International Journal of Soft Computing And Artificial Intelligence (IJSCAI)
.
Follow Us On :
current issues
Volume-12,Issue-1  ( May, 2024 )
Statistics report
Apr. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 22
Paper Published : 240
No. of Authors : 689
  Journal Paper


Paper Title :
Artificial Intelligence and Convolutional Neural Networks Optimized for Industrial Processes

Author :Mauro Mazzei

Article Citation :Mauro Mazzei , (2023 ) " Artificial Intelligence and Convolutional Neural Networks Optimized for Industrial Processes " , International Journal of Soft Computing And Artificial Intelligence (IJSCAI) , pp. 10-18, Volume-11,Issue-2

Abstract : The aim of this scientific paper is an experimental of artificial intelligence techniques using deep learning and in particular convolutional neural networks (CNN) to optimize industrial processes. An application is presented that is able to recognize components within an electrical equipment and verify their state. At the same time, the application attempts to identify the coding of industrial components in order to be able to construct an enrichment of the component information. Using an optical character recognition system for detecting and reading the component coding, a search is conducted for the technical specifications of the components. On this aspect, an innovative category prediction system is presented that can recommend the best solution for possible modifications or changes in the event of component malfunctions or failures. Keywords - Artificial Intelligence, Machine Learning, Deep Learning, CNN

Type : Research paper

Published : Volume-11,Issue-2


DOIONLINE NO - IJSCAI-IRAJ-DOIONLINE-20332   View Here

Copyright: © Institute of Research and Journals

| PDF |
Viewed - 28
| Published on 2024-01-24
   
   
IRAJ Other Journals
IJSCAI updates
IJSCAI Volume-11,Issue-2(Nov,2023)
The Conference World

JOURNAL SUPPORTED BY