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Titlebook: Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2010; Roger Lee,Jixin Ma,Miltos Petridis Book

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Improving Accuracy of an Artificial Neural Network Model to Predict Effort and Errors in Embedded Sing artificial neural networks(ANNs). In addition, we perform an evaluation experiment that uses Welch’s t-test to compare the accuracy of the proposed ANN method with that of our original ANN model. The results show that the proposed ANN model is more accurate than the original one in predicting th
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COID: Maintaining Case Method Based on Clustering, Outliers and Internal Detection,aling with a large case base. As a result, there has been a significant increase in the research area of Case Base Maintenance (CBM)..This paper proposes a case-base maintenance method based on the machine-learning techniques, it is able to maintain the case bases by reducing its size and preserving
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Efficient Mining of High Utility Patterns over Data Streams with a Sliding Window Method,ng algorithms over stream data suffer from the level-wise candidate generation-and-test problem. Therefore, they need a large amount of execution time and memory. Moreover, their data structures are not suitable for interactive mining. To solve these problems of the existing algorithms, in this pape
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Resolving Sluices in Urdu,ch is followed for the resolution of sluices. Real text of Urdu language from different sources such as books, novels, magazines and web resources is taken into account for the testing of this algorithm. The algorithm achieved accuracy of 78%.
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