Showing 161 - 180 results of 3,264 for search '((regiments OR ((regimes OR (segmental OR regional)) OR sediment)) OR regime)', query time: 0.18s Refine Results
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    Draft genome sequence of Enterobacter sp. strain EA-1, an electrochemically active microorganism isolated from tropical sediment by Rice, Scott A., Marsili, Enrico, Lauro, Federico M., Doyle, Lucinda Elizabeth, Williams, Rohan Benjamin Hugh

    Published 2019
    “…EA-1 is an electrochemically-active bacterium isolated from tropical sediment in Singapore. Here, the annotated draft genome assembly is reported. …”
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    Journal Article
  4. 164

    A study on Stevedoring companies and their operations in Singapore : break bulk shipping segment by Ng, Donovan Chun Hong

    Published 2018
    “…The Port of Singapore is positioned as a premium global hub port in the Southeast Asia region. Besides its core involvement in container transhipment, Singapore also has a leading multipurpose port, handling break bulk and project cargos that were and will continue to be essential for the ever growing and changing industry in the nation. …”
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    Final Year Project (FYP)
  5. 165

    Optimum transmitter current distribution for dynamic wireless power transfer with segmented array by Jayathurathnage, Prasad Kumara Sampath, Alphones, Arokiaswami, Vilathgamuwa, D. Mahinda, Ong, Andrew

    Published 2020
    “…The misalignment problem is a major challenge in dynamic wireless power transfer systems with a segmented transmitter (Tx) array. Tx coils farther away from receiver (Rx) experience higher currents as compared to Tx coils nearer to Rx coil leading to higher losses and lower performances. …”
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    Journal Article
  6. 166

    Dual attention deep learning network for automatic steel surface defect segmentation by Pan, Yue, Zhang, Limao

    Published 2022
    “…Experimental results show that, compared with other deep learning models, DAN-DeepLabv3+ based on the Xception backbone exhibits the best segmentation performance under the mean intersection over union (IoU) of 89.95% and the frequency-weighted IoU of 97.34%. …”
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    Journal Article
  7. 167

    Hybrid UNet transformer architecture for ischemic stoke segmentation with MRI and CT datasets by Soh, Wei Kwek, Rajapakse, Jagath Chandana

    Published 2024
    “…HUT achieves higher Dice scores and reduced Hausdorff Distance scores in single-modality and multi-modality lesion segmentation. HUT outperforms the state-the-art network SPiN in the single-modality MRI segmentation on Anatomical Tracings of lesion After Stroke (ATLAS) dataset by 4.84% of Dice score and a large margin of 40.7% in the Hausdorff Distance score. …”
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    Journal Article
  8. 168

    Automated detection and segmentation of vertebral bodies in volumetric abdominal magnetic resonance images by Lin, Dehui.

    Published 2012
    “…Detection and segmentation of the column of vertebral bodies are intermediate steps required to identify the bone marrow which is considered as the wrongly labeled visceral adipose tissue in the assessment of abdominal obesity. …”
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    Final Year Project (FYP)
  9. 169

    Automatic segmentation of the choroid in enhanced depth imaging optical coherence tomography images by Tian, Jing, Marziliano, Pina, Baskaran, Mani, Tun, Tin Aung, Aung, Tin

    Published 2013
    “…This labeling process is tedious and subjective of inter-observer differences, hence, automatic segmentation of the choroid layer is highly desirable. …”
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    Journal Article
  10. 170

    Fast and accurate detection of Identical-By-Descent segment sharing in large genomic datasets by Saada, J

    Published 2019
    “…We introduce the basics of coalescent theory to understand IBD segments detection and then pro- vide an overview of a state-of-the art methods for detecting IBD segments, comparing the most commonly used and recent existing methods. …”
    Thesis
  11. 171

    Rethinking semi-supervised medical image segmentation: a variance-reduction perspective by You, C, Dai, W, Min, Y, Liu, F, Clifton, DA, Zhou, SK, Staib, L, Duncan, JS

    Published 2023
    “…For medical image segmentation, contrastive learning is the dominant practice to improve the quality of visual representations by contrasting semantically similar and dissimilar pairs of samples. …”
    Conference item
  12. 172

    OpenOFM: an open-source implementation of the multi-segment Oxford Foot Model by Dixon, P, Drew, E, McBride, S, Harrington, M, Stebbins, J, Zavatsky, A

    Published 2025
    “…Evaluation was conducted using the normalised root mean square error (NRMSE) between the inter-segment angles and arch heights of both implementations. …”
    Journal article
  13. 173

    BiCoS: a bi-level co-segmentation method for image classification by Chai, Y, Lempitsky, V, Zisserman, A

    Published 2012
    “…The objective of this paper is the unsupervised segmentation of image training sets into foreground and background in order to improve image classification performance. …”
    Conference item
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    Constructing Convex Inner Approximations of Steady-State Security Regions by Nguyen, Hung D., Dvijotham, Krishnamurthy, Turitsyn, Konstantin

    Published 2024
    “…It establishes a certificate for the self-mapping of a polytope region constructed around a given feasible operating point. …”
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    Article
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