Showing 421 - 440 results of 583 for search '((spinnae OR hinges) OR ((((espinga OR ssping) OR sspinal) OR ((pina OR ann) OR pingao)) OR pin))', query time: 0.17s Refine Results
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    Exploring the stability and dynamics of nanobubbles by Tan, Beng Hau

    Published 2017
    “…These nanobubbles appear not to be stabilised by the line pinning or oversaturation that sustain surface nanobubbles. …”
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    Thesis
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    Application of artificial neural networks to predict the compressive strength of rubberized concrete: a review by Seyed Hakima, Seyed Jamalaldin, Omar, Abdinasir Mukhtar, A Khalifa, Nasradeen, Shahidan, Shahiron, Jamaluddin, Norwati, Alshalif, Abdullah Faisal

    Published 2024
    “…From this review, predicting the compressive strength of rubberized concrete by ANNs is generally more accurate, and their development is inexpensive and time-saving. …”
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    Conference or Workshop Item
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    Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements by Metherall, B, Berryman, AK, Brennan, GS

    Published 2025
    “…Our results reveal RF achieves superior accuracy (92.5%) in at-home CKD classification over ANNs (82.9%). ANNs achieve a higher TPR (92.0%), but a lower TNR (67.9%) compared with RFs (90.0% and 95.8%, respectively). …”
    Journal article
  8. 428

    Effect of dopant solubility and excess doping on the superconducting properties of doped Nb3Sn prepared by field assisted sintering technique by Srivastava, N, Matthews, GAB, Liu, J, Speller, SC, Grovenor, CRM, Santra, S

    Published 2024
    “…The Y<sub>2</sub>O<sub>3</sub>&nbsp;particles was also considered as a possible cause of pinning down of grain boundaries in addition to NbO leading to grain refinement through Zener pinning. …”
    Journal article
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    Development of Adaptive Neuro-Fuzzy Inference System to Predict Concrete Compressive Strength by Seyed Hakim, Seyed Jamaldin, Jamaludin, Norwati, Heng Boon, Koh, Mokhtar, Shahrul Niza, Ali Khalifa, Nasradeen, Jamellodin, Zalipah

    Published 2024
    “…ANFIS has the advantages of both ANNs and fuzzy systems and is most suitable in engineering complicated applications. …”
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    Conference or Workshop Item
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    Spintronics devices for neuromorphic computing by Tang, Shawn Zhen Kee

    Published 2020
    “…To solve this, we discuss the possibility of using a geometrically pinned magnetic domain wall memory device that utilises anti-notches for pinning, as the free layer of an MTJ, for future use in a three-terminal MRAM. …”
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    Final Year Project (FYP)
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