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Title: | Machine learning techniques for information extraction to improve production control | Authors: | Luc Duc Khoi | Keywords: | Machine learning methods;Information extraction;Production control | Issue Date: | 2020 | Abstract: | Nowadays, with a dramatic rise in technology and science, many applications have been developed and created remarkable changes in the life of everyone. Looking at Viet Nam, a beingdeveloped country where huge advantages in the labor force and investment takes place, the manufacturing and production field has become a key direction of the country’s economy developing plan. Therefore, the urgent need for technology is essential. One of the biggest problems is the quality of the product, which plays a crucial role in the success of a company. One of the solutions for this problem is a system to monitor, detect, and classify defects of goods. With the advancement in the machine learning field, simple to a complex task can be solved, and this results in a significant improvement in quality, cost, efficiency, and productivity. With a desire to learn and create a system of detection using machine learning, I choose “Machine Learning Techniques for Information Extraction to improve Production Control” topic for the thesis |
URI(1): | http://epub.vgu.edu.vn/handle/dlibvgu/1080 |
Appears in Collections: | Mechanical Engineering (MEN) |
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