Designer proteins unlock near-infrared and SWIR glow for deeper tissue imaging

Researchers at the National Center for Tumor Diseases (NCT/UCC) in Dresden, including Oliver Bruns and Dr. Bernardo Arús, are participating in an international study that has, for the first time, ...
IEEE

Single Remote Sensing Image Super-Resolution via Convolutional Neural Network and Diffusion Model

Abstract: Recent diffusion generative model super-resolution (SR) methods have made great progress in remote sensing image quality enhancement. However, the representation learning capability of ...
Tom's Guide

ChatGPT just launched Images 2.0, and it finally fixes warped text

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IEEE

High-Resolution Image Reconstruction Using Convolutional Neural Network-Based Deep Learning Models

Abstract: This paper presents an optimized lightweight Super-Resolution Convolutional Neural Network (SRCNN) capable of reconstructing high-quality images with strong fidelity. The proposed framework ...
Nature

Image super-resolution method using a generative adversarial network incorporating attention and residual density

Propose a novel and effective image super-resolution method that overcomes the shortcomings of existing methods and improves image super-resolution quality. Multi-level feature fusion adopts the ...
Scientific Research Publishing

Damage Detection in Simply Supported Beams Using 1D Convolutional Neural Networks with Vibration Signals ()

1 Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 Research Center for Wind ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection and classification of liver cancer

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 ...
Nature

A general lightweight image super-resolution with sharpening enhancement and double attention network

In recent years, single image super-resolution (SISR) based on deep learning has achieved excellent results. However, the consequent elevated computational and storage expenses limit its ...
Frontiers

A vision-based drowsiness detection system for railway operators using lightweight convolutional neural networks

This research addresses the challenge of monitoring railway driver drowsiness using a real-time, vision-based system powered by convolutional neural networks, specifically the YOLOv8 architecture ...
Nerdbot

Top 10 Best AI Image Upscalers for eCommerce 2025 SellerPic

Poor product images kill sales faster than high shipping costs. In 2025, 93% of consumers consider visual appearance the key deciding factor in purchasing decisions. Low-resolution product photos ...
PNAS

Descattering and image restoration with a transformer-based neural network in deep tissue imaging

The significant contributions of this work are threefold. First, it leverages deep learning to extend in vivo imaging depth of two-photon excitation fluorescence microscopy, far beyond the depths ...