Results 61 to 70 of about 77,394 (227)
Surface roughness measurements using UAV LiDAR and analysis of uncertainty factors
River, EarlyView.Abstract Surface root mean square height (SRMSH) is a key parameter characterizing surface roughness; it reflects soil hydrological properties and influences related physical processes. LiDAR offers an effective means for measuring SRMSH over large areas, yet the method involves several uncertainty factors that require further investigation.
Xiangdong Qin, Zhiguo Pang, Jingxuan Lu
wiley +1 more source
Advances in Mechanical Engineering, 2015 The optimization of hydro-pneumatic suspension parameters of a multi-axle heavy motorized wheel dump truck is carried out based on virtual and real prototype experiment integrated Kriging model in this article.
Bian Gong, Xuexun Guo, Sanbao Hu, Lin Xu
doaj +1 more source
Wildlife Biology, EarlyView.Predation by pine martens Martes martes and red foxes Vulpes vulpes is an important factor influencing the population dynamics of capercaillie Tetrao urogallus. However, there is a knowledge gap regarding the relative effects of these mesopredators on the reproductive success of capercaillie. To better understand how various landscape factors influence
Siow Yan Jennifer Angoh +4 more
wiley +1 more source
Physical attributes of a pasture soil in southeast Goiás determined by geostatistics [PDF]
Engenharia Agrícola, 2016 This study aimed to evaluate the spatial dependence of physical attributes in a soil cultivated with Brachiaria grass. A 12-m regular sampling grid was established within an area of 3.500 m2.
Gabriel G. de G. Cardoso +2 more
doaj +1 more source
Additive Kernels for Gaussian Process Modeling [PDF]
, 2010 Gaussian Process (GP) models are often used as mathematical approximations of computationally expensive experiments. Provided that its kernel is suitably chosen and that enough data is available to obtain a reasonable fit of the simulator, a GP model can
Durrande, Nicolas +2 more
core +2 more sources
Sensitivity analysis of expensive black-box systems using metamodeling [PDF]
, 2016 Simulations are becoming ever more common as a tool for designing complex products. Sensitivity analysis techniques can be applied to these simulations to gain insight, or to reduce the complexity of the problem at hand.
Couckuyt, Ivo +3 more
core +2 more sources
Wildlife Letters, EarlyView.Climate change drives shifts in suitable habitats for Eurasian lynx and its prey (hare, roe deer) in Mohe, Daxing'anling Mountains. Under RCP scenarios, moderate warming (RCP4.5) promotes substantial habitat expansion, while high‐emission conditions (RCP8.5) lead to strong expansion in the 2050s but slower gains and partial contraction by the 2070s ...
Binglian Liu +5 more
wiley +1 more source
Meta-models for structural reliability and uncertainty quantification [PDF]
, 2011 A meta-model (or a surrogate model) is the modern name for what was traditionally called a response surface. It is intended to mimic the behaviour of a computational model M (e.g.
Sudret, Bruno
core +4 more sources
Reliability-based design optimization using kriging surrogates and subset simulation
, 2011 The aim of the present paper is to develop a strategy for solving reliability-based design optimization (RBDO) problems that remains applicable when the performance models are expensive to evaluate.
Bourinet, J. -M. +2 more
core +3 more sources
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Organic phosphorus mineralization is a critical process in the phosphorus cycle, governing phosphorus bioavailability for plants. The PhoD gene, which encodes the key enzyme alkaline phosphatase, serves as a valuable biomarker for this process.
Sandhya Mishra +3 more
wiley +1 more source