The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

ABSTRACT: Waste generation in Kenya has been increasing with the rapid urbanization (Haregu et al., 2017; Okot-Okumu, 2012). Almost 50% of the waste is generated in urban centers, and 0.5 kg per ...

REDLANDS, Calif.--(BUSINESS WIRE)--Esri, the global market leader in location intelligence, is launching Content Store for ArcGIS, a new web app that simplifies the process of purchasing and ...

Esri, the global market leader in location intelligence, is launching Content Store for ArcGIS, a new web app that simplifies the process of purchasing and integrating commercial satellite imagery.

Weed management presents a major challenge to vegetable growth. Accurate identification of weeds is essential for automated weeding. However, the wide variety of weed types and their complex ...

Hyperspectral images are rich in spectral and spatial information, providing a detailed and comprehensive description of objects, which makes hyperspectral image analysis technology essential in ...

Abstract: Although Convolutional Neural Networks (CNNs) have achieved remarkable success in image classification, most CNNs use image datasets in the Red-Green-Blue (RGB) color space (one of the most ...

The company will allow users of its Gemini chatbot to create images of people with artificial intelligence after disabling the feature six months ago. By Nico Grant Reporting from San Francisco In ...

Abstract: The image classification is a research field where images are classified without human intervention. E-commerce image classification is the application of machine learning where techniques ...