Simple statistical method predicts landslide risk more accurately than classic method

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
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 ...
Endovascular Today

Pulmonary Embolism Risk Stratification: Progress, Gaps, and the Path Forward

Pulmonary embolism (PE) is a common and potentially life-threatening condition with presentations ranging from mild symptoms to circulatory collapse. Early and accurate risk stratification is ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
Frontiers

A lifestyle-based prediction model for obesity in Chinese adolescent students

Introduction: Adolescent obesity has emerged as a critical global public health challenge, necessitating effective tools for early identification and intervention. This study aimed to identify ...
The Motley Fool

This Recession-Forecasting Algorithm Hasn't Been Wrong in 65 Years -- and It Has an Ominous Message for Wall Street

This has been a roller coaster year for the S&P 500, Nasdaq Composite, and Dow Jones Industrial Average, with all three enduring a mini-crash and a rip-roaring rally to new highs. A new ...
IEEE

A Probabilistic Method for Hierarchical Multisubject Classification of Documents based on Multilingual Subject Term Vocabularies

Abstract: Hierarchical Multilabel Classification (HMC) is a challenging task in information retrieval, especially within scientific textbooks, where the objective is to allocate multiple labels ...
IEEE

Probabilistic Flight Envelope Based Joint Tracking and Classification Using Kinematic Measurements

Abstract: For direct classification using kinematic measurements, existing flight envelope (FE) based approaches may be insufficient. This is because the FE primarily provides region information of ...
Frontiers

Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm

1 School of Mechanical Engineering, Vellore Institute of Technology, Chennai, India 2 Centre for e-Automation Technologies, Vellore Institute of Technology, Chennai, India Introduction: Friction Stir ...