GRACE 发表于 2025-3-25 05:42:22
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http://reply.papertrans.cn/47/4615/461492/461492_22.png慌张 发表于 2025-3-25 14:06:59
Jingchun Cheng,Shengjin Wang,Chunxi Zhangr-based and ARR-based fault diagnosis, and for regression and projection in failure prognosis. It turns out that there are some commercial integrated modelling and simulation software environments such as 20-sim. or Bondsim™ that support bond graph modelling and enable to perform offline simulationpancreas 发表于 2025-3-25 19:25:03
http://reply.papertrans.cn/47/4615/461492/461492_24.png表示问 发表于 2025-3-25 22:12:22
http://reply.papertrans.cn/47/4615/461492/461492_25.png举止粗野的人 发表于 2025-3-26 04:06:09
Hong Qin,Gaoyun An,Qiuqi Ruan set of model reduction techniques that are particularly amenable to bond graph models due to the common energy-based nature of these techniques and the bond graph language. Three techniques are presented that are developed with model order reduction, model partitioning, and simultaneous order and sFOVEA 发表于 2025-3-26 05:39:30
http://reply.papertrans.cn/47/4615/461492/461492_27.pnganus928 发表于 2025-3-26 08:32:10
set of model reduction techniques that are particularly amenable to bond graph models due to the common energy-based nature of these techniques and the bond graph language. Three techniques are presented that are developed with model order reduction, model partitioning, and simultaneous order and sFree-Radical 发表于 2025-3-26 14:05:24
Jimin Yu,Jiajun Yin,Saiao Huang,Maowei Qin,Xiankun Yang,Shangbo Zhoua system when modeling its dynamic behavior for a specific problem context. This is done from a port-based point of view for which the domain-independent bond graph notation is used, which has been misinterpreted over and over, due to the paradigm shift that concept-oriented modeling in terms of por没有准备 发表于 2025-3-26 18:07:56
Residual Multi-resolution Network for Hyperspectral Image Denoising based on Residual Multiresolution Network (RMRNet) for HSI denoising, which exploits multiscale information better from multiresolution versions of HSIs produced by pixelshuffle operation. The convolutional neural network (CNN) is used for extracting the spatial information among different resoluti