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    Agricultural Text Classification Method Based on ERNIE 2.0 and Multi-Feature Dynamic Fusion by Xuliang Duan, Yuhai Liu, Zhenjia You, Zhiyao Li

    Published 2025-01-01
    “…Under the rapid development of agricultural information technology, there has been an explosive growth in agricultural Q&A texts on the Internet, making the accurate classification of these texts a critical research topic in this field. …”
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  3. 1823

    Towards Real-Time Spatial Distance Monitoring of Power Transmission Lines Using LiDAR Point Clouds and Visual Imaging by Li Zhendong, Wang Feiran, Han Geng, Guo Xinyang, Shi Zhaoyang

    Published 2025-08-01
    “…METHODS: Combining geometric information (LiDAR) and visual features (images) with an optimized RandLA-Net architecture allows for accurate, real-time infrastructure features and hazard detection in dense or cluttered scenarios. …”
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    New Marxian Times! Reflections on the 4th ICTs and Society Conference “Critique, Democracy and Philosophy in 21st Century Information Society. Towards Critical Theories of Social M... by Christian Fuchs

    Published 2012-05-01
    “…The conference was financially supported by the Swedish Research Council and organised by Uppsala University’s Department of Informatics and Media, the ICTs and Society Network (http://www.icts-and-society.net), the European Sociological Association’s Research Network 18: Sociology of Communications and Media Research (http://www.europeansociology.org/research-networks/rn18-sociology-of-communications-and-media-research.html), tripleC – Open Access Journal for a Global Sustainable Information Society (http://www.triple-c.at), the Unified Theory of Information Research Group (UTI), Aarhus University’s Department of Information and Media Studies, the Vienna University of Technology’s Institute for Design & Assessment of Technology, and Jönköping University’s  School of Education and Communication. …”
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  8. 1828

    Deep learning based bio-metric authentication system using a high temporal/frequency resolution transform by Sajjad Maleki Lonbar, Akram Beigi, Nasour Bagheri, Nasour Bagheri, Pedro Peris-Lopez, Carmen Camara

    Published 2024-12-01
    “…Each image captures unique cardiac signal information of the individual, ensuring distinction in a noise-free environment. …”
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    Evolution of the Soil Bacterial Community as a Function of Crop Management: A Metagenomic Study in Orange Tree (<i>Citrus sinensis</i>) Plantations by Carlos Giménez-Valero, Alejandro Andy Maciá-Vázquez, Dámaris Núñez-Gómez, Agustín Conesa, Vicente Lidón, Pablo Melgarejo

    Published 2025-06-01
    “…In semi-arid regions, water efficiency strategies like anti-weed netting are implemented, but their impact on soil microbial communities remains underexplored. …”
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    Overcoming practical challenges to pilot Sierra Leone’s first school-based distribution of piperonyl butoxide-synergist ITNs: findings from a 2023 assessment in Kono district by Keith Esch, Fredrick Yamba, Kevin Opondo, Musa Sillah-Kanu, David Schnabel, Prince Owusu, Raymond Sudoi, Malia Skjefte, Wani Lahai, Mohamed G. Sheku, Mariama Kabba Jibatteh, Augustine Ngegbe, Jenny Carlson, Temitayo Labor, Djenam Jacob, Charlene Youseff, Elisabeth Tyler, Prince Nallo, Dennis Marke, Stephen Poyer

    Published 2025-05-01
    “…Abstract Background Continuous distribution of insecticide treated nets (ITNs) through schools is increasingly utilized by National Malaria Programmes across sub-Saharan Africa to maintain coverage between three-year mass distribution campaigns. …”
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    FFLKCDNet: First Fusion Large-Kernel Change Detection Network for High-Resolution Remote Sensing Images by Bochao Chen, Yapeng Wang, Xu Yang, Xiaochen Yuan, Sio Kei Im

    Published 2025-02-01
    “…FFLKCDNet features a Bi-temporal Feature Fusion Module (BFFM) to fuse remote sensing features from different temporal scales, and an improved ResNet network (RAResNet) that combines large-kernel convolution and multi-attention mechanisms to enhance feature extraction. …”
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    Enhancing medical image classification via federated learning and pre-trained model by Parvathaneni Naga Srinivasu, G. Jaya Lakshmi, Sujatha Canavoy Narahari, Jana Shafi, Jaeyoung Choi, Muhammad Fazal Ijaz

    Published 2024-09-01
    “…However, the potential privacy concerns that arise from sharing confidential patient information to train traditional centralized machine learning models cannot be ignored. …”
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