EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Unmanned aerial vehicles (UAVs), commonly known as drones, are now widely used worldwide to tackle various real-world tasks, ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

Real-time vehicle data are collected using cameras deployed along highways, and key traffic parameters such as flow, density, and speed are precisely extracted using the YOLOv8 object detection model.

This study presented a novel mobile ultrasonic stratified flow velocity measurement device, integrating machine learning algorithms to predict flow velocities in agricultural irrigation channels.

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

Based on the research on the application of machine learning (ML) methods in hydraulic fracturing, this paper analyzes the limitations and applicability of classical ML algorithms as well as ...

Abstract: In recent years, deep learning has opened countless research opportunities across many different disciplines. At present, visualization is mainly applied to explore and explain neural ...