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154 ta ish

Ish: Towards the application of machine learning in digital twin technology: a multi-scale review

  1. Sarlavhasiz

    Boshqa13 iqtibos
    ABI
  2. Isolation Forest

    Fei Tony Liu, Kai Ming Ting, Zhi‐Hua Zhou

    Maqola20084 iqtibos
    ABI
  3. Intelligent Manufacturing in the Context of Industry 4.0: A Review

    Ray Y. Zhong, Xun Xu, Eberhard Klotz +1

    Sharh maqola20174 iqtibos
    ABI
  4. Enabling technologies and tools for digital twin

    Qinglin Qi, Fei Tao, Tianliang Hu +5

    Maqola20194 iqtibos
    ABI
  5. Deep Reinforcement Learning: A Brief Survey

    Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage +1

    Maqola20173 iqtibos
    ABI
  6. DBSCAN Revisited, Revisited

    Erich Schubert, Jörg Sander, Martin Ester +2

    Maqola20172 iqtibos
    ABI
  7. Optimization of Molecules via Deep Reinforcement Learning

    Zhenpeng Zhou, Steven Kearnes, Li Li +2

    Maqola20192 iqtibos
    ABI
  8. Industry 4.0, digitization, and opportunities for sustainability

    Morteza Ghobakhloo

    Maqola20192 iqtibos
    ABI
  9. A Review of Deep Reinforcement Learning for Smart Building Energy Management

    Liang Yu, Shuqi Qin, Meng Zhang +3

    Sharh maqola20212 iqtibos
    ABI
  10. Digital Twin applications toward Industry 4.0: A Review

    Mohd Javaid, Abid Haleem, Rajiv Suman

    Sharh maqola20232 iqtibos
    ABI
  11. Systematic review of digital twin technology and applications

    Junfeng Yao, Yong Yang, Xuecheng Wang +1

    Sharh maqola20232 iqtibos
    ABI