A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
Repository files navigation Mushroom Image Recognition application An AI-powered web application that combines deep learning image recognition with geographical and seasonal data to provide informed ...
Some computer vision programs have been thrown off by tricks such as manipulating the pixels in an image. MODIFIED FROM ISTOCK.COM / EYEEM MOBILE GMBH Anyone with a computer has been asked to “select ...
Abstract: Synthetic aperture radar (SAR) image target detection and recognition (SAR-TDR) tasks have become research hot spots in the remote sensing application. These targets include ships, vehicles, ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
Abstract: Traditional image recognition methods for power equipment face challenges such as difficulty in distinguishing target features from background features and insufficient feature extraction ...
van Vliet and colleagues present results of a study correlating internal states of a convolutional neural network trained on visual word stimuli with evoked MEG potentials during reading. In this ...
Early and accurate diagnosis of pneumonia is crucial to improve cure rates and reduce mortality. Traditional chest X-ray analysis relies on physician experience, which can lead to subjectivity and ...
Introduction: Deep learning has significantly advanced medical image analysis, enabling precise feature extraction and pattern recognition. However, its application in computational material science ...
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