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 ...
OECD

Using digital resources for learning

Standards and guidelines for development co-operation with concrete examples of their implementation ...
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 ...
IEEE

Customer Segmentation Using Machine Learning

Abstract: Customer segmentation is a method that uses un- supervised machine learning to segment customers by common characteristics, behaviors, and wants. This technique enables companies to market ...
iaea.org

New IAEA Research Project Uses Machine Learning to Better Predict Polymer Changes under ...

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...
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 ...
GitHub

Enhancing Building Safety through Machine Learning and Deep Learning Based Smoke Detection

ML Module — Seven classical machine learning classifiers trained on a real-world IoT sensor dataset (62,630 readings, 13 sensor channels) achieve near-perfect AUC-ROC scores above 0.999. DL Module — A ...