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Heart failure (HF) has a highly variable annual mortality rate and there is an urgent need of determining patient prognosis to enable informed decision-making about heart failure treatment strategies. Existing survival risk prediction models either require features that limit their applicability or pose difficulties for parameter estimation as physicians have to use a limited set of variables with...
Due to the shutdown of the analog TV signal transmissions and the proliferation of new installations of the Brazilian digital TV system throughout the country, it is necessary a deeper understanding of the main characteristics of the digital TV propagation channels and how to precisely estimate the received power in the new TV devices to an efficient deployment project. In general, the existing propagation...
In this article, we propose three different neural networks architectures for predicting the received signal power of the Brazilian digital TV system based on the effective transmission heights for each frequency channel and the points of reception inside the coverage area. The presented models will be analyzed and compared with the main propagation models used for digital TV described in the scientific...
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