Abstract: Fault diagnosis for high-dimensional industrial process data with strong nonlinear coupling remains challenging. Most existing graph convolutional network–based methods rely on static or ...
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Why automating a broken workflow with AI is a trap
Optimizing tasks and ignoring the system, automates waste. This framework lets you map friction and unlock real productivity gains. The post Why automating a broken workflow with AI is a trap appeared ...
Abstract: This research aims to develop a sophisticated method for precisely predicting high-value patents by integrating a technology component network with patent metric features. This integration ...
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