Prediction of CO2 Emissions Using an Artificial Neural Network: The Case of the Sugar Industry-Reference-Cited by-同舟云学术

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Prediction of CO2 Emissions Using an Artificial Neural Network: The Case of the Sugar Industry

Published:2015-10-01 Issue:10 Volume:21 Page:3079-3083
ISSN:1936-6612
Container-title:Advanced Science Letters
language:en
Short-container-title:adv sci lett

Author:

Saleh Chairul¹,Chairdino Leuveano Raden Achmad²,Ab Rahman Mohd Nizam²,Md Deros Baba²,Dzakiyullah Nur Rachman³

Affiliation:

1. Department of Industrial Engineering, Faculty of Industrial Technology, Universitas Islam Indonesia, Yogyakarta, 55584, Indonesia

2. Department of Mechanical and Material Engineering, Faculty of Engineering and Build Environment, Univeriti Kebangsaan Malaysia, Malaysia

3. Department of Informatics Engineering, Faculty of Engineering, Janabadra University, Yogyakarta, Indonesia

Publisher

American Scientific Publishers

Subject

General Energy,General Engineering,General Environmental Science,Education,General Mathematics,Health (social science),General Computer Science

Cited by 10 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. Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling;Smart Agricultural Technology;2024-12

2. Decision Support for Carbon Emission Reduction Strategies in China’s Cement Industry: Prediction and Identification of Influencing Factors;Sustainability;2024-06-27

3. Constructing a predicting model for ecological footprint in G20 countries through artificial neural network;Energy & Environment;2024-06-02

4. Explaining Meta-learner’s Predictions: Case of Corporate CO2 Emissions;Communications in Computer and Information Science;2024

5. Maximising Net Zero in Energy-Intensive Industries: An Overview of AI Applications for Greenhouse Gas Reduction;Journal of Climate Change;2023-03-13

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