Predictive analytics enables you to develop mathematical models to help you better understand the variables driving success. Predictive analytics relies on formulas that compare past successes and ...

Objective Comprehensive data and analyses on cardiovascular research could clarify recent research trends ... We also applied machine learning algorithms to predict the trends over the next 5 years in ...

Phosphatidylethanol reveals substantial underestimation of alcohol intake, especially in those with a history of excessive alcohol consumption. Incorporating phosphatidylethanol into diagnostic ...

Last year, you could hardly escape data in business headlines. Generative AI's rapid development revolutionized the speed with which information can be processed, opening the door for rapid changes ...

Viscount Mining Corp. (TSXV: VML) (OTCQB: VLMGF) is pleased to outline the next stages of exploration at its flagship Silver ...

1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...

The Great Lakes' water supply is threatened by increased demand from industries like data centers and mining, coupled with climate change impacts. Data centers, attracted by tax incentives, consume ...

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Sethupathy, U. (2025) Risk-Aware AI Models for Financial Fraud Detection: Scalable Inference from Big Transactional Data.