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MACHINES A COUDRE PERFECT

MONTREAL-Canada

Company Name:
Corporate Name:
MACHINES A COUDRE PERFECT
Company Title:  
Company Description:  
Keywords to Search:  
Company Address: 6627 Boul Saint-Laurent,MONTREAL,QC,Canada 
ZIP Code:
Postal Code:
H2S3C5 
Telephone Number: 5142717993 
Fax Number:  
Website:
 
Email:
 
USA SIC Code(Standard Industrial Classification Code):
572218 
USA SIC Description:
Sewing Machines-Household 
Number of Employees:
1 to 4 
Sales Amount:
$500,000 to $1 million 
Credit History:
Credit Report:
Good 
Contact Person:
Pino Lomonaco 
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Company News:
  • Machines | An Open Access Journal from MDPI
    Machines is an international, peer-reviewed, open access journal on machinery and engineering published monthly online by MDPI The IFToMM is affiliated with Machines and its members receive a discount on the article processing charges
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    Aims Machines (ISSN 2075-1702) is an international, peer-reviewed journal on machinery and engineering It publishes research articles, reviews and communications Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible There is no restriction on the maximum length of the papers
  • Machines | Instructions for Authors - MDPI
    Machines requires that authors publish all experimental controls and make full datasets available where possible (see the guidelines on Supplementary Materials and references to unpublished data)
  • Machines | Special Issues - MDPI
    Machines publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions
  • Machines | Special Issue : Machine Learning-Driven Predictive . . . - MDPI
    Machines is an international peer-reviewed open access monthly journal published by MDPI Please visit the Instructions for Authors page before submitting a manuscript
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    Machines (ISSN: 2075-1702) is an integrative effort to explore the specialized and multidisciplinary research on machinery and engineering, including machines design and theory, machines testing and maintenance, condition monitoring and diagnostics, electrical machines and drives, robotics and intelligent machines, automation and control
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    Machines (ISSN: 2075-1702) is pleased to announce the following 29 researchers, who have been added to our group of 2025–2026 Early Career Editorial Board Members
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    Electrical machines, which can be configured with different power ratings while maintaining superiorities of high efficiency and high power density, have been widely employed in various industry sectors, such as high-speed trains, industrial robots, wind power generation, and electric vehicles




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