نتایج جستجو برای: resource estimation

تعداد نتایج: 470612  

Journal: :Climate 2022

Estimation of hydrological processes and water quality is central to resource management, clean supply, environmental protection, ecological services [...]

Journal: :ISPRS Int. J. Geo-Information 2017
Wenhao Yu

Given a co-location pattern consisting of spatial features, the prevalent region mining process identifies local areas in which these features are co-located with a high probability. Many approaches have been proposed for co-location mining due to its key role in public safety, social-economic development and environmental management. However, traditionally, most of the solutions focus on items...

2007
Maya Daneva

This paper reports on initial findings in an empirical study carried out with representatives of two ERP vendors, six ERP adopting organizations, four ERP implementation consulting companies, and two ERP research and advisory services firms. Our study’s goal was to gain understanding of the state-of-the practice in size and effort estimation of cross-organizational ERP projects. Based on key si...

2011
V. K. Singh B. P. Singh

If a system, producing point events has been running for a long time before it is first observed, one obtains an equilibrium renewal process (ERP). Such renewal processes are common in real life experiments where the experimenter enters the system abruptly at a fixed point , a long time after the start of the process and counts the number of events of his interest upto the time point .The prese...

2003
Joseph Yeh John Wawrzynek

We present a novel method for allocating computational resources in motion estimation for real time video compression, in order to attempt to minimize prediction error over the whole image. The method makes decisions about how much compute power is allocated to motion estimation for each particular block based upon past observations of the input and output data of each task. We present prelimin...

Journal: :Environmental Modelling and Software 2014
Gabriele Baroni Stefano Tarantola

Abstract: The present study proposes a General Probabilistic Framework (GPF) for uncertainty and global sensitivity analysis of deterministic models in which, in addition to scalar inputs, non-scalar and correlated inputs can be considered as well. The analysis is conducted with the variance-based approach of Sobol/Saltelli where first and total sensitivity indices are estimated. The results of...

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