Yann LeCun, Meta’s Chief AI Scientist and a Turing Award-winning deep learning pioneer, is preparing to leave Meta to start ...

Cheung, K. , Siu, Y. and Chan, K. (2025) Dual-Dilated Large Kernel Convolution for Visual Attention Network. Intelligent ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

The rising traffic density and heavier loads on the city’s vast network of bridges and highways have posed challenges to ...

Abstract: We propose the self-denoising network (SDNet), a self-supervised network based on a convolutional neural network (CNN), for Brillouin trace denoising. With the target noisy image as the only ...

Rep. Tim Burchett, R-Tenn., turned the tables on CNN on Monday when host Kate Bolduan accused President Donald Trump of refusing to bring down the political temperature after the assassination of ...

Abstract: Over the past few decades, convolutional neural network (CNN) has found broad applications in image recognition. Nevertheless, the operational environment of CNN is facing significant ...

Advanced audio denoising system using a Convolutional Neural Network (CNN) with a U-Net architecture and a ResNet101 backbone. This system effectively removes background noises from audio recordings, ...

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 Convolutional Neural Network) is the building block of all Computer Vision ...

1 Department of Qunli Ultrasound, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China 2 Department of Ultrasound, Jilin Cancer Hospital, Changchun, Jilin, China ...

Objective: To extract and analyze the image features of two-dimensional ultrasound images and elastic images of four thyroid nodules by radiomics, and then further convolution processing to construct ...