Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
(Previous attempt: Loudness-Normalization-tauri-app. As the EBU R128 algorithm proved less effective for galgame voice streaming scenarios, I try to directly normalize the loudness of raw galgame ...
Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...
Abstract: Influence maximization (IM) aims to select a seed set of users that maximizes the expected influence spread and is a fundamental problem in social network analysis. The dynamic and complex ...
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