A Comparative Study of Machine Learning classifiers to analyze the precision of Myocardial Infarction prediction

Khan, Razib Hayat; Miah, Jonayet; Nipun, Shah Ashisul Abed; Islam, Majharul

doi:10.1109/ccwc57344.2023.10099059

Cited by 14 publications

(1 citation statement)

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“…Expanding upon this progress, we introduce "An Artistic Style Neural Algorithm," a novel strategy for transferring artistic style within images [16,17]. This approach leverages the capabilities of Convolutional Neural Networks to autonomously manipulate both content and style aspects in real images.…”

Section: Methodsmentioning

confidence: 99%

Generative AI Model for Artistic Style Transfer Using Convolutional Neural Networks

Miah,

Cao,

Sayed

et al. 2023

JCSTS

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Artistic style transfer, a captivating application of generative artificial intelligence, involves fusing the content of one image with the artistic style of another to create unique visual compositions. This paper presents a comprehensive overview of a novel technique for style transfer using Convolutional Neural Networks (CNNs). By leveraging deep image representations learned by CNNs, we demonstrate how to separate and manipulate image content and style, enabling the synthesis of high-quality images that combine content and style in a harmonious manner. We describe the methodology, including content and style representations, loss computation, and optimization, and showcase experimental results highlighting the effectiveness and versatility of the approach across different styles and content.

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Section: Methodsmentioning

confidence: 99%