A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.
Artificial intelligence continues disrupting established technology categories, and image editing represents one of the ...
Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.
Abstract: Object detection is essential for safe autonomous driving systems. While cameras are the most commonly used modality, their performance degrades significantly under low-light or scattering ...
Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning
This is a useful study that applies deep transfer learning to assign patient-level disease attributes to single cells of T2D and non-diabetic patients, including obese patients. This analysis ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
Deep-Learning-Based Object Detection and Tracking of Debris Flows in 3-D Through LiDAR-Camera Fusion
Abstract: Debris flows are mixtures of water and sediments and are a significant natural hazard in mountainous regions. A novel monitoring approach combining LiDAR sensors and video cameras enables ...
ABSTRACT: Timely and accurate detection of plant diseases is essential for improving crop yields and ensuring food security, particularly in regions like Cameroon, where farmers often rely on visual ...
Soybean looper (SBL), Chrysodeixis includens (Walker) (Lepidoptera: Noctuidae: Plusiinae), a major pest native to the Americas, poses considerable management challenges. Sex pheromone trapping in IPM ...
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