Machine learning for modelling unstructured grid data in computational physics: a review

no code implementations • 13 Feb 2025 • Sibo Cheng, Marc Bocquet, Weiping Ding, Tobias Sebastian Finn, Rui Fu, Jinlong Fu, Yike Guo, Eleda Johnson, Siyi Li, Che Liu, Eric Newton Moro, Jie Pan, Matthew Piggott, Cesar Quilodran, Prakhar Sharma, Kun Wang, Dunhui Xiao, Xiao Xue, Yong Zeng, Mingrui Zhang, Hao Zhou, Kewei Zhu, Rossella Arcucci

This review is intended as a guidebook for computational scientists seeking to apply ML approaches to unstructured grid data in their domains, as well as for ML researchers looking to address challenges in computational physics.

Benchmarking

Impact and influence of modern AI in metadata management

no code implementations • 28 Jan 2025 • Wenli Yang, Rui Fu, Muhammad Bilal Amin, Byeong Kang

Metadata management plays a critical role in data governance, resource discovery, and decision-making in the data-driven era.

Decision Making Management

DeepTrend: A Deep Hierarchical Neural Network for Traffic Flow Prediction

no code implementations • 11 Jul 2017 • Xingyuan Dai, Rui Fu, Yilun Lin, Li Li, Fei-Yue Wang

Detrending based methods decompose original flow series into trend and residual series, in which trend describes the fixed temporal pattern in traffic flow and residual series is used for prediction.

Prediction Time Series +1