EurekAlert!

Deep learning-based discovery of tetrahydrocarbazoles as broad-spectrum antitumor agents and click-activated strategy for targeted cancer therapy

This new article publication from Acta Pharmaceutica Sinica B, discusses the deep learning-based discovery of tetrahydrocarbazoles as broad-spectrum antitumor agents and click-activated strategy for ...
The Manila Times

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
AZoOptics

Deep Learning in Optical Microscopy: Advancements and Applications

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
IEEE

Efficient Hyperspectral Image Classification Using Discrete Cosine Transform on Limited-Resource Systems

Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep ...
Tech Xplore on MSN

Detection of concealed explosives using terahertz spectral imaging and deep learning

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current technologies often face significant operational limitations. While X-ray scanners ...
Scientific Research Publishing

Kohler, M. and Langer, S. (2025) Statistical Theory for Image Classification Using Deep Convolutional Neural Network with Cross-Entropy Loss under the Hierarchical Max-Pooling ...

ABSTRACT: The Rectified Linear Unit (ReLU) activation function is widely employed in deep learning (DL). ReLU shares structural similarities with censored regression and Tobit models common in ...
Frontiers

Deep learning–based approaches for weed detection in crops

Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.
BioSpace

GE HealthCare unveils Pristina Recon DL for mammography – deep learning image reconstruction technology delivering clearer image quality

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 ...
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 ...