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
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Beyond the parabola: A surface-tension-limited, analytical–numerical extension of Nihoul's oil-slick spreading equation
2026
Özet henüz yok.
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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…
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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…
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Optimizing passive aeration in aquaculture: Performance evaluation of weir designs using AI-based prediction
2026
Özet henüz yok.
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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…
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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…
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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…
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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…
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Functional Resonance Analysis (FRAM) of a chemical tanker fire: A systematic approach to enhancing maritime accident analysis
2026
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Functional Resonance Analysis (FRAM) of a chemical tanker fire: A systematic approach to enhancing maritime accident analysis
2026
Özet henüz yok.
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A Novel Approach for Shipboard Enrichment of Marine Nanoparticles Followed by Rapid Detection by Dynamic Light Scattering
2025
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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