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Zheng Zhao, Jialing Yuan and Luhao Chen
Air Traffic Flow Management (ATFM) delay can quantitatively reflect the congestion caused by the imbalance between capacity and demand in an airspace network. Furthermore, it is an important parameter for the ex-post analysis of airspace congestion and t...
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Mohammed Sarheed, Hans-Jakob Schärer, Qiyan Wang-Müller, Pascale Flury, Chloé Maes, Manon Genva, Marie-Laure Fauconnier and Peter Nick
Weed control tries to suppress competitors for a crop and often relies on differential intoxication, making use of differences in uptake, development, or metabolism. We explored the possibility of using natural signals to shift competition in favour of t...
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Guowei Hua, Shijie Wang, Meng Xiao and Shaohua Hu
Dam safety is considerably affected by seepage, and uplift pressure is a key indicator of dam seepage. Thus, making accurate predictions of uplift pressure trends can improve dam hazard forecasting. In this study, a convolutional neural network, (CNN)-ga...
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Dongsheng Li, Jinfeng Ma, Kaifeng Rao, Xiaoyan Wang, Ruonan Li, Yanzheng Yang and Hua Zheng
Accurate rainfall prediction remains a challenging problem because of the high volatility and complicated essence of atmospheric data. This study proposed a hybrid model (DSP) that combines the advantages of discrete wavelet transform (DWT), support vect...
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Jiao Shi, Tianyun Su, Xinfang Li, Fuwei Wang, Jingjing Cui, Zhendong Liu and Jie Wang
Significant wave height (SWH) is a key parameter for monitoring the state of waves. Accurate and long-term SWH forecasting is significant to maritime shipping and coastal engineering. This study proposes a transformer model based on an attention mechanis...
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Delphine Dobler, Christophe Maes, Elodie Martinez, Rinny Rahmania, Budhi Gunadharma Gautama, Aulia Riza Farhan and Edmond Dounias
Plastic debris has become an acute marine pollution concern worldwide in modern times. Indonesia is particularly impacted because of its high population density, heavy rainfall rate and numerous coastlines. A Lagrangian analysis was performed to simulate...
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Cordoba Hernández Rafael
Pág. 1 - 88
ResumenLa investigación tiene como propósito analizar si planeamiento tiene la capacidad de protección y preservación del suelo para disminuir el riesgo generado por los impulsores directos del cambio detectados por la Evaluación de Ecosistemas del Milen...
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Madhurima Das, Chandan Kumar Deb, Ram Pal and Sudeep Marwaha
In this study, leaf area prediction models of Dendrobium nobile, were developed through machine learning (ML) techniques including multiple linear regression (MLR), support vector regression (SVR), gradient boosting regression (GBR), and artificial neura...
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Duy Tan Pham, Long Ho, Juan Espinoza-Palacios, Maria Arevalo-Durazno, Wout Van Echelpoel and Peter Goethals
Due to simplicity and low costs, waste stabilisation ponds (WSPs) have become one of the most popular biological wastewater treatment systems that are applied in many places around the globe. Increasingly, pond modelling has become an interesting tool to...
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Cristiane Bonfim Fernandez,Susy Ellen Pacheco da Silva
Pág. 511 - 531
Este artigo faz uma reflexão sobre o acompanhamento especializado de adolescentes em situação de violência sexual considerando a perspectiva de adolescentes e familiares atendidos no Centro de Referência Especializada em Assistência Social (CRE...
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