Implementation of remote sensing for vegetation studying using vegetation indices and automatic feature space plot
Publication Date
Tue Oct 01 2019
Journal Name
Environmental Earth Sciences
(7)
Publication Date
Thu Sep 01 2022
Journal Name
Computers And Electrical Engineering
(12)
(5)
Publication Date
Wed Dec 14 2016
Journal Name
Journal Of Baghdad College Of Dentistry
Evaluation of Mandibular Third Molar Position by Using Space-Width Ratio Method
Background: The prediction of changes in the mandibular third molar position and eruption is an important clinical concern because third molar retention may be beneficial for orthodontic anchorage. The aims of this study were to assess the mandibular third molar position by using medical CT scan and lateral reconstructed radiograph and evaluate gender differences. Materials and Methods: The sample of present study consisted of 39 patients (18 males and 21 females) with age range 11-15 years who were attending at Al-Suwayra General Hospital/ the Computerized Tomography department. The distance from anterior edge of ramus to distal surface of permanent mandibular second molar and mesio-distal width of developing mandibular third molar were
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Publication Date
Sun Jul 01 2018
Journal Name
Pakistan Journal Of Biotechnology
Correlation between BOD5 and COD for Al-Diwaniyah wastewater treatment plants to obtain biodegradability indices.
BOD5
COD
BOD5/COD ratio
Biodegradability indices
BOD5 and COD correlations
The present study aims to establish an empirical correlation between biochemical oxygen demand (BOD5) and chemical oxygen demand (COD) of the sewage flowing in Al-Diwaniyah wastewater treatment plant. The strength of the wastewater entering the plant varied from medium to high. High concentrations of BOD5 and COD in the effluent were obtained due to the poor performance of the plant. This was observed from the BOD5 /COD ratios that did not confirm with the typical ratios for the treated sewage. Regression equations for BOD5 and COD removal percentages were suggested which can be used to evaluate rapid effluent assessment after the treatment processes or optimal process control to improve the performance of wastewater treatment plants.
... Show MorePublication Date
Thu Sep 30 2004
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Publication Date
Tue Feb 01 2022
Journal Name
Chalcogenide Letters
(9)
Publication Date
Tue Feb 01 2022
Journal Name
Chalcogenide Letters
Copper telluride thin films for gas sensing applications
Gas sensor
Cu2Te
Thin films
Copper telluride
Copper Telluride Thin films of thickness 700nm and 900nm, prepared thin films using thermal evaporation on cleaned Si substrates kept at 300K under the vacuum about (4x10-5 ) mbar. The XRD analysis and (AFM) measurements use to study structure properties. The sensitivity (S) of the fabricated sensors to NO2 and H2 was measured at room temperature. The experimental relationship between S and thickness of the sensitive film was investigated, and higher S values were recorded for thicker sensors. Results showed that the best sensitivity was attributed to the Cu2Te film of 900 nm thickness at the H2 gas.
(10)
Publication Date
Mon Dec 01 2014
Journal Name
2014 Ieee Student Conference On Research And Development
(11)
(10)
Publication Date
Sun Dec 06 2015
Journal Name
Baghdad Science Journal
Energy Calculation for Excited Lithium Atom in Position Space
Energy expectation value
Atomic systems
Ground and excited states
Hartree- Fock approximation.
The energy expectation values for Li and Li-like ions ( , and ) have been calculated and examined within the ground state and the excited state in position space. The partitioning technique of Hartree-Fock (H-F) has been used for existing wave functions.
Publication Date
Sat Oct 31 2020
Journal Name
International Journal Of Intelligent Engineering And Systems
Automatic Computer Aided Diagnostic for COVID-19 Based on Chest X-Ray Image and Particle Swarm Intelligence
COVID-19
Chest X-ray
Li s' method
Particle swarm intelligence
Laws' masks
Gray level co-occurrence matrix (GLCM)
Weighted voting
Support vector machine (SVM)
(25)
(7)