巨硕 发表于 2025-3-25 06:46:21
Dynamics of planar and spatial rigid-body systems,spatial rigid-body mechanisms will be collected in ., combining the . of . and the . of .. This provides model equations in . for . rigid bodies and in . for . and .. A few aspects concerning the . will be briefly discussed in ..和平主义者 发表于 2025-3-25 11:32:15
Book 2002lt by engineers trained in quite different disciplines. Conventional methods of modeling rigid-body mechanisms In contrast to the comparatively simple and easy-to-learn basic laws of rigid body systems, the practical application of these laws to the planar or spatial motions of industrial mechanism吝啬性 发表于 2025-3-25 15:24:33
http://reply.papertrans.cn/84/8304/830376/830376_23.png线 发表于 2025-3-25 17:19:03
http://reply.papertrans.cn/84/8304/830376/830376_24.pnguncertain 发表于 2025-3-25 23:39:12
http://reply.papertrans.cn/84/8304/830376/830376_25.pngBmd955 发表于 2025-3-26 01:16:43
http://reply.papertrans.cn/84/8304/830376/830376_26.pngOutmoded 发表于 2025-3-26 04:57:08
http://reply.papertrans.cn/84/8304/830376/830376_27.png组成 发表于 2025-3-26 08:55:15
igid-body mechanisms In contrast to the comparatively simple and easy-to-learn basic laws of rigid body systems, the practical application of these laws to the planar or spatial motions of industrial mechanism978-3-642-07617-6978-3-662-04831-3沙发 发表于 2025-3-26 16:43:16
Flow and Health: A Bio-psycho-social Perspectiveand treatment have been developed across cultures and millennia. This chapter deals with the role of optimal experience in promoting health, by first presenting the dominant WHO definitions of health, held as universally valid standards across cultures. It then illustrates some of the constructs pro刺激 发表于 2025-3-26 20:11:13
Simplifying Knowledge-Aware Aggregation for Knowledge Graph Collaborative Filtering problem of collaborative filtering. To capture the rich semantics of knowledge graph, existing KG-based models utilize graph neural networks (GNNs). However, we empirically find that the feature transformation and nonlinear activation designs in GNN contribute little to the recommendation performan