Development of new computational machine learning models for longitudinal dispersion coefficient determination: case study of natural streams, United States
(31)
Publication Date
Tue Jan 01 2013
Journal Name
Journal Of Geochemical Exploration
(35)
Publication Date
Wed Dec 01 2021
Journal Name
Computers & Electrical Engineering
(14)
Publication Date
Tue Dec 01 2009
Journal Name
Iraqi Journal Of Physics
The Calculation of the Charge Density Distributions and the Longitudinal Form Factors of 10 B Nucleus by Using the Occupation Numbers of the States
Charge Density Distributions
The charge density distributions of 10 B nucleus are calculated using the
harmonic oscillator wave functions. Elastic and inelastic electron scattering
longitudinal form factors have been calculated for the similar parity states of 10B
nucleus where a core of 4He is assumed and the remaining particles are
distributed over 3/ 2 1p and 1/ 2 1p orbits which form the model space.
Core-polarization effects are taken into account. Core-polarization effects are
calculated by using Tassie model and gives good agreement with the measured
data.
Publication Date
Wed May 17 2023
Journal Name
Journal Of Engineering
Development of Quality Rating Evaluation of Outgoing Product Case Study Applied at the General Company for Vegetable Oils
Quality rating system
Demerits per production unit
U – Chart
Quality
Control Chart for Attributes
Quality Audit.
Research covers the uses the method of Quality Rating Evaluation to evaluate the
quality of production through which a determination of product quality of its production in
order to determine the amount of sales hence the profits for the company. The most important
function is to satisfy consumer at reasonable prices. Methods were applied to the product
(toothpaste) in the General Company for Vegetable Oil – Almaamoon Factory .
The company's has obtained ISO-certified (ISO 9001-2008). Random samples of
final product intended for sale were collected from the store during months (February, April ,
June , October and December) for the year 2011 to determine the "quality rating " through
the applicat
Publication Date
Fri Jan 01 2021
Journal Name
Ieee Access
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(84)
Publication Date
Fri Jan 01 2021
Journal Name
Ieee Access
(14)
(15)
Publication Date
Thu Aug 01 2024
Journal Name
Advances In Science And Technology Research Journal
Power Predicting for Power Take-Off Shaft of a Disc Maize Silage Harvester Using Machine Learning
P.T.O. shaft applications
forward speeds
maize silage harvester
machine learning techniques
(6)
(1)
Publication Date
Sun Jun 23 2019
Journal Name
Arma
Safe Mud Weight Window Determination: A Case Study from Southern Iraq
wellbore integrity
failure criteria
mud pressure
proceedings
Wellbore Design
pore pressure
borehole
Reservoir Characterization
strength
failure criterion
ABSTRACT:. The Lower Cretaceous Zubair formation is comprised of sandstones intercalated with shale sequences. The main challenges that were encountered while drilling into this formation included severe wellbore instability-related issues across the weaker formations overlaying the reservoir section (pay zone). These issues have a significant impact on well costs and timeline. In this paper, a comprehensive geomechanical study was carried out to understand the causes of the wellbore failure and to improve drilling design and drilling performance on further development wells in the field. Failure criteria known as Mogi-Coulomb was used to determine an operating mud weight window required for safe drilling. The accuracy of the geomechanical
... Show MorePublication Date
Sun Sep 03 2023
Journal Name
Wireless Personal Communications
(7)
(4)
Publication Date
Tue Dec 01 2020
Journal Name
Journal Of Engineering
Development of Regression Models for Predicting Pavement Condition Index from the International Roughness Index
pavement evaluation
International Roughness Index
Pavement Condition Index
pavement roughness
Flexible pavements are considered an essential element of transportation infrastructure. So, evaluations of flexible pavement performance are necessary for the proper management of transportation infrastructure. Pavement condition index (PCI) and international roughness index (IRI) are common indices applied to evaluate pavement surface conditions. However, the pavement condition surveys to calculate PCI are costly and time-consuming as compared to IRI. This article focuses on developing regression models that predict PCI from IRI. Eighty-three flexible pavement sections, with section length equal to 250 m, were selected in Al-Diwaniyah, Iraq, to develop PCI-IRI relationships. In terms of the quantity and severity of eac
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(5)