يعرض 81 - 100 نتائج من 152 نتيجة بحث عن 'algorithm flow function', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 81

    SUMO On-Ramp Traffic Scenario. حسب Tong Zhou (3770)

    منشور في 2025
    "…This strategy uses the improved D3QN algorithm combined with the excellent smoothness of the sine function to evaluate driving safety, helping vehicles find suitable gaps in traffic flow. …"
  2. 82

    Average Traffic Speed under Different Strategies. حسب Tong Zhou (3770)

    منشور في 2025
    "…This strategy uses the improved D3QN algorithm combined with the excellent smoothness of the sine function to evaluate driving safety, helping vehicles find suitable gaps in traffic flow. …"
  3. 83

    Collision rate for different strategies (%). حسب Tong Zhou (3770)

    منشور في 2025
    "…This strategy uses the improved D3QN algorithm combined with the excellent smoothness of the sine function to evaluate driving safety, helping vehicles find suitable gaps in traffic flow. …"
  4. 84

    Relative distance from surrounding vehicles. حسب Tong Zhou (3770)

    منشور في 2025
    "…This strategy uses the improved D3QN algorithm combined with the excellent smoothness of the sine function to evaluate driving safety, helping vehicles find suitable gaps in traffic flow. …"
  5. 85

    Zone division of On-ramp merging scenario. حسب Tong Zhou (3770)

    منشور في 2025
    "…This strategy uses the improved D3QN algorithm combined with the excellent smoothness of the sine function to evaluate driving safety, helping vehicles find suitable gaps in traffic flow. …"
  6. 86

    Software: Order-flow and long-memory in a simulated financial market حسب Shane Silverman (22497770)

    منشور في 2025
    "…Key scripts apply custom metaorder generation algorithms to the empirical data to estimate and compare the $\alpha$ and $\gamma$ exponents.…"
  7. 87

    Active Control of Laminar and Turbulent Flows Using Adjoint-Based Machine Learning حسب Xuemin Liu (20372739)

    منشور في 2024
    "…This dissertation extends and applies an adjoint-based machine learning method, the deep learning PDE augmentation method (DPM), for closed-loop active control on both laminar and turbulent flows. The end-to-end sensitivities for optimization are computed using adjoints of the governing equations without restriction on the terms that may appear in the objective function, which we construct using algorithmic differentiation applied to the flow solver. …"
  8. 88

    Data for "Saturation hysteresis during cyclic injections of immiscible fluids in porous media: an invasion percolation study" حسب Zhongzheng Wang (9762575)

    منشور في 2025
    "…A pore-resolved interface tracking algorithm for simulating multiphase flow in arbitrarily structured porous media. …"
  9. 89

    G4SNVHunter workflow for identifying variants that affect G4 formation. حسب Rongxin Zhang (1618159)

    منشور في 2025
    "…<b>(B)</b> Function-level schematic of the G4SNVHunter workflow, showing the relationships between key modules and their data flow. …"
  10. 90

    Recursive-Expansive Dynamics Frameworks Formalization with Negation Isolation and Inverse Zero Operators حسب Del Bel, Julian (21403013)

    منشور في 2025
    الموضوعات: "…Mathematical methods and special functions…"
  11. 91

    <b>Fig. 6 |</b> <b>Autonomous microrobot navigation upstream in a flow environment.</b> حسب Mahmoud Medany (20766911)

    منشور في 2025
    "…In stronger flow, initial difficulties lead to more negative rewards, but the algorithm shows significant improvement by 400,000 steps. …"
  12. 92

    Framework of MAPPO. حسب Jianbin Zheng (587000)

    منشور في 2025
    "…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …"
  13. 93

    The average completion time of each method. حسب Jianbin Zheng (587000)

    منشور في 2025
    "…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …"
  14. 94

    The connection of physical space. حسب Jianbin Zheng (587000)

    منشور في 2025
    "…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …"
  15. 95

    End-to-end data transmission delay. حسب Jianbin Zheng (587000)

    منشور في 2025
    "…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …"
  16. 96

    Production workflow of stiffened H-beams. حسب Jianbin Zheng (587000)

    منشور في 2025
    "…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …"
  17. 97

    Collision risk warning. حسب Jianbin Zheng (587000)

    منشور في 2025
    "…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …"
  18. 98

    Framework of rMAPPO. حسب Jianbin Zheng (587000)

    منشور في 2025
    "…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …"
  19. 99

    Data_and_model_files. حسب Jianbin Zheng (587000)

    منشور في 2025
    "…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …"
  20. 100

    Data Sheet 1_A machine-learning approach for pancreatic neoplasia classification based on plasma extracellular vesicles.pdf حسب Ioanna Angelioudaki (21177620)

    منشور في 2025
    "…Multiple studies explore how EVs size, surface biomarkers or content can determine their unique role and function in the recipient cell’s gene expression, metabolism and behavior affecting cancer development. …"