Prediction of Quality for Different Type of Wine based on Different Feature Sets Using Supervised Machine Learning Techniques-Reference-Cited by-同舟云学术

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Prediction of Quality for Different Type of Wine based on Different Feature Sets Using Supervised Machine Learning Techniques

Published:2019-02 Issue: Volume: Page:
ISSN:
Container-title:2019 21st International Conference on Advanced Communication Technology (ICACT)
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Author:

Aich Satyabrata,Al-Absi Ahmed Abdulhakim,Lee Hui Kueh,Sain Mangal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8694794/8701885/08702017.pdf?arnumber=8702017

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mastering Precision in Pivotal Variables Defining Wine Quality via Incremental Analysis of Baseline Accuracy;IEEE Access;2024

2. Utilization of Random Forest Classifier (RFC) To Predict the Quality of Beverages;2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI);2023-11-23

3. Performance Evaluation of Machine Learning and Neural Network Algorithms for Wine Quality Prediction;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

4. Evaluation of Table Grape Flavor Based on Deep Neural Networks;Applied Sciences;2023-05-27

5. Enhancing red wine quality prediction through Machine Learning approaches with Hyperparameters optimization technique;2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT);2023-04-05

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