Showing 141 - 160 results of 1,031 for search '((((regimensts OR regimenssts) OR sediments) OR regimes) OR segments)', query time: 0.15s Refine Results
  1. 141

    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. …”
    Get full text
    Journal Article
  2. 142

    Ship emissions accounting in the port of Singapore – a preliminary analysis on the crude oil tanker segment by Tan, Lovine Nin

    Published 2022
    “…It is a preliminary analysis to understand some of the emission patterns generated by this shipping segment. This is completed by using a bottom-up approach using Automatic Identification System data collected in the port. …”
    Get full text
    Final Year Project (FYP)
  3. 143

    Feasibility of bulk shipping investments - investment into the handysize segment with time horizon between 2023 and 2027 by Ang, Chia Chee

    Published 2022
    “…Followed by the factors affecting the revenues and cost of the Handysize segment. Then, the paper will analyse the historical data and market trend of the time charter rate and cost component. …”
    Get full text
    Final Year Project (FYP)
  4. 144

    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.…”
    Get full text
    Journal Article
  5. 145
  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
    “…The histological images were released through the Breast Cancer Semantic Segmentation (BCSS) Challenge. DRD-UNet outperformed the original UNet architecture and 15 other UNet-based architectures on the segmentation of 12,930 image patches extracted from regions of interest that ranged in size between 1036×1222 to 6813×7360 pixels. …”
    Get full text
    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. …”
    Get full text
    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
    “…From the discussions, it is found that the common image segmentation methods comprise of semantic and instance segmentation, with instance segmentation giving more accurate and robust results for tracking objects but with higher 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
  14. 154
  15. 155
  16. 156
  17. 157

    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. …”
    Get full text
    Thesis
  18. 158
  19. 159

    Anterior segment optical coherence tomography angiography following trabecular bypass minimally invasive glaucoma surgery by Gan, Jinyuan, Sng, Chelvin C. A., Ke, Mengyuan, Chieh, Chew Shi, Tan, Bingyao, Schmetterer, Leopold, Ang, Marcus

    Published 2022
    “…To assess anterior segment optical coherence tomography angiography (AS-OCTA) imaging of the episcleral vessels before and after trabecular bypass minimally invasive glaucoma surgery (MIGS).…”
    Get full text
    Journal Article
  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. …”
    Get full text
    Thesis-Master by Research