Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Abstract: With an emphasis on convolutional neural networks (CNNs), this research does a thorough analysis of the effectiveness and suitability of the TensorFlow and PyTorch frameworks for image ...

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 ...

Addressing the issues with insufficient multi-scale feature perception and incomplete understanding of global information in traditional convolutional neural networks for image classification of wheat ...

Our self-image plays a critical role in shaping our identity and influencing how we engage with the world. It encompasses not just our physical appearance, but also the way we perceive ourselves ...

Learn how to code your own neural network in Python, then deploy it in an Image Classification App using TensorFlow Lite.

Retinal image analyser is a ASP.net with C# based web application that is able to analyse upload 'zip' files containing retinal scan images along with the masks used, and give results that are ...