A team of researchers from Ca' Foscari University of Venice and the Universidad Autónoma de Madrid has developed a ...

First, we build a multikernel-based data-driven model of vehicle dynamics and driving behavior, considering time delays and uncertainties of drivers' actions. Second, a model-based receding horizon ...

Vivian Health reports AI is revolutionizing medical imaging, enhancing speed, accuracy, and patient care through advanced ...

Then, we constructed a model using machine learning to identify core differentially expressed molecular markers. Finally, we compared the clinical characteristics and test results of recent severe and ...

Computational image sensors with CNN processing capabilities are emerging to alleviate the energy-intensive and time-consuming data movement between sensors and external processors. However, deploying ...

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing method robustness in 2D LC, practical approaches for tracking peaks across ...

Subsequently, we constructed a prognostic model using machine learning methods and evaluated its performance. Based on the prognostic model, we further performed functional and pathway analysis, ...

Here, we propose a machine learning framework that deciphers the nonlinear relationships between synthetic parameters and electrical conductivity in 2D OMCs, enabling quantitative predictions for ...