Prediction of signal attenuation due to air pollutants using bayes-DCNN
In modern wireless communication, radio waves are crucial for signal transmission between mobile devices, but they are subject to attenuation when interacting with air pollutants such as PM10 particles. This research proposes a novel Bayes-Deep Convolutional Neural Network (Bayes-DCNN) to predict si...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2024-01-01
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| Series: | Environmental Research Communications |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2515-7620/ad966d |
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