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The applications are developed using two different software development languages; C and COBOL.
The index was developed using two databases totalizing 37,772 Canadian and US adults seeking treatment for spine ailments.
For such purpose deterministic algorithms for power loss identification were developed using two different approaches.
Ligand-based pharmacophore models of N-Aryl and N-Heteroaryl piperazine α1A-antagonists were developed using two separate training sets.
These features are developed using two computational intelligence techniques, namely artificial neural networks and Takagi-Sugeno fuzzy models.
The theory for sample surveys has been developed using two theoretical frameworks: design-based and model-based.
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The application is developed using nine environmental variables with a potential effect on the development of clinical manifestations in allergic individuals.
The measures on use pattern were developed using three use pattern scales, which are activities, passive activity and active activity.
A handwriting input system was developed using three collinear ultrasonic transducers.
In addition, an external validation process was developed using four bibliographical references.
The neural network metamodels are developed using six different experimental design approaches.
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