Signal Attenuation Prediction Model for a 22 GHz Terrestrial Communication Link in Sudan Due to Dust and Sand Storms Using Machine Learning.
Mohammed Zubair M. ShamimElfatih Abdelrahman Ahmed ElsheikhFakher Eldin Mohamed Suliman SalihMd. Rafiqul IslamPublished in: IEEE Access (2021)
Keyphrases
- prediction model
- machine learning
- regression model
- signal processing
- response surface methodology
- neural network
- wavelet neural network
- high frequency
- learning algorithm
- bp neural network
- high speed
- exponential smoothing
- fuzzy neural network
- non stationary
- ls svm
- predictive model
- text mining
- stepwise regression
- wavelet analysis
- software reliability
- decision trees
- radio frequency