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Hand-drawn electronic component recognition using ORB
S Pavithra, NK Shreyashwini, HS Bhavana… - Procedia Computer …, 2023 - Elsevier
There is growth in interest to build a system that can recognize freely drawn symbols. In past
two years, the situation in the world has become more difficult, almost all the work in their …
two years, the situation in the world has become more difficult, almost all the work in their …
Deep Learning-based Framework for Power Converter Circuit Identification and Analysis
This paper introduces a deep learning-based framework for identifying hand-drawn
schematics of power converter circuits and performing automated simulations. The …
schematics of power converter circuits and performing automated simulations. The …
[HTML][HTML] A method for the automated digitalization of fluid circuit diagrams
Abstract The benefits of Digital Twins are widely recognized across various use cases.
However, to ensure efficient utilization of Digital Twins, it is crucial to minimize the effort …
However, to ensure efficient utilization of Digital Twins, it is crucial to minimize the effort …
Recognition of Electronic Component Orientations from Hand-Drawn Circuit Schematics through a Two Stage Machine Learning System
A Mathur, R Achar - 2024 22nd IEEE Interregional NEWCAS …, 2024 - ieeexplore.ieee.org
Large strides in Artificial Intelligence (AI) and Machine Learning (ML) have lead to the
automation of countless manual and time intensive tasks in circuit analysis and simulation …
automation of countless manual and time intensive tasks in circuit analysis and simulation …
Identificação de componentes de esquemas elétricos através de técnicas de classificação de imagem
EJP da Cunha - 2024 - search.proquest.com
Identificação de componentes de esquemas elétricos através de técnicas de classificação de
imagem Page 1 Identificação de componentes de esquemas elétricos através de técnicas de …
imagem Page 1 Identificação de componentes de esquemas elétricos através de técnicas de …