Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Abstract: This study addresses the lack of comprehensive evaluations of feature scaling by systematically assessing 12 techniques, including less common methods such as VAST and Pareto, in 14 machine ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...
5. Modelling The model is built using a Machine Learning algorithm, namely Linear Regression. The model is trained using training data to learn the linear relationship between variable X (Age, Station ...
Introduction: The lack of objective biomarkers and mechanistic understanding of adolescent Major Depressive Disorder (MDD) impedes early diagnosis and targeted intervention. Methods: To elucidate ...
This project addresses the problem of predicting water levels in fish ponds - a critical factor in aquaculture management. Using Machine Learning, we can: Predict water levels based on environmental ...
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