Reviewer Acknowledgements for Computer and Information Science, Vol. 13, No. 1

Cover vol. 13, no. 1, February 2016

ABSTRACTS IN PERSIAN Vol.13, No.1

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Computer and Information Science, ISSN 1913-8989, Vol. 1, No. 1, February 2008

The main goal of the presented work is to analyse the performance of the Multi-Layer Perceptron (MLP) neural network for flow regime classification based on sets of simulated Electrical Capacitance Tomography (ECT) data. Normalised ECT data have been used to separately train several MLPs employing various commonly used back-propagation learning algorithms, namely the Levenberg-Marquardt (LM), Q...

Computer and Information Science, ISSN 1913-8989, Vol. 1, No. 1, February 2008

This work implements an enhanced Bayesian classifier with better performance as compared to the ordinary naïve Bayes classifier when used with domains and datasets of varying characteristics. Text classification is an active and on-going research field of Artificial Intelligence (AI). Text classification is defined as the task of learning methods for categorising collections of electronic text ...

Computer and Information Science, ISSN 1913-8989, Vol. 1, No. 1, February 2008

This article introduces the design principle and implementation method of the automatic judgment software of terminal in sports competition. Image recognition technology makes the competition management level achieve equality, justice, precision and high efficiency, This actualizing automatic judgment by means of recognition model for sports imaging, which is based on the principle of radio fre...