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Using geometry and physics to explain feature learning in deep neural networks
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...
The American Journal of Managed Care1d
Exploring the Potential of Machine Learning in Optimizing Respiratory Failure Treatment
Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...
IEEE6d
Development of Continuous AMSR-E/2 Soil Moisture Time ... - IEEE Xplore
Development of Continuous AMSR-E/2 Soil Moisture Time Series by Hybrid Deep Learning Model (ConvLSTM2D and Conv2D) and Transfer Learning for Reanalyses ...
IEEE6d
Development of a High-Resolution Tropospheric Delay Model Integrating ...
In this study, a high-resolution (5 km) zenith tropospheric delay (ZTD) model, named the data assimilation model of ZTD (DAM), is developed by assimilating GNSS ZTDs into the fifth-generation of ...