Machine Learning Techniques for Evaluating Disdrometer-Derived Raindrop Measurements Over Radio Links
Author:
Affiliation:
1. University of Johannesburg,Department of Electrical Engineering Technology,Johannesburg,South Africa
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10293181/10293212/10293561.pdf?arnumber=10293561
Reference24 articles.
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3. Semi-empirical characteristics of modified lognormal DSD inputs using rain rate distributions for radio links over the African continent
4. An efficient instance selection algorithm for k nearest neighbor regression
5. Disdrometer and Tipping Bucket Rain Gauge Handbook
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