Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
Electronic health record (EHR) adoption was driven, in part, by a recognition of the power of data. Given the complexities of healthcare ...
Abstract: This lagtime intelligence framework is a premise for real-time data processing in IoT settings. It solves the dilemma of latency, bandwidth consumption, and data privacy via hierarchical ...
With the rapid advancement of robotics, intelligent sensing, and autonomous decision-making, robotic and AI systems are increasingly influencing human life ...
The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...
AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...
Abstract: Wind power data often suffers from missing values due to sensor faults and unstable transmission at edge sites. While federated learning enables privacy-preserving collaboration without ...
After a relatively light movie year, Hollywood has prepared a cornucopia of new releases for both streaming and theaters during the harvest season. With two new releases from Richard Linklater, the ...
OpenAI's Stargate program is rapidly expanding with five new U.S. data center sites, boosting capacity to nearly 7 GW and supporting a $400 billion investment aimed at reaching 10 GW. The development ...
Background: Lung adenocarcinoma is the most prevalent lung cancer type, with a 5-year survival rate for advanced patients below 20%. This study aims to develop a risk model to guide treatment for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback