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AI-powered ECG analysis offers promising path for early detection of chronic obstructive pulmonary disease, says Mount Sinai researchers

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
IEEE

An Attention-Based Convolutional Neural Network With Spatial Transformer Module for Automated Optical Inspection of Small Objects

Abstract: In the manufacturing industry, automated optical inspection (AOI) systems play a crucial role in accurate and efficient inspection. Recently, convolutional neural networks (CNNs) have become ...
IEEE

Convolutional Neural Networks for Direction of Arrival Estimation Compared to Classical Estimators and Bounds

Abstract: Recently, there has been a proliferation of applied machine learning (ML) research, including the use of convolutional neural networks (CNNs) for direction of arrival (DoA) estimation. With ...