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A brief history of pollution
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ISBN: 1853832138 9781853832130 Year: 1995 Publisher: London: Earthscan,

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Risk reduction : chemicals and energy into the 21st century
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Year: 1996 Publisher: London Bristol Taylor & Francis

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Les techniques de dépoussiérage des fumées industrielles : état de l'art
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ISBN: 2743004851 Year: 2002 Publisher: Paris : Tec & Doc,

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Survey of the quality of UK coastal waters
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ISBN: 0953283836 Year: 1998 Publisher: Aberdeen : Marine Pollution Monitoring Management Group,

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Tropical marine pollution
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ISBN: 0444412980 9786611772116 1281772119 0080870481 9780444412980 9780080870489 6611772111 Year: 1975 Publisher: Amsterdam : Elsevier Scientific,

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Tropical Marine Pollution


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Petrogenic polycyclic aromatic hydrocarbons in the aquatic environment
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ISBN: 1681084279 9781681084275 9781681084282 Year: 2017 Publisher: Sharjah Bentham Science Publishers

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Plastics in the aquatic environment - part II : stakeholders' role against pollution
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ISBN: 3030841146 3030841138 Year: 2022 Publisher: Cham, Switzerland : Springer,

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Synthetic aperture radar (SAR) meets deep learning
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ISBN: 3036563830 3036563822 Year: 2023 Publisher: [Basel] : MDPI - Multidisciplinary Digital Publishing Institute,

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This reprint focuses on the application of the combination of synthetic aperture radars and depth learning technology. It aims to further promote the development of SAR image intelligent interpretation technology. A synthetic aperture radar (SAR) is an important active microwave imaging sensor, whose all-day and all-weather working capacity give it an important place in the remote sensing community. Since the United States launched the first SAR satellite, SAR has received much attention in the remote sensing community, e.g., in geological exploration, topographic mapping, disaster forecast, and traffic monitoring. It is valuable and meaningful, therefore, to study SAR-based remote sensing applications. In recent years, deep learning represented by convolution neural networks has promoted significant progress in the computer vision community, e.g., in face recognition, the driverless field and Internet of things (IoT). Deep learning can enable computational models with multiple processing layers to learn data representations with multiple-level abstractions. This can greatly improve the performance of various applications. This reprint provides a platform for researchers to handle the above significant challenges and present their innovative and cutting-edge research results when applying deep learning to SAR in various manuscript types, e.g., articles, letters, reviews and technical reports.


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Prévention et réduction des substances dangereuses pour le milieu aquatique dans les eaux usées industrielles en Région wallonne : cadre législatif, état des lieux et plan de contrôle
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ISBN: 9789046535646 Year: 2011 Volume: *1 Publisher: Waterloo Kluwer

The health of the oceans
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ISBN: 9231013564 Year: 1976 Publisher: Paris : D. Reidel,

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