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

“…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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Energy storage management for renewable energy systems by Feng, Xue

“…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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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

“…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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Cloud removal in optical remote sensing imagery based on SAR-guided inpainting using deep learning by Dou, Kaijie

“…With the development of high-resolution optical remote sensing satellite technology, optical satellite images are gradually widely used in navigation and positioning, agricultural investigation, environmental protection, disaster prevention and reduction, marine development, urbanization research and other fields. However, not all images can meet the requirements of intelligent information processing. …”
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Persuasive teachable agent for intergenerational learning by Lim, Su Fang

“…Teachable agents are artificial intelligent computer agents designed around the pedagogical concept that students learn better when they teach others. …”
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Three Paradoxes to Reconcile to Promote Safe, Fair, and Trustworthy AI in Education by Slama, Rachel, Toutziaridi, Amalia Christina, Reich, Justin

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