2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) 2023
DOI: 10.1109/ccece58730.2023.10288799
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American Sign Language Character Recognition using Convolutional Neural Networks

Atesam Abdullah,
Nisar Ali,
Raja Hashim Ali
et al.
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Cited by 8 publications
(1 citation statement)
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“…For Pakistan, which has experienced a higher frequency of floods in recent years, it is evident that there is a critical need for an advanced system to detect floods in advance and accurately map flood-prone areas. Artificial Intelligence [4,5], in particular machine learning (clustering [6,7] and classification) and deep learning [8,9], have played an important role in identification of diseases [10][11][12], flood detection and warning systems, and in many other allied fields [13][14][15]. Such a system enables authorities to proactively relocate people to safer locations, reducing the impact of floods on vulnerable communities.…”
Section: Introductionmentioning
confidence: 99%
“…For Pakistan, which has experienced a higher frequency of floods in recent years, it is evident that there is a critical need for an advanced system to detect floods in advance and accurately map flood-prone areas. Artificial Intelligence [4,5], in particular machine learning (clustering [6,7] and classification) and deep learning [8,9], have played an important role in identification of diseases [10][11][12], flood detection and warning systems, and in many other allied fields [13][14][15]. Such a system enables authorities to proactively relocate people to safer locations, reducing the impact of floods on vulnerable communities.…”
Section: Introductionmentioning
confidence: 99%