Deep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance. However, the current Transformer ...

Abstract: While deep transfer learning models for medical image processing often achieve high accuracy, their lack of reliable calibration poses a potential safety risk in clinical applications.

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...

The transfer portal officially closes on Jan. 16, so now is a good time to check in on how the SEC's incoming transfer classes rank. The SEC is home to five of the nation's top-seven incoming transfer ...

Abstract: A unified AI-based approach in classification and grading for multiple fruits could effectively result in getting the quality of apples, bananas, and oranges, with a classification accuracy ...

This repository contains Python notebooks demonstrating image classification using Azure AutoML for Images. These notebooks provide practical examples of building computer vision models for various ...

Microplastics have been found to be highly pervasive in the environment, driving concerns for health, environment, and ecology. Analytical methods that can accurately identify microplastics are ...