Search Results - "TALIB, Abdullah Zawawi Hj"

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  1. 1

    Deep Learning-Based Architectures for Recognition of Cow Using Cow Nose Image Pattern by BELLO, Rotimi-williams, TALIB, Abdullah Zawawi Hj, MOHAMED, Ahmad Sufril Azlan Bin

    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
  2. 2

    Deep Belief Network Approach for Recognition of Cow using Cow Nose Image Pattern by BELLO, Rotimi-Williams, TALIB, Abdullah Zawawi Hj, MOHAMED, Ahmad Sufril Azlan Bin

    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
  3. 3

    Enhancing the low quality images using Unsupervised Colour Correction Method by Iqbal, K, Odetayo, M, James, A, Salam, R A, Talib, A Z H

    “…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
  4. 4

    Modeling Groups of Pedestrians in Least Effort Crowd Movements Using Cellular Automata by Sarmady, S., Haron, F., Talib, A.

    “…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
  5. 5

    Multi-Agent Simulation of Circular Pedestrian Movements Using Cellular Automata by Sarmady, S., Haron, F., Zawawi, A.

    “…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
  6. 6

    Feature extraction in automatic shape recognition system by Salam, R.A., Talib, A.Z.H., Sumari, P., Rodrigues, M.A.

    “…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