Plant diseases remain a major threat to food security and agricultural productivity, especially in resource-constrained ...

Background Coronary artery disease (CAD) is linked to an increased risk of mild cognitive impairment (MCI). Effective and ...

The study introduces an AI-driven approach to concrete mix design, optimizing for strength and sustainability while reducing ...

Traditional object detection algorithms, including both two-stage models like Faster R-CNN and one-stage variants such as ...

To investigate the performance of the model under limited sample-size conditions, we trained it and state-of-the-art (SOTA) deep learning models with 7, 14, and 28 tumors. Our model achieved average ...

the researchers identified a model that, when coupled with appropriate data augmentation and optimization partner, may help aid in the detection of skin cancer. Using an accessible deep learning ...

We then used this theory to develop a novel deep learning instance segmentation-based 3D point source localization system. When tested with 4,000 simulated, 993 phantom, and 1,983 ex vivo channel data ...

Machine learning and deep learning tasks demand substantial computing power. Whether you’re training a convolutional neural ...

We’re developing a deep learning model that should be able to predict the plasma’s behavior in a split second ... When I say “AI Scientist,” I really mean an AI scientific assistant. The literature ...