Titlebook: Modelling and Simulation of Complex Systems for Sustainable Energy Efficiency; Contributions to the Ahmed Hammami,Philippus Stephanus Heyns

慢慢沖刷

Bernadette Bouchon-Meunier,Anne Laurent,Marie-Jeanne Lesots are not complete. That is, they provide no guarantee that a satisfying assignment, if one exists, will be found. Thus, when studying randomized algorithms, there are two important characteristics that need to be considered: the running time and, even more importantly, the accuracy — a measure of l

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Implementing a Cash Grant Program for the Homeless in Metro Manila, The Philippines” to reach the hard-core poor, with a program named Modified Conditional Cash Transfer (MCCT). MCCT targets homeless street families (HSFs) with children under 14 years of age and aims to provide a complete package of assistance including not only education and health but also shelter assistance wit

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IVORY

An Analysis on Optimization of Side Impact Performance for X Project Using Madymozation directions for current problems, and the optimization results are validated by vehicle test. The optimization plans for this project include decreasing armrest’s stiffness; matching SAB to resist direct contact between thorax, abdomen and door trim, increase the points of abdomen and thorax r

Paleontology

Crime and Spatiality in South African Cities, patterning of urban crime is key to understanding and explaining its development and proliferation in society. South Africa is a country crippled with high levels of urban crime. Explanations provided for these high crime levels are myriad but tend to focus on the nations’ rising levels of poverty,

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Fire Frequency and Community Heterogeneity in Tallgrass Prairie Vegetationmmunity (Inouye et al. 1987, Collins 1990). Heterogeneity differs from pattern analysis in that the latter is a measure of the degree of spatial autocorrelation, or distance decay in the case of gradients, in a community (Palmer 1988, Legendre and Fortin 1989).

dowagers-hump

Opinion-Based Machine Learning Approach for Fake News Classification,nd these algorithms generate better accuracies than state-of-the-art methods. Authors have demonstrated that the Decision tree causes the highest accuracy on the LIAR dataset, which is 14% more than the approaches mentioned in the existing literature.

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