That is exactly what this Raspberry Pi object detection project demonstrates. You can build a fully working object detection ...
The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital ...
TL;DR: PIN-SLAM is a full-fledged implicit neural LiDAR SLAM system including odometry, loop closure detection, and globally consistent mapping Globally consistent point-based implicit neural (PIN) ...
Dataframely is a Python package to validate the schema and content of polars data frames. Its purpose is to make data pipelines more robust by ensuring that data meets expectations and more readable ...
This study aims to develop and validate a modeling framework to predict long-term weight change on the basis of self-reported weight data. The aim is to enable focusing resources of health systems on ...
When sepsis is detected, organ damage may have progressed to irreversible stages, leading to poor prognosis. The use of machine learning for predicting sepsis early has shown promise, however ...
TFCat (Time-Frequency Catalogue) is a data interchange format based on JSON (JavaScript Object Notation), which has been initially designed for exchanging low frequency radio events and features. It ...
aDepartment of Epidemiology and Health Systems, Centre for Primary Care and Public Health (Unisanté), University of Lausanne, 10 Route de la Corniche, Lausanne 1010, Switzerland bDepartment of ...
Microsatellite instability (MSI) is characterized by high degree of polymorphism in microsatellite lengths due to deficiency in mismatch repair (MMR) system. MSI is associated with several tumor types ...
We introduce Sleep, a new Python open-source graphical user interface (GUI) dedicated to visualization, scoring and analyses of sleep data. Among its most prominent features are: (1) Dynamic display ...
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