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 ...
IEEE

3D CT Liver Images Lesion Extraction and Classification for Using 3D-CNN with GLRLM

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 ...
Yahoo

CNN’s Jake Tapper Calls BS On Trump Claim About Anti-Tariff Ad Using Reagan Speech

CNN anchor Jake Tapper called BS on President Donald Trump over his claims about an anti-tariff ad featuring a radio address by now-deceased former President Ronald Reagan. Trump has been complaining ...
Hosted on MSN

Kim Jong-un Hosts Socialist Leaders to Project 'Normal State' Image

North Korean leader Kim Jong-un stated during a speech at the 80th-anniversary commemoration event for the founding of the Workers’ Party that, as a “loyal member of the socialist cause,” the ...
IEEE

Cross-Domain Hyperspectral Image Classification via Mamba–CNN and Knowledge Distillation

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
IEEE

A Lightweight Spatial–Spectral Deformable CNN for UAV Hyperspectral Image Classification

Abstract: In recent years, uncrewed aerial vehicle (UAV) technology has shown great potential for application in hyperspectral image (HSI) classification tasks due to its advantages of flexible ...
IEEE

Hyperspectral Image Classification Based on Subgraph-Dependent Neural Network

Abstract: Hyperspectral image classification methods based on subgraph neural networks (SGNNs) are rarely explored, and its advantage is that it can alleviate the neighbor explosion problem. After ...
IEEE

Cloud-Type Classification Using Multimodal Integration Transformer Based on Cloud Images and Millimeter-Wave Cloud Radar Observations

Abstract: The existing methods fail to simultaneously utilize the appearance information and the internal structure of clouds for cloud-type classification, resulting in incomplete cloud ...
IEEE

BAN: A Boundary-Aware Network Based on KAN for Robust Hyperspectral Image Classification Against Adversarial Attacks

Abstract: Deep neural networks (DNNs) have achieved significant advancements in hyperspectral image (HSI) classification, enabling critical applications in environmental monitoring, medical imaging, ...
IEEE

Multitree Genetic Programming for Multimodal Learning in Multimodal Medical Image Classification

Abstract: As medical images from multiple modalities provide complementary diagnostic information, multimodal medical image classification (MMIC) leverages their integration to enhance disease ...