Zobrazeno 1 - 10
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pro vyhledávání: '"Asif, Hafiz Muhammad Shahzad"'
Publikováno v:
AMultimed Tools Appl 80, 15677 to 15700 (2021)
Digital images contain a lot of redundancies, therefore, compression techniques are applied to reduce the image size without loss of reasonable image quality. Same become more prominent in the case of videos which contains image sequences and higher
Externí odkaz:
http://arxiv.org/abs/2305.09214
Publikováno v:
Journal of Agricultural Research 59.2 (2021): 177-186
Crop diseases are a major threat to food security and their rapid identification is important to prevent yield loss. Swift identification of these diseases are difficult due to the lack of necessary infrastructure. Recent advances in computer vision
Externí odkaz:
http://arxiv.org/abs/2209.12443
Digital images contain a lot of redundancies, therefore, compressions are applied to reduce the image size without the loss of reasonable image quality. The same become more prominent in the case of videos that contains image sequences and higher com
Externí odkaz:
http://arxiv.org/abs/2112.13893
Publikováno v:
Journal of Agricultural Research, 2021
Crop yield is affected by various soil and environmental parameters and can vary significantly. Therefore, a crop yield estimation model which can predict pre-harvest yield is required for food security. The study is conducted on tea forms operating
Externí odkaz:
http://arxiv.org/abs/2102.05755
Identification of plant disease is usually done through visual inspection or during laboratory examination which causes delays resulting in yield loss by the time identification is complete. On the other hand, complex deep learning models perform the
Externí odkaz:
http://arxiv.org/abs/2102.04515
Autor:
Asif, Hafiz Muhammad Shahzad
Computational systems biology is an emerging area of research that focuses on understanding the holistic view of complex biological systems with the help of statistical, mathematical and computational techniques. The regulation of gene expression in
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.563727
Autor:
Ahmed, Nisar1, Asif, Hafiz Muhammad Shahzad2, Saleem, Gulshan3, Younus, Muhammad Usman4 usman1644@gmail.com
Publikováno v:
Journal of Agricultural Research (03681157). 2021, Vol. 59 Issue 2, p177-186. 10p.
Akademický článek
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Publikováno v:
Anwar, S, Ahmad, N & Asif, H M S 2021, ' Deep Ensembling for Perceptual Image Quality Assessment ', Wireless Personal Communications .
Blind image quality assessment is a challenging task particularly due to unavailability of reference information. Training a deep neural network requires a large amount of training data which is not readily available for image quality. Transfer learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pure_au_____::5fc031ef087d5b7002a9089e63d2e2bb
https://pure.au.dk/portal/da/publications/deep-ensembling-for-perceptual-image-quality-assessment(11453f11-eb50-4562-8272-6870ae2166ce).html
https://pure.au.dk/portal/da/publications/deep-ensembling-for-perceptual-image-quality-assessment(11453f11-eb50-4562-8272-6870ae2166ce).html
Akademický článek
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