What is CNN in Deep Learning? In this video, we understand what is CNN in Deep Learning and why do we need it. CNN (or ...

Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Specifically, we demonstrate the utility of employing deep graph neural networks as an independent postprocessing correction step to improve the hydration free energy (HFE) predictions of ...

Four of the 25 most-cited scientific papers of the 21st century were authored or co-authored by University of Toronto ...

In neuropathological diseases such as Alzheimer's Disease (AD), neuroimaging and Magnetic Resonance Imaging (MRI) play crucial roles in the realm of Artificial Intelligence of Medical Things (AIoMT) ...

To address these challenges, this paper proposes an Adaptive Convolutional Neural Network with Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP), which introduces a novel dynamic pathway ...

Keywords: deep learning, convolutional neural networks, midpalatal suture, CBCT, orthodontics, maxillary transverse deficiency Citation: Nik Ravesh M, Ameli N, Lagravere Vich M and Lai H (2025) ...