Frontiers

Machine Learning for Hydrological Modeling in Water Resource Management in Data-Scarce Regions

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
Techopedia

Casino Loyalty Programs: How Player Tracking Algorithms Score You

Discover how casino loyalty programs really work, how player tracking algorithms calculate your ADT and theoretical value, and why comps aren’t based on losses.
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
IEEE

Machine Learning-Based Algorithm for One-Dimensional Wave Spectrum Retrieval from SAR Imagery as Passing Oceanic Eddy

The inversion of the one-dimensional wave spectrum from dual-polarized synthetic aperture radar (SAR) data is performed using machine learning methods, namely Random Forest (RF), eXtreme Gradient ...
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...