Many advances in medicine and drug development were possible owing to flow cytometry, a single-cell analysis technique that ...

A decade ago, scientists first detected ripples in the fabric of space-time, called gravitational waves, from the collision ...

VA continues to award contracts for pricey, "high-tech" weapons detection systems that the FTC and security specialists argue ...

Real-world datasets follow an imbalanced distribution, which poses significant challenges in rare-category object detection. Recent studies tackle this problem by developing re-weighting and ...

Background: Accurate sorghum spike detection is critical for monitoring growth conditions, accurately predicting yield, and ensuring food security. Deep learning models have improved the accuracy of ...

Abstract: Existing object detection methods is constrained by the high annotation costs, particularly in remote sensing due to the diversity of targets and the large scale of data. Visual-prompted ...

NEW MEXICO (KRQE) — Across the globe, technology that is designed to generate solar energy could potentially be employed for yet another planet-saving enterprise: Asteroid detection. One scientist at ...

Rice leaf diseases significantly impact yield and quality. Traditional diagnostic methods rely on manual inspection and empirical knowledge, making them subjective and prone to errors. This study ...

Abstract: The fusion of images and point clouds for 3D object detection is a prominent research area in the field of intelligent vehicles. However, the temporal misalignment between image and point ...

Pindrop’s researchers have dropped a new paper on “Audio and Visual Deepfake Countermeasures for Robust Detection and Fine Grained-Localization.” The paper “presents solutions for the problems of ...