As compliance pressure grows, enterprises are shifting away from fragmented safety processes toward centralized digital ...
Abstract: Human Activity Recognition (HAR) refers to the detection of people’s activities during daily life using various types of sensors. Machine learning (ML) has contributed to recording many ...
Abstract: This paper introduces a novel Large Language Model (LLM)-based system designed to enhance learning effect through Socratic inquiry, thereby fostering deep understanding and longterm ...
What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.
BRASILIA, Dec 15 (Reuters) - Brazil's economy started the fourth quarter on a weaker footing, central bank data showed on Monday, as analysts closely monitor activity indicators to calibrate their ...
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