Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Low-dose Computed Tomography (CT) imaging minimizes radiation exposure but often results in degraded image quality, making diagnosis challenging. Image Quality Assessment (IQA) is a process of ...
The construction and property development industry has always relied heavily on visual communication. From initial concept presentations to final marketing materials, the ability to convey ...
This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...
Interactive image editing and synthetic image analysis in the gradient domain, including Poisson reconstruction, custom gradient drawing, and edge-based anomaly visualization.
TITLE: How Much Will It Cost to Survive Climate Change? Detailed Estimates and AI Imagery for Constructing Climate Change Communities in the Virginia Highlands ...
A transmission electron microscopy (TEM) image (top left) and the corresponding domain structure (bottom left) before applying an AC electric field. Top right and right bottom are TEM image and the ...
1 School of Statistics, Renmin University of China, Beijing, China 2 School of Computer Science and Technology, Xinjiang University, Urumqi, China The goal of multi-focus image fusion is to merge near ...
Abstract: Botnets are increasingly being used by hackers to conduct attacks on critical network infrastructure. As botnets evolve with advanced resilient mechanisms and propagation techniques, it is ...
New software tool enables interactive, adjustable and non-planar cutaways into volumes generated from optical imaging data. American Institute of Physics advances, promotes and serves the physical ...
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