Overview: The modern robotics software stack spans middleware, simulation, motion planning, and DevOps tools working in ...

Abstract: Keratoconus affects approximately one in 2,000 individuals worldwide. It is typically associated with the decrease in visual acuity. Given its wide prevalence, there is an unmet need for the ...

Abstract: Kernel-based machine learning regression algorithms (MLRAs) are potentially powerful methods for being implemented into operational biophysical variable retrieval schemes. However, they face ...

The dataset, which the researchers have made available on the Open Reaction Database, is nearly five times as large as the ...

A toolkit for actively pairing conditions in pairwise comparison preference aggregation. Pairwise comparison data arise in many domains with subjective assessment experiments. In these experiments ...

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of ...

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

The company maintains an incredible rate of growth. In the first quarter of fiscal 2027, CrowdStrike reported annual ...

A new study published in Engineering has combined machine learning (ML) and experimental validation to identify dihydromyricetin (DHM), a natural flavonoid, as a potent inhibitor of the TGF-β/ALK5 ...

Kharizmi helped solidify the concept of algorithms in mathematics and popularized algebra and the use of the zero.

He built interfaces that allowed engineers, scientists and everyday people to solve difficult problems without having to ...

Xizhe Zhang is a professor working across computer science and medicine at the Affiliated Brain Hospital of Nanjing Medical University and the School of Biomedical Engineering and Informatics, Nanjing ...