Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...
Wind and solar power have grown faster than almost anyone predicted, but projecting their future expansion remains ...
Abstract: Generative Adversarial Networks (GANs) are a major innovation in the field of deep learning. It has been widely used in image generation and text-to-image conversion tasks. However, it is ...
GE HealthCare today announced a digital integration between the GE HealthCare bkActivtm intraoperative ultrasound (iUS) system and the Medtronic Stealth AXiStm surgical navigation system, which is now ...
As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...
Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...
In the second paragraph, first sentence following the bulleted list of the release issued on March 31, 2026: ISO 13585 should ...
Using preliminary data from the Vera C. Rubin Observatory, scientists have discovered over 11,000 new asteroids. The data ...
Major release delivers seamless Ignition SCADA, enterprise-grade security, advanced ML algorithms, and private cloud ...
RapidDirect, a China leader in the digital manufacturing landscape, today announced the successful deployment of a major AI-driven upgrade to its Instant ...
The cohort was randomly divided into training and testing datasets in a 7:3 ratio, and multiple ML techniques were used to develop an algorithm for optimizing initial vancomycin dosing. The optimal ...
This project is a real-time audio visualizer built with Rust and the Bevy game engine. It transforms audio data from a file or a microphone into visual animations. With an interactive UI, you can ...
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