Reported accuracies were 86% (Random Forest) and 96% (convolutional neural networks), positioning retinal imaging as a candidate scalable tool for underserved populations. AI-powered polarized-light ...
However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
In Sanas.AI Inc. v. Krisp Technologies, Inc., Chief Judge Richard Seeborg of the U.S. District Court for the Northern District of California ...
Deep Feature Extraction Method for Automatic Classification and Processing of Accounting Information
Abstract: In the context of advancing intelligent accounting systems within the broader field of computational methods and data processing, this study focuses on overcoming critical limitations ...
As the core equipment in industrial production, rotating machinery bearings play a critical role. However, traditional feature extraction algorithms for vibration signals are susceptible to noise ...
Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...
ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
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