AIMC Topic: Hydrocarbons
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Moisture Damage Modeling in Lime and Chemically Modified Asphalt at Nanolevel Using Ensemble Computational Intelligence.
Computational intelligence and neuroscience
Apr 18, 2018
This paper measures the adhesion/cohesion force among asphalt molecules at nanoscale level using an Atomic Force Microscopy (AFM) and models the moisture damage by applying state-of-the-art Computational Intelligence (CI) techniques (e.g., artificial...
Adult fly age estimations using cuticular hydrocarbons and Artificial Neural Networks in forensically important Calliphoridae species.
Forensic science international
Oct 8, 2017
Blowflies (Diptera: Calliphoridae) are forensically important as they are known to be one of the first to colonise human remains. The larval stage is typically used to assist a forensic entomologists with adult flies rarely used as they are difficult...
A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks.
Sensors (Basel, Switzerland)
Oct 25, 2016
Physical activity recognition based on sensors is a growing area of interest given the great advances in wearable sensors. Applications in various domains are taking advantage of the ease of obtaining data to monitor personal activities and behavior ...
Genetic programming based quantitative structure-retention relationships for the prediction of Kovats retention indices.
Journal of chromatography. A
Oct 1, 2015
The development of quantitative structure-retention relationships (QSRR) aims at constructing an appropriate linear/nonlinear model for the prediction of the retention behavior (such as Kovats retention index) of a solute on a chromatographic column....
Pavement type and wear condition classification from tire cavity acoustic measurements with artificial neural networks.
The Journal of the Acoustical Society of America
Jun 1, 2017
Tire road noise is the major contributor to traffic noise, which leads to general annoyance, speech interference, and sleep disturbances. Standardized methods to measure tire road noise are expensive, sophisticated to use, and they cannot be applied ...
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