This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...

Use this approach if you need to load wave data, wind data, or both with individual function calls. Each call returns the data and its own metadata. Use this approach for convenience if you need both ...

Quantitative analysis in analytical chemistry is a fundamental aspect of scientific research and industrial applications. Precise measurement of compounds in complex mixtures is essential to ...

Photoplethysmography is a non-invasive technique used for measuring several vital signs and for the identification of individuals with an increased disease risk. Its principle of work is based on ...

Signal-to-noise ratio (SNR) limits what we can learn from data. In fluorescence microscopy, SNR is set by the number of photons acquired from a sample and the efficiency with which these photon are ...

Directed cortical responses to intracranial electrical stimulation are a good standard for mapping inter-regional direct connectivity. Cortico-cortical evoked potential (CCEP), elicited by single ...

The grid cell network in the medial entorhinal cortex (MEC) has been subject to thorough testing and analysis, and many theories for their formation have been suggested. To test some of these theories ...