Abstract: Deep convolutional neural networks (CNNs) have proven highly effective for visual recognition, where learning a universal representation from activations of convolutional layer plays a ...
Abstract: Saliency detection has achieved outstanding performance by utilizing deep encoder-decoder networks. Many of the existing saliency approaches, however, are unable to effectively process ...
Telemetry systems — such as satellite downlinks, UAV communication, or remote sensing — rely on error-correcting codes to ensure data reliability over noisy channels. Encoder convenc.v Implements rate ...
This repository demonstrates a novel technique for feature encoding in neural network (NN) matrices. Instead of expanding matrix size (by adding channels) or increasing compute via multiplication, ...
Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...
1 Department of Computer Engineering, School of Engineering, The University of Jordan, Amman, Jordan. 2 Department of Data Science and Artificial Intelligence, Faculty of Information Technology, ...
SHENZHEN, China, Nov. 14, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological ...
This is a fully compatible 3GPP (UMTS and LTE) and 3GPP2 cdma2000 (1xEV-DV Release D and 1xEV-DO Release B) error control decoder. The decoder can be used to decode ...
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