Self-evolving edge AI enables real-time learning and forecasting in small devices
Overview of the proposed method: Real-time modeling and forecasting within compact edge devices. Credit: Proceedings of the 31st ACM SIGKDD...
Forecasting
Engineering Supply Chain Resilience: Jaymalya Deb on Machine Learning and Forecasting Innovation
Jaymalya (“Jay”) Deb is currently the Division Materials Manager in the Industrial Process Filtration Division at Parker Hannifin, a Fortune...
Climate-adaptive energy forecasting in green buildings via attention-enhanced Seq2Seq transfer learning
Problem descriptionGreen building energy consumption prediction requires understanding the complex mathematical relationships between building systems, environmental conditions, and temporal dynamics....
Specialized LLMs can outperform traditional methods in forecasting postoperative risks
Millions of Americans undergo surgery each year. After surgery, preventing complications like pneumonia, blood clots and infections can be the...
A comparative study on different machine learning approaches with periodic items for the forecasting of GPS satellites clock bias
Data descriptionThe study utilized GPS data collected between January 1 and January 10, 2024, with a 5-minute sampling interval and...
A comparative analysis of classical and machine learning methods for forecasting TB/HIV co-infection
This study aimed to explore prediction models for the incidence of TB/HIV coinfection, estimating the epidemic trend of cases from...
