Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health ...

Abstract: Convolutional Neural Networks (CNNs) dominate medical image classification ... classical CNN models (ResNet18, ResNet50, VGG19, and AlexNet) on a dataset of 2,008 tongue coating images, with ...

Indian intelligence agencies have obtained satellite images revealing the existence of a Lashkar-e-Taiba (LeT) terrorist training camp in Pakistan-occupied Kashmir (PoK), raising suspicions of its ...

Domain : Computer Vision, Machine Learning Sub-Domain : Deep Learning, Image Recognition Techniques : Deep Convolutional Neural Network, Transfer Learning, VGG19 Application : Image Classification ...

Each image is 32x32 pixels with Red, Green and Blue channels. Similarly, the test data has 10,000 images. There are 10 unique labels ranging from 0 to 10. Training data shape: (50000, 32, 32, 3) Test ...

To address these limitations, this letter proposes an open set domain adaptation method integrating entropy-guided weighted adversarial networks and contrastive self-supervised learning for ...

Plot monthly ice extent anomalies, map sea ice concentration anomalies, and more. Use a map-based interface to spatially compare sea ice extent for any two days or months between 1979 and present. The ...