Deep Learning with Yacine on MSN
Sleep Stage Classification with Python: EEG, Scikit-Learn & MNE
Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like ...
Sports video classification has become vital for automated sports analytics, highlight generation, and content recommendation. Traditional approaches have relied on handcrafted features or ...
Abstract: Recent improvements in Convolution Neural Networks (CNN) have demonstrated extraordinary performance in solving real-world problems. However, the performance of CNN depends purely on its ...
The collaborative infrastructure innovation delivers nearly half a million Trainium2 chips in record time, with Anthropic scaling to more than one million chips by the end of 2025. Project Rainier, ...
Abstract: In this paper, a hybrid deep learning model based on Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks are introduced for the automated detection of lung cancer ...
Abstract: The imaging technique known as computed tomography (CT) is often considered to be the most reliable way for non-invasive diagnosis. Through the use of three-dimensional (3D) computed ...
Abstract: Graph convolutional networks (GCNs) have emerged as a prominent research focus for hyperspectral image classification (HSIC). However, existing GCN-based HSIC methods still face the ...
Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...
Abstract: Hyperspectral images (HSIs) are pivotal in remote sensing, providing rich spectral and spatial information for applications such as agriculture, environmental monitoring, and mineral ...
Abstract: When taking images against strong light sources, the resulting images often contain heterogeneous flare artifacts. These artifacts can significantly affect image visual quality and ...
Designed with Amazon’s front-line employees in mind, these innovations reduce repetitive tasks, improve safety, and boost productivity—while speeding up delivery. Every time we innovate across ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results