CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Objectives: Sturge-Weber syndrome (SWS) is a congenital neurological disorder occurring in the early childhood. Timely diagnosis of SWS is essential for proper medical intervention that prevents the ...

Figure 1. Image cross-sections of UO 2 fuel captured from different instruments with varying spatial resolutions. Figure 2. Axial cross-sections of the UO 2 fuel from SXCT reconstructed volume showing ...

Abstract: The rapidly evolving landscape of cyber threats poses significant challenges to network security, particularly in decentralized environments, such as edge computing. This article proposes an ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...

The Colossal Foundation, in partnership with Yellowstone Forever, Grizzly Systems, and the Nez Perce Tribe, has launched a bioacoustics initiative to analyze wolf vocalizations using AI. The project ...

Members of the research community at Microsoft work continuously to advance their respective fields. Abstracts bring its audience to the cutting edge with them through short, compelling conversations ...

Heat transfer is a fundamental property of matter. Research spanning decades has attempted to discover materials with exceptional thermal conductivity, yet the upper limit remains unknown. Using deep ...

I am currently doing a small research for my study on Sparse Transfer Learning and SparseML library is a good approach for my work. My topic is about applying sparse transfer learning on different ...

Abstract: The demand for large-scale data samples has always been a significant bottleneck in the application of artificial intelligence methods in the field of electromagnetic compatibility (EMC) of ...