Prediction of environmental effects in received signal strength in FM/TV station based on meteorological parameters using artificial neural network and data mining-Reference-Cited by-同舟云学术

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Prediction of environmental effects in received signal strength in FM/TV station based on meteorological parameters using artificial neural network and data mining

Published:2019-11 Issue: Volume:250 Page:109454
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Mirbagheri Seyed Ahmad,Mohammadi Mostafa

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference31 articles.

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3. CRISPDM 1.0 Step-by-step Data Mining Guide;Chapman,2000

4. From data mining to knowledge discovery in databases;Fayyad;AI Mag.,1996

5. Investigation ofThe influence of atmospheric temperature and relative humidity on Fm radio signal strength: a case study of We Fm Abuja.;Felix;International Journalof Scientific& Technology Research V,2017

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1. Investigating the Impacts of Tropospheric Parameters on Received Signal Strength of the Mobile Communication System;Annals of Science and Technology;2023-12-01

2. VSI: Environment & Energy;Journal of Environmental Management;2020-09

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