A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Freshwater ecosystems worldwide have been suffering from declining oxygen levels—a trend known as deoxygenation—that ...

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

XRP price continues to decline, and Finbold AI Agent's XRP price prediction suggests further downside by the end of the month ...

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 ...

Earlier this year when a UK Treasury Committee released a report warning that regulators’ complacency on AI in financial ...

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Abstract: The fluctuating characteristics of stock prices indicate high stock market volatility. Therefore, a method is needed that can overcome these problems by providing more accurate predictions ...

Abstract: This paper introduces a hybrid machine learning-based framework that combines the Random Forest and the XGBoost machine learning algorithms for effective prediction of cyber-attacks in ...

Machine Learning has revolutionized the way organizations analyze data, automate decisions, and predict future outcomes. Among the many algorithms available, Support Vector Machines (SVM) and XGBoost ...

aDepartment of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany bUniversity Department of Anesthesiology and Intensive Care Medicine, ...