RESEARCH ON THE OPTIMIZATION OF MULTI-CLASS LAND COVER CLASSIFICATION USING DEEP LEARNING WITH MULTISPECTRAL IMAGES

Research on the Optimization of Multi-Class Land Cover Classification Using Deep Learning with Multispectral Images

With the advancement of artificial intelligence, deep learning has become instrumental in land cover classification.While there has been a notable emphasis on refining model Bagel structures to improve classification accuracy, it is imperative to also emphasize the pivotal role of data-driven optimization techniques.This paper presents an in-depth

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A totally extraperitoneal approach for endoscopic resection of a congenital prepubic sinus through the pubic symphysis

Abstract Background A congenital prepubic sinus (CPS) is a rare congenital anomaly in which a duct remnant extends from the skin opening near the pubic symphysis to various parts and the lesions are mostly located in the preperitoneal space.The totally extraperitoneal (TEP) approach is an operational method that provides a good field of view for th

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Feature Point Tracking Method for Visual SLAM Based on Multi-Condition Constraints in Light Changing Environment

B12 Vitamins / Methylcobalamine In scenes where there are lighting changes, localization may fail for visual SLAM due to feature point tracking failure.Thus, a feature point tracking method based on multi-condition constraints is proposed for visual SLAM.The proposed method tracks the feature points of optical flow from aspects such as the overall

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Defeating Hardware Prefetchers in Flush+Reload Side-Channel Attack

Hardware prefetching can seriously interfere with Flush+Reload cache side channel attack.This interference is not taken into consideration in previous Flush+Reload attacks.In this paper, an improved Flush+Reload is provided which minimizes the Toothpaste impact of hardware prefetchers.Specifically, prefetching is analyzed based on reverse engineeri

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