Nanoparticles and AI can help researchers detect pollutants in water, soil and blood

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by ...

Safe Pro Group (NASDAQ: SPAI) Deploys Upgraded AI Algorithms for Drone Operations in GPS Denied Environments

Safe Pro Group (NASDAQ: SPAI) today announced the deployment of upgraded artificial intelligence algorithms to its ...
IEEE

BBD-YOLO: An Improved Object Detection Algorithm for UAV Images Based on Dynamic Sparse Attention and Multi-Scale Feature Fusion

Abstract: Object detection technology for UAV images holds significant importance in various fields. However, many existing object detection algorithms suffer from limited detection accuracy, along ...
Scientific Research Publishing

Goldstein, M. and Uchida, S. (2016) A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data. PLOS ONE, 11, e0152173.

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...
Scientific Research Publishing

Neha, F., Bhati, D., Shukla, D.K. and Amiruzzaman, M. (2024) From Classical Techniques to Convolution-Based Models: A Review of Object Detection Algorithms. arXiv: 2412.05252.

ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...
IEEE

FM-RTDETR: Small Object Detection Algorithm Based on Enhanced Feature Fusion With Mamba

Abstract: Traditional real-time object detection networks deployed in autonomous aerial vehicles (AAVs) struggle to extract features from small objects in complex backgrounds with occlusions and ...