Tech Xplore

Image compression method combines classic techniques for greater efficiency and flexibility

In his research, Professor Marko Huhtanen from the University of Oulu, who specializes in applied and computational ...
Scientific Research Publishing

Dual-Dilated Large Kernel Convolution for Visual Attention Network ()

Cheung, K. , Siu, Y. and Chan, K. (2025) Dual-Dilated Large Kernel Convolution for Visual Attention Network. Intelligent ...
Mirage News

Efficient Multi-Wavelength Model for 3D Holograms

Computer-generated holography (CGH), as one of the most attractive next-generation three-dimensional (3D) display technology, possesses the capacity ...
IEEE

Self-Denoising of BOTDA Using Deep Convolutional Neural Networks

Abstract: We propose the self-denoising network (SDNet), a self-supervised network based on a convolutional neural network (CNN), for Brillouin trace denoising. With the target noisy image as the only ...
Frontiers

Automated identification of early to mid-stage Parkinson’s disease using deep convolutional neural networks on static facial images

Objective: This study investigates deep convolutional neural networks (CNNs) for automated detection of early to mid-stage Parkinson's disease (PD) from static facial images, aiming to explore ...
C&EN

Characterizing DNA Origami Nanostructures in TEM Images Using Convolutional Neural Networks

Department of Chemistry, Johns Hopkins University, Baltimore, Maryland 21218, United States Department of Chemistry, Johns Hopkins University, Baltimore, Maryland 21218, United States Department of ...
Frontiers

Diagnosis of pneumonia from chest X-ray images using YOLO deep learning

Early and accurate diagnosis of pneumonia is crucial to improve cure rates and reduce mortality. Traditional chest X-ray analysis relies on physician experience, which can lead to subjectivity and ...