How sea mines threaten global trade, and how navies detect them

U.S. intelligence officials have assessed that Iranian forces have deployed a small number of mines in the Strait of Hormuz, ...

Syntiant and Novi Space Successfully Demonstrate Low-Power AI Inference in Orbit

Syntiant Corp., a leading provider of full-stack, low-power physical AI solutions from sensors to software, and Novi Space, Inc., a space technology and data analytics company, today announced the ...

AI crocodile detection trials begin in north Queensland

Researchers are trialling artificial intelligence to detect crocodiles in north Queensland waterways, but its success depends on human training to ensure accuracy.
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 ...

Smart Sensing Solutions: How China’s Top Supplier is Redefining Ultrasonic Detection

CHANGZHOU, JIANGSU, CHINA, March 20, 2026 /EINPresswire.com/ -- The landscape of modern industrial and consumer ...
IEEE

AUD-YOLO: A Lightweight Object Detection Algorithm Model Incorporating Dynamic Upsampling for Remote Sensing Images

Abstract: In the field of remote sensing image processing, remote sensing image object detection is a crucial undertaking. However, the existing object detection algorithms have a considerable number ...
IEEE

JMUCOD: Joint Maritime-Underwater Cross-Domain Object Detection Algorithm

Abstract: Maritime object detection (MOD) in synthetic aperture radar (SAR) imagery and underwater object detection (UOD) in synthetic aperture sonar (SAS) imagery are pivotal components in a wide ...
Scientific Research Publishing

Padilla, R., Netto, S. L., & da Silva, E. A. B. (2020). A Survey on Performance Metrics for Object-Detection Algorithms. In 2020 International Conference on Systems, Signals ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...