HydroGraphNet boosts watershed predictions of daily flow and nitrogen in sparse data regions

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...
IEEE

Deep Learning-Based Real-Time Model Predictive Motion Control for Distributed Drive Electric Vehicles Under Extreme Conditions

Abstract: The motion control of distributed drive electric vehicles (DDEVs) under extreme operating conditions is significantly affected by the strong nonlinearities in vehicle dynamics. A novel ...
EurekAlert!

Knowledge-guided graph machine learning for spatially distributed prediction of daily discharge and nitrogen export dynamics

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of agricultural watersheds. To address this need, a team of researchers led by the ...

From a decade of computer vision AI to medical aesthetics: How Damini Rijhwani builds clinical software

But a 2025 Harvard Business Review survey found that only six percent fully trust AI to run core business processes. Damini ...
IEEE

Model-agnostic Meta-learning for Adaptive Gait Phase and Terrain Geometry Estimation with Wearable Soft Sensors

Abstract: This letter presents a model-agnostic meta-learning (MAML) based framework for simultaneous and accurate estimation of human gait phase and terrain geometry using a small set of fabric-based ...