Automated fabric color prediction

Automated fabric color prediction

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

书目详细资料
Main Authors: Muhtashima, Fawzia, Maksurah, Fawzia
其他作者: Jahan, Sifat E
格式: Thesis
语言:English
出版: Brac University 2024
主题:
Color prediction
Decision tree
Linear regression
Neural network
Feature Engineering
Machine learning
Neural networks (Computer science)
在线阅读:http://hdl.handle.net/10361/22664
id 10361-22664
record_format dspace
spelling 10361-226642024-04-24T21:01:22Z Automated fabric color prediction Muhtashima, Fawzia Maksurah, Fawzia Jahan, Sifat E Mostakim, Moin Department of Computer Science and Engineering, Brac University Color prediction Decision tree Linear regression Neural network Feature Engineering Machine learning Neural networks (Computer science) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 20-21). "This paper focuses on addressing some challenges faced by colorists and explores various approaches to predict fabric color changes after dyeing processes. It empha- sizes the importance of color prediction in the textile industry and proposes suitable models that can effectively carry out color prediction tasks based on given recipes. By implementing such predictive models, the textile industry can improve efficiency, reduce labor-intensive practices, and enhance the overall quality control process. The methods used in this study are supervised machine learning techniques, in- cluding multiple linear regression, decision tree, random forest, and neural network. Among these models, the most appropriate one is selected and further optimized using feature engineering techniques to improve accuracy" Fawzia Muhtashima Fawzia Maksurah B.Sc. in Computer Science 2024-04-24T06:11:11Z 2024-04-24T06:11:11Z 2023 2023-05 Thesis ID 19101204 http://hdl.handle.net/10361/22664 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 21 pages application/pdf Brac University
institution Brac University
collection Institutional Repository
language English
topic Color prediction
Decision tree
Linear regression
Neural network
Feature Engineering
Machine learning
Neural networks (Computer science)
spellingShingle Color prediction
Decision tree
Linear regression
Neural network
Feature Engineering
Machine learning
Neural networks (Computer science)
Muhtashima, Fawzia
Maksurah, Fawzia
Automated fabric color prediction
description This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
author2 Jahan, Sifat E
author_facet Jahan, Sifat E
Muhtashima, Fawzia
Maksurah, Fawzia
format Thesis
author Muhtashima, Fawzia
Maksurah, Fawzia
author_sort Muhtashima, Fawzia
title Automated fabric color prediction
title_short Automated fabric color prediction
title_full Automated fabric color prediction
title_fullStr Automated fabric color prediction
title_full_unstemmed Automated fabric color prediction
title_sort automated fabric color prediction
publisher Brac University
publishDate 2024
url http://hdl.handle.net/10361/22664
work_keys_str_mv AT muhtashimafawzia automatedfabriccolorprediction
AT maksurahfawzia automatedfabriccolorprediction
_version_ 1814307440777232384

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