2 天前 - … deep neural network (DNN), conventional neural network (CNN), Extra Tree, and
XGBoost (XGB) models. The performance … , whereas deep learning, such as deep neural …

2 天前 - … Recently, deep learning techniques have made … Based on the above analysis, we
propose SKGC, a universal … show that SKGC achieves impressive performance with the best …

2 天前 - Incorporation of natural fibers with Fiber Reinforced Polymers (FRPs) is a promising
avenue for sustainable and high-performance composite materials. The fibers, derived from …

2 天前 - … terms of power efficiency and real-time performance. This thesis focuses on the
detailed … sharing, are employed to maximize performance and minimize resource overhead. The …

2 天前 - … learning. We discuss several new enhancements of our ResNet-based deep learning
code, … In this section, we will examine the performance of AresGW on gravitational-wave …

2 天前 - … While deep learning-based scene segmentation is … information to gain a deeper
understanding of the spectral … deteriorate the segmentation performance with a drop of the DSC …

2 天前 - … improve the performance of the deep learning algorithms. … The control parameters
of the deep learning algorithms … to further improve their performance. The resulting models …

2 天前 - … This research aims to alleviate this issue through implementing deep learning
metamodeling techniques, the theory of which will be outlined in the next section. …

2 天前 - … Deep learning has emerged as a promising tool for the automated analysis of
breast … of interest significantly contributes to enhancing performance. This study addresses a …

2 天前 - … value in USs; immune infiltration analysis revealed the prognositic value of myeloid
… ; the deep learning model named MMN-MIL showed satisfactory performance in predicting …