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Olive fruit fly trap measurements are used as one of the indicators for olive grove infestation, and therefore, as a consultation tool on spraying parameters. In this paper, machine learning techniques are used to predict the next olive fruit fly trap measurement, given input knowledge of previous trap measurements as well as an attribute that acts as a correlation model between the temperature and...
In this work a study for the role of different environmental factors to the evolution of olive fruit fly, via an appropriate network of population traps is given. More explicitly, the olive fruit fly is a parasitic insect that infests olive groves in many countries. Through the use of a network of traps a simulation model was developed and used to simulate the dispersion of olive fruit fly inside...
Prepositional phrase attachment is a major disambiguation problem when it's about parsing natural language, for many languages. In this paper a low resources policy is proposed using supervised machine learning algorithms in order to resolve the disambiguation problem of Prepositional phrase attachment in Modern Greek. It is a first attempt to resolve Prepositional phrase attachment in Modern Greek,...
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