detection-Informed gap. Localization is performed using the Yolov8 object detector and control using the PPO and LSTM-PPO algorithms. We achieve a 94.25% and 94.86% success rate, over 1391 and 817 landings at three different simulated environments, respectively.
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