Showing 141 - 160 results of 1,037 for search '(((regiments OR sediments) OR regime) OR segment)', query time: 0.18s Refine Results
  1. 141

    Dissolving the segmentation of a shared mobility market: A framework and four market structure designs by Guo, Xiaotong, Qu, Ao, Zhang, Hongmou, Noursalehi, Peyman, Zhao, Jinhua

    Published 2024
    “…We first propose a theoretical framework of shared mobility market segmentation and then propose four market structure designs thereupon. …”
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    Article
  2. 142

    Highly polarized light emission by isotropic quantum dots integrated with magnetically aligned segmented nanowires by Jun, Shinae, Erdem, Talha, Guzelturk, Burak, Perkgöz, Nihan Kosku, Uran, Can, Jang, Eunjoo, Demir, Hilmi Volkan

    Published 2014
    “…In this work, we demonstrate a proof-of-concept system for generating highly polarized light from colloidal quantum dots (QDs) coupled with magnetically aligned segmented Au/Ni/Au nanowires (NWs). Optical characterizations reveal that the optimized QD-NW coupled structures emit highly polarized light with an s-to p-polarization (s/p) contrast as high as 15:1 corresponding to a degree of polarization of 0.88. …”
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    Journal Article
  3. 143

    Multi-path region mining for weakly supervised 3D semantic segmentation on point clouds by Wei, Jiacheng, Lin, Guosheng, Yap, Kim-Hui, Hung, Tzu-Yi, Xie, Lihua

    Published 2020
    “…Existing methods for point cloud segmentation require a large amount of fully labeled data. …”
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    Conference Paper
  4. 144

    Interfacial fracture behavior of double-ceramic-layer thermal barrier coating system with segmented structure by Li, Biao, Fan, Xueling, Wang, Tiejun, Zhou, Kun

    Published 2020
    “…Segmented double-ceramic-layer thermal barrier coating system (DCL-TBCs) is promising for application in next-generation turbines. …”
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    Journal Article
  5. 145

    Automated lesion segmentation and quantification for prediction of paradoxical worsening in patients with tubercular serpiginous-like choroiditis by Kalra, Gagan, Agarwal, Aniruddha, Marchese, Alessandro, Agrawal, Rupesh, Bansal, Reema, Gupta, Vishali

    Published 2022
    “…Automated calculation of lesion metrics such as mean pixel intensity and segmented area in TB SLC is a novel approach with good repeatability in predicting PW during the follow-up.…”
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    Journal Article
  6. 146

    DRD-UNet, a UNet-like architecture for multi-class breast cancer semantic segmentation by Ortega-Ruíz, Mauricio Alberto, Karabağ, Cefa, Roman-Rangel, Edgar, Reyes-Aldasoro, Constantino Carlos

    Published 2024
    “…For cancer diagnosis, these slides are used to recognize tissues and morphological changes. Tissue semantic segmentation is therefore important and at the same time a challenging and time-consuming task. …”
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    Article
  7. 147

    Spherical mask: coarse-to-fine 3D point cloud instance segmentation with spherical representation by Shin, S, Zhou, K, Vankadari, M, Markham, A, Trigoni, N

    Published 2024
    “…Coarse-to-fine 3D instance segmentation methods show weak performances compared to recent Grouping-based, Kernel-based and Transformer-based methods. …”
    Conference item
  8. 148

    TriCoS: a tri-level class-discriminative co-segmentation method for image classification by Chai, Y, Rahtu, E, Lempitsky, V, Van Gool, L, Zisserman, A

    Published 2012
    “…We introduce TriCoS, a new co-segmentation algorithm that looks at all training images jointly and automatically segments out the most class-discriminative foregrounds for each image. …”
    Conference item
  9. 149

    Restoration and segmentation of old Jawi manuscripts using variational image inpainting and active contour models by Laham, Mohamed Faris, Jumaat, Abdul Kadir, Badarul Azam, Amisha Balkis, Maasar, M. A, Badarul Azam, A. S., Mohammad Sabri, Nur Afiqah Sabirah, Yahaya, Amiratul Munirah, Ismail, Ahmad Thaqif, Abdul Razak, Muhammad Anas

    Published 2024
    “…Recently, the Gaussian Regularization Segmentation (GRS) model has shown effectiveness in intensity inhomogeneity grayscale image segmentation, though it was not designed for corrupted OJM images. …”
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    Article
  10. 150

    Occlusion handling for augmented reality environment using neural network image segmentation: A review. by Ahmad, Muhammad Anwar, Mohd. Suaib, Norhaida, Ismail, Ajune Wanis

    Published 2022
    “…Recently, the advancements of handling occlusions for Augmented Reality (AR) introduces neural network-based image segmentation methods. However, it comes with increased computational costs. …”
    Conference or Workshop Item
  11. 151

    Restoration and Segmentation of Old Jawi Manuscripts using Variational Image Inpainting and Active Contour Models by Badarul Azam, Akmal Shafiq, Jumaat, Abdul Kadir, Badarul Azam, Amisha Balkis, Mohammad Sabri, Nur Afiqah Sabirah, Yahaya, Amiratul Munirah, Ismail, Ahmad Thaqif, Abdul Razak, Muhammad Anas, Maasar, Mohd Azdi, Laham, Mohamed Faris

    Published 2024
    “…Recently, the Gaussian Regularization Segmentation (GRS) model has shown effectiveness in intensity inhomogeneity grayscale image segmentation, though it was not designed for corrupted OJM images. …”
    Get full text
    Article
  12. 152
  13. 153

    From private entrepreneurship to state monopoly: contracting Swiss soldiers for Dutch Service under Ancien Régime Fiscal- Military Practices (1693–1829) by Depreter, M

    Published 2024
    “…This contribution examines Dutch contracting practices to hire Swiss troops during the Ancien Régime, from the first contracts directly negotiated in the Protestant cantons by Petrus Valckenier (1693-1694) during the Nine Years’ War, seizing opportunities arisen from Louis XIV’s revocation of the Edict of Nantes (1685) after a period during which the Dutch seem to have relied on uncertain access to Swiss manpower through French intercession, up to the end of a short-lived revival of Swiss foreign regiments in the newly-instated Kingdom of the Netherlands (1814-1829). …”
    Book section
  14. 154
  15. 155

    Cardiovascular magnetic resonance before invasive coronary angiography in suspected non-ST-segment elevation myocardial infarction by Shanmuganathan, M, Nikolaidou, C, Burrage, MK, Borlotti, A, Kotronias, R, Scarsini, R, Banerjee, A, Terentes-Printzios, D, Pitcher, A, Gara, E, Langrish, J, Lucking, A, Choudhury, R, Luigi De Maria, G, Banning, A, Oxford Acute Myocardial Infarction (OxAMI) Study Investigators, Piechnik, SK, Channon, KM, Ferreira, VM

    Published 2024
    “…<p><strong>Background:</strong> In suspected non–ST-segment elevation myocardial infarction (NSTEMI), this presumed diagnosis may not hold true in all cases, particularly in patients with nonobstructive coronary arteries (NOCA). …”
    Journal article
  16. 156
  17. 157
  18. 158

    Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound by Chen, Yiming

    Published 2024
    “…Unfortunately, current segmentation networks like the UNet lack the precision required for clinical adoption in IVUS workflows. …”
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    Thesis
  19. 159
  20. 160

    Emergent semantic segmentation: training-free dense-label-free extraction from vision-language models by Luo, Jiayun

    Published 2024
    “…PnP-OVSS leverages a VLM with direct text-to-image cross-attention and an image-text matching loss to produce semantic segmentation. However, cross-attention alone tends to over-segment, whereas cross-attention plus GradCAM tend to under-segment. …”
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    Thesis-Master by Research