|
|
|
|
|
Qiao Yan, Xiaoqian Liu, Xiaoping Deng, Wei Peng and Guiqing Zhang
Prediction of energy use behaviors is a necessary prerequisite for designing personalized and scalable energy efficiency programs. The energy use behaviors of office occupants are different from those of residential occupants and have not yet been studie...
ver más
|
|
|
|
|
|
|
|
|
Alejandro Ivan Aguirre-Salado, Humberto Vaquera-Huerta, Carlos Arturo Aguirre-Salado, José del Carmen Jiménez-Hernández, Franco Barragán and María Guzmán-Martínez
We introduced a novel spatial model based on the distribution of generalized extreme values (GEV) to analyze the maximum intensity levels of earthquakes with incomplete data (randomly censored) on the Pacific coast of southern Mexico using a random censo...
ver más
|
|
|
|
|
|
|
|
|
Bo Zou, Zhanfeng Qi, Guangchao Hou, Zhaoxing Li, Xiaochen Yu and Jingsheng Zhai
The key to model-based Bayesian geoacoustic inversion is to solve the posterior probability distributions (PPDs) of parameters. In order to obtain PPDs more efficiently and accurately, the state-of-the-art Markov chain Monte Carlo (MCMC) method, multiple...
ver más
|
|
|
|
|
|
|
|
|
Carla Camargos, Stefan Julich, Tobias Houska, Martin Bach and Lutz Breuer
The widely used, partly-deterministic Soil and Water Assessment Tool (SWAT) requires a large amount of spatial input data, such as a digital elevation model (DEM), land use, and soil maps. Modelers make an effort to apply the most specific data possible ...
ver más
|
|
|
|
|
|
|
|
|
Ariane Scheffer, Guido Cantelmo, Francesco Viti
Pág. 585 - 592
While estimating origin-destination (OD) demand flows usually requires a large amount of data, nowadays a key issue in traffic engineering is to estimate the trip purpose while protecting user privacy. The aim of this work is to derive from macroscopic a...
ver más
|
|
|
|