When Fei-Fei Li arrived in Princeton in January 2007 as an assistant professor, she was assigned an office on the second floor of the computer science building. Her neighbor was Christiane Fellbaum.
Researchers evaluated whether a deep learning model could distinguish between autoimmune neuroinflammatory disorders based on retinal thickness.
Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical code examples for real-world applicati ...
Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...
White Blood Cell Classification is a deep learning project built with Python, TensorFlow, and Keras that classifies five types of WBCs from microscopic images using a CNN model. With advanced image ...
Abstract: Currently, few-shot learning (FSL) is widely used in image classification hyperspectral image classification (HSIC), owing to its exceptional proficiency in achieving good performance with ...
CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.analchem.5c00825. Data acquisition process and generation of a ...
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