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fermentation » fragmentation (Expand Search), orientation (Expand Search), augmentation (Expand Search)
fermentation » fragmentation (Expand Search), orientation (Expand Search), augmentation (Expand Search)
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Dissolving the segmentation of a shared mobility market: A framework and four market structure designs
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 -
103
Highly polarized light emission by isotropic quantum dots integrated with magnetically aligned segmented nanowires
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 -
104
Multi-path region mining for weakly supervised 3D semantic segmentation on point clouds
Published 2020“…Existing methods for point cloud segmentation require a large amount of fully labeled data. …”
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Conference Paper -
105
Interfacial fracture behavior of double-ceramic-layer thermal barrier coating system with segmented structure
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 -
106
Ship emissions accounting in the port of Singapore – a preliminary analysis on the crude oil tanker segment
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. …”
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Final Year Project (FYP) -
107
Feasibility of bulk shipping investments - investment into the handysize segment with time horizon between 2023 and 2027
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. …”
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Final Year Project (FYP) -
108
Automated lesion segmentation and quantification for prediction of paradoxical worsening in patients with tubercular serpiginous-like choroiditis
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 -
109
Pseudomonas aeruginosa microcolonies in coronary thrombi from patients with ST-segment elevation myocardial infarction
Published 2018Subjects: “…ST Segment Elevation Myocardial Infarction…”
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Journal Article -
110
DRD-UNet, a UNet-like architecture for multi-class breast cancer semantic segmentation
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. …”
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111
Spherical mask: coarse-to-fine 3D point cloud instance segmentation with spherical representation
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 -
112
TriCoS: a tri-level class-discriminative co-segmentation method for image classification
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 -
113
Restoration and segmentation of old Jawi manuscripts using variational image inpainting and active contour models
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 -
114
Occlusion handling for augmented reality environment using neural network image segmentation: A review.
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 -
115
Restoration and Segmentation of Old Jawi Manuscripts using Variational Image Inpainting and Active Contour Models
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 -
116
Evaluating the potential of stabilised betacyanins from fermented red dragon fruit (Hylocereus polyrhizus) drink: sustainable colouration and antioxidant enhancement of stirred yoghurt
Published 2024“…This study aimed to evaluate the potential of a functional fruit drink, Improved-FRDFD-dH2O [contained betacyanins of fermented red dragon fruit drink stabilised by 0.4 % xanthan gum and 0.5 % carboxymethyl cellulose hydrocolloid mixture solution and 0.2 % citric acid] to serve as a sustainable and stable functional liquid colourant in yoghurt. …”
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Article -
117
Contextual object detection with multimodal large language models
Published 2024Subjects: Get full text
Journal Article -
118
Spatial fuzzy c-mean sobel algorithm with grey wolf optimizer for MRI brain image segmentation /
Published 2017software, multimedia -
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Spatial fuzzy c-mean sobel algorithm with grey wolf optimizer for MRI brain image segmentation /
Published 2017software, multimedia -
120
Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound
Published 2024“…Unfortunately, current segmentation networks like the UNet lack the precision required for clinical adoption in IVUS workflows. …”
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Thesis