Abstract: This paper explores the optimization of power control in both cellular (CL) and cell-free (CF) massive MIMO (mMIMO) systems using a hybrid approach combining support vector machine (SVM) and ...
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Objectives To compare the prediction effects of six models based on machine learning theories, which can provide a methodological reference for predicting the risk of type 2 diabetes mellitus (T2DM).
Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach
Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
Traditional vs. Our language-based trajectory prediction, LMTraj. We provide scripts to evaluate our LMTraj-ZERO model for all datasets simultaneously. Two scripts ...
This repository contains the source code for the paper titled "Eraser: Eliminating Performance Regression on Learned Query Optimizer." Eraser is a plugin deployed on top of learned query optimizers ...
1 Department of Radiation Oncology, Affiliated Hospital of Qingdao University, Qingdao, China 2 Department of Oncology, Jinan Third People's Hospital, Jinan, China Purpose: We investigated a ...
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