The Lancet

A predictive atlas of disease onset from retinal fundus photographs: a modelling study using data from population-based cohorts

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...

Researchers are combining drones and AI to make removing land mines faster and safer

Using drones makes detecting land mines safer. Using AI to fuse data from multiple types of sensors on the drones makes it more efficient.
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
IEEE

Contour Matching-Based Non-Diffuse Reflection Noise Point Cloud Detection Method

Abstract: To mitigate the impact of non-diffuse reflection noise in light detection and ranging (LiDAR) point clouds on the mapping accuracy of simultaneous localization and mapping (SLAM) technology, ...
IEEE

YOLO-DCS: A Brain Tumor Detection Algorithm Based on Dynamic Self-Attention Mechanism and Adaptive Fusion*

Abstract: To address the issues of high missed detection rates for small objects and interference from complex backgrounds in brain tumor detection, this paper proposes an improved model named ...