A flexible and practical approach for real-time weed emergence prediction based on Artificial Neural Networks
Sign Up to like & getrecommendations! Published in 2018 at "Biosystems Engineering"
DOI: 10.1016/j.biosystemseng.2018.03.014
Abstract: Most popular emergence prediction models require species-specific population-based parameters to modulate thermal/hydrothermal accumulation. Such parameters are frequently unknown and difficult to estimate. Moreover, such models also rely on hardly available and difficult to estimate soil… read more here.
Keywords: real time; emergence prediction; artificial neural; prediction ... See more keywords
Emergence of prediction error along the human auditory hierarchy
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DOI: 10.1016/j.heares.2020.107954
Abstract: Auditory prediction errors have been extensively associated with the mismatch negativity (MMN), a cortical auditory evoked potential that denotes deviance detection. Yet, many studies lacked the appropriate controls to disentangle sensory adaptation from prediction error.… read more here.
Keywords: prediction error; auditory; hierarchy; emergence prediction ... See more keywords