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Abstract: In this paper, an improved classification method NCEEP based on EP is proposed, and this algorithm is improved on the basis of the original CEEP ...
Abstract²In this paper, an improved classification method. NCEEP based on EP is proposed, and this algorithm is improved on the basis of the original CEEP ...
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Sep 9, 2020 · Our idea was based on transforming training data using the statistical properties of the children's personal exposure level to PM2.5, ...
Apr 5, 2022 · This study demonstrates how supervised machine learning procedures help us investigate and examine massive data to discover the hidden patterns ...
Sep 15, 2023 · The proposed study aims to resolve these issues by implementing three different object detection algorithms—You Only Look Once (YOLO), Single ...
A classification algorithm is a technique used to assign objects or data points to specific categories or classes based on their features or characteristics. It ...
It adds the correlation relationship between features to the similarity calculation, calculates vulnerability similarity from multiple dimensions, and improves ...
The de-fect classification algorithm is improved by incorporating proper image registration and thresholding techniques to solve the alignment and uneven ...
Sep 21, 2023 · The results authenticate the improved performance of the refined Poolformer model in endoscopic smoke image classification tasks. This ...
Oct 31, 2023 · We present a new approach to segment and classify bacterial spore layers from Transmission Electron Microscopy (TEM) images using a hybrid ...