Walid M. Aly

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Problem statement: Solving the state assignment problem means finding the optimum assignment for each state within a sequential digital circuit. These optimum assignments will result in decreasing the hardware realization cost and increasing the reliability of the digital circuit. Unfortunately, the state assignment problem belongs to the class of(More)
Automatic clustering of unstructured documents has become an essentially indispensible task, especially when dealing with the increasing electronic documents. Automatic clustering of documents involves document designation to a subgroup based on its content. K-means is one of the most popular unsupervised clustering algorithms, though the quality of its(More)
This paper presents a model to observation the Cloud computing for any anomalous activity. Hadoop it is a largely used open source Cloud Computing framework to huge data. It uses the model Machine Learning technique to detect classify anomalies of sensory observation and help to in ensuring the stabilization of virtual sensor networks. The framework it's(More)
This paper aims at developing a system that is capable of classifying Arabic and English un-structured documents; it proposes to classify these documents in consecutive two phases. In the first phase, incremental Automated Domain-Meta-Document Construction (ADC) algorithm is applied as a new automated machine learning approach. ADC constructs updatable(More)
Cuckoo Search is gaining a lot of attention as a new soft computing technique inspired by nature,in this research the application of Cuckoo Search for solving the problem of estimating the parameters of a nonlinear model is investigated from both aspects of efficiency and robustness. Using a case study of estimation of parameters of a nonlinear model for(More)
Educational data mining is a specific data mining field applied to data originating from educational environments, it relies on different approaches to discover hidden knowledge from the available data. Among these approaches are machine learning techniques which are used to build a system that acquires hidden knowledge from previous data. Machine learning(More)
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