Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...

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Abstract: The timely detection of malicious traffic and the prevention of DDoS attacks is an important task in today's informational environment. There was considered a theoretical part of the ...

The year is 1995, and the Kingdom of Bhutan is about to experiment with something that has never existed in the country: its very first traffic light. But it would be up for just 24 hours before being ...

Traffic lights are an integral part of maintaining order among vehicles, cyclists, and pedestrians. And while an agreement has been in place since the late 1960s standardizing intersection lights ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Introduction: Peripheral Artery Disease (PAD) is a progressive vascular disorder impairing mobility, raising fall risk, and reducing quality of life. Early detection is key to preventing amputations ...

Institute for Physical Chemistry, Department of Chemistry, Faculty of Mathematics and Natural Sciences, University of Cologne, Greinstraße 4-6, 50939 Köln, Germany ...

If you ride along a bike path in the U.K. city of Leeds and approach a street, the traffic light can automatically turn green for you—or stay green if you’re already midway across. Traditionally, most ...