Baltimore jail’s crumbling conditions led to inmate transfer, report says

Maryland’s Department of Corrections released a report Wednesday revealing extensive structural and safety issues at the ...
IEEE

Enhancing Defect Classification in Solar Panels With Electroluminescence Imaging and Advanced Machine Learning Strategies

Abstract: Electroluminescence (EL) imaging is the most widely used diagnostic technique for identifying flaws at every stage of the production, installation, and operation of solar modules. This ...
Bulletin of the Atomic Scientists

Division begets division in the age of algorithmic classification

Social media and algorithmic recommendations aren’t just reflecting our divisions — they’re driving them. According to a poll conducted by Siena University and The New York Times, “most voters think ...
IEEE

Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning

Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...
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

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Taste of Country

Fans Pick the Best (and Worst) of Morgan Wallen’s New ‘I’m the Problem’ Album

Reaction to Morgan Wallen's new I'm the Problem album came immediately upon its release, with a few fans already declaring it the album of the summer — or even the album of the year. In other cases, ...
Forbes

One-Size-Fits-All Data Classification Doesn’t Fit HR's Needs

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...
C&EN

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.
Scientific Research Publishing

World Health Organization (2016) International Classification of Diseases and Related Health Problems, 10th Revision.

ABSTRACT: Mood and anxiety disorders are relatively common during pregnancy and postpartum. If these go unrecognized and untreated, a host of adverse outcomes can occur. Herein, we propose an approach ...