Hypervelocity stars have, since the 1920s, been an important tool that allows astronomers to study the properties of the ...

Cassidy was an updates editor whose main responsibility is to write and edit articles on a range of home improvement topics. Her passion for lifestyle writing began with her editorial apprenticeship ...

Long-distance can be tough on any couple, but a gift can help bridge the gap, whether it's for a special occasion or simply a reminder that you're thinking of your significant other. We've rounded up ...

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Abstract: Existing deep learning-based hyperspectral anomaly detection methods often overlook frequency domain features, hindering the ability to effectively distinguish between background and ...

Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...

Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...

Abstract: Anomaly detection techniques are very crucial in multiple business applications, such as cyber security, manufacturing and finance. However, developing anomaly detection methods for ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Abstract Recognizing out-of-distribution (OOD) samples is essential for deploying robust machine learning systems in the open-world environments. Conventional OOD detection approaches rely on feature ...