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  • Improving road safety in smart cities using machine learning techniques

  • Behboudi, N., Moosavi, S., & Ramnath, R. Recent advances in traffic accident analysis and prediction: a comprehensive review of machine learning techniques. arXiv: 2406.13968. (2024).

  • Dabhade, S., Mahale, S., Chitalkar, A., Gawhad, P. & Pagare,…

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  • Neural dynamics of prospective memory aftereffects: a comparative ERP study on focal and non-focal cue processing

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  • On the constant depth implementation of Pauli exponentials

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  • Ultrasmall oral Saccharibacteria modulate gingival immunoactivation through type IV pili and TLR2-dependent endocytosis

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  • An embedded deep learning framework for real-time violence detection and alert generation

  • Qaraqe, M. et al. PublicVision: A secure smart surveillance system for crowd behavior recognition. IEEE Access. 12, 26474–26491 (2024).

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  • A three-level discretization framework for dynamic behaviors of graphene-coated rotational blades with preset-angle sandwich structure under complex loads

  • Zhang, Z., Basu, B. & Nielsen, S. R. K. Tuned liquid column dampers for mitigation of edgewise vibrations in rotating wind turbine blades. Struct. Control Health Monit. 22 (3), 500–517 (2025).

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  • The evolutionary mechanism of artificial intelligence industry collaboration networks: evidence from China

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  • Shaking table model test and numerical analysis of the steeply dipping bedded rock slopes under seismic actions

  • Dong Jinyu, W., Chuang, H., Zhiquan, Y. & Jihong, X. Dynamic response characteristics and instability criteria of a slope with a middle locked segment. Soil. Dynamic Earthq. Eng. 150 (11), 106899 (2021).

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