scholarly journals An Additive Statistical Modeling Approach to the Analysis of Transport Infrastructure Flood Risk-Based Resilience

2017 ◽  
Author(s):  
Mohammad Mojtahedi ◽  
Sidney Newton ◽  
Faham Tahmasebinia
Keyword(s):  
Statistical Modeling ◽  
Flood Risk ◽  
Transport Infrastructure ◽  
Modeling Approach

Relation between operating parameters and desalination performance of capacitive deionization with activated carbon electrodes

2015 ◽  
Vol 1 (4) ◽  
pp. 516-522 ◽  
Author(s):  
Danyang Liu ◽  
Kuan Huang ◽  
Leijie Xie ◽  
Hao L. Tang
Keyword(s):  
Activated Carbon ◽  
Statistical Modeling ◽  
Carbon Electrodes ◽  
Operating Parameters ◽  
Capacitive Deionization ◽  
Modeling Approach

This work presents a novel attempt at using a statistical modeling approach to predict the desalination performance of CDI.

Adsorptive removal of surfactant using dolochar: A kinetic and statistical modeling approach

2019 ◽  
Vol 92 (2) ◽  
pp. 222-235 ◽  
Author(s):  
Shreya Shami ◽  
Rajesh Roshan Dash ◽  
Akshaya Kumar Verma ◽  
Aditya Kishore Dash ◽  
Abanti Pradhan
Keyword(s):  
Statistical Modeling ◽  
Adsorptive Removal ◽  
Modeling Approach

scholarly journals Smart disaster prediction application using flood risk analytics towards sustainable climate action

2018 ◽  
Vol 189 ◽  
pp. 10006
Author(s):  
Michael M. Orozco ◽  
Jonathan M. Caballero
Keyword(s):  
Water Level ◽  
River Water ◽  
Statistical Modeling ◽  
Early Warning ◽  
Flood Risk ◽  
Predictive Analytics ◽  
Water Pressure ◽  
Warning System ◽  
Flood Prediction ◽  
Disaster Prediction

Disaster prediction devices for early warning system are used by many countries for disaster awareness. This study developed smart disaster prediction application using microcontrollers and sensors to analyze the river water level for flood using flood risk analytics. Specifically, it monitors the river water level, water pressure and rain fallusing microcontroller, applying statistical modeling algorithms for river flood prediction, and monitor flood in a web-based system with SMS notification and alarm to the community as an early warning. The researchers used the system development method to measure the prototype feasibility study. The researchers applied the statistical modeling algorithm as the data can be observed from time to time or on a daily basis for the predictive analytics. Based on the 7-days observation result, rainfall resulted in precipitation average of 10.96 mm, water pressure with an average of 40.92 pound per square inch (psi) and water level averaged 138.78 cm. The tropical depression during the 7 days’observation reflected the average data result from the sensors as the target of the study. The result of the prototype device used the City Disaster Risk and Reduction management office (CDRRMO) as history logs for a flood risk and it was proven accurate which makes a good use for disaster prediction.

scholarly journals Defining responders to therapies by a statistical modeling approach applied to randomized clinical trial data

BMC Medicine ◽  
2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Francesca Bovis ◽  
Luca Carmisciano ◽  
Alessio Signori ◽  
Matteo Pardini ◽  
Joshua R. Steinerman ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Randomized Clinical Trial ◽  
Statistical Modeling ◽  
Clinical Trial Data ◽  
Trial Data ◽  
Modeling Approach
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