As a result, large wall crack data sets are rare. This issue impairs the training of deep networks and may lead to the suboptimal detection result. To address this issue, we first capture a set of ...

In a study published in Nature Communications, researchers at the University of Wisconsin–Madison introduced a deep learning ...

A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the ...

Researchers at the University of Toronto have developed a method that uses artificial intelligence (AI) and Google Maps' ...

CLEARWATER, Fla — Construction crews continued to stabilize the condo building on Sand Key after it was evacuated after a crack was found in the parking garage. WATCH: Construction crews work to ...

Researchers developed an AI-driven system for real-time prediction of concrete strength, integrating sensors to streamline ...

DERM (Deep Ensemble for Recognition of Malignancy), developed ... This is because the incidence of skin cancer is lower in these patient groups, and the use of DERM for skin cancer detection is less ...

Currently, the detection of stress severity relies on self-assessment scales, while machine learning or deep learning-based approaches primarily focus on classification. This study proposes an ...

What is currently the most common cause of squamous-cell cancer of the tonsils? Although squamous-cell carcinoma of the tonsils has historically been caused primarily by tobacco-related and ...