IEEE

Non-Iterative Coordination of Interconnected Power Grids via Dimension-Decomposition-Based Flexibility Aggregation

Abstract: The bulk power grid is divided into regional grids interconnected with multiple tie-lines for efficient operation. Since interconnected power grids are operated by different control centers, ...
IEEE

Private Sample Alignment for Vertical Federated Learning: An Efficient and Reliable Realization

Abstract: Sample alignment is recognized as a vital component of vertical federated learning, which facilitates the integration of differential samples and high-quality model training. In this trend, ...
Frontiers

INTegRated InterveNtion of pSychogerIatric Care: real-world application and implementation of an advanced integrated telehealth system incorporating machine learning

Introduction: Older individuals who suffer from mental disorders may encounter accessibility difficulties related to factors such as remoteness and socioeconomic status. The present analysis provides ...
Frontiers

Drug shortage in South Korea: machine learning-based prediction models and analysis of duration and causal factors

1 College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea 2 College of Pharmacy, Sookmyung Women’s University, Seoul, Republic of Korea Background: Drug shortages remain a critical ...
GitHub

Machine Learning for Trading - Second Edition

The first part provides a framework for the development of trading strategies driven by machine learning (ML). It focuses on the data that power the ML algorithms and strategies discussed in this book ...