The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
AZoRobotics on MSN
Combining AI and X-ray physics to overcome tomography data gaps
With PFITRE, Brookhaven scientists achieve breakthrough 3D imaging in nanoscale X-ray tomography, combining AI and physics ...
X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...
The latest trends in software development from the Computer Weekly Application Developer Network. Zen and the Art of Motorcycle Maintenance was Robert Pirsig’s seminal book that looked into the values ...
This paper presents the design and FPGA implementation of a high-throughput BCH (n,k) encoder and decoder using a fully pipelined architecture. Unlike conventional designs based on finite state ...
Add a description, image, and links to the encoder-decoder-architecture topic page so that developers can more easily learn about it.
Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...
Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
First of all, I'd like to commend the authors on the excellent work presented in SSS! I have a quick question regarding the model architecture, specifically related to the frozen image encoder and ...
Abstract: This study presents a deep learning (DL)-based approach to the seismic velocity inversion problem, focusing on both noisy and noiseless training datasets of varying sizes. Our seismic ...
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