Abstract: Privacy-preserving k-nearest neighbor (PPkNN) classification for multiple clouds enables categorizing queried data into a class in keeping with data privacy ...
Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, coding process, and practical examples to help you understand how KNN works ...
Helen Branswell covers issues broadly related to infectious diseases, including outbreaks, preparedness, research, and vaccine development. Follow her on Mastodon and Bluesky. You can reach Helen on ...
In this video I demonstrate each step while painting ghost flames on a panel. I also share how to differentiate overlapping flame licks and how to add drop shadowing, two techniques that are rarely ...
Remote sensing imagery is dense with objects and contextual visual information. There is a recent trend to combine paired satellite images and text captions for pretraining performant encoders for ...
ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...
Gray Reid has spent most of his career in basketball and sports media. He began as a student manager for the Nevada men’s basketball team, then went on to coach overseas in China and later joined the ...
Abstract: With the evolution of artificial intelligence and cloud computing, data owners are increasingly motivated to outsource their data and machine learning services to the cloud. As a practical ...
Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach
Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
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