In recent years, scientists and researchers have increasingly believed that utilizing large-scale datasets enhances the accuracy of traditional machine learning algorithms and deep learning models ...

In February 2024, a shipwreck off Tobago caused a significant surface oil spill, highlighting the need for accurate modeling tools to support emergency response. This study applies the OpenOil module ...

pyForTraCC is a Python library developed for identifying, tracking, and forecasting clusters in diverse datasets. Its modular structure enables flexible integration, supporting user-defined ...

Neural activity spans multiple time scales, from milliseconds to months. Its evolution can be recorded with chronic high-density arrays such as Neuropixels probes, which can measure each spike at tens ...

Fiber clustering methods are typically used in brain research to study the organization of white matter bundles from large diffusion MRI tractography datasets. These methods enable exploratory bundle ...

The physical landscape and the need to avoid predation risk both exert costs on animal movement. Yet how these fundamental factors interact to ultimately determine wildlife space use remains unknown, ...

Update 2020/08/11: First release of People Tracker and Counter. This version detects people and their gender in a video frame, track them, count total number of people that go up or down, and write an ...

1 Graduate School of Medical Technology, Teikyo University, Tokyo, Japan. 2 Central of Radiology, Teikyo University Hospital, Tokyo, Japan. The aim of this study is to propose a novel system that has ...

Diffusion Imaging in Python (Dipy) is a free and open source software project for the analysis of data from diffusion magnetic resonance imaging (dMRI) experiments. dMRI is an application of MRI that ...