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The Effect of Different Optimization Strategies to Physics-Constrained Deep Learning for Soil Moisture Estimation
Soil moisture is a key hydrological parameter that has significant importance to human society and the environment.
Physics-constrained Active Learning for Soil Moisture Estimation and Optimal Sensor Placement
Soil moisture is a crucial hydrological state variable that has significant importance to the global environment and agriculture.
Automated Identication of Atrial Fibrillation from Single-lead ECGs Using Multi-branching ResNet
Atrial fibrillation (AF) is the most common cardiac arrhythmia, which is clinically identified with irregular and rapid heartbeat rhythm.
Hierarchical Deep Learning with Generative Adversarial Network for Automatic Cardiac Diagnosis from ECG Signals
In this paper, we propose a two-level hierarchical deep learning framework with Generative Adversarial Network (GAN) for automatic diagnosis of ECG signals.
Physics-constrained Deep Learning for Robust Inverse ECG Modeling
The rapid developments in advanced sensing and imaging bring about a data-rich environment, facilitating the effective modeling, monitoring, and control of complex systems.
