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Titlebook: Optimization, Learning Algorithms and Applications; Second International Ana I. Pereira,Andrej Ko?ir,Rui P. Lopes Conference proceedings 20

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樓主: dabble
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發(fā)表于 2025-3-23 11:09:00 | 只看該作者
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發(fā)表于 2025-3-23 14:09:59 | 只看該作者
Sensor Architecture Model for?Unmanned Aerial Vehicles Dedicated to?Electrical Tower Inspectionson were compared with those obtained in a real scenario of electrical inspections. The proposed method achieved its goals as a mechanism to early evaluate the detection capability of different previously characterized sensor architectures used in multirotor UAV for electrical inspections.
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發(fā)表于 2025-3-23 18:30:19 | 只看該作者
A Review of?Dynamic Difficulty Adjustment Methods for?Serious Gamesral DDA approaches used in rehabilitation and entertainment games. We concluded that many studies use Reinforcement Learning (RL) because it requires no pre-training and can adapt the game in real time without prior knowledge.
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發(fā)表于 2025-3-24 01:51:57 | 只看該作者
Anxiety Monitoring System: A Preliminary Approachn kappa score. Ultimately, this technology can be applied to self and autonomous stress/anxiety detection purposes or partner with specialists who deal with these problems on a day-to-day basis like psychologists or psychiatrists.
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發(fā)表于 2025-3-24 06:18:40 | 只看該作者
Traffic Light Optimization of?an?Intersection: A Portuguese Case Studyhowed it is possible to decrease by 78.2% the average value of the waiting time. In conclusion, by better managing the traffic light cycle time, traffic flow without congestion or queues can be achieved.
16#
發(fā)表于 2025-3-24 08:41:11 | 只看該作者
1865-0929 22, held in?Bragan?a, Portugal, in October 2022...The 53 full papers and 3 short papers were thoroughly reviewed and selected from 145 submissions. They are organized in the topical sections on Machine and Deep Learning; Optimization; Artificial Intelligence; Optimization in Control Systems Design;
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發(fā)表于 2025-3-24 13:37:53 | 只看該作者
978-3-031-23235-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-24 14:51:23 | 只看該作者
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發(fā)表于 2025-3-24 22:06:27 | 只看該作者
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發(fā)表于 2025-3-24 23:21:26 | 只看該作者
https://doi.org/10.1007/978-3-031-23236-7artificial intelligence; classification; computer networks; computer systems; computer vision; correlatio
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