Abstract: Land-cover classification from multi-source remote sensing imagery requires the effective integration of complementary spatial and spectral information across heterogeneous modalities, which ...
Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of ...
The S.C. High School League on Friday released its new-look classifications that will be in effect for two years starting with fall sports in 2026. Class 5A once again will be one single ...
The Florida High School Athletic Association is reducing its football classes from seven to six, plus a rural division. Defending state champions Chaminade-Madonna and Miami Northwestern are moving up ...
ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
MASE-GC: a multi-omics autoencoder and stacking ensemble framework for gastric cancer classification
Background: Gastric cancer (GC) is one of the most common malignant tumors and remains a leading cause of cancer-related mortality worldwide. Accurate classification of GC is critical for improving ...
THOMASTON, Ga. (WRBL) – The Georgia High School Association has released it’s updated classifications for the 2026-28 school years. Reminder: the classes will run 1A to 7A – there is no more split in ...
Unfortunately you've used all of your gifts this month. Your counter will reset on the first day of next month. Classification assignments for Gwinnett schools announced by the Georgia High School ...
SHENZHEN, China, Oct. 24, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network ...
Tuesday stood as one of the most important days on the Idaho high school sports calendar. Yet it featured no scoreboard, playing field or trophy. Instead, the state’s governing body was set to rule on ...
Image Denoising with Autoencoders in R (University Project) Built a convolutional autoencoder in R using Keras/TensorFlow to perform image denoising on MNIST and CIFAR-10 datasets with varying levels ...
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