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Iris recognition using convolutional neural network / Zhuang Yuan
Published 2018“…The rising of artificial intelligence provides a great opportunity to further popularize iris recognition. …”
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Thesis -
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Y-type Random 2-satisfiability In Discrete Hopfield Neural Network
Published 2024“…In the current development of Artificial Intelligence, Satisfiability plays a crucial role as a symbolic language of Artificial Intelligence for the transparency of black box models. …”
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Model of Bayesian tangent eye shape for eye capture
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A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks
Published 2025“…Data mining tools enabled by artificial intelligence can change the norms in employment practices. …”
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Eye closure and open detection using Adaptive Thresholding Histogram Enhancement (ATHE) technique and connected components utilisation
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Feature-based face recognition system using utilized artificial neural network
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DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…However the proposed algorithm offers a promising approach to building intelligent systems.…”
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Final Year Project -
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Systematic review on ai-blockchain based e-healthcare records management systems
Published 2022“…Finally, the emphasized taxonomy combines blockchain and artificial intelligence, which enables us to analyze possible blockchain and artificial intelligence applications in health records management systems. …”
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Systematic review on ai-blockchain based e-healthcare records management systems
Published 2022“…Finally, the emphasized taxonomy combines blockchain and artificial intelligence, which enables us to analyze possible blockchain and artificial intelligence applications in health records management systems. …”
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A hybrid-based modified adaptive fuzzy inference engine for pattern classification
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Urban connected vehicle lane planning based on improved Frank Wolfe algorithm
Published 2025“…Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. The results showed that the accuracy and recall of the proposed improved whale optimization algorithm on the Iris dataset were 95.27% and 92.65%, respectively, which were superior to traditional whale optimization algorithm, moth flame optimization algorithm, moth flame optimization algorithm combined with chaos strategy, and adaptive firefly optimization algorithm. …”
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Development of autonomous radiation mapping robot
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Proceeding Paper -
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Development of autonomous radiation mapping robot
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Proceeding Paper
