OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

Macy Meyer is a North Carolina native who graduated from UNC-Chapel Hill with a BA in English and a second BA in Journalism. Macy is a Writer on the CNET How-To team, covering a variety of topics, ...

As students return to school this fall, they will step into a landscape transformed by AI. Entering her first year of teaching as a graduate assistant at Bowling Green State University, Sydney Koeplin ...

Entering her first year of teaching as a graduate assistant at Bowling Green State University, Sydney Koeplin had more on her mind than how to relate to her students. She was worried about how to deal ...

Abstract: Recognition of familiar music on brainwaves through machine learning (ML) can be instrumental in innovative therapeutic devices that improve memory and communication in dementia patients. In ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Alright, so you’re ready to delete your YouTube channel. Maybe you’re cleaning up old accounts, or maybe you just don’t need it anymore. Whatever the reason, deleting a YouTube channel is a pretty ...

Your washing machine is probably one of the most-used appliances in your home. You toss in your dirty laundry, add some detergent and fabric softener, press start, and wait for clean clothes. Simple, ...

Abstract: Microarchitectural side-channel attacks pose a significant threat to modern computing architectures. This paper presents a machine learning-based methodology for detecting these attacks ...

Doctorado en Biotecnología Traslacional, Facultad de Ciencias Agrarias y Forestales, Universidad Católica del Maule, Talca 3480094, Chile Laboratorio de Bioinformática y Química Computacional, ...

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