Abstract: The evolution of landscapes has opened the opportunity to utilize previously unused land for various purposes, such as agriculture and urban development. This approach promotes sustainable ...
President Donald Trump has introduced a “Presidential Walk of Fame” along a noticeable walkway outside the West Wing of the White House. “The Presidential Walk of Fame has arrived on the West Wing ...
Before you can use these scripts, you will need to generate a 'credentials.json' from your Google Drive user, and then derive a 'tokens.json' that allows the Python scripts to connect long-term.
Abstract: This study proposes an image-text multimodal classification algorithm based on a combination of convolutional neural networks (CNN) and Transformer, aiming to solve the key problems in ...
Arizona's Family Investigates found nearly a dozen examples of hospital patients with no where else to go when they are discharged. In one case, a man died during the hottest time of the year. Some ...
Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...
Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
Christian Olaniran is a digital producer for CBS Baltimore, where he writes stories on diverse topics including politics, arts and culture. With a passion for storytelling and content creation, he ...
TAMPA, Fla. (USF) – The University of South Florida Board of Trustees today voted to advance plans to transform the university’s former 138-acre golf course into a vibrant mixed-use destination.
Abstract: Recently, graph neural networks (GNNs) have attracted great attention and achieved outstanding success in hyperspectral image (HSI) classification. However, most existing methods rely on ...
Abstract: Vision transformers (ViTs) and convolutional neural networks (CNNs) have demonstrated remarkable performance in classifying complicated hyperspectral images (HSIs). However, these models ...
Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep ...
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