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Improving the robustness of beach water quality modeling using an ensemble machine learning approach
The Science of The Total Environment
◽
10.1016/j.scitotenv.2020.142760
◽
2020
◽
pp. 142760
Author(s):
Leizhi Wang
◽
Zhenduo Zhu
◽
Lauren Sassoubre
◽
Guan Yu
◽
Chen Liao
◽
...
Keyword(s):
Machine Learning
◽
Water Quality
◽
Water Quality Modeling
◽
Learning Approach
◽
Ensemble Machine Learning
◽
Machine Learning Approach
◽
Quality Modeling
◽
Beach Water Quality
◽
Beach Water
Download Full-text
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Cloud based ensemble machine learning approach for smart detection of epileptic seizures using higher order spectral analysis
Physical and Engineering Sciences in Medicine
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10.1007/s13246-021-00970-y
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Author(s):
Kuldeep Singh
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Jyoteesh Malhotra
Keyword(s):
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Spectral Analysis
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Higher Order
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Ensemble Machine Learning
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Predicting stream water quality under different urban development pattern scenarios with an interpretable machine learning approach
The Science of The Total Environment
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10.1016/j.scitotenv.2020.144057
◽
2021
◽
Vol 761
◽
pp. 144057
Author(s):
Runzi Wang
◽
Jun-Hyun Kim
◽
Ming-Han Li
Keyword(s):
Machine Learning
◽
Water Quality
◽
Urban Development
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Stream Water
◽
Development Pattern
◽
Learning Approach
◽
Stream Water Quality
◽
Interpretable Machine Learning
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Machine Learning Approach
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Sentiment Analysis Using Tuned Ensemble Machine Learning Approach
Advances in Data and Information Sciences - Lecture Notes in Networks and Systems
◽
10.1007/978-981-10-8360-0_27
◽
2018
◽
pp. 287-297
Author(s):
Pradeep Singh
Keyword(s):
Machine Learning
◽
Sentiment Analysis
◽
Learning Approach
◽
Ensemble Machine Learning
◽
Machine Learning Approach
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Ensemble Machine Learning Approach for Android Malware Classification Using Hybrid Features
Advances in Intelligent Systems and Computing - Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017
◽
10.1007/978-3-319-59162-9_20
◽
2017
◽
pp. 191-200
◽
Cited By ~ 1
Author(s):
Abdurrahman Pektaş
◽
Tankut Acarman
Keyword(s):
Machine Learning
◽
Learning Approach
◽
Hybrid Features
◽
Android Malware
◽
Malware Classification
◽
Ensemble Machine Learning
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Machine Learning Approach
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An enhanced intelligent model: To protect marine IoT sensor environment using ensemble machine learning approach
Ocean Engineering
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10.1016/j.oceaneng.2021.110180
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2021
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Vol 242
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pp. 110180
Author(s):
Dimple Tiwari
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Bhoopesh Singh Bhati
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Bharti Nagpal
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Shweta Sankhwar
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Fadi Al-Turjman
Keyword(s):
Machine Learning
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Learning Approach
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Ensemble Machine Learning
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Machine Learning Approach
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Intelligent Model
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An Ensemble Machine Learning Approach for the Estimation of Lower Extremity Kinematics Using Shoe-Mounted IMU Sensors
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Md Sanzid
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Joseph Dranetz
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Hwan Choi
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Zhishan Guo
Keyword(s):
Machine Learning
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Lower Extremity
◽
Learning Approach
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Ensemble Machine Learning
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Machine Learning Approach
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Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
International Journal of Production Economics
◽
10.1016/j.ijpe.2019.01.032
◽
2019
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Vol 211
◽
pp. 22-33
◽
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Author(s):
You Zhu
◽
Li Zhou
◽
Chi Xie
◽
Gang-Jin Wang
◽
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Keyword(s):
Machine Learning
◽
Supply Chain
◽
Credit Risk
◽
Learning Approach
◽
Supply Chain Finance
◽
Ensemble Machine Learning
◽
Machine Learning Approach
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Advanced chromatographic technique for performance simulation of anti-Alzheimer agent: an ensemble machine learning approach
SN Applied Sciences
◽
10.1007/s42452-020-03690-2
◽
2020
◽
Vol 2
(11)
◽
Author(s):
U. M. Ghali
◽
Abdullahi Garba Usman
◽
Z. M. Chellube
◽
Mohamed Alhosen Ali Degm
◽
Kujtesa Hoti
◽
...
Keyword(s):
Machine Learning
◽
Learning Approach
◽
Chromatographic Technique
◽
Performance Simulation
◽
Ensemble Machine Learning
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Machine Learning Approach
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Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project
PLoS ONE
◽
10.1371/journal.pone.0179805
◽
2017
◽
Vol 12
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◽
pp. e0179805
◽
Cited By ~ 64
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Manal Alghamdi
◽
Mouaz Al-Mallah
◽
Steven Keteyian
◽
Clinton Brawner
◽
Jonathan Ehrman
◽
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Keyword(s):
Diabetes Mellitus
◽
Machine Learning
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Exercise Testing
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Learning Approach
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Ensemble Machine Learning
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Henry Ford
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DNA methylation biomarker selected by an ensemble machine learning approach predicts mortality risk in an HIV-positive veteran population
Epigenetics
◽
10.1080/15592294.2020.1824097
◽
2020
◽
pp. 1-13
Author(s):
Chang Shu
◽
Amy C. Justice
◽
Xinyu Zhang
◽
Vincent C. Marconi
◽
Dana B. Hancock
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...
Keyword(s):
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Dna Methylation
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Mortality Risk
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Hiv Positive
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Learning Approach
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Ensemble Machine Learning
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Machine Learning Approach
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