scholarly journals QSAR modeling of adipose/blood partition coefficients of Alcohols, PCBs, PBDEs, PCDDs and PAHs: A data gap filling approach

2018 ◽  
Vol 121 ◽  
pp. 1193-1203 ◽  
Author(s):  
Jephthe Jean ◽  
Supratik Kar ◽  
Jerzy Leszczynski
Keyword(s):  
Partition Coefficients ◽  
Gap Filling ◽  
Qsar Modeling ◽  
Data Gap

Comparison of data gap-filling methods for Landsat ETM+ SLC-off imagery for monitoring forest degradation in a semi-deciduous tropical forest in Mexico

2015 ◽  
Vol 36 (11) ◽  
pp. 2786-2799 ◽  
Author(s):  
Martin Enrique Romero-Sanchez ◽  
Raul Ponce-Hernandez ◽  
Steven E. Franklin ◽  
Carlos Arturo Aguirre-Salado
Keyword(s):  
Tropical Forest ◽  
Forest Degradation ◽  
Gap Filling ◽  
Data Gap

Second generation periodic table-based descriptors to encode toxicity of metal oxide nanoparticles to multiple species: QSTR modeling for exploration of toxicity mechanisms

2018 ◽  
Vol 5 (11) ◽  
pp. 2742-2760 ◽  
Author(s):  
Priyanka De ◽  
Supratik Kar ◽  
Kunal Roy ◽  
Jerzy Leszczynski
Keyword(s):  
Risk Assessment ◽  
Metal Oxide ◽  
In Silico ◽  
Periodic Table ◽  
Metal Oxide Nanoparticles ◽  
Oxide Nanoparticles ◽  
Gap Filling ◽  
Toxicity Mechanisms ◽  
Data Gap ◽  
Multiple Species

The application of in silico methods in the risk assessment of metal oxide nanoparticles (MNPs) and data gap filling has found profound usability.

A methodology for data gap filling in wave records using Artificial Neural Networks

2020 ◽  
Vol 98 ◽  
pp. 102109 ◽  
Author(s):  
Filipe Vieira ◽  
Georgenes Cavalcante ◽  
Edmo Campos ◽  
Francisco Taveira-Pinto
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Gap Filling ◽  
Artificial Neural ◽  
Data Gap

scholarly journals Data-Gap Filling to Understand the Dynamic Feedback Pattern of Soil

2015 ◽  
Vol 7 (9) ◽  
pp. 11801-11820 ◽  
Author(s):  
Shanxin Guo ◽  
Lingkui Meng ◽  
A-Xing Zhu ◽  
James Burt ◽  
Fei Du ◽  
...  
Keyword(s):  
Dynamic Feedback ◽  
Gap Filling ◽  
Data Gap
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