Additionally, it considers methods based on artificial intelligence, such as convolutional networks, which are used to identify objects in images in a manner similar ... a value considered high for ...

The proposed network is improved in the following aspects: firstly, a 1×1 convolutional layer is added to improve the detection ... from multi-pixels image; thirdly, the loss function is also ...

Background Coronary artery disease (CAD) is linked to an increased risk of mild cognitive impairment (MCI). Effective and ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

Necati Catbas collaborated with his former civil engineering student Marwan Debees, Ph.D., who now works as a NASA Bridge ...

This paper presents a novel approach, called 2DSlicesNet, which deals with the issue of 3D model retrieval and classification using a 2D slice-based representation with a 3D convolutional neural ...

Mandal and Mahto (2023) proposes a novel deep learning approach using a Multi-Branch Convolutional Neural Network (CNN) for the early detection of AD from brain MRI images. The primary goal is to ...

Choosing a home security camera can be a daunting task since there are a lot of things to consider. Some aren’t susceptible to power outages, thanks to their battery power and local storage ...

FILE - Pope Francis meets with President Donald Trump, left, on the occasion of their private audience, at the Vatican, May 24, 2017. (AP Photo/Alessandra Tarantino, Pool, File) ...