Showing 20,301 - 20,320 results of 21,154 for search '((((hone OR hongyu) OR (done OR one)) OR (bdone OR bhone)) OR soon)'s', query time: 0.21s Refine Results
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    Compositionally graded alloys fabricated using the laser powder bed fusion technique by Wei, Siyuan

    Published 2023
    “…With three different LPBF setups and four alloy systems examined in this study, the following objectives are achieved: (i) screening out, from a large range of compositions, the alloys that are amenable to LPBF, (ii) examining the effects of the LPBF characteristics, e.g., rapid cooling rate, on the micro-/meso-structure and properties of the fabricated parts with varying chemical compositions, and (iii) evaluating the fabrication methods in terms of types of achieved gradation (stepwise or smooth), efficiency, and level of chemical segregation. …”
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    Thesis-Doctor of Philosophy
  12. 20312

    Learning-enabled decision-making for autonomous driving: framework and methodology by Huang, Zhiyu

    Published 2023
    “…The methodologies proposed in this thesis focus on three key areas: (1) creating ML-driven actors and cost functions that align with human values, (2) developing ML-based world models capable of accurately forecasting complex human interactions, and (3) designing ML-based decision-making architectures that seamlessly integrate these components. …”
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    Thesis-Doctor of Philosophy
  13. 20313

    Conflict-free urban air mobility planning with an airspace-resource-centric approach by Dai, Wei

    Published 2024
    “…The formulation is a non-convex optimization problem with both continuous and 0-1 variables and implicit functions, which is difficult to resolve using mathematical programming or meta-heuristic optimization. …”
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    Thesis-Doctor of Philosophy
  14. 20314

    Leveraging linguistic knowledge to enhance low-resource NLP applications by Zhu, Zixiao

    Published 2025
    “…We demonstrate the advantages of integrating additional knowledge into deep learning systems and offer frameworks to apply this knowledge across different training paradigms, thereby improving performance on various NLP tasks, particularly under low-resource conditions. Specifically, 1. In the promptless fine-tuning paradigm, we first focus on fine-tuning word embeddings for task-related words, thereby enriching the conceptual knowledge available to compositional neural networks during feature learning in emotion recognition. …”
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    Thesis-Doctor of Philosophy
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