Výsledky vyhledávání - "GRAVES, WILLIAM"

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Terrain-based vehicle localization using an active suspension system

Autor: Jiang, Yu, Eisenmann, John, Graves, William, Sridhar, Vijayaraghavan, Anderson, Zackary

This paper, for the first time, presents a terrain-based localization approach using sensor data from an active suspension system. The contribution is four-fold. First, it is shown that a location dependent road height profile can be created from sen

Externí odkaz: http://arxiv.org/abs/2208.07162

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Akademický článek

The Southern Economy at the Precipice of the Post-Global Age : Evaluating Pandemic-Era Disruptions to the Export Sector

Autor: KALAFSKY, RONALD V., GRAVES, WILLIAM

Publikováno v: Southeastern Geographer, 2022 Dec 01. 62(4), 318-338.

Externí odkaz: https://www.jstor.org/stable/27180640

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A fully 3D multi-path convolutional neural network with feature fusion and feature weighting for automatic lesion identification in brain MRI images

Autor: Xue, Yunzhe, Xie, Meiyan, Farhat, Fadi G., Boukrina, Olga, Barrett, A. M., Binder, Jeffrey R., Roshan, Usman W., Graves, William W.

We propose a fully 3D multi-path convolutional network to predict stroke lesions from 3D brain MRI images. Our multi-path model has independent encoders for different modalities containing residual convolutional blocks, weighted multi-path feature fu

Externí odkaz: http://arxiv.org/abs/1907.07807

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A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images

Autor: Xue, Yunzhe, Farhat, Fadi G., Boukrina, Olga, Barrett, A . M., Binder, Jeffrey R., Roshan, Usman W., Graves, William W.

Automatic identification of brain lesions from magnetic resonance imaging (MRI) scans of stroke survivors would be a useful aid in patient diagnosis and treatment planning. We propose a multi-modal multi-path convolutional neural network system for a

Externí odkaz: http://arxiv.org/abs/1905.10835

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