Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

FedCare delivers the first visual pipeline that pinpoints, classifies and mitigates FL failures in real time, cutting convergence rounds and boosting accuracy across tested attacks without sacrificing ...

Bittensor’s subnet architecture is a highly compatible place to deploy collective intelligence. Therefore, mining on revenue generating Bittensor subnets is a natural fit for the Crunch community.