Tracking the behavior of an accidental oil spill and its impacts on the marine environment in the Eastern Mediterranean
The eastern Mediterranean region is a vital hub for oil transportation and production
because of its strategic location between Europe, Asia, and Africa. But its unique attributes …
because of its strategic location between Europe, Asia, and Africa. But its unique attributes …
Map** post-earthquake landslide susceptibility using U-Net, VGG-16, VGG-19, and metaheuristic algorithms
Landslides are among the most frequent secondary disasters caused by earthquakes in
areas prone to seismic activity. Given the necessity of assessing the current seismic …
areas prone to seismic activity. Given the necessity of assessing the current seismic …
Tracking the early signals of crude oil in seawater and plankton after a major oil spill in the Red Sea
Understanding the immediate impacts of oil spills is essential to recognizing their long-term
consequences on the marine environment. In this study, we traced the early (within one …
consequences on the marine environment. In this study, we traced the early (within one …
Spatiotemporal wave forecast with transformer-based network: A case study for the northwestern Pacific Ocean
Y Liu, W Lu, D Wang, Z Lai, C Ying, X Li, Y Han… - Ocean Modelling, 2024 - Elsevier
The forecast of ocean waves relies mostly on complex dynamic-based models, which are
expensive in computation and demanding in professional skills to run. Diverse deep …
expensive in computation and demanding in professional skills to run. Diverse deep …
A Triplet Network Fusing Optical and SAR Images for Colored Steel Building Extraction
X Zhang, S Yang, X Yang, C Li, Y Xu - Sensors, 2023 - mdpi.com
The identification of colored steel buildings in images is crucial for managing the
construction sector, environmental protection, and sustainable urban development. Current …
construction sector, environmental protection, and sustainable urban development. Current …
Automated marine oil spill detection algorithm based on single-image generative adversarial network and YOLO-v8 under small samples
Y Cai, L Chen, X Zhuang, B Zhang - Marine Pollution Bulletin, 2024 - Elsevier
As marine resources and transportation develop, oil spill incidents are increasing,
endangering marine ecosystems and human lives. Rapidly and accurately identifying …
endangering marine ecosystems and human lives. Rapidly and accurately identifying …
ROSID: Remote Sensing Satellite Data for Oil Spill Detection on Land
Oil spills on land pose significant environmental hazards, impacting ecosystems and human
health. Effective detection and monitoring of these spills are critical for timely response …
health. Effective detection and monitoring of these spills are critical for timely response …
[PDF][PDF] Deep learning for COVID-19 diagnosis via chest images
The easiest way to stop COVID-19 is to diagnose and quarantine infected patients as rapidly
as possible [3]. Both reverse transcription polymerase chain reaction (RT-PCR)[4] and real …
as possible [3]. Both reverse transcription polymerase chain reaction (RT-PCR)[4] and real …
Single-polarized SAR Image Preprocessing in Scope of Transfer Learning for Oil Spill Detection
This study proposes a novel preprocessing approach for improving oil spill detection from
Synthetic Aperture Radar (SAR) satellite imagery using deep learning models. A transfer …
Synthetic Aperture Radar (SAR) satellite imagery using deep learning models. A transfer …
A Novel Shipyard Production State Monitoring Method Based on Satellite Remote Sensing Images
W Qin, Y Song, H Zhu, X Yu, Y Tu - Remote Sensing, 2023 - mdpi.com
Monitoring the shipyard production state is of great significance to shipbuilding industry
development and coastal resource utilization. In this article, it is the first time that satellite …
development and coastal resource utilization. In this article, it is the first time that satellite …