Abstract: Very limited training samples pose significant challenges for hyperspectral image (HSI) classification. To address this issue, small-sample learning methods based on classical machine ...
Framework’s main claim to fame is its commitment to modular, upgradeable, repairable laptops. The jury’s still out on early 2024’s Framework Laptop 16 and mid-2025’s Framework Laptop 12, neither of ...
Enterprise software is evolving rapidly. AI is reshaping SaaS categories and forcing both vendors and buyers to adapt. It reminds me of working in R&D in the U.K. automotive industry in the 1980s, ...
One former Air Force leader anticipates that there are a plethora of additional ways that artificial intelligence (AI) and large language models (LLMs) can assist crews in accomplishing their tasks ...
To complement its flagship DIY 13-inch laptop, Framework now has the Framework Laptop 12, a compact 2-in-1 system that shares its sibling’s signature modular design. You can order this as a prebuilt ...
A clear and consistent framework for the detection and classification of all cyclones — ranging from hurricanes and winter storms to monsoon-related events — is beneficial for the scientific research ...
Abstract: Cervical cell classification is fundamental for early cervical cancer detection. Deep convolutional neural networks (CNNs) have made great progress in enhancing the performance of cervical ...
Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...
Hyperspectral image classification in remote sensing often encounters challenges due to limited annotated data. Semi-supervised learning methods present a promising solution. However, their ...
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