AZoRobotics

Detecting IoT Malware in EV Chargers with Deep Learning

A new study presents a deep learning approach for IoT malware detection in EV charging stations, addressing key limitations ...
GitHub

[20260306] Remote Sensing Image Classification Using Deep Ensemble Learning

TL;DR 提出CNN与ViT融合模型并通过四模型深度集成提升遥感图像分类精度。 摘要 遥感影像在许多应用中发挥着关键作用，需要精确的计算机分类技术。可靠的分类对于将原始影像转换为结构化和可用信息至关重要。虽然卷积神经网络（CNNs）主要用于图像分类 ...
Frontiers

Traditional machine learning in biomedical image analysis: before you go too deep

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...
BioSpace

GE HealthCare unveils Pristina Recon DL for mammography – deep learning image ...

GE HealthCare has received FDA Premarket Authorization for Pristina Recon DL, an innovative 3D mammography reconstruction application. Powered by artificial intelligence (AI), Pristina Recon DL ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...
IEEE

Advancing Satellite Image Classification Using Deep Learning

Abstract: This research presents a novel deep learning-based approach to satellite image classification using the RSI-CB256 dataset, which consists of four distinct classes: cloudy, desert, green area ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...