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 …

Deep Learning-based Framework for Power Converter Circuit Identification and Analysis

B Bohara, HS Krishnamoorthy - IEEE Access, 2024 - ieeexplore.ieee.org
This paper introduces a deep learning-based framework for identifying hand-drawn
schematics of power converter circuits and performing automated simulations. The …

[HTML][HTML] A method for the automated digitalization of fluid circuit diagrams

V Stegmaier, N Jazdi, M Weyrich - Computers in Industry, 2024 - Elsevier
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 …

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 …

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 …

Otimização de processos de transporte

NMA Gabriel - 2024 - recipp.ipp.pt
Um engenheiro eletrotécnico, principalmente ao longo do seu primeiro ano académico, é
introduzido à análise de circuitos elétricos. Esta análise é iniciada com a apresentação aos …