Showing 521 - 540 results of 10,741 for search '"U.S."', query time: 0.07s Refine Results
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    Tlačno ispitivanje kapitela stupa iz palače Moise u Cresu by Željko Smolčić, Paulo Šćulac

    Published 2019-02-01
    “…U radu je prikazano tlačno ispitivanje kapitela stupa iz palače Moise u Cresu, starog oko 500 godina. …”
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    COVID-19 FAQ for U-Pick Farms: Steps for Farm Managers by Natalie Seymour, Mary Yavelak, Candice Christian, Ben Chapman, Michelle Danyluk

    Published 2020-03-01
    “…This flyer in particular provides guidance for U-pick farm managers to prevent the spread of COVID-19. …”
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    The U.S. Orange and Grapefruit Juice Markets: History, Development, Growth, and Change by Robert A. Morris

    Published 2010-07-01
    “…Morris, tells the story of the successes and failures in the U.S. citrus juice market. Includes references. …”
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    Unbalanced protocol recognition method based on improved residual U-Net by Jisheng WU, Zheng HONG, Tiantian MA

    Published 2024-02-01
    “…An unbalanced protocol recognition method based on the improved Residual U-Net was proposed to solve the challenge of network security posed by the increasing network attacks with the continuous development of the Internet.In the captured network traffic, a small proportion is constituted by malicious traffic, typically utilizing minority protocols.However, existing protocol recognition methods struggle to accurately identify these minority protocols when the class distribution of the protocol data is imbalanced.To address this issue, an unbalanced protocol recognition method was proposed, which utilized the improved Residual U-Net, incorporating a novel activation function and the Squeeze-and-Excitation Networks (SE-Net) to enhance the feature extraction capability.The loss function employed in the proposed model was the weighted Dice loss function.In cases where the recognition accuracies of the minority protocols were low, the loss function value would be high.Consequently, the optimization direction of the model would be dominated by the minority protocols, resulting in improved recognition accuracies for them.During the protocol recognition process, the network flow was extracted from the network traffic and preprocessed to convert it into a one-dimensional matrix.Subsequently, the protocol recognition model extracted the features of the protocol data, and the Softmax classifier predicted the protocol types.Experimental results demonstrate that the proposed protocol recognition model achieves more accurate recognition of the minority protocols compared to the comparison model, while also improving the recognition accuracies of the majority protocols.…”
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    ZAŠTITNI RADOVI NA LOKALITETU CRKVE SV. FRANJE U SENJU by Blaženka Ljubović

    Published 2018-01-01
    “…U Programu Ministarstva kulture Republike Hrvatske za 2017. godinu župi Uznesenja Blažene Djevice Marije u Senju dodijeljena su financijska sredstva za zaštitu lokaliteta nekadašnje crkve sv. …”
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    NASELJENOST SJEVERNOG I SREDNJEG VELEBITA U PRAPOVIJESTI I ANTICI by VEDRANA GLAVAŠ, MIROSLAV GLAVIČIĆ

    Published 2017-01-01
    “…U radu se donose rezultati istraživanja prapovijesne i antičke naseljenosti na prostoru sjevernog i srednjeg Velebita. …”
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