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Articles | Volume XLII-4/W4
https://doi.org/10.5194/isprs-archives-XLII-4-W4-333-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLII-4-W4-333-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
27 Sep 2017
| 27 Sep 2017
A CONTEXT-AWARE TOURISM RECOMMENDER SYSTEM BASED ON A SPREADING ACTIVATION METHOD
Z. Bahramian
School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran
R. Ali Abbaspour
School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran
C. Claramunt
Naval Academy Research Institute, Brest, France
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Preprint withdrawn
Short summary
Short summary
Accurate and significant wave height prediction with a couple of hours of warning time should offer major safety improvements for coastal and ocean engineering applications. However, significant wave height phenomenon is nonlinear and nonstationary, which makes any prediction simulation a non straightforward task. The aim of the research presented in this paper is to improve predicted significant wave height via a hybrid algorithm.
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