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Nonintrusive load monitoring (NILM) is a relevant tool for improving energy consumption habits, contributing to energy conservation and distribution system planning. In recent years, high-frequency ...
A robust approach for multi-type classification of brain tumor using deep feature fusion - Frontiers
Figure 2 illustrates the foundational architecture of ResNet101. The feature extraction layer of the ResNet101 model produces an output with dimensions of (2048, 7, 7). Subsequently, a 1 × 1 ...
The DL model has an inherent advantage when it comes to SAR image processing jobs because of its deep feature extraction structure and strong feature extraction capability. Therefore, this research ...
We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses ...
Object Input: The process begins with an input image or video of waste, which must be in JPEG, JPG, PNG, or MP4 format. Inception Model: This image is then processed by the Inception Model, which is a ...
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