Rapid and Automated Urban Modeling Techniques for UAS Applications

Author(s):  
Youngjun Choi ◽  
David Pate ◽  
Simon Briceno ◽  
Dimitri N. Mavris
Fractals ◽  
1994 ◽  
Vol 02 (03) ◽  
pp. 469-471 ◽  
Author(s):  
ANNE FRIEDRICH ◽  
SANDA KAUFMAN ◽  
MIRON KAUFMAN

This project arose from the question: "Can fractal geometry be used to represent changes in urban property values?" In pursuit of an answer to this question, this paper reviews existing urban modeling techniques and their shortcomings in terms of their abilities to represent changes in property values. A percolation model will be used to model property value changes. Data sets of changes in property values over time in the Greater Cleveland area will be developed and mapped. The percolation model will be tested with these data.


2014 ◽  
Author(s):  
Donald L. Brown ◽  
Jun Li ◽  
Victor M. Calo ◽  
Mehdi Ghommem ◽  
Yalchin Efendiev

1990 ◽  
Author(s):  
Lee K. Balick ◽  
John R. Hummel ◽  
James A. Smith ◽  
Daniel S. Kimes

2019 ◽  
Vol 24 (43) ◽  
pp. 5175-5180 ◽  
Author(s):  
Jatinder Kaur Mukker ◽  
Ravi Shankar Prasad Singh

The properties of nanoparticles can be exploited to overcome challenges in drug delivery. By virtue of its design and size, the pharmacokinetics of nanoparticles are different than other small molecules. Modeling and simulation techniques have great potential to be used in nanoformulation development; however, their use in optimization of nanoformulation is very limited. This review highlights the differences in absorption, distribution, metabolism and excretion (ADME) characteristics of nanoparticles, use of modeling and simulation techniques in nanoformulation development and challenges in the implementation of modeling techniques.


2019 ◽  
Vol 18 (26) ◽  
pp. 2209-2229 ◽  
Author(s):  
Hai Pham-The ◽  
Miguel Á. Cabrera-Pérez ◽  
Nguyen-Hai Nam ◽  
Juan A. Castillo-Garit ◽  
Bakhtiyor Rasulev ◽  
...  

One of the main goals of in silico Caco-2 cell permeability models is to identify those drug substances with high intestinal absorption in human (HIA). For more than a decade, several in silico Caco-2 models have been made, applying a wide range of modeling techniques; nevertheless, their capacity for intestinal absorption extrapolation is still doubtful. There are three main problems related to the modest capacity of obtained models, including the existence of inter- and/or intra-laboratory variability of recollected data, the influence of the metabolism mechanism, and the inconsistent in vitro-in vivo correlation (IVIVC) of Caco-2 cell permeability. This review paper intends to sum up the recent advances and limitations of current modeling approaches, and revealed some possible solutions to improve the applicability of in silico Caco-2 permeability models for absorption property profiling, taking into account the above-mentioned issues.


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