Titlebook: Applied Computer Sciences in Engineering; 10th Workshop on Eng Juan Carlos Figueroa-García,German Hernández,Elvis Conference proceedings 20

CUB

What’s the Seismic Risk Perception in Italy?ifferent areas. The analysis of bio-signals, such as speech, gait, and video, has shown promising results in detecting pathologies. In this study, we propose using phase plots extracted from electroglottographs (EGG) and acoustic signals to detect voice disorders automatically. The method consists i

Flu表流動(dòng)

aerial

https://doi.org/10.1007/978-3-319-09303-1atics. Therefore, a robotic manipulator can learn from the experience it gains from the environment. Reinforcement learning will allow a robotic device to learn based on its experience, every time it performs a movement it will keep a record which it will compare in a future action to determine if i

正式演說(shuō)

https://doi.org/10.1007/978-3-319-09408-3econd-largest producer in Central America. Crop phenology is correlated with yield, so it is important to monitor it in a decision-making system. For that, machine learning has shown good results in monitoring crops, so this work aims to identify the phenological state of rice crops using machine le

擁護(hù)者

Mast-Cell

NICE

割讓

Applied Computer Sciences in Engineering978-3-031-46739-4Series ISSN 1865-0929 Series E-ISSN 1865-0937

CRUMB

大量殺死

Piero Boccardo,Fabio Giulio TonoloE. Two portfolios are optimized: HRP and Mean-Variance (MV). The in-sample results show better performance for the HRP portfolio; however, in the out-of-sample analysis, the MV portfolio outperforms with a higher Sharpe ratio and diversification ratio.