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Deme C. Abraham
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Title
An Artificial Intelligence Approach to Ultra High Frequency Path Loss Modelling of the Suburban Areas of Abuja, Nigeria
Article
Journal
oleh
Deme
C
.
Abraham
Terbitan:
2020
Daftar Isi:
';
“
... over the widely used empirical COST 231 Hata, which has an RMSE of 8.18dB.
Deme
C
.
Abraham
...
”
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A Generalized Regression Neural Network Approach to Wireless Signal Strength Prediction
Article
Journal
oleh
Finangwai D. Jacob
,
Deme
C
.
Abraham
,
Gurumdimma Y. Nentawe
Terbitan:
2020
Daftar Isi:
';
“
..., the COST 231 Hata significantly underestimates it. Finangwai D. Jacob |
Deme
C
.
Abraham
| Gurumdimma Y...
”
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Related Subjects
Artificial Intelligence
Adaptive Neuro-Fuzzy Inference System
Field Strength
Generalized Radial Basis Function Neural Network
Generalized Regression Neural Network
Hata-Okumura
Multi-Layer Perceptron Neural Network
Okumura Model
Path Loss
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