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Although advancements in remote sensing technology have facilitated quick capture and identification of the source and location of oil spills in water bodies, the presence of other biogenic elements (lookalikes) with similar visual attributes hinder ...
Shamsudeen Temitope Yekeen +1 more
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AUTOMATED MARINE OIL SPILL DETECTION USING DEEP LEARNING INSTANCE SEGMENTATION MODEL [PDF]
This study developed a novel deep learning oil spill instance segmentation model using Mask-Region-based Convolutional Neural Network (Mask R-CNN) model which is a state-of-the-art computer vision model.
S. T. Yekeen, A.-L. Balogun
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The spring distribution of larval fish stages of flatfishes in the Dover Strait (eastern English Channel) was studied in 1995 and 1999. Fish larvae were identified and sorted according to developmental stages in order to study their ontogenic ...
Philippe Koubbi +8 more
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This article discusses historical criticism of revitalization the wali nanggroe position which is against the Law on Governing Aceh (UUPA). This article is written based on research using qualitative methods with a historical approach.
Imam Hadi Sutrisno +6 more
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Statistical Data Mining Methods in Predicting Happiness and Habits [PDF]
The objective of this study is to employ statistical data mining methods and con-duct a survey among young individuals to construct a model capable of forecasting overall happiness.
Sulaiman Sazan Kamal +3 more
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Growth rates are of fundamental interest for studying population dynamics of species when no age information is available. In these cases in situ growth proxies must be identified and validated, and here we tested whether RNA-DNA ratio (RD) and dry ...
Marc Hufnagl, Axel Temming
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Optimal Strategy for the Improvement of the Overall Performance of Dual-Axis Solar Tracking Systems
Solar Tracking Systems are useful to increase the generation efficiency of photovoltaic technology, mainly for concentration technology, where dual-axis is required on account of the high accurate alignment to the Sun.
Diego A. Flores-Hernández +5 more
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Wind power interval forecasting based on multidimensional meteorological data and temporal effects
Existing wind power interval forecasting models based on forecasting errors typically consider only the influence of wind speed while neglecting the temporal effects in the modeling process.
HUANG Xueqin +3 more
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Random forest Algorithm for the Classification of Spectral Data of Astronomical Objects
Over time, human beings have built increasingly large astronomical observatories to increase the number of discoveries related to celestial objects. However, the amount of collected elements far exceeds the human capacity to analyze findings without help.
José-Luis Solorio-Ramírez +3 more
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Elasmobranch spatial segregation in the western Mediterranean
Basic information on the distribution and habitat preferences of ecologically important species is essential for their management and protection. This study focuses on the depth related trends and the geographic patterns that shape the community of the ...
Adam Gouraguine +8 more
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