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K E ArunKumar

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.
Chaos, Solitons, and Fractals|March 22, 2021
Forecasting of COVID-19 using deep layer Recurrent Neural Networks (RNNs) with Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) cellsK E ArunKumar, Dinesh V Kalaga, Ch Mohan Sai Kumar, et al.
Applied Soft Computing|February 15, 2021
Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive Integrated Moving Average (ARIMA) and Seasonal Auto-Regressive Integrated Moving Average (SARIMA)K E ArunKumar, Dinesh V Kalaga, Ch Mohan Sai Kumar, 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.
Chaos, Solitons, and Fractals|March 22, 2021
Forecasting of COVID-19 using deep layer Recurrent Neural Networks (RNNs) with Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) cellsK E ArunKumar, Dinesh V Kalaga, Ch Mohan Sai Kumar, et al.
Applied Soft Computing|February 15, 2021
Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive Integrated Moving Average (ARIMA) and Seasonal Auto-Regressive Integrated Moving Average (SARIMA)K E ArunKumar, Dinesh V Kalaga, Ch Mohan Sai Kumar, 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