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Identification of different γ variants was done using an original approach based on automatic analysis of Kikuchi patterns obtained by TEM in convergent beam mode.
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To circumvent these issues, this work addresses the calculation of derivative information based on automatic differentiation and sensitivity analysis to ensure increased accuracy.
In this work, we perform one of the first large-scale quantitative analysis of spontaneous aphasic speech based on automatic speech recognition (ASR) output.
In this work, a method based on automatic facial landmark detection and tracking for human expression analysis is proposed.
In this analysis the platypus results are disregarded because the platypus gene set based on automatic gene prediction is not complete.
We describe an alternative computation technique based on automatic differentiation.
Here, we present a new automatic objective measurement of speech quality based on automatic speech recognition (ASR).
All the trains run without a driver and are based on automatic navigation.
The semi-automatic measurements were based on automatic measurements using a prototype algorithm.
Variable selection for our models was partly based on automatic procedures and partly on human interference.
This paper presents an approach based on the automatic analysis of patient video data.
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