Showing 2,721 - 2,740 results of 8,392 for search '((((beers OR peers) OR ((beans OR beads) OR means)) OR bees) OR (beennr OR bee))*', query time: 0.18s Refine Results
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  3. 2723

    Nanyang Technological University indoor map by Tsui, Chung Lok

    Published 2020
    “…Overall, the indoor map achieved a rating of 4.23 out of 5, meaning that participants were satisfied with the map. …”
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    Final Year Project (FYP)
  4. 2724

    Concept-level sentiment analysis in the manufacturing industry by Teng, He Xu

    Published 2020
    “…It involves knowledge extraction from the AME industry domain, understands and process the meaning of domain specific terms and normally used terms by applying Nature Language Processing(NLP) techniques. …”
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    Final Year Project (FYP)
  5. 2725

    Image retrieval with deep learning by Tan, Joe Chin Yong

    Published 2017
    “…The features of the pristine image database are first extracted, then retrieval is performed using pristine query images to the database to attain the baseline mean average precision (mAP). The query images are distorted with the 3 methods mentioned with different values of sigma, variance and quality. …”
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    Final Year Project (FYP)
  6. 2726

    Study on effects of surface albedo on outdoor environment using actual scale models by Lim, Zheng Wei

    Published 2019
    “…Building these infrastructures mean forests have to pave the way for them. A reduction in vegetation, coupled with tall buildings also leads to a fall in wind ventilation. …”
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    Final Year Project (FYP)
  7. 2727

    Predictive validity of the Oxford digital multiple errands test (OxMET) for functional outcomes after stroke by Webb, SS, Demeyere, N

    Published 2023
    “…Participants were followed up after 6-months and completed the Nottingham Extended Activities of Daily Living (NEADL) scale. 117 participants were recruited (M = 26.18 days post-stroke (SD = 25.16), mean 74.44yrs (SD  = 12.88), median NIHSS 8.32 (IQR = 5-11)). …”
    Journal article
  8. 2728

    Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements by Metherall, B, Berryman, AK, Brennan, GS

    Published 2025
    “…Using 10-fold cross-validation, we calculate metrics such as accuracy, true positive rate (TPR), true negative rate (TNR), and mean squared error. Our results reveal RF achieves superior accuracy (92.5%) in at-home CKD classification over ANNs (82.9%). …”
    Journal article
  9. 2729

    Making and remaking the home ‘at home’ in Shanghai in the time of COVID-19 by Xiao, L

    Published 2024
    “…It is through the making, remaking, and even unmaking of the home within specific circumstances that individuals construct their own personal meanings associated with it. This thesis also emphasises the co-constitutive relationships between people and the material or immaterial environment of their domestic space. …”
    Thesis
  10. 2730

    Shale oil in Russia – commercial catalyst required by Henderson, J

    Published 2014
    “…These prospects are relatively long term, however, with major increases in oil production unlikely for a decade or more, meaning that a medium-term solution still needs to be found. …”
    Journal article
  11. 2731

    Fragmented and fitful: India’s energy diplomacy by Chaudhuri, PP

    Published 2015
    “…Strong populist traditions also mean that there is an entrenched policy of fuel subsidies and energy price controls which has led to chronic underinvestment in power infrastructure and technology. …”
    Journal article
  12. 2732

    Experimental heatwaves facilitate invasion and alter species interactions and composition in a tropical host‐parasitoid community by Chen, J, Lewis, O

    Published 2023
    “…As mean temperatures increase and heatwaves become more frequent, species are expanding their distributions to colonise new habitats. …”
    Journal article
  13. 2733

    Looking deep at people: towards understanding and generating humans in images with deep learning by de Bem, RA

    Published 2018
    “…The main contributions are: </p> <p>i) A deep learning framework for 2D human pose estimation, which allows for mean-field inference over part-based models; </p> <p>ii) A conditional deep generative model that achieves state-of-the-art results on generating images of humans conditioned on body posture; and </p> <p>iii) A structured semi-supervised deep generative model that jointly performs pose estimation and image generation, <em>understanding</em> and <em>generating</em> people in images in a single framework.…”
    Thesis
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