We discuss its application in the context of experimental data and suggest potential clinical implications.
Early-time and late-time solutions for the model are also presented for convenient application for post processing of experimental data.
In [ 26], a review of alignment algorithms, by introducing their practical applications on different types of experimental data, is proposed.
An internet application called PromCal for evaluation of experimental data has also been developed and is freely accessible at http://web.fkkt.uni-lj.si/biokemija/nskrlj/tools/PromCal.php.php
To cope with this, we propose a new product line architecture (PLA) based scientific solution, the Ant-App-DB; a user friendly, smart phone and tablet application, helpful in efficient management of experimental data including location, date, time, geographical measurements, feeders, registered and unregistered ants.
Limitations of the model and their relations to experimental design are determined, and the method of application to experimental data is presented.
In fact, we can find numerous applications in physics, chemistry, aerodynamics, fitting of experimental data, control of dynamical systems, and signal and image processing, and so on.
The application of this study to the evaluation of experimental data and models is discussed.
Considering the application of the method to specific examples of experimental data, we note that care must be taken in the interpretation of the parameters discussed above and their effect on the accuracy potentially achievable.
The work is an impressive, original application of machine-learning algorithms to this type of experimental data, says Tremblay.
