Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...
Abstract: The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, ...
Abstract: In this article, a framework for the analog implementation of a deep convolutional neural network (CNN) is introduced and used to derive a new circuit architecture which is composed of an ...
Have you ever found yourself staring at a blank page, trying to organize a complex idea or process, but not knowing where to start? Whether it’s mapping out a workflow, designing an organizational ...
As one of the most widely adopted 3D sensing techniques, fringe projection profilometry (FPP) reconstructs the depth information of a scene from stereo images taken with sequential structured ...
Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...
Pre-stack seismic inversion usually uses various traditional algorithms to estimate elastic parameters such as P-wave velocity, S-wave velocity, and density. It is hard to derive accurate elastic ...
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