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Nathan E Blake

Showing results (1-10 of 8) with videos related to

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Sensors (Basel, Switzerland)|December 31, 2025
Deep Learning for Tumor Segmentation and Multiclass Classification in Breast Ultrasound Images Using Pretrained ModelsK E ArunKumar, Matthew E Wilson, Nathan E Blake, et al.
Journal of Animal Science|August 10, 2023
Predicting dry matter intake in beef cattleNathan E Blake, Matthew Walker, Shane Plum, et al.
Animals : an Open Access Journal From MDPI|December 30, 2025
Associations Between Feeding Behaviors, Residual Feed Intake, and Residual Average Daily Gain in Performance Tested Yearling Bulls and Heifers Fed a High-Forage DietTylor J Yost, Nathan E Blake, Ida Holásková, et al.
Animals : an Open Access Journal From MDPI|October 16, 2025
Technical Note: Assessment of a Novel Method to Measure Water Intake in Beef Cattle and Its Application to Determining Dry Matter IntakeHartley J VanGilder, Nathan E Blake, Tylor J Yost, et al.
Journal of Animal Science|February 13, 2025
Predicting dry matter intake in cattle at scale using gradient boosting regression techniques and Gaussian process boosting regression with Shapley additive explanation explainable artificial intelligence, MLflow, and its containerizationK E ArunKumar, Nathan E Blake, Matthew Walker, et al.
Journal of Animal Science|February 22, 2026
Characterization of Individual Beef Cattle Water IntakeNathan E Blake, K E ArunKumar, Matthew Walker, et al.
Journal of Animal Science|April 29, 2026
Predicting Individual Water Intake in Beef Cattle Using Longitudinal Data and Long Short-Term Memory ModelsNathan E Blake, K E ArunKumar, Matthew Walker, et al.
Journal of Animal Science|May 11, 2026
Generalizable Long Short-Term Memory Models for Beef Cattle DMI Under Grazing1Nathan E Blake, K E ArunKumar, Matthew Walker, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|December 31, 2025
Deep Learning for Tumor Segmentation and Multiclass Classification in Breast Ultrasound Images Using Pretrained ModelsK E ArunKumar, Matthew E Wilson, Nathan E Blake, et al.
Journal of Animal Science|August 10, 2023
Predicting dry matter intake in beef cattleNathan E Blake, Matthew Walker, Shane Plum, et al.
Animals : an Open Access Journal From MDPI|December 30, 2025
Associations Between Feeding Behaviors, Residual Feed Intake, and Residual Average Daily Gain in Performance Tested Yearling Bulls and Heifers Fed a High-Forage DietTylor J Yost, Nathan E Blake, Ida Holásková, et al.
Animals : an Open Access Journal From MDPI|October 16, 2025
Technical Note: Assessment of a Novel Method to Measure Water Intake in Beef Cattle and Its Application to Determining Dry Matter IntakeHartley J VanGilder, Nathan E Blake, Tylor J Yost, et al.
Journal of Animal Science|February 13, 2025
Predicting dry matter intake in cattle at scale using gradient boosting regression techniques and Gaussian process boosting regression with Shapley additive explanation explainable artificial intelligence, MLflow, and its containerizationK E ArunKumar, Nathan E Blake, Matthew Walker, et al.
Journal of Animal Science|February 22, 2026
Characterization of Individual Beef Cattle Water IntakeNathan E Blake, K E ArunKumar, Matthew Walker, et al.
Journal of Animal Science|April 29, 2026
Predicting Individual Water Intake in Beef Cattle Using Longitudinal Data and Long Short-Term Memory ModelsNathan E Blake, K E ArunKumar, Matthew Walker, et al.
Journal of Animal Science|May 11, 2026
Generalizable Long Short-Term Memory Models for Beef Cattle DMI Under Grazing1Nathan E Blake, K E ArunKumar, Matthew Walker, et al.
Pageof 1