capillaries 发表于 2025-3-23 11:30:53

Jiang Wang,Zicheng Liu,Ying Wuddressing the contribution of the parenchyma has been made easier in recent years because of the development of the alveolar capsule technique which permits direct measurement of alveolar pressure . Resistive losses across the lung can, thereby, be partitioned into a component due to airway resis

过渡时期 发表于 2025-3-23 16:24:46

Jiang Wang,Zicheng Liu,Ying Wuddressing the contribution of the parenchyma has been made easier in recent years because of the development of the alveolar capsule technique which permits direct measurement of alveolar pressure . Resistive losses across the lung can, thereby, be partitioned into a component due to airway resis

endocardium 发表于 2025-3-23 21:11:10

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stress-test 发表于 2025-3-23 23:23:08

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Uncultured 发表于 2025-3-24 06:23:12

Learning Actionlet Ensemble for 3D Human Action Recognition,pproach on three challenging action recognition datasets captured by Kinect devices, a multiview action recognition dataset captured with Kinect device, and a dataset captured by a motion capture system. The experimental evaluations show that the proposed approach achieves superior performance to th

Exaggerate 发表于 2025-3-24 08:10:28

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encomiast 发表于 2025-3-24 11:31:47

Book 2014lection techniques for occlusion handling. This work enables the reader to quickly familiarize themselves with the latest research, and to gain a deeper understanding of recently developed techniques. It will be of great use for both researchers andpractitioners.

细胞学 发表于 2025-3-24 15:47:26

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有组织 发表于 2025-3-24 22:16:02

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想象 发表于 2025-3-25 01:26:59

Jiang Wang,Zicheng Liu,Ying Wuop at the level of the lung tissues . Furthermore, numerous animal studies have now shown that increases in lung resistance (RL) during exogenous or endogenous constriction are due, in large part, to changes in tissue resistance . Traditionally, changes in lung resistance with induced
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查看完整版本: Titlebook: Human Action Recognition with Depth Cameras; Jiang Wang,Zicheng Liu,Ying Wu Book 2014 The Author(s) 2014 3D Action Recognition.3D Sensors.