IEEE

Damaged Artwork Restoration Using Mask R-CNN and CA-GAN

Abstract: Art restoration plays a vital role in preserving cultural heritage and maintaining the beauty and history of damaged artwork. Traditional methods require experts, making the process ...
IEEE

Cutting-Edge Image Recognition Leveraging Deep Learning and Machine Learning for Enhanced Accuracy

Abstract: This paper investigates advanced techniques in image recognition and classification by integrating deep learning and machine learning approaches to achieve higher accuracy. Through the ...
Communications of the ACM

Where Are the City Trees? Monitoring Urban Trees across the U.S. Using Generative AI

The use of generative AI enables a novel computational approach to localize individual trees in all cities, despite their ...
Scientific Research Publishing

H-UQ-MFF: Hybrid Uncertainty-Aware Multi-Feature Fusion for Clinically-Translatable Glaucoma Detection with FDA-Compliant Validation ()

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
IEEE

Flood Area Segmentation using Using U-Net: A Deep Learning Approach with UAV and Satellite Imagery

Abstract: Flood area segmentation plays a critical role in disaster management and mitigation, providing valuable insights for timely interventions and resource allocation during flood events. This ...
IEEE

CNN-LSTM-Attention-based Vehicle Weight Estimation using Weigh-in-Motion

Abstract: Vehicle weight significantly impacts load distribution on road surfaces and collision forces in traffic accidents, thereby influencing structural integrity and injury risk. While advanced ...
IEEE

MCBL-UNet: A Hybrid Mamba-CNN Boundary Enhanced Light-weight UNet for Placenta Ultrasound Image Segmentation

Abstract: The shape and size of the placenta are closely related to fetal development in the second and third trimesters of pregnancy. Accurately segmenting the placental contour in ultrasound images ...
IEEE

Development of a tongue image-based machine learning tool for the diagnosis of colorectal cancer: a prospective multicentre clinical cohort study

Abstract: Colorectal cancer (CRC) remains a persistent major global health burden, with traditional diagnostic methods like colonoscopy suffering from suboptimal patient compliance rates. This study ...
techtimes

AI Cyberattacks Rising: How Hackers Use Machine Learning to Launch Smarter Attacks

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...
IEEE

Asymmetric Mamba–CNN Collaborative Architecture for Large-Size Remote Sensing Image Semantic Segmentation

Abstract: Large-size remote sensing images contain rich geographical information. Efficient and accurate semantic segmentation of these images is of significant importance in various fields. However, ...