Morteza Elahi Naraghi

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Electrocardiogram is one of the most prominent cardiac signals being capable to be utilized for medical uses such as arrhythmia detection. Over the years, the feasibility of using this signal for human identification issue has been investigated, and some methods have been proposed. In this Paper a novel approach is proposed for electrocardiogram (ECG) based(More)
In this Paper a new approach is proposed for electrocardiogram (ECG) based human identification using wavelet distance measurement. The main advantage of this method is that it guarantees high accuracy even in abnormal cases. Furthermore, it possesses low sensitivity to noise. The algorithm was applied on 11 normal subjects and 10 abnormal subjects of(More)
In this paper, a novel approach for estimation of stuck pipe probability based on Artificial Intelligence has been proposed. Stuck pipe is one of the most prominent troubles occurring while drilling operations, and causes great time and money cost; thus, prediction of drilling pipe sticking can significantly reduce the cost of drilling, and enhance the(More)
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