Search Results - "TALIB, Abdullah Zawawi Hj"
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Deep Learning-Based Architectures for Recognition of Cow Using Cow Nose Image Pattern
Published in Gazi University Journal of Science (01-01-2020)“…Stacked denoising auto-encoder and deep belief network are proposed as methods of deep learning for cow nose image texture feature extraction, and for learning…”
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Journal Article -
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Deep Belief Network Approach for Recognition of Cow using Cow Nose Image Pattern
Published in Walailak journal of science and technology (01-03-2021)“…A deep belief network is proposed to learn the discriminatory cow nose image texture features for a robust representation of cows' features and recognition…”
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Journal Article -
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Enhancing the low quality images using Unsupervised Colour Correction Method
Published in 2010 IEEE International Conference on Systems, Man and Cybernetics (01-10-2010)“…Underwater images are affected by reduced contrast and non-uniform colour cast due to the absorption and scattering of light in the aquatic environment. This…”
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Conference Proceeding -
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Modeling Groups of Pedestrians in Least Effort Crowd Movements Using Cellular Automata
Published in 2009 Third Asia International Conference on Modelling & Simulation (01-05-2009)“…Groups of pedestrians like family members and friends normally move slower than others and therefore act as a virtual barrier and slow down the crowd. In this…”
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Conference Proceeding -
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Multi-Agent Simulation of Circular Pedestrian Movements Using Cellular Automata
Published in 2008 Second Asia International Conference on Modelling & Simulation (AMS) (01-05-2008)“…This paper presents a basic multi-layer model of human movement process. A behavior model is used to simulate actions of individual pedestrians while a…”
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Conference Proceeding -
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Feature extraction in automatic shape recognition system
Published in Proceedings. 2004 International Conference on Information and Communication Technologies: From Theory to Applications, 2004 (2004)“…Feature selection and extraction is the preprocessing step of image mining. An automatic shape recognition system by mining relevant image features is tested…”
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Conference Proceeding