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The geometrical characteristic and low-level manually designed features are usually used to detect airports in optical remote sensing images. But it is insufficient to describe airport in low resolution and illumination environment. This paper presents a hard example mining algorithm to train the end-to-end deep convolutional neural network for airport detection in complex situation. Compared with...
How to operate a BFG/coal co-firing boiler in high efficiency is challenging for a gas/solid multi-fuel combustion system. Taking operation data from a real boiler, this study proposes an operation optimization strategy of BFG/coal co-firing boiler based on deep learning. Firstly, the thermal efficiency model is constructed based on deep learning with all the actual sampling data, which outperform...
Modern data acquisition routinely produces massive amounts of network data. Though many methods and models have been proposed to analyze such data, the research of network data is largely disconnected with the classical theory of statistical learning and signal processing. In this paper, we present a new framework for modeling network data, which connects two seemingly different areas: network data...
The use of sub-millimeter wave radiometer on the geostationary orbit meteorological satellite is of great significance to the study of the Earth's atmosphere. This paper presents a single-channel quasi-optical network system around 325GHz. The diffracted Gaussian beam analysis method (DGBA) and a three dimensional visual software based on it are used. This design is used in the sub-millimeter radiometer...
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