Inicio  /  Water  /  Vol: 7 Núm: 4 Par: April (2015)  /  Artículo
ARTÍCULO
TITULO

Predicting Multiple Functions of Sustainable Flood Retention Basins under Uncertainty via Multi-Instance Multi-Label Learning

Qinli Yang    
Christian Boehm    
Miklas Scholz    
Claudia Plant and Junming Shao    

Resumen

No disponible

 Artículos similares

       
 
Grace-Mercure Bakanina Kissanga, Hasan Zulfiqar, Shenghan Gao, Sophyani Banaamwini Yussif, Biffon Manyura Momanyi, Lin Ning, Hao Lin and Cheng-Bing Huang    
Accurate prediction of subcellular localization of viral proteins is crucial for understanding their functions and developing effective antiviral drugs. However, this task poses a significant challenge, especially when relying on expensive and time-consu... ver más
Revista: Information

 
Rui Zhou and Xianghong Xu    
The significant increase in the speed of high-speed trains has made the optimization of pantograph?catenary parameters aimed at improving current collection quality become one of the key issues that urgently need to be addressed. In this paper, a method ... ver más
Revista: Applied Sciences

 
Haneul Lee and Seokheon Yun    
Accurately predicting construction costs during the initial planning stages is crucial for the successful completion of construction projects. Recent advancements have introduced various machine learning-based methods to enhance cost estimation precision... ver más
Revista: Buildings

 
Shuai Lu, Haibo Chen and Yilong Teng    
Traffic flow prediction is a crucial research area in traffic management. Accurately predicting traffic flow in each area of the city over the long term can enable city managers to make informed decisions regarding the allocation of urban transportation ... ver más

 
Vladimir Pavlinovic, Nikola Foretic, Neven Kovacevic, Tea Galic, Linda Lu?ic Kalcina, Frane Mihanovic and Toni Modric    
This research aimed to identify relations of cognitive and power capacities with reactive agility in pubescent boys (n = 55) and girls (n = 46). Cognitive abilities were evaluated by the Stroop test, while the BlazePod system was used to evaluate agility... ver más
Revista: Applied Sciences