"
Improved the Prediction of Multiple Linear Regression Model Performance Using the Hybrid Approach: A Case Study of Chlorophyll-a at the Offshore Kuala Terengganu, Terengganu"
written by Muhamad Safiih Lola, Mohd Noor Afiq Ramlee, G. Sugan Gunalan, Nurul Hila Zainuddin, Razak Zakariya, MdSuffian Idris, Idham Khalil,
published by
Open Journal of Statistics,
Vol.6 No.5, 2016
has been cited by the following article(s):
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Developing Alternative Multilinear Regression-Based Intelligence Hybrid Model
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Application of a Hybrid Multiple Linear Regression (MLR) and Artificial Neural Network (ANN) Models to Produced Water Quality Prediction. Howard, CC, 2 Etuk …
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Application of statistical techniques in environmental modelling
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[11]
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Regression and Artificial Neural Network based Improved Classification of LISS-III Satellite Image
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[12]
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SCHOOL OF APPLIED SCIENCES OF NEAR EAST UNIVERSITY
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[1]
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Prediction of Organic Pollution of Waters from the Déganobo Lake System: A Modeling Study
Science Letters,
2024
DOI:10.47262/SL/12.1.132024960
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[2]
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Progressive Decision-Making Tools and Applications in Project and Operation Management
Studies in Systems, Decision and Control,
2024
DOI:10.1007/978-3-031-51719-8_6
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[3]
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Application of statistical techniques in environmental modelling
APPLIED PHYSICS OF CONDENSED MATTER (APCOM 2019),
2019
DOI:10.1063/1.5118082
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[4]
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Regression and Artificial Neural Network based Improved Classification of LISS-III Satellite Image
2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC),
2017
DOI:10.1109/CTCEEC.2017.8455083
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