The actuarial methodology powering insurance risk models is advancing faster than most carriers realize. Here is what is ...

FOOD inflammation scores may offer a clinically useful window into stroke risk, according to a large analysis of 19,681 ...

In the modern age where most assets and valuable information are digitalized, phishing scams are an important way criminals steal money, much higher than “normal” physical robbery & extortion, with up ...

Bio: Taylor is a senior in the Honors program at Fordham University majoring in Computer Science and minoring in Cybersecurity and French. She is also in the accelerated program for her MS in Data ...

The genetic architecture of a trait plays a vital role in the predictive ability of genomic models. While classical methods such as genomic best linear unbiased prediction (GBLUP) remain widely used ...

A Miami-based influencer and Twitch streamer says she dropped $3,000 on a wellness pouch vending machine for her house, and has no regrets about it. Emily Rinaudo, 29, had the Lucy-brand dispenser ...

ABSTRACT: Accurate prediction of survey response rates is essential for optimizing survey design and ensuring high-quality data collection. Traditional methods often struggle to capture the complexity ...

Customs revenue represents a major source of funding for most governments. Accordingly, customs administrations worldwide have promoted advanced analytics techniques to detect fraud and enhance ...

Boosting algorithms have become the backbone of modern machine-learning pipelines, especially for structured/tabular data. From Kaggle competitions to real-world production systems, boosting ...

As dengue cases surge once again in Delhi, Uttar Pradesh, Kerala, Karnataka, and West Bengal, the familiar scenes return: overcrowded hospitals, under-equipped fever clinics, frantic platelet checks, ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

Abstract: Deep learning methods have been widely employed to diagnose faults in power converters. However, it is challenging to diagnose multiple faults in two-stage charging power modules. Besides, ...