scholarly journals A framework for the optimal integration of solar assisted district heating in different urban sized communities: A robust machine learning approach incorporating global sensitivity analysis

2020 ◽  
Vol 267 ◽  
pp. 114903 ◽  
Author(s):  
Mohamed Hany Abokersh ◽  
Manel Vallès ◽  
Luisa F. Cabeza ◽  
Dieter Boer
Keyword(s):  
Machine Learning ◽  
Sensitivity Analysis ◽  
Global Sensitivity Analysis ◽  
District Heating ◽  
Learning Approach ◽  
Global Sensitivity ◽  
Optimal Integration ◽  
Machine Learning Approach

scholarly journals Gene shaving using a sensitivity analysis of kernel based machine learning approach, with applications to cancer data

PLoS ONE ◽  
2019 ◽  
Vol 14 (5) ◽  
pp. e0217027
Author(s):  
Md. Ashad Alam ◽  
Mohammd Shahjaman ◽  
Md. Ferdush Rahman ◽  
Fokhrul Hossain ◽  
Hong-Wen Deng
Keyword(s):  
Machine Learning ◽  
Sensitivity Analysis ◽  
Learning Approach ◽  
Cancer Data ◽  
Machine Learning Approach ◽  
Gene Shaving

scholarly journals Designing bioinspired green nanosilicas using statistical and machine learning approaches

2021 ◽  
Vol 6 (4) ◽  
pp. 293-307
Author(s):  
Luc Dewulf ◽  
Mauro Chiacchia ◽  
Aaron S. Yeardley ◽  
Robert A. Milton ◽  
Solomon F. Brown ◽  
...  
Keyword(s):  
Machine Learning ◽  
Sensitivity Analysis ◽  
Design Of Experiments ◽  
Process Design ◽  
Global Sensitivity Analysis ◽  
Sequential Design ◽  
Learning Approaches ◽  
Global Sensitivity ◽  
Sustainable Product ◽  
Product And Process

This is a first comparison of the sequential design of experiments strategy and global sensitivity analysis for nanomaterials, thus enabling sustainable product and process design in future.

scholarly journals A machine learning approach to fault detection in district heating substations

2018 ◽  
Vol 149 ◽  
pp. 226-235 ◽  
Author(s):  
Sara Månsson ◽  
Per-Olof Johansson Kallioniemi ◽  
Kerstin Sernhed ◽  
Marcus Thern
Keyword(s):  
Machine Learning ◽  
Fault Detection ◽  
District Heating ◽  
Learning Approach ◽  
Machine Learning Approach
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