Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...

Scientists at the U.S. Department of Energy’s Oak Ridge National Laboratory have designed a ...

With Seeweb’s Serverless GPU, you get immediate and scalable access to computing power to accelerate AI innovation ...

1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. Language identification is a fundamental ...

1 School of Artificial Intelligence, China University of Mining and Technology-Beijing, Beijing, China 2 School of Electronics, Peking University, Beijing, China Practically, GNSS receivers obtain ...

This paper presents ConvAttentionNet, a lightweight and high performing deep learning model developed for accurate and efficient classification of Polarimetric Synthetic Aperture Radar (PolSAR) ...

The growing demand for energy-efficient Wireless Sensor Networks (WSNs) in applications such as IoT, environmental monitoring, and smart cities has sparked exhaustive research into practical solutions ...

Abstract: Transformer-based segmentation methods exhibit considerable potential in medical image analysis. However, their improved performance often comes with increased computational complexity, ...

The UK joined the oil price cap cut on Friday as Europeans shifted from a united G7 line on sanctions against Russia. British ministers announced a reduction in the crude price cap from $60 to $47.60 ...