MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...
Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
After President Donald Trump on Tuesday suggested cities like Chicago should be used as "training grounds for our military," Gov. JB Pritzker said the 25th Amendment should be invoked to remove the ...
In the wake of Charlie Kirk’s killing, the Republican policy apparatus went immediately to work. The Heritage Foundation, which published Project 2025, and its spinoff, the Oversight Project, issued a ...
This article originally appeared on PolitiFact. For years, Tylenol has generally been considered safe for treating pain and fever — even during pregnancy, when doctors discourage patients from using ...
The Pentagon’s internal watchdog has completed a monthslong review of Secretary of Defense Pete Hegseth’s use of Signal to discuss sensitive military operations and has submitted its findings to ...
Snapchat is launching a new Lens that lets users create and edit images using a text-to-image AI generator, the company told TechCrunch exclusively. The new “Imagine Lens” is available to Snapchat+ ...
Ukraine has said it destroyed two bridges inside Russia by using a couple of cheap drones to hit stashes of mines and ammunition hidden there by Russian forces. The Ukrainian military said the two ...
Abstract: To obtain light ensemble model through clearly explained effective ensemble member selection and finding data representation in various valuable forms are major challenges in medical image ...
1 School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China 2 Department of Mechanical and Electrical Engineering, Henan Vocational College of ...
• Architecture: 4-layer CNN (convolutional layers with 32, 64, 128, and 256 filters) → Max pooling → Dropout → Fully connected layers. • Training: Dataset: MNIST (28×28 grayscale digits).
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