يعرض 1 - 10 نتائج من 589 نتيجة بحث عن '"hull fouling"', وقت الاستعلام: 0.80s تنقيح النتائج
  1. 1
    مؤتمر
    Ship Fouling Monitoring and Analysis Based on Data Driven Methods

    المؤلفون: Xi, Wen, Ge, Xiaoying, Wei, Muheng

    المصدر: 2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS) Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), 2023 CAA Symposium on. :1-5 Sep, 2023

    Relation: 2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

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  2. 2
    دورية أكاديمية
    Marine vessel energy efficiency performance prediction based on daily reported noon reports.

    المؤلفون: Bayraktar, Murat, Sokukcu, Mustafa

    المصدر: Ships & Offshore Structures; Jul2024, Vol. 19 Issue 6, p831-840, 10p

    مصطلحات موضوعية: SHIP hull fouling, TANKERS, OCEAN waves, SHIPPING rates, SHIP models, WILDFIRES

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  3. 3
    دورية أكاديمية
    Diversity and Distribution Patterns of Biofouling Macrobenthos Based on the Ship Navigation Type

    المؤلفون: Gwak, Si JinAff1, Aff2, Kim, Sang Lyeol, Lee, Hyung Gon, Yu, Ok HwanAff1, Aff2, IDs1260102400157y_cor4

    المصدر: Ocean Science Journal. 59(3)

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  4. 4
    دورية أكاديمية
    Advances in emerging hydrogel fouling-release coatings for marine applications.

    المؤلفون: Kio, Michael, Klauda, Jeffery

    المصدر: Journal of Coatings Technology & Research; May2024, Vol. 21 Issue 3, p827-856, 30p

    مصطلحات موضوعية: HYDROGELS, SHIP hull fouling, SURFACE coatings, SURFACES (Technology), SEAWATER, HEAVY metals

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  5. 5
    دورية أكاديمية
    Identifying marine invasion threats and management priorities through introduction pathway analysis in a remote sub‐Antarctic ecosystem.

    المؤلفون: Bayley, Daniel T. I., Brewin, Paul E., James, Ross, McCarthy, Arlie H., Brickle, Paul

    المصدر: Ecology & Evolution (20457758); Apr2024, Vol. 14 Issue 4, p1-19, 19p

    مصطلحات موضوعية: MARINE biodiversity, ECOSYSTEMS, SHIP hull fouling, AUTOMATIC identification, TRANSBOUNDARY waters, ENDEMIC species, BALLAST water, INTRODUCED species

    مصطلحات جغرافية: SOUTH Georgia & South Sandwich Islands

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  6. 6
    دورية أكاديمية
    Development of Constructive Measures to Reduce the Consequences of Ship Collisions.

    المؤلفون: Burakovskiy, Pavel

    المصدر: Journal of ETA Maritime Science; 2024, Vol. 12 Issue 2, p136-143, 8p

    مصطلحات موضوعية: SHIP hull fouling, FINITE element method, BULKHEADS, RISK assessment, AUTOMOTIVE fuel consumption standards

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  7. 7
    دورية أكاديمية
    Species Composition and Distribution of Hull-Fouling Macroinvertebrates Differ According to the Areas of Research Vessel Operation.

    المؤلفون: Lee, Hyung-Gon, Yu, Ok-Hwan, Kim, Sang-Lyeol, Kang, Jung-Hoon, Shin, Kyoung-Soon

    المصدر: Journal of Marine Science & Engineering; Apr2024, Vol. 12 Issue 4, p613, 23p

    مصطلحات موضوعية: BARNACLES, SPECIES distribution, SHIP hull fouling, INVERTEBRATES, NATIVE species, INTRODUCED species, BALLAST water, RESEARCH vessels

    مصطلحات جغرافية: SOUTH Korea

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  8. 8
    دورية أكاديمية
    Small sea with high traffic - what is the biofouling potential of commercial ships in the Baltic Sea.

    المؤلفون: Hegele-Drywa, Joanna, Normant-Saremba, Monika, Wójcik-Fudalewska, Dagmara

    المصدر: Biofouling; Mar/Apr2024, Vol. 40 Issue 3/4, p280-289, 10p

    مصطلحات موضوعية: FOULING, CARGO ships, SHIP hull fouling, SHIPS, SURFACE area

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  9. 9
    دورية أكاديمية
    Development of Biological Risk Assessment Protocols for Evaluating the Risks of In-Water Cleaning of Hull-Fouling Organisms.

    المؤلفون: Hyun, Bonggil, Jang, Pung-Guk, Jang, Min-Chul, Kang, Jung-Hoon, Kim, Ju-Hyoung, Ki, Jang-Seu, Choi, Dong Han, Yu, Ok Hwan, Seo, Jin-Young, Lee, Woo-Jin, Shin, Kyoungsoon

    المصدر: Journal of Marine Science & Engineering; Feb2024, Vol. 12 Issue 2, p234, 14p

    مصطلحات موضوعية: SHIP hull fouling, ENVIRONMENTAL risk assessment, RISK assessment, ORGANISMS, INTRODUCED species, CLEANING

    مصطلحات جغرافية: SOUTH Korea

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  10. 10
    دورية أكاديمية
    Detecting Hull Fouling using Machine Learning Algorithms trained on Ship Propulsion Data to Improve Resource Management and Increase Environmental Benefits.

    المؤلفون: Petridis, Christos, Vassilakopoulos, Michael

    المصدر: ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences; 2024, Vol. 10 Issue 4/W4, p185-192, 8p

    مصطلحات موضوعية: SHIP hull fouling, SHIP propulsion, ARTIFICIAL neural networks, ENVIRONMENTAL management, RESOURCE management, MACHINE learning, NAVAL architecture

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