This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

Artificial intelligence hurricane forecast models learn as they go, sharpened 2025 predictions and helped people act sooner ...

Abstract: A Battery Energy Storage System (BESS) plays an important role in achieving energy transition and climate change mitigation, with charging management applications being a crucial topic to ...

Koopman theory is a technique to encode sampled data (aka states) of a nonlinear dynamical system into a linear domain. This is very powerful as a linear model can: Give insight into the dynamics via ...

Our comprehensive AI consulting services help you harness the transformative power of AI, enhancing your operational capabilities and product offerings. Our experts partner with you to understand your ...

Objectives To develop an interpretable deep learning model of lupus nephritis (LN) relapse prediction based on dynamic multivariable time-series data. Design A single-centre, retrospective cohort ...

Artificial intelligence–enhanced ECG analysis shows promise to detect ventricular dysfunction and remodeling in adult populations. However, its application to pediatric populations remains ...

Deep learning techniques can use public data such as facial photographs to predict sensitive personal information, but little is known about what information contributes to the predictive success of ...

Prediction of crop yield is an essential task for maximizing the global food supply, particularly in developing countries. This study investigated lettuce yield (fresh weight) prediction using four ...

Abstract: The increase in electric power demand pushes the modern power system for more interconnected networks. It leads to a lack of inertia and creates more critical disturbances in the power ...