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Showing 661 - 664 results of 664 for search '((bear OR car) OR (((chers OR chern) OR (cheers OR (cheer OR cher))) OR sheer))*', query time: 0.20s Refine Results
  1. 661
    Amino-functionalised β-diketiminate ligands (N-nacnacs): Synthesis and coordination chemistry with Main Group elements

    Amino-functionalised β-diketiminate ligands (N-nacnacs): Synthesis and coordination chemistry with Main Group elements by Huan, D

    Published 2018
    “…The establishment of a library of germylenes and stannylenes bearing different N-bound aromatic substituents with varying degrees of steric bulk allows for a systematic study of the steric effects of the flanking aryl groups on the overall molecular metrics of these complexes. …”
    Thesis
  2. 662
    Scheduling and resource optimization in rail operations : models and algorithms

    Scheduling and resource optimization in rail operations : models and algorithms by Birhade, Mahendra Pandharinath

    Published 2016
    “…Railway resources such as tracks, overhead equipment, locomotives, passenger and freight cars require huge capital investments and long lead time for procurement and installation. …”
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    Thesis
  3. 663
    Stability improvement and control optimization of isolated two-stage AC-DC-DC converter systems

    Stability improvement and control optimization of isolated two-stage AC-DC-DC converter systems by Feng, Fan

    Published 2020
    “…The analysis results offer instructive implications to fine-tune the design rules of the DAB converters. Bearing the mind that the impedance model of the DAB converter is closely related to the modulation schemes, the impacts of three typical modulation methods on the DAB impedances are analyzed and compared. …”
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    Thesis-Doctor of Philosophy
  4. 664
    Towards robust sensing and recognition : from statistical learning to transfer learning

    Towards robust sensing and recognition : from statistical learning to transfer learning by Yang, Jianfei

    Published 2020
    “…Secondly, current domain adaptation methods require careful manual hyper-parameter tuning, which is not realistic for unmanned systems such as smart cars. To stabilize the training of adversarial domain adaptation, Max-margin Domain-Adversarial Training (MDAT) is developed in this thesis to realize stable convergence without cumbersome manuals. …”
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    Thesis-Doctor of Philosophy

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