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  1. 13681
  2. 13682

    Web-Based File Sharing System: A Case Study of Kabale University. by Akandinda, Abraham

    Published 2023
    “…Future File Sharing systems should be computer-based, multimedia systems capable of including free text, high-resolution images, sound, full-motion video, and elaborate coding schemes. …”
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    Thesis
  3. 13683

    Enhancing Attendance Management Through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery. by Taremwa, Benjamin

    Published 2024
    “…Despite the system’s effectiveness, future research should explore improvements in image quality across diverse environments and investigate other biometric methods to enhance security.The findings of this study suggest that face recognition-based attendance systems have the potential to revolutionize attendance management not only in education but also in other sectors where identity verification is critical, such as healthcare and corporate environments. …”
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    Thesis
  4. 13684

    Assessing and Enhancing Green Quantity in the Open Spaces of High-Density Cities: A Comparative Study of the Macau Peninsula and Monaco by Jitai Li, Fan Lin, Yile Chen, Shuai Yang

    Published 2025-01-01
    “…Using satellite remote-sensing maps, GIS databases, and street-view images, this study evaluates the current green quantity in both regions and compares them to identify best practices. …”
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    Article
  5. 13685

    Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing by Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel

    Published 2025-01-01
    “…Our goal is to develop and explain predictive models for these crops, using a large dataset of satellite images, additional data modalities, and crop yield maps. …”
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    Article
  6. 13686

    Technical Report on the New Ultrasound Lateral Mid-Shaft Approach to the Sciatic Nerve: A Never-Ending Story by Giuseppe Sepolvere, Mario Tedesco, Mario Cibelli, Dario Cirillo, Angelo Sparaco, Giuseppe Gagliardi, Giuseppina Costagliola, Loredana Cristiano, Valeria Rita Scialdone, Maria Rosaria Pasquariello, Fabrizio Di Zazzo, Luigi Merola, Mirco Della Valle, Daniela Arminio, Leonardo Maria Bottazzo, Marco Folliero, Giorgio Ranieri, Domenico Pietro Santonastaso, Antonio Coviello

    Published 2025-01-01
    “…The ultrasound lateral mid-shaft technique appears to be a safe and effective method for performing a sciatic nerve block, even in obese patients with significant subcutaneous fat and unclear ultrasound images. This approach is particularly beneficial given the various anatomical variations that can occur. …”
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    Article
  7. 13687

    Automated Defect Detection through Flaw Grading in Non-Destructive Testing Digital X-ray Radiography by Bata Hena, Gabriel Ramos, Clemente Ibarra-Castanedo, Xavier Maldague

    Published 2024-10-01
    “…Guided by ASTM 2973-15; Standard Digital Reference Images for Inspection of Aluminum and Magnesium Die Castings, a grading pipeline utilizing K-D (k-dimensional) trees was developed to effectively structure detected flaws, enabling the system to make decisions based on acceptable grading terms. …”
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    Article
  8. 13688

    A Novel Fluorescent Chemosensor Based on Rhodamine Schiff Base: Synthesis, Photophysical, Computational and Bioimaging Application in Live Cells by Oyedoyin Aduroja, Roosevelt Shaw, Sisay Uota, Isaac Abiye, James Wachira, Fasil Abebe

    Published 2024-12-01
    “…The probe <b>RdN</b> was applied to the image of Pb<sup>2+</sup> and Cu<sup>2+</sup> ions in living cells and is safe for biomedical applications. …”
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    Article
  9. 13689

    Comparison of optical coherence tomography vs. fluorescein angiography-based macular neovascularization classifications in age-related macular degeneration by Gábor G. Deák, Klaudia Birner, Bianca S. Gerendas, Georgios Mylonas, Günther Weigert, Martin Michl, Irene Steiner, Ursula M. Schmidt-Erfurth

    Published 2025-02-01
    “…We analyzed baseline FA and OCT images from 704 eyes of neovascular AMD patients across two multicenter trials, with grading conducted at the Vienna Reading Center. …”
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    Article
  10. 13690

    YOLOv8-CBAM: a study of sheep head identification in Ujumqin sheep by Qing Qin, Qing Qin, Qing Qin, Xingyu Zhou, Xingyu Zhou, Xingyu Zhou, Jiale Gao, Jiale Gao, Jiale Gao, Zhixin Wang, A. Naer, Long Hai, Suhe Alatan, Haijun Zhang, Zhihong Liu, Zhihong Liu, Zhihong Liu

    Published 2025-02-01
    “…IntroductionThe facial coloration of sheep is not only a critical characteristic for breed and individual identification but also serves as a significant indicator for assessing genetic diversity and guiding selective breeding efforts.MethodsIn this study, 201 Ujumqin sheep were used as research objects and 1713 head image data were collected. We delineated feature points related to the facial coloration of Ujumqin sheep and successfully developed a head color recognition model (YOLOv8-CBAM) utilizing the YOLOv8 architecture in conjunction with the CBAM attention mechanism.ResultsThe model demonstrated impressive performance in recognizing four head color categories, achieving an average precision (mAP) of 97.7% and an F1 score of 0.94. …”
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    Article
  11. 13691

    Linking Endotoxins, African Dust PM10 and Asthma in an Urban and Rural Environment of Puerto Rico by Mario G. Ortiz-Martínez, Rosa I. Rodríguez-Cotto, Mónica A. Ortiz-Rivera, Cedric W. Pluguez-Turull, Braulio D. Jiménez-Vélez

    Published 2015-01-01
    “…A retrospective data analysis (PM10 concentration, aerosol images, and pediatric asthma claims) was performed from 2000 to 2012 with particular emphasis in 2004 to classify PM samples. …”
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    Article
  12. 13692

    Comprehensive Overview - Outcomes and Challenges of Bariatric Surgery - Physical, Psychological and Nutritional Considerations by Katarzyna Doman, Dawid Komada, Kamil Hermanowicz, Daria Oleksy, Agnieszka Najdek, Urszula Kaczmarska, Aleksandra Woźniak, Marcin Mycyk, Julia Nowak, Michał Jakub Cioch

    Published 2025-02-01
    “…Post-bariatric surgery patients may face psychological challenges such as emotional dysregulation, eating disorders like loss of control eating or binge eating, and body image concerns related to excess skin. This article explores the various impacts of bariatric surgery, addressing both physical and psychological challenges. …”
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    Article
  13. 13693

    Rapid and non-destructive classification of rice seeds with different flavors: an approach based on HPFasterNet by Helong Yu, Helong Yu, Zhenyang Chen, Shaozhong Song, Shaozhong Song, Shaozhong Song, Chunyan Qi, Junling Liu, Chenglin Yang

    Published 2025-01-01
    “…In this experiment, 19 categories of japonica rice seeds were selected, and a total of 36735 images were finally obtained. The lightweight network High Precision FasterNet (HPFasterNet) proposed in this study combines the Ghost bottleneck and FasterNet_T0 and introduces group convolution to compare the model performance. …”
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    Article
  14. 13694

    Creep Characteristics of Different Saturated States of Red Sandstone after Freeze-Thaw Cycles by Yongxin Che, Yongjun Song, Jianxi Ren, Jiaxing Chen, Xixi Guo, Hao Tan, Mengling Hu

    Published 2021-01-01
    “…It can be seen from the SEM image that the number of pores inside the rock samples gradually increases with increases in saturation, leading to the appearance of cracks. …”
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    Article
  15. 13695

    BMNet: Enhancing Deepfake Detection Through BiLSTM and Multi-Head Self-Attention Mechanism by Demao Xiong, Zhan Wen, Cheng Zhang, Dehao Ren, Wenzao Li

    Published 2025-01-01
    “…By leveraging the Bi-Directional Long Short-Term Memory Network (BiLSTM) for modeling temporal dependencies between video frames, and the Multi-Head Self-Attention Mechanism (MHSA) for capturing features from different regions of an image, BMNet more effectively identifies dynamic and local forgery features. …”
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    Article
  16. 13696

    Normalized difference vegetation index prediction using reservoir computing and pretrained language models by John Olamofe, Ram Ray, Xishuang Dong, Lijun Qian

    Published 2025-03-01
    “…In this study, we examined plant health prediction through the Normalized Difference Vegetation Index (NDVI) calculated from satellite image derived reflectance values in the near-infrared and red spectra. …”
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    Article
  17. 13697

    OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Michael Kalloniatis, Erik Meijering

    Published 2025-01-01
    “…To address the issue, this study uses optical coherence tomography (OCT) images to develop an explainable artificial intelligence (XAI) tool for diagnosing and staging glaucoma, with a focus on its clinical applicability. …”
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    Article
  18. 13698

    Understanding role of cadmium substitution on the structural, microstructural, transport properties of ferrites synthesized by different methods by Kulkarni Akshay B., Mathad Shridhar N., Manohara S.R., Deshpande Sandeep M., Kulkarni Kajal A., Mane Vaishali

    Published 2024-01-01
    “…The XRD confirms the cubic spinel structure of all the samples. The SEM images show the agglomeration of particles observed to be increasing with increase in Cd doping. …”
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    Article
  19. 13699

    Magnesium Oxide Nanoparticles Reinforced Electrospun Alginate-Based Nanofibrous Scaffolds with Improved Physical Properties by R. T. De Silva, M. M. M. G. P. G. Mantilaka, K. L. Goh, S. P. Ratnayake, G. A. J. Amaratunga, K. M. Nalin de Silva

    Published 2017-01-01
    “…Alginate-based nanofibres were electrospun from an alginate/poly(vinyl alcohol) (PVA) polyelectrolyte complex. SEM images revealed the spinnability of the complex composite nanofibrous scaffolds, showing randomly oriented, ultrafine, and virtually defects-free alginate-based/MgO nanofibrous scaffolds. …”
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    Article
  20. 13700

    Fine-scale forest classification with multi-temporal sentinel-1/2 imagery using a temporal convolutional neural network by Rongfei Duan, Chunlin Huang, Peng Dou, Jinliang Hou, Ying Zhang, Juan Gu

    Published 2025-12-01
    “…Spectral, SAR, temporal, and geographic features were extracted from Sentinel-1/2 images to capture spectral differences and phenological characteristics of vegetation. …”
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    Article