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29 та иш

Иш: Deep learning model for efficient traffic forecasting in intelligent transportation systems

  1. Towards 6G: Key technological directions

    Chamitha de Alwis, Pardeep Kumar, Quoc‐Viet Pham +4

    Мақола20223 иқтибос
    ABI
  2. Machine Learning-based traffic prediction models for Intelligent Transportation Systems

    Azzedine Boukerche, Jiahao Wang

    Мақола20202 иқтибос
    ABI
  3. A perspective on 6G: Requirement, technology, enablers, challenges and future road map

    Partha Pratim Ray

    Мақола20212 иқтибос
    ABI
  4. Perspectives on 6G wireless communications

    Yeh Choongil, Gweon Do Jo, Young‐Jo Ko +1

    Мақола20222 иқтибос
    ABI
  5. Evolution of optical wireless communication for B5G/6G

    Zixian Wei, Zhaoming Wang, Jianan Zhang +3

    Мақола20222 иқтибос
    ABI
  6. BRAM-ED: Vehicle Trajectory Prediction Considering the Change of Driving Behavior

    Lin Li, Wanzhong Zhao, Chunyan Wang +2

    Мақола20222 иқтибос
    ABI
  7. Internet of wearable things: Advancements and benefits from 6G technologies

    Nhu‐Ngoc Dao

    Мақола20222 иқтибос
    ABI
  8. Vehicle Trajectory Prediction Method Driven by Raw Sensing Data for Intelligent Vehicles

    Qingyu Meng, Hongyan Guo, Jialin Li +2

    Мақола20232 иқтибос
    ABI
  9. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  10. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  11. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  12. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  13. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  14. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI