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 ...

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...

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 ...

At a number of area schools, multi-age classes combine students from different grades into one class. Staff members said this allows students to have the same teachers and classrooms for a few years, ...

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 ...