doi:10.21123/bsj.2010.7.2.1076-1081

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Publication Date

Sun Jun 06 2010

Journal Name

Baghdad Science Journal

Volume

7

Issue Number

2

DOI

10.21123/bsj.2010.7.2.1076-1081

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Using Neural Network with Speaker Applications

"Speaker recognition

data enhancement

MLP"

Alaa noori

Samira faris

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In Automatic Speech Recognition (ASR) the non-linear data projection provided by a one hidden layer Multilayer Perceptron (MLP), trained to recognize phonemes, and has previous experiments to provide feature enhancement substantially increased ASR performance, especially in noise. Previous attempts to apply an analogous approach to speaker identification have not succeeded in improving performance, except by combining MLP processed features with other features. We present test results for the TIMIT database which show that the advantage of MLP preprocessing for open set speaker identification increases with the number of speakers used to train the MLP and that improved identification is obtained as this number increases beyond sixty. We also present a method for selecting the speakers used for MLP training which further improves identification performance.

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Publication Date

Sun Jan 10 2016

Journal Name

British Journal Of Applied Science & Technology

The Effect of Classification Methods on Facial Emotion Recognition ‎Accuracy

Facial emotions

feature selection

data clustering

modified K-Means clustering algorithm

LDA algorithm

Statistical classifier

Neural Network

Support Vector Machine (SVM)

Suhaila N.

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The interests toward developing accurate automatic face emotion recognition methodologies are growing vastly, and it is still one of an ever growing research field in the region of computer vision, artificial intelligent and automation. However, there is a challenge to build an automated system which equals human ability to recognize facial emotion because of the lack of an effective facial feature descriptor and the difficulty of choosing proper classification method. In this paper, a geometric based feature vector has been proposed. For the classification purpose, three different types of classification methods are tested: statistical, artificial neural network (NN) and Support Vector Machine (SVM). A modified K-Means clustering algorithm

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(2)

Publication Date

Thu Apr 13 2017

Journal Name

Ibn Al-haitham Journal For Pure And Applied Sciences

Estimate Complete the Survival Function for Real Data of Lung Cancer Patients

Nonparametric Estimation

Lung Cancer Disease

Complete Real Data

Empirical Estimator

Borkowf â€“type estimator

Thompsonâ€“ type estimator

and Nelson-Aalen Estimator

Mean Squares Error

Abbas N.

Ibtehal H.

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In this paper, we estimate the survival function for the patients of lung cancer using different nonparametric estimation methods depending on sample from complete real data which describe the duration of survivor for patients who suffer from the lung cancer based on diagnosis of disease or the enter of patients in a hospital for period of two years (starting with 2012 to the end of 2013). Comparisons between the mentioned estimation methods has been performed using statistical indicator mean squares error, concluding that the survival function for the lung cancer by using shrinkage method is the best

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Publication Date

Tue Dec 31 2019

Journal Name

Journal Of Economics And Administrative Sciences

The investment Decision Making According to the Preliminary Feasibility Study for the 100-Bed Teaching Hospital - Service Sector in Diwaniya Governorate (Case Study)

: preliminary feasibility study

Economic study

Diwaniya Hospital. Duration of data approved in the study: 2006 and 2014-2017.

دراسة جدوى اولية

دراسة اقتصادية

مستشفى الديوانية.

Zinah Muayad

Mohammed Jasim

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The research aims to prepare a preliminary feasibility study that shows the importance of preliminary feasibility study in investment decision making, carrying out of the local demand of service provided in accordance with international standards and statement of investment opportunities available to the private sector in several investment methods. In order to reach the objectives of the study was adopted as a method of partial analysis at the level of economic unity through the study demand, supply, costs, economic and social profitability.

The health sector in Iraq is one of the service sectors facing today a continuous deficiency

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Publication Date

Mon Apr 24 2017

Journal Name

Ibn Al-haitham Journal For Pure And Applied Sciences

Estimate the Parameters and Related Probability Functions for Data of the Patients of Lymph Glands Cancer via Birnbaum-Saunders Model

Birnbaum-Saunders Distribution

Lymph Glands Cancer Disease

Complete Real Data

Maximum Likelihood Estimator

Regression Quantile(Least Square) Method and Shrinkage Estimator

Mean Squares Error and Mean Absolute Percentage Error.

Abbas N.

Taha A.

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In this paper,we estimate the parameters and related probability functions, survival function, cumulative distribution function , hazard function(failure rate) and failure (death) probability function(pdf) for two parameters Birnbaum-Saunders distribution which is fitting the complete data for the patients of lymph glands cancer. Estimating the parameters (shape and scale) using (maximum likelihood , regression quantile and shrinkage) methods and then compute the value of mentioned related probability functions depending on sample from real data which describe the duration of survivor for patients who suffer from the lymph glands cancer based on diagnosis of disease or the inter of patients in a hospital for perio

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Publication Date

Sat Oct 01 2016

Journal Name

Journal Of Theoretical And Applied Information Technology

Factors affecting global virtual teams’ performance in software projects

Today the trend is to perform software development work via distributed geographical area among team

individual or even as an organization. However

due to the global market and international presence of many companies

there is a need to implement a global virtual teams. The global virtual team members are gradually engaged in globalized business environments across space

time and organizational boundaries via information and communication technologies. A global virtual team relies on communication

collaboration

and information exchange are the most important criteria in global virtual teams’ operations. The purpose of this paper is to answer two research questions. The first research question is to identify the factors affecting global virtual teams’ performance. A systematic literature review was conducted to answer the first research question. The second research question is on what the rank of the factor affecting the global virtual teams’ performance according to their level of effect on global virtual teams’ performance. Online survey was conducted within 103 developers and IT managers from eight IT companies to answer the second research question. The Statistical Package for Social Science (SPSS 22) was used to analyze the collected data. In this study

we investigated factors that affect global virtual teams’ performance

factors considered include cultural differences

language problems

time-zone differences

team size

technical problems

lack of trust

lack of sufficient training

and ICT problems. Also the findings indicated that lack of sufficient training is the highest level of effect on global virtual teams’ performance. On the other hand

Ali Yahya Gheni

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