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All Outputs (3)

Predicting Responses to Mechanical Ventilation for Preterm Infants with Acute Respiratory Illness using Artificial Neural Networks (2018)
Journal Article
Brigham, K., Gupta, S., & Brigham, J. C. (2018). Predicting Responses to Mechanical Ventilation for Preterm Infants with Acute Respiratory Illness using Artificial Neural Networks. International Journal for Numerical Methods in Biomedical Engineering, 34(8), Article e3094. https://doi.org/10.1002/cnm.3094

Infants born prematurely are particularly susceptible to respiratory illness due to underdeveloped lungs, which can often result in fatality. Preterm infants in acute stages of respiratory illness typically require mechanical ventilation assistance,... Read More about Predicting Responses to Mechanical Ventilation for Preterm Infants with Acute Respiratory Illness using Artificial Neural Networks.

Estimation and Fusion for Tracking Over Long-Haul Links Using Artificial Neural Networks (2017)
Journal Article
Liu, Q., Brigham, K., & Rao, N. S. (2017). Estimation and Fusion for Tracking Over Long-Haul Links Using Artificial Neural Networks. IEEE Transactions on Signal and Information Processing over Networks, 3(4), 760-770. https://doi.org/10.1109/tsipn.2017.2662619

In a long-haul sensor network, sensors are remotely deployed over a large geographical area to perform certain tasks, such as tracking and/or monitoring of one or more dynamic targets. A remote fusion center fuses the information provided by these se... Read More about Estimation and Fusion for Tracking Over Long-Haul Links Using Artificial Neural Networks.