使迷惑
发表于 2025-3-25 03:28:25
Antonella Mensi,Manuele Bicegoapter describes parent–child processes that have been shown to foster children’s positive adjustment, both within and beyond the medical setting. Parents can promote adjustment by preparing their child for procedures in a developmentally appropriate manner and can reduce the child’s distress during
冰河期
发表于 2025-3-25 11:10:21
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exorbitant
发表于 2025-3-25 14:47:35
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acquisition
发表于 2025-3-25 16:27:44
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resilience
发表于 2025-3-25 21:22:24
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backdrop
发表于 2025-3-26 02:34:57
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慢跑鞋
发表于 2025-3-26 05:07:21
Emotional State Recognition with Micro-expressions and Pulse Rate Variabilityat is difficult or even impossible to perceive by the human eye. It is then natural that scientists began looking for ways to probe humans’ emotions and their psyche with this technology. In this paper, we study the feasibility of recognizing and classifying the abstract concept of . from videos of
解开
发表于 2025-3-26 09:59:44
Deep Motion Model for Pedestrian Tracking in 360 Degrees Videosthm takes advantage of a virtual Pan-Tilt-Zoom (vPTZ) camera simulated by means of the 360. video. The CNN takes in input a motion image, i.e. the difference of two images taken by using the vPTZ camera at different times by the same pan, tilt and zoom parameters. The CNN predicts the vPTZ camera pa
脆弱吧
发表于 2025-3-26 16:33:59
Comparisons of Visual Activity Primitives for Voice Activity Detection, visual activity (e.g., head, hand or whole body motion) is also correlated with speech, and can be used for VAD. Convolutional Neural Networks (CNNs) have demonstrated significantly good results for many applications including visual activity-related tasks. It can be possible to exploit CNN’s effe
针叶类的树
发表于 2025-3-26 19:07:54
Vehicle Trajectories from Unlabeled Data Through Iterative Plane Registrationng which agents are populating it and how they are moving. The capacity to predict how these may act in the near future would allow an autonomous vehicle to safely plan its trajectory, minimizing the risks for itself and others. In this work we propose an automatic trajectory annotation method explo