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  1. 5061

    Spatiotemporal Video Denoising Based on Adaptive Thresholding and Clustering by Ali Abdullah Yahya, Jieqing Tan, Benyu Su, Kui Liu, Ali Naser Hadi

    Published 2017-01-01
    “…Consequently, we can successfully remove the noise effectively and at the same time preserve the edges of the image, because the clustering approach saves more computation time and is more capable of finding relevant patches than the block-matching approach. …”
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  2. 5062

    Use of Mechanical Turk as a MapReduce Framework for Macular OCT Segmentation by Aaron Y. Lee, Cecilia S. Lee, Pearse A. Keane, Adnan Tufail

    Published 2016-01-01
    “…Each Human Intelligence Task was set to $0.01 and required the user to draw five lines to outline the sublayers of the retinal OCT image after being shown example images. Each image was submitted twice for segmentation, and interrater reliability was calculated. …”
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  3. 5063

    Detection and Adaptive Video Processing of Hyperopia Scene in Sports Video by Qingjie Chen, Minkai Dong

    Published 2021-01-01
    “…By introducing the mathematical model of image processing, the traditional motion detection algorithm is improved and the improved motion detection algorithm is implemented in the system. …”
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  4. 5064
  5. 5065

    Conditional diffusion-generated super-resolution for myocardial perfusion MRI by Changyu Sun, Changyu Sun, Neha Goyal, Yu Wang, Darla L. Tharp, Senthil Kumar, Talissa A. Altes

    Published 2025-01-01
    “…The forward diffusion process introduces Gaussian noise incrementally, while the reverse process employs a U-Net architecture to progressively denoise the images, conditioned on the low-resolution input image.ResultsWe trained and validated the model on a retrospective dataset of dynamic contrast-enhanced (DCE) perfusion MRI, consisting of both stress and rest images from 47 patients with heart disease. …”
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  6. 5066

    Rusførebygging i skulen som diskursivt forma pedagogisk-politisk fenomen. Eit teoretisk-empirisk bidrag til omgrepsutvikling by Øyvind Wiik Halvorsen, Liv Eide, Olin Blaalid Oldeide

    Published 2025-01-01
    “…Three discourses are identified: the controlled student (Dionysian image: children and youths are born wild, prevention technology: discipline), the included student (Apollonian image: children and youths are naturally good, prevention technology: establishing communities for growth and belonging), and the enlightened student (Athenian image: children and youths are naturally rational, prevention technology: communicating balanced information). …”
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  7. 5067
  8. 5068

    Event Marketing Model in the Industrial Markets by Abolfazl khosravi, Mohammad Hosein Yarahmadzehi, Mohammad Mahdieh Najafabadi, Maysam Shafiee, Zohreh Alizadeh Yazdi

    Published 2024-12-01
    “…The results show that the information exchange and event involvement are the most important event-driven, the image and lasting experience of the event are the most important dimensions, and increasing the loyalty and improve the quality of relationships are the most important achievements of event marketing in industrial markets. …”
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  9. 5069

    Implementasi Color Quantization pada Kompresi Citra Digital dengan Menggunakan Model Clustering Berdasarkan Nilai Max Variance pada Ruang Warna RGB by Tommy Tommy, Rosyidah Siregar, Andi Marwan Elhanafi, Imran Lubis

    Published 2021-11-01
    “…Sedangkan rasio kompresi yang diperoleh adalah sebesar 1.44 sampai 2.09 pada kuantisasi 8bpp dan 2.87 sampai 4.23 pada kuantisasi 4bpp.   Abstract Image compression can be done by using color quantization where by reducing the number of colors contained in the image it can reduce the number of bits used to represent the colors. …”
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  10. 5070

    The Value of Combined Radial Endobronchial Ultrasound-Guided Transbronchial Lung Biopsy and Metagenomic Next-Generation Sequencing for Peripheral Pulmonary Infectious Lesions by Guangsheng Li, Jie Huang, Yuechuan Li, Jing Feng

    Published 2020-01-01
    “…Nevertheless, the presence of anechoic and luminant areas on ultrasonic image was correlated with poor mNGS positivity rate.…”
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  11. 5071

    THE STRUCTURE OF HAPPINESS REPRESENTATION FOR RUSSIAN AND AMERICAN REPRESENTATIVES by S. Yu. Zhdanova, A. V. Pecherkina, A. A. Strokanov

    Published 2017-09-01
    “…However, the diagnostic tools used in such studies are based primarily on the model of happiness image that has been developed in American psychology. …”
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  12. 5072

    After the Dance d’Edwidge Danticat : visions carnavalesques de l’espace haïtien by Corinne Duboin

    Published 2008-05-01
    “…In my analysis of Edwidge Danticat’s travelogue, I will explore the Haitian American writer’s treatment of the carnivalesque in both her representation of her native land (its geography, history and culture) and her apprehension of a new self-image.…”
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  13. 5073

    ASSESSMENT OF MISTAKES OF AN OPERATOR AT QUANTITATIVE ANALYSIS OF STRUCTURE BY COMPU- TER METHODS by A. G. Anisovich, A. V. Basalaj

    Published 2012-11-01
    “…Mistakes of an operator at quantitative analysis of microstructure at working in the program of images processing Image SP are considered. The mistake arising at the stage of creation of the calibration table of increases is defined.…”
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  14. 5074

    AUTOMATED DETERMINATION OF THE CRYSTALS SIZE IN ELECTRODEPOSITED METAL MATERIALS by E. V. Kolesnik

    Published 2014-11-01
    “…Methods of automated determination of the crystals size in the electrodeposited metal materials including digital processing of the electronicand microscopic image of the structure with sequential use of the low-and-high-leaky filter based on fast transformation of Fourier, Watershed-algorithm and decomposing of Voronoj with further measurement of thr crystal size with one of the traditional methods is offered.…”
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  15. 5075

    Two dimensional Laplace transforms of generalized hypergeometric functions by R. S. Dahiya, I. H. Jowhar

    Published 1988-01-01
    “…The object of this paper is to obtain new operational relations between the original and the image functions that involve generalized hypergeometric G-functions.…”
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  16. 5076

    A segmentation method for LiDAR point clouds of aerial slender targets by Birong Huang, Zilong Wang, Jianhua Chen, Bingyang Zhou, Hao Ma

    Published 2025-01-01
    “…Unmanned aerial vehicles (UAV) can sense the surrounding environment through LiDAR and image sensors to make autonomous flight decisions. …”
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  17. 5077

    A practical guide to the starch granules’ morphology study by microscopy by V. K. Khlestkin, T. V. Erst

    Published 2017-11-01
    “…It includes an isolation of starch from the tuber (stage 1), the preparation of mi-crographs of starch samples (stage 2), processing and analysis of the images obtained in the freely distributed ImageJ program (stage 3), and the construction of distribution curve for starch granules by geometric parameters (stage 4). …”
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  18. 5078

    Spherical harmonics texture extraction for versatile analysis of biological objects. by Oane Gros, Josiah B Passmore, Noa O Borst, Dominik Kutra, Wilco Nijenhuis, Timothy Fuqua, Lukas C Kapitein, Justin M Crocker, Anna Kreshuk, Simone Köhler

    Published 2025-01-01
    “…The characterization of phenotypes in cells or organisms from microscopy data largely depends on differences in the spatial distribution of image intensity. Multiple methods exist for quantifying the intensity distribution - or image texture - across objects in natural images. …”
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  19. 5079

    Intelligent recognition algorithm of connection relation of substation secondary wiring drawing based on D-LLE algorithm by Hongzhi Liu, Bojie Yang, Fang Kang, Qian Li, Hongyang Zhang

    Published 2024-12-01
    “…The composition of the substation secondary layout diagram is analyzed, and the connection relationship feature image is preprocessed, including smoothing and contrast enhancement, to improve the image quality. …”
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  20. 5080

    Vision Transformer untuk Klasifikasi Kematangan Pisang by Arya Pangestu, Bedy Purnama, Risnandar Risnandar

    Published 2024-02-01
    “…Penelitian dilakukan dengan menggunakan lima model ViT yang sudah dilatih sebelumnya atau pre-trained, yaitu ViT-B/16, ViT-B/32, ViT-L/16, ViT-L/32, and ViT-H/14 pada ImageNet-21k dan ImageNet-1k. Kemudian, model ViT tersebut dievaluasi dan dibandingkan dengan model CNN. …”
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