Study of sound absorption of micro perforated panel with visco-thermal
effects

Esraa Al-Ameri; Azma Putra; Ali Mosa; R. M. Dan

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Publication Date

Sun Aug 18 2019

Journal Name

Proceedings Of Mechanical Engineering Research Day 2019,

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Study of sound absorption of micro perforated panel with visco-thermal effects

Sound absorption

inhomogeneous MPP

finite element method (FEM)

Esraa Al-Ameri

Azma Putra

Ali Mosa

R. M. Dan

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Publication Date

Thu Jul 02 2026

Journal Name

Innovative Construction And Petrochemical Technologies

Improving Arabic Text Classification Accuracy Using Lightweight NLP Techniques

Arabic natural language processing

Arabic text classification

TF-IDF method

Chi-Square feature selection

linear SVM classifier

Logistic Regression

BiLSTM

AraBERT

efficient NLP models

accuracy and efficiency trade-off

Rasha

Safana

Sarah

Reiam

Rusul

Liqaa

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Arabic text classification is a challenging task because of the complex morphology of the language, the existence of different writing forms and a multitude of dialects, which can result in sparser common text representations. While transformer models such as AraBERT have obtained superior results on many Arabic NLP tasks, their high computational requirements make them difficult to deploy in environments with limited hardware resources. In some cases this can also make the model less practical for researchers working with basic computer systems. This study focuses on a more practical issue: how much accuracy a simple classifier may lose when the amount of required computation is reduced. We use a combined TF-IDF representation based on bo

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Publication Date

Sat Dec 30 2023

Journal Name

Journal Of Economics And Administrative Sciences

The Cluster Analysis by Using Nonparametric Cubic B-Spline Modeling for Longitudinal Data

البيانات الطولية

نموذج الشرائح B-spline التكعيبية اللامعلمية

التحليل العنقودي

طريقة الاتجاه المتناوب لخوارزمية المضاعف ADMM.

Longitudinal Data

Nonparametric Cubic B-Spline

Cluster Analysis

The Alternating Direction Method for Multiplier Algorithm ADMM.

Noor

Suhail

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Longitudinal data is becoming increasingly common, especially in the medical and economic fields, and various methods have been analyzed and developed to analyze this type of data.

In this research, the focus was on compiling and analyzing this data, as cluster analysis plays an important role in identifying and grouping co-expressed subfiles over time and employing them on the nonparametric smoothing cubic B-spline model, which is characterized by providing continuous first and second derivatives, resulting in a smoother curve with fewer abrupt changes in slope. It is also more flexible and can pick up on more complex patterns and fluctuations in the data.

The longitudinal balanced data profile was compiled into subgroup

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Publication Date

Mon Jun 05 2023

Journal Name

Journal Of Economics And Administrative Sciences

Fuzzy Bridge Regression Model Estimating via Simulation

Fuzzy linear regression

Fuzzy least squares method

Fuzzy Bridge regression

multicollinearity

triangular fuzzy numbers

Variance Inflation Factor.

الانحدار الخطي الضبابي

طريقة المربعات الصغرى الضبابية

انحدار الجسر الضبابي

التعدد الخطي

الأرقام الضبابية المثلثية

عامل تضخم التباين.

Rawya

Mohammed

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The main problem when dealing with fuzzy data variables is that it cannot be formed by a model that represents the data through the method of Fuzzy Least Squares Estimator (FLSE) which gives false estimates of the invalidity of the method in the case of the existence of the problem of multicollinearity. To overcome this problem, the Fuzzy Bridge Regression Estimator (FBRE) Method was relied upon to estimate a fuzzy linear regression model by triangular fuzzy numbers. Moreover, the detection of the problem of multicollinearity in the fuzzy data can be done by using Variance Inflation Factor when the inputs variable of the model crisp, output variable, and parameters are fuzzed. The results were compared usin

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(2)

Publication Date

Thu Aug 01 2019

Journal Name

Journal Of Economics And Administrative Sciences

مقارنة مقدرات بيز لدالة المعولية لتوزيع باريتو من النوع الاول باستعمال دوال معلوماتية مضاعفة مختلفة

Pareto type I distribution

reliability function

bayes method

double prior distributions (chi-gamma square distribution. gamma- erlang distribution

erlang exponential distribution

the squared error loss function.

توزيع باريتو من النوع الاول

دالة المعولية

طريقة بيز

الدوال المعلوماتية المضاعفة : توزيع مربع كاي- كاما

توزيع كاما - ارلنك

التوزيع ارلنك- الاسي

دالة الخسارة التربيعية.

جنان عباس

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The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for

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