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Borja Espejo-Garcia, Ioannis Malounas, Eleanna Vali and Spyros Fountas
In the past years, several machine-learning-based techniques have arisen for providing effective crop protection. For instance, deep neural networks have been used to identify different types of weeds under different real-world conditions. However, these...
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Minki Hong, Hanse Ahn, Othmane Atif, Jonguk Lee, Daihee Park and Yongwha Chung
Failure to quickly and accurately detect abnormal situations, such as the occurrence of infectious diseases, in pig farms can cause significant damage to the pig farms and the pig farming industry of the country. In this study, we propose an economical a...
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Xinpeng Wang, Shengxiang Huang, Chao Kang, Guanqing Li and Chenfeng Li
When the dynamic characteristics of a bridge structure are analyzed though Hilbert?Huang transform (HHT), the noise contained in the bridge dynamic monitoring data may seriously affect the performance of the first natural frequency identification. A time...
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Fabio Cumbo, Eleonora Cappelli and Emanuel Weitschek
The recent advancements in cancer genomics have put under the spotlight DNA methylation, a genetic modification that regulates the functioning of the genome and whose modifications have an important role in tumorigenesis and tumor-suppression. Because of...
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Sicong Kuang and Brian D. Davison
Twitter is a popular source for the monitoring of healthcare information and public disease. However, there exists much noise in the tweets. Even though appropriate keywords appear in the tweets, they do not guarantee the identification of a truly health...
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