Abstract: Biselection (feature and sample selection) enhances the efficiency and accuracy of machine learning models when handling large-scale data. Fuzzy rough sets, an uncertainty mathematical model ...
Hi! I have a question related to the discussion about empty labels in issue #1104 and #2767 In my case, I am working on lung cyst segmentation. Out of a dataset of 220 CT scans, only about 70 contain ...
Copyright 2026 The Associated Press. All Rights Reserved. Copyright 2026 The Associated Press. All Rights Reserved. Rescuers ran oxygen and water to students trapped ...
Right now some algorithms use straight numpy implementation that can be hard to understand due to the lack of coordinate. Some of those may not be able to handle dask arrays either for large datasets.
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Minecraft Large Modern House Tutorial
Follow this step-by-step tutorial to build a large modern house in Minecraft. Featuring clean lines, open layouts, and sleek materials, this design is perfect for players seeking a spacious and ...
Abstract: In this tutorial, the application of large language models (LLMs) in replicating complex remote sensing algorithms is explained, using permanent scatterer interferometric synthetic aperture ...
Create bold and beautiful extra-large knotless box braids with curly ends for a fun, voluminous look. Ukraine's F-16 took down Russian fighter jet in "historic first": Report Over a quarter of ...
Secure and regulatory-compliant document exchange is the basis of multiple sectors, from finance to healthcare. Banks and their clients need to exchange official documents between each other to manage ...
Opinions expressed by Digital Journal contributors are their own. Reddy Srikanth Madhuranthakam, Lead Software Engineer specializing in AI DevSecOps at an American bank holding company, has made ...
1 Shangwan Coal Mine, Ejin Horo Banner, Ordos, China 2 CCTEG Xi’an Research Institute Co. Ltd., Xi’an, China This study introduces an XGBoost-MICE (Multiple Imputation by Chained Equations) method for ...
ABSTRACT: Cybersecurity challenges in consumer banking websites have surged, driven by increasingly sophisticated threats such as fraud, phishing, and Distributed Denial of Service (DDoS) attacks.
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