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CT scan and deep learning for COVID-19 detection
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Publication Date
Wed Apr 15 2020
Journal Name
Journal Of The Faculty Of Medicine Baghdad
SARS-CoV-2(COVID-19)
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Coronaviruses are a large family of viruses which may cause illness in animals or humans.  In humans, seven strains of coronaviruses were recognized to cause respiratory infections ranging from the common cold associated with HKU1, NL63, OC43 and 229E viruses to more severe diseases such as Severe Acute Respiratory Syndrome (SARS) during 2002, Middle East Respiratory Syndrome (MERS) during 2012, and the COVID-19 that started during December 2019 in Wuhan, China.

This is a review for the current pandemic

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Publication Date
Thu Jun 01 2023
Journal Name
International Journal Of Electrical And Computer Engineering (ijece)
An optimized deep learning model for optical character recognition applications
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The convolutional neural networks (CNN) are among the most utilized neural networks in various applications, including deep learning. In recent years, the continuing extension of CNN into increasingly complicated domains has made its training process more difficult. Thus, researchers adopted optimized hybrid algorithms to address this problem. In this work, a novel chaotic black hole algorithm-based approach was created for the training of CNN to optimize its performance via avoidance of entrapment in the local minima. The logistic chaotic map was used to initialize the population instead of using the uniform distribution. The proposed training algorithm was developed based on a specific benchmark problem for optical character recog

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Publication Date
Sun Jan 01 2023
Journal Name
Computers, Materials & Continua
Hybrid Deep Learning Enabled Load Prediction for Energy Storage Systems
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Publication Date
Tue Apr 30 2024
Journal Name
International Journal On Technical And Physical Problems Of Engineering
Deep Learning Techniques For Skull Stripping of Brain MR Images
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Deep Learning Techniques For Skull Stripping of Brain MR Images

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Publication Date
Thu Dec 29 2022
Journal Name
Arterial Hypertension
Correlation between coronary artery calcium score and aorta diameter in population with long-standing hypertension using noncontrast CT scan
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Publication Date
Sun Nov 01 2020
Journal Name
Travel Medicine And Infectious Disease
Incidence of the COVID-19 in Iraq – Implications for travellers
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Publication Date
Sat Mar 26 2022
Journal Name
Al-rafidain Journal Of Medical Sciences ( Issn: 2789-3219 )
Major Drivers for COVID-19 Vaccine Acceptance: A Scoping Review
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Objective: To review and identify the major drivers for COVID-19 vaccine acceptance. Methods: A scoping review of studies of COVID-19 vaccine perceptions and barriers to using the COVID-19 vaccines. Two search engines, including PubMed and Google Scholar, were purposefully searched. Results: Eight studies from different countries were reviewed to categorize factors influencing people's acceptance of COVID-19 according to the Health Belief Model (HBM). Perceived susceptibility, and severity of the disease (COVID-19), in addition to perceived benefits of COVID-19 vaccination and "cues to action", can enhance vaccination acceptance. In contrast, perceived barriers to the COVID-19 vaccine can increase people's hesitancy to be vaccinated

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Publication Date
Wed May 27 2020
Journal Name
Research Gate
Information Booklet COVID-19 Graphs For Iraq First 3 Months
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This booklet contains the basic data and graphs forCOVID-19 in Iraq during the first three months of thepandemic ( 24 February to 19 May - 2020 ) , It isperformed to help researchers regarding this health problem (PDF) Information Booklet COVID-19 Graphs For Iraq First 3 Months. Available from: https://www.researchgate.net/publication/341655944_Information_Booklet_COVID-19_Graphs_For_Iraq_First_3_Months#fullTextFileContent [accessed Oct 26 2024].

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Publication Date
Sun Jan 01 2023
Journal Name
Communications In Mathematical Biology And Neuroscience
A reliable numerical simulation technique for solving COVID-19 model
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Publication Date
Mon Oct 17 2022
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Measurement of the serum level of Elabela for the early detection of acute kidney injury in hospitalized Iraqi COVID-19 patients
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Background: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is caused coronavirus disease
2019 (COVID-19) affecting people worldwide. The angiotensin converting enzyme2 (ACE2) represents a
receptor of SARS-CoV-2 on the infected host cell. Apelin or its receptor agonists suppress the production of
angiotensin-converting enzyme (ACE) and angiotensin II (Ang-II) and is characterized by a protective effect
against SARS-CoV-2.
Objective: The study aims to assess the serum level of Elabela biomarker as an early detector for Acute
Kidney Injury (AKI) in patients with COVID-19.
Cases and Methods: This is a case-control study which included 45 hospitalized adult patients in multiple
centers (pu

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