A key challenge in Internet of Vehicles (IoV) environments is accurately predicting collision risks, given the dynamic nature of traffic systems and the variety of available data sources. Existing approaches often rely on structured IoV data, while visual contextual information is not fully incorporated into the predic...
T. Zhukabayeva, Zulfiqar Ahmad, N. Karabayev et al.· Intelligence & Robotics· 0 citations
A person-centered EdTech cognitive ecosystem model is proposed that integrates AI, analytics, cognition, ethics, well-being and adaptive learning to improve educational quality, while maintaining the intellectual and psychological stability of learners.
D. Baumuratova, T. Zhukabayeva, K. Abdrakhmanov et al.· Bulletin of the National Eng...· 0 citations
This study compares three widely used vulnerability sources for IoT systems-CVE, NVD, and ICS Advisories-using criteria such as data structure, machine readability, product identification, and risk metrics to build a unified vulnerability dataset suitable for threat modelling and risk assessment in smart city environme...
N. Karabayev, Y. Mardenov, T. Zhukabayeva et al.· DMPedia Lecture Notes in Com...· 0 citations
A robust and explainable cybersecurity framework for IoV in IIoT Cyber-Physical Systems (CPS) is proposed, in which implementation and validation using the RT-IoT2022 (Real-Time Internet of Things) dataset is performed.
T. Zhukabayeva, Zulfiqar Ahmad, N. Karabayev et al.· Discover Artificial Intellig...· 0 citations
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