Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
Abstract: Flood prediction as we known is a important role in reducing the impacts of effective disasters . This paper says that a linear regression-based model is designed for forecasting flood ...
Abstract: Ultrasound computed tomography (USCT) based on full waveform inversion (FWI) has the capability to reconstruct high-resolution images. However, it often encounters challenges such as ...
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