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  1. 1241

    ANALYSIS AND CONCEPTION DEVELOPMENT OF INFORMATION DEFENSE CID AND CLOUD PLATFORM ON THE BASE OF INTELLIGENCE TECHNOLOGIES by V. A. Vishniakov, М. М. Gongas Sas, М. G. Mosdurani Shiras

    Published 2014-12-01
    “…Two problems the use of intelligence technologies in information defense (ITID) – creating specialized knowledge bases with threats simulation and high the security level in corporative nets and cloud computing are presented. …”
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  2. 1242

    Assessing socioeconomic dynamics in Windhoek informal settlements in response to the COVID-19 pandemic in Namibia by C N Jona, N P Petrus, C Togarepi, S Shivolo-Useb, J Muzanima, M N T Shipandeni

    Published 2025-01-01
    “…As such, policies that aim at improving informal settlements should include safety nets strengthening, enhancing job security and employment opportunities as well as capacitating the households in entrepreneurial skills to build resilience for any future shocks.…”
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  3. 1243

    SAMNet++: A Segment Anything Model for Supervised 3D Point Cloud Semantic Segmentation by Mohsen Shahraki, Ahmed Elamin, Ahmed El-Rabbany

    Published 2025-04-01
    “…In this paper, we present SAMNet++, a hybrid 3D segmentation model that integrates segment anything model (SAM) and adopted PointNet++ in a sequential two-stage pipeline. Firstly, SAM performs an initial unsupervised segmentation, which is then refined using adopted PointNet++ to improve the accuracy. …”
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    Monitoring semantic relatedness and revealing fairness and biases through trend tests by Jean-Rémi Bourguet, Adama Sow

    Published 2025-06-01
    “…This paper proposes a framework that combines the information extractor ReVerb with the WordNet taxonomy to monitor global semantic relatedness scores. …”
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    Generative adversarial DacFormer network for MRI brain tumor segmentation by Muqing Zhang, Qiule Sun, Yutong Han, Mingli Zhang, Wei Wang, Jianxin Zhang

    Published 2025-05-01
    “…Abstract Current brain tumor segmentation methods often utilize a U-Net architecture based on efficient convolutional neural networks. …”
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    Sampling Techniques Affect Mayfly Nymph Community Indices and May Bias Bioassessments by Zohar Yanai, Netta Dorchin

    Published 2025-07-01
    “…To test these effects, we sampled stream habitats for mayflies using two commonly used techniques in a standardised setup: aquatic sweep nets and manual collection from stones. These methods resulted in different success rates in detecting certain taxa depending on their biological traits (preferred microhabitat and locomotion type). …”
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