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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3201142
Abstract: Convolutional Neural Networks (ConvNets or CNNs) have been candidly deployed in the scope of computer vision and related fields. Nevertheless, the dynamics of training of these neural networks lie still elusive: it is hard and…
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Keywords:
pso convolutional;
neural networks;
heterogeneous learning;
convolutional neural ... See more keywords
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Published in 2023 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph20054155
Abstract: Clustering algorithms are widely used to mine the heterogeneity between meteorological observations. However, traditional applications suffer from information loss due to data processing and pay little attention to the interaction between meteorological indicators. In this…
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Keywords:
learning functional;
regression;
clustering regression;
meteorological indicators ... See more keywords