The study addresses a common challenge in sustainable waste management: real-time classification of household waste under ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

Dr. Muhammad Waqar Akram and his team from the Department of Farm Machinery and Power at University of Agriculture Faisalabad ...

The deep learning system distinguishes IIH, NAION, and healthy eyes with 93.6% accuracy, aiding in resource-limited settings.

Artificial intelligence (AI) is entering the mainstream. The term encompasses a wide variety of machines that can learn from ...

High-resolution computed tomography (HRCT) is the standard to diagnose and assess progression in interstitial lung disease (ILD), a key feature in ...

In the battle against invasive species, researchers in China have developed a groundbreaking deep learning model that ...

Machine learning and deep learning tasks demand substantial computing power. Whether you’re training a convolutional neural ...

The Swedish retailer H&M said it was exploring the use ... two photographs taken for the fashion retailer H&M, the model Mathilda Gvarliani is seen posing in a white tank top and jeans. The images ...

Fortunately, the integration of deep learning ... of fundus images involves down-sampling, local average color subtraction, and cropping of image borders. Classification is conducted using ...

Study: Improving portable low-field MRI image quality through image-to-image translation using ... deep-learning-based models to translate low-field 64mT MRI scans to high-field 3T images.