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  1. 321

    A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings by Chaudhuri, Tanaya, Soh, Yeng Chai, Li, Hua, Xie, Lihua

    Published 2021
    “…The study is substantiated with extensive real human experiments in controlled thermal environment. …”
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    Journal Article
  2. 322

    Physical unclonable function based solutions to unification of user, device and data authentication by Zheng, Yue

    Published 2020
    “…A UDhashing scheme is proposed to unify the macroscopic human biometric and microscopic silicon entropy into a single identity by projecting the contactless facial biometric into a PUF- defined random space. …”
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    Thesis-Doctor of Philosophy
  3. 323

    Energy storage management for renewable energy systems by Feng, Xue

    Published 2016
    “…Excess dependence on fossil fuels and hence large amount of carbon emission overloads the atmosphere of the earth and causes global warming which poses negative impacts on the sustainability development of the human being. The increasing carbon emission is largely due to the deployment of the carbon intensive electricity generation based on fossil fuels. …”
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    Thesis
  4. 324

    Representation learning in the artificial and biological neural networks underlying sensorimotor integration by Suhaimi, Ahmad, Lim, Amos W. H., Chia, Xin Wei, Li, Chunyue, Makino, Hiroshi

    Published 2023
    “…The integration of deep learning and theories of reinforcement learning (RL) is a promising avenue to explore novel hypotheses on reward-based learning and decision-making in humans and other animals. Here, we trained deep RL agents and mice in the same sensorimotor task with high-dimensional state and action space and studied representation learning in their respective neural networks. …”
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    Journal Article
  5. 325

    Persuasive teachable agent for intergenerational learning by Lim, Su Fang

    Published 2016
    “…Teachable agents are artificial intelligent computer agents designed around the pedagogical concept that students learn better when they teach others. …”
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    Thesis
  6. 326