IEEE

Enhancing ACPF Analysis: Integrating Newton-Raphson Method With Gradient Descent and Computational Graphs

Abstract: This paper presents a new method for enhancing Alternating Current Power Flow (ACPF) analysis. The method integrates the Newton-Raphson (NR) method with Enhanced-Gradient Descent (GD) and ...
BMJ

Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review

Background Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care. In cardiology, ML plays a crucial ...
IEEE

Evaluation of Gradient Boosting Algorithms on Balanced Home Credit Default Risk

Abstract: Default risk divides customers into two groups-those who pay on time (non-defaulters) and those who don’t (defaulters). Recently, banks and data scientists, have employed different machine ...
Frontiers

Data-driven AI approaches for screening high-efficiency, stable, and lead-free perovskite photovoltaic materials: a review

1 Xi’an Key Laboratory of Advanced Photo-Electronics Materials and Energy Conversion Device, School of Electronic Information, Xijing University, Xi’an, China 2 Beijing Chaoyang Foreign Language ...