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Akademický článek

Semantic segmentation of urban environments: Leveraging U-Net deep learning model for cityscape image analysis.

Autor: T S Arulananth, P G Kuppusamy, Ramesh Kumar Ayyasamy, Saadat M Alhashmi, M Mahalakshmi, K Vasanth, P Chinnasamy

Publikováno v: PLoS ONE, Vol 19, Iss 4, p e0300767 (2024)

Semantic segmentation of cityscapes via deep learning is an essential and game-changing research topic that offers a more nuanced comprehension of urban landscapes. Deep learning techniques tackle urban complexity and diversity, which unlocks a broad

Externí odkaz: https://doaj.org/article/268e54d2b3c840228b4f0f855ecf21a4

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Akademický článek

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Akademický článek

IoT based enabling home automation system for individuals with diverse disabilities

Autor: P. Anuradha, K. Vasanth, G. Renuka, A. Rajeshwar Rao

Publikováno v: e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 6, Iss , Pp 100366- (2023)

This paper addresses the challenges faced by individuals with impairments, focusing on their specific needs. Moreover, the insights from this study can be applied to individuals who have encountered accidents or various similar circumstances. The pri

Externí odkaz: https://doaj.org/article/8de1e79d5cbf406782e78a87ba53397c

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Akademický článek

Brain image fusion-based tumour detection using grey level co-occurrence matrix Tamura feature extraction with backpropagation network classification

Autor: R. Bhavani, K. Vasanth

Publikováno v: Mathematical Biosciences and Engineering, Vol 20, Iss 5, Pp 8727-8744 (2023)

Most challenging task in medical image analysis is the detection of brain tumours, which can be accomplished by methodologies such as MRI, CT and PET. MRI and CT images are chosen and fused after preprocessing and SWT-based decomposition stage to inc

Externí odkaz: https://doaj.org/article/fa87c18cd0334ff1a86c95f29d459b4e

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