US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...

AMD's FidelityFX Super Resolution is here, with the company promising a high-quality upscaling technique that not only looks good, but offers significant improvements to your frame rate. We put this ...

Abstract: Accurately recognizing the spatial distribution of green roofs is crucial for quantitatively assessing their ecological benefits in urban areas. Deep learning (DL) has been applied to this ...

Abstract: Synthetic aperture radar (SAR) plays a vital role in remote sensing applications but suffers from coupled degradation problems, including resolution deterioration, speckle noise, and ...

Abstract: In remote sensing image (RSI) super-resolution (SR), traditional deep learning methods have made remarkable progress. However, these methods struggle to handle the complex mapping between ...

Abstract: The shape and size of the placenta are closely related to fetal development in the second and third trimesters of pregnancy. Accurately segmenting the placental contour in ultrasound images ...

One of the fundamental requirements for the operation of power systems is safety and stability. However, in recent years, natural disasters such as rain, snow, and freezing weather have posed a ...

This work explores an efficient convolutional acceleration framework tailored for edge devices by integrating Depthwise Convolution with the Winograd algorithm. Through RTL-based hardware ...