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Handwritten characters recognition is a challenging task due to the diversity of writing styles. In the present paper, a new offline recognition system based on deep convolutional neural networks (CNNs) is designed. It uses CNNs to extract features from raw pixels which makes the proposed technique more flexible than the other conventional ones that require a set of additional preprocessing steps...
In this paper we present a programming language for writing programs for matrices operations, such as addition, subtraction, multiplication, determinant, inverse and cofactors and so on. This language operates with any dimension matrices. The instructions of this language are simple to use and learn by mathematicians at high school and to elaborate LATEX format courses with a minimal efforts, because...
Sensor technologies are vital today in gathering information about certain environments and Wireless Sensors Networks (WSNs) are getting more widespread use every day. The recent advances in Wireless Sensor Networks open new scenarios where sensors can be rapidly deployed without any existing infrastructure. Such networks are useful in many fields, such as smart grid, smart water networks, intelligent...
In the past 35 years more than 100 software reliability models are proposed. Most of them are parametric models. In this paper we present a comparative study of different non-parametric models based on the neural networks and regression model learned by the real coded genetic algorithm to predict the cumulative failure in the software. Experimental results show that the training of different models...
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