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Author

A. K. Jumaat

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Open access Oct 2026

ACM for segmenting intensity inhomogeneity images corrupted by a mixture of AGMG noise

In practice, active contour models (ACMs) are effective in segmenting images, which are mostly applied in computer vision and medical imaging. However, the result may be challenged when the images contain noise and intensity inhomogeneity. Images are commonly deteriorated by a mixture of noise involving additive Gaussi...

N. Ismail, A. K. Jumaat, R. Saian et al. · 0 citations
Review Open access Aug 2026

A PRISMA-guided systematic review of artificial intelligence techniques for fruit diseases detection

Fruit diseases pose a serious challenge to agricultural productivity and require effective and prompt detection strategies. Traditional techniques based on manual observation are often limited by subjectivity and delay, creating a strong need for automated solutions. Deep learning and artificial intelligence (AI) have...

Hairulanuar Kamaruddin, Mohd Nazri Abdul Raji, M. F. Laham et al. · 0 citations

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