Showing 521 - 540 results of 1,442 for search '((pinnacle OR ((pine OR fine) OR mingge)) OR (((pinna OR pinn) OR bina) OR ping))', query time: 0.19s Refine Results
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  8. 528

    Modeling distance-dependent individual head-related transfer functions in the horizontal plane using frontal projection headphones by Sunder, Kaushik, Gan, Woon-Seng, Tan, Ee-Leng

    Published 2016
    “…Soc. 61, 989–1000] project the sound directly onto the pinnae from the front, and thus inherently create listener's idiosyncratic pinna cues at the eardrum. …”
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    Journal Article
  9. 529

    Range expansion of a declining forest species, the Western Gray Squirrel (Sciurus griseus), into semi-arid woodland by Sultaire, SM, Montgomery, RA, Jackson, PJ, Millspaugh, JJ

    Published 2024
    “…Occupancy modeling revealed that western gray squirrels were equally likely to occur in piñon–juniper woodland compared to mature pine forest that they occupy elsewhere in their range. …”
    Journal article
  10. 530

    Effect of hydrophobic soils on infiltration by Tong, Wan Yi

    Published 2020
    “…The fine sand layer was then replaced by hydrophobic fine sand to study the effect of hydrophobicity on the infiltration. …”
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    Final Year Project (FYP)
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  13. 533

    The response of Pinus caribaea mor. var. Hondurensis seedlings to nitrogen, phosphorous and potassium fertilizers by Srivastava, P.B.L., Naruddin, Abang, Zainorin, B.Abang

    Published 1979
    “…For this purpose, seedlings were grown in plastic pots in soils collected from Bahau pine experimental area. These soils belong to Durian series and are generally poor in nutrients. …”
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    Article
  14. 534

    Soil-water characteristic curves of hydrophobic sand by Tan, Nicole Shi Qi

    Published 2022
    “…In this project, the effect of hydrophobicity is investigated using fine and coarse sands. Fine sand was made hydrophobic and mixed with either fine or coarse sand such that sand mixtures of hydrophobicity 20%, 50% and 80% by mass were obtained. …”
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    Final Year Project (FYP)
  15. 535

    Cross-modal size-contrast illusion : acoustic increases in intensity and bandwidth modulate haptic representation of object size by Uesaki, Maiko, Ashida, Hiroshi, Kitaoka, Akiyoshi, Pasqualotto, Achille

    Published 2020
    “…In this study, a series of images each comprising a pair of pine-tree figures were translated into auditory modality using sensory substitution software. …”
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    Journal Article
  16. 536

    Investigation of the contribution of bioaerosol loading to indoor PM pollution on university campus in Singapore by Lee, Brandon Jia Hao

    Published 2022
    “…Fine particles could be mitigated safely for occupants with an electrostatic precipitator and future work could expound on elevated fungi concentrations in an indoor environment and fine particle mitigation strategies.…”
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    Final Year Project (FYP)
  17. 537

    Interpreting learned feedback patterns in large language models by Marks, L, Abdullah, A, Neo, C, Arike, R, Krueger, D, Torr, P, Barez, F

    Published 2024
    “…To test this, we train probes to estimate the feedback signal implicit in the activations of a fine-tuned LLM. We then compare these estimates to the true feedback, measuring how accurate the LFPs are to the fine-tuning feedback. …”
    Conference item
  18. 538

    Genetic algorithm based deep learning model adaptation for improvising the motor imagery classification by R, Vishnupriya, Robinson, Neethu, M, Ramasubba Reddy

    Published 2024
    “…Transfer learning methods such as adaptation or fine-tuning can be used on the pre-trained model to improve the performance. …”
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    Journal Article
  19. 539

    SimSC: a simple framework for semantic correspondence with temperature learning by Li, X, Han, K, Wan, X, Prisacariu, VA

    Published 2023
    “…We discover that when fine-tuning ImageNet pre-trained backbone on the semantic matching task, L2 normalization of the feature map, a standard procedure in feature matching, produces an overly smooth matching distribution and significantly hinders the fine-tuning process. …”
    Conference item
  20. 540

    Field instrumentation for performance assessment of Geobarrier System by Rahardjo, Harianto, Qian, Zhai, Satyanaga, Alfrendo, Leong, Eng Choon, Wang, Chien Looi, Wong, Johnny Liang Heng

    Published 2019
    “…The saturated hydraulic conductivity of a coarse-grained material is normally higher than that of a fine-grained material. However, the unsaturated hydraulic conductivity of the coarse-grained material decreases much faster than that of the fine-grained material with increasing matric suction and consequently the coarse-grained material can be less permeable than the fine-grained material in unsaturated condition. …”
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    Journal Article