Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...

Elon Musk’s Grok chatbot has limited some of its Imagine image generation features to paid X subscribers, days after international uproar over the AI tool responded to user requests by “digitally ...

This project implements a state-of-the-art CNN architecture for CIFAR-10 image classification, achieving 88.82% accuracy through systematic hyperparameter optimization. The implementation includes GPU ...

Web Developer Working with Laravel, Vue.js and MySQL Will probably post about tech, programming, no-code and low-code ...

A deep learning project that uses Convolutional Neural Networks (CNN) to classify Indian traffic signs. This project includes a trained model and two different user interface options (Streamlit and ...

As the economy and society continue to develop, the range of underwater vehicles is expanding and technology is constantly being upgraded. Consequently, it is becoming increasingly difficult to ...

Can AI create a professional headshot for your LinkedIn profile? See CNN producer's results ...

In case you've faced some hurdles solving the clue, 3D images made using laser light, we've got the answer for you. Crossword puzzles offer a fantastic opportunity to engage your mind, enjoy leisure ...

Electroencephalogram (EEG) signal analysis plays a vital role in diagnosing and monitoring alcoholism, where accurate classification of individuals into alcoholic and control groups is essential.

Abstract: Traditional brain tumor diagnosis and classification are time-consuming and heavily reliant on radiologist expertise. The ever-growing patient population generates vast data, rendering ...