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OpenAlex konusu

Oil Spill Detection and Mitigation

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 191 eser 6 yazar konusu

Çalışmalar

191 eser

  1. Beyond the parabola: A surface-tension-limited, analytical–numerical extension of Nihoul's oil-slick spreading equation 2026

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  2. Physics-Informed Multi-Scale Deep Learning Framework for Natural Hydrocarbon Seep Detection in SAR Imagery: A Methodological Proposal 2026

    The continuous monitoring of natural hydrocarbon seeps is critical for assessing marine ecosystem health and serving as a geophysical indicator of seafloor petroleum reserves. Synthetic Aperture Radar (SAR) systems, particularly Sentinel-1, provide weather-independent operational capabilities for detecting these seeps…

  3. Physics-Informed Multi-Scale Deep Learning Framework for Natural Hydrocarbon Seep Detection in SAR Imagery: A Methodological Proposal 2026

    The continuous monitoring of natural hydrocarbon seeps is critical for assessing marine ecosystem health and serving as a geophysical indicator of seafloor petroleum reserves. Synthetic Aperture Radar (SAR) systems, particularly Sentinel-1, provide weather-independent operational capabilities for detecting these seeps…

  4. Optimizing passive aeration in aquaculture: Performance evaluation of weir designs using AI-based prediction 2026

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  5. Recent developments in tsunami preparedness in the North-Eastern Atlantic and Mediterranean region: Challenges, strengths, and weaknesses 2026

    Tsunamis pose a low-frequency but high-impact hazard to coastal communities in the North-Eastern Atlantic and Mediterranean (NEAM) region. They are destructive, and their occurrence cannot be predicted. However, communities can take measures to decrease their impact. As concern grows for the NEAM region, local and int…

  6. Advanced modeling for fire risk evaluation and intelligent preventive system 2026

    Shipboard fires are among the most catastrophic maritime incidents, as dense smoke, fluctuating lighting, and camera movement often obstruct timely detection. To address these operational challenges, we propose a lightweight yet robust vision-based fire and smoke detection system tailored for vessels with limited onbo…

  7. A Hybrid Multi-Backbone Learning Framework for Marine Pollution Detection Using Deep Feature Fusion 2026

    Marine ecosystems are increasingly threatened by increasing industrial activities and anthropogenic environmental impacts. Especially oil spills and chemical wastes cause serious pollution in the seas. This situation negatively affects both marine life and economic activities. In this context, automatic and early dete…

  8. Autonomous Coastal Waste Detection and Localization Using UAV 2026

    Waste that accumulates along coastlines—particularly in areas that are difficult for people to access—and is predominantly composed of plastic derivatives constitutes an environmental problem that threatens marine ecosystems, especially marine life, and concerns all countries, whether they have a coastline or not. Thi…

  9. Functional Resonance Analysis (FRAM) of a chemical tanker fire: A systematic approach to enhancing maritime accident analysis 2026

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  10. Functional Resonance Analysis (FRAM) of a chemical tanker fire: A systematic approach to enhancing maritime accident analysis 2026

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  11. A Novel Approach for Shipboard Enrichment of Marine Nanoparticles Followed by Rapid Detection by Dynamic Light Scattering 2025

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  12. Sentinel-1 SAR Verileri Kullanılarak Petrol Sızıntısı Tespiti 2025

    Oil spills present a substantial threat to marine ecosystems and coastal economies, necessitating efficient and accurate detection methods. Driven by the necessity for dependable monitoring in a variety of environmental conditions, this study utilizes Sentinel-1 Synthetic Aperture Radar (SAR) data and the Mask R-CNN d…

Akademisyenler

6 akademisyen