Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
When Hurricane Isaac in 2012 was over the coastal regions of Louisiana, USA, simultaneous measurements of both positive and negative storm surges were made by the U. S. National Ocean Service. Analysis of these datasets including wind speed and direction indicates that 93% of the positive surge and 74% of the negative surge can be explained by the windstress forcing, respectively. It is also found that the ratio of wind stress to either positive or negative surge is approximately 1:1.5, meaning that one pascal (1 N m -2 ) wind stress can generate 1.5 meters of water-level increase or decrease. This ratio may be used for forecasting or hind-casting purpose.
Prof. S. A. Hsu. 2017. \u201cMeasurements of Wind-Stress Induced Positive and Negative Storm Surges during Hurricane Isaac\u201d. Global Journal of Science Frontier Research - E: Marine Science GJSFR-E Volume 17 (GJSFR Volume 17 Issue E1): .
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Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 131
Country: United States
Subject: Global Journal of Science Frontier Research - E: Marine Science
Authors: S. A. Hsu (PhD/Dr. count: 0)
View Count (all-time): 137
Total Views (Real + Logic): 3363
Total Downloads (simulated): 1641
Publish Date: 2017 09, Sat
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Neural Networks and Rules-based Systems used to Find Rational and
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When Hurricane Isaac in 2012 was over the coastal regions of Louisiana, USA, simultaneous measurements of both positive and negative storm surges were made by the U. S. National Ocean Service. Analysis of these datasets including wind speed and direction indicates that 93% of the positive surge and 74% of the negative surge can be explained by the windstress forcing, respectively. It is also found that the ratio of wind stress to either positive or negative surge is approximately 1:1.5, meaning that one pascal (1 N m -2 ) wind stress can generate 1.5 meters of water-level increase or decrease. This ratio may be used for forecasting or hind-casting purpose.
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