A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, according to a study coordinated by Brazilian researchers affiliated with the ...
In today's digital landscape, understanding network traffic has become crucial for effective management and security. IP traffic analysis provides valuable insights into data flow across digital ...
Research from Umeå University paves the way for a quantitative data analysis method to study the cell division process in individual cells. The improved resolution will promote advanced cell analysis ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
Researchers at Baylor College of Medicine have developed a powerful new data analysis method named COOKIE-Pro (Covalent Occupancy Kinetic Enrichment via Proteomics) that provides a comprehensive, ...
From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence
Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
Led by Helmholtz Munich, scientists have developed an accessible software solution specifically designed for the analysis of complex medical health data. The open-source software called “ehrapy” ...
The lower the uncertainty in solar resource data, the lower the investment costs. IEA PVPS Task 16 has organized and published two benchmarks to make uncertainty of models and data comparable – a ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results