Abstract: Deep neural networks (DNNs) have achieved significant advancements in hyperspectral image (HSI) classification, enabling critical applications in environmental monitoring, medical imaging, ...
Abstract: Spine CT image reconstruction and lesion classification are crucial in diagnosing spine disorders, supporting treatment through automated lesion detection. Leveraging advancements in machine ...
Abstract: In recent years, deep learning approaches that integrate convolutional neural networks (CNNs) with Transformer architectures have greatly enhanced the accuracy of hyperspectral image (HSI) ...
The Department of Justice on Saturday sent Congress a list of “politically exposed persons” in the millions of files released related to its probes into convicted sex offender Jeffrey Epstein. The six ...
Chinese cars could be at an American dealership sooner than you think, and that’s good news for US consumers. Chinese car companies make more vehicles than anyone else on Earth and export more as well ...
Abstract: In recent years, unsupervised domain adaptation (UDA) based on deep learning has been widely applied to address the spectral shift problem in cross-scene hyperspectral image classification ...
Abstract: Identifying medicinal plants is crucial in herbal medicine, pharmaceutical research, and plant taxonomy. Conventional manual classification techniques tend to be errorprone and ...
WAYNE COUNTY, Mich. – Following an extensive five-hour debate, the Van Buren Township Planning Commission granted preliminary site approval for a major data center project in a 5-2 vote. The facility ...
While White House border czar Tom Homan announced Thursday morning the federal immigration surge in Minnesota would be ending, state officials were facing tough questions about the circumstances that ...
Abstract: A research project focuses on creating automated trash detection and classification through convolutional neural networks (CNNs) with an objective to improve waste management systems. The ...
Abstract: Accurate classification of otoscopic ear images is crucial for early diagnosis of ear pathologies such as Chronic Otitis Media, Earwax Plug, and Myringosclerosis. In this study, we propose a ...