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  1. 41

    Anthropomorphism and socialization in smart urban mobility: insights from human-autonomous vehicle interaction by Wu, Min

    Published 2025
    “…Artificial intelligence (AI) has revolutionized autonomous vehicle technology, which is crucial for Smart Urban Mobility. …”
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    Thesis-Doctor of Philosophy
  2. 42

    Optimization and scheduling for a large-scale urban transportation system involving human factors by Zhang, Yi

    Published 2020
    “…Overall, the thesis proposes three major problems faced by the researchers and policy makers in the intelligent transportation field. The suggested guidelines and methods can assist in developing a comprehensive and sustainable urban transport system in order to provide citizens a smarter, safer and more interactive transportation experience.…”
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    Thesis-Doctor of Philosophy
  3. 43

    Reconfigurable intelligent surface-assisted aerial-terrestrial communications via multi-task learning by Cao, Xuelin, Yang, Bo, Huang, Chongwen, Yuen, Chau, Renzo, Marco Di, Niyato, Dusit, Han, Zhu

    Published 2022
    “…However, the benefits of such a system cannot be fully exploited, especially when the line-of-sight (LoS) transmissions are prone to severe deterioration due to complex propagation environments in urban areas. The emerging technology of reconfigurable intelligent surfaces (RISs) has recently become a potential solution to mitigate propagation-induced impairments and improve wireless network coverage. …”
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    Journal Article
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    Artificial Intelligence as an enabler of quick and effective production repurposing manufacturing: an exploratory review and future research propositions by Naz, Farheen, Kumar, Anil, Agrawal, Rohit, Garza-Reyes, Jose Arturo, Majumdar, Abhijit, Chokshi, Hemakshi

    Published 2024
    “…For this purpose, recent advancements in technology and artificial intelligence (AI) could act as response solutions to conquer the threats linked with repurposing manufacturing (RM). …”
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    Article
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    Creativity in Intelligent Technologies and Data Science : 4th International Conference, CIT&DS 2021, Volgograd, Russia, September 20-23, 2021 : Proceedings / by CIT&DS (Conference) (4th : 2021 : Volgograd, Russia), organiser 642924, Kravets, Alla G., editor 642925, Shcherbakov, Maxim, editor 642926, Parygin, Danila, editor 642927, Groumpos, Peter P., editor 642928

    Published [202
    “…The papers are organized in the following topical sections: Artificial intelligence and deep learning technologies: knowledge discovery in patent and open sources; open science semantic technologies; IoT and computer vision in knowledge-based control; Cyber-physical systems and big data-driven control: pro-active modeling in intelligent decision making support; design creativity in CASE/CAI/CAD/PDM; intelligent technologies in urban design and computing; Intelligent technologies in social engineering: data science in social networks analysis and cyber security; educational creativity and game-based learning; intelligent assistive technologies: software design and application.…”
    text
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    AI assisted indoor localization by Lee, Yih Jie

    Published 2023
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    Final Year Project (FYP)
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    Stealthy and robust glitch injection attack on deep learning accelerator for target with variational viewpoint by Liu, Wenye, Chang, Chip-Hong, Zhang, Fan

    Published 2021
    “…The advocacy of 'model once, run optimized anywhere' paradigm introduces potential new security threat to edge intelligence that is methodologically different from the well-known adversarial examples. …”
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    Journal Article
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    AI Analytics for Carbon-Neutral City Planning: A Systematic Review of Applications by Cong, Cong, Page, Jessica, Kwak, Yoonshin, Deal, Brian, Kalantari, Zahra

    Published 2024
    “…Artificial intelligence (AI) has become a transformative force across various disciplines, including urban planning. …”
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    Article
  20. 60

    Data fusion and missing data estimation in road networks by Foo, Her Yiow

    Published 2015
    “…This includes recovering low resolution large scale urban traffic data, predicting future traffic data and recovering missing traffic data using tensor methods which is essential for intelligence transport system (ITS) application. …”
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    Final Year Project (FYP)