An Implementation Model for Courses in Human Resource Training M. Sami'ee Zafarghandi, Ph.D. To arrive at an effective model for implementing courses in human resource training different approaches to this task were critically reviewed and their constructive aspects reutilized. The new approach was then tested to identify any probable defect. The final model consists of basic elem...

identification of selection targeted genomic regions is one of the most challenging areas of research in animal genetics, particularly in livestock. we carried out a genome-wide scan for signatures of positive selection to identify genomic regions that had been under selection in iranian khuzestani and mazandrani buffalo breeds. a total of 148 water buffalo from khuzestani (n=121) and mazandran...

Recognition and classification of Power Quality Distorted Signals (PQDSs) in power systems is an essential duty. One of the noteworthy issues in Power Quality Analysis (PQA) is identification of distorted signals using an efficient scheme. This paper recommends a Time–Frequency Analysis (TFA), for extracting features, so-called "hybrid approach", using incorporation of Multi Resolution Analysis...

neural networks are applicable in identification systems from input-output data. in this report, we analyze thehammerstein-wiener models and identify them. thehammerstein-wiener systems are the simplest type of block orientednonlinear systems where the linear dynamic block issandwiched in between two static nonlinear blocks, whichappear in many engineering applications; the aim of nonlinearsyst...

In this notebook, we describe our approach to cope with the Author Profiling task on PAN17 which consists of both gender and language identification for Twitter’s users. We used our MicroTC (μTC) framework as the primary tool to create our classifiers. μTC follows a simple approach to text classification; it converts the problem of text classification to a model selection problem using several ...

Feature selection is an important area in the machine learning, specifically in pattern recognition. However, it has not received so many focuses in Writer Identification domain. Therefore, this paper is meant for exploring the usage of feature selection in this domain. Various filter and wrapper feature selection methods are selected and their performances are analyzed using image dataset from...