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A Novel Hybrid Machine Learning-Based System Using Deep Learning Techniques and Meta-Heuristic Algorithms for Various Medical Datatypes Classification
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Medicine is one of the fields where the advancement of computer science is making significant progress. Some diseases require an immediate diagnosis in order to improve patient outcomes. The usage of computers in medicine improves precision and accelerates data processing and diagnosis. In order to categorize biological images, hybrid machine learning, a combination of various deep learning approaches, was utilized, and a meta-heuristic algorithm was provided in this research. In addition, two different medical datasets were introduced, one covering the magnetic resonance imaging (MRI) of brain tumors and the other dealing with chest X-rays (CXRs) of COVID-19. These datasets were introduced to the combination network that contained deep learning techniques, which were based on a convolutional neural network (CNN) or autoencoder, to extract features and combine them with the next step of the meta-heuristic algorithm in order to select optimal features using the particle swarm optimization (PSO) algorithm. This combination sought to reduce the dimensionality of the datasets while maintaining the original performance of the data. This is considered an innovative method and ensures highly accurate classification results across various medical datasets. Several classifiers were employed to predict the diseases. The COVID-19 dataset found that the highest accuracy was 99.76% using the combination of CNN-PSO-SVM. In comparison, the brain tumor dataset obtained 99.51% accuracy, the highest accuracy derived using the combination method of autoencoder-PSO-KNN.

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Publication Date
Thu May 13 2004
Journal Name
The College Of Arts/ Al-mustansiriyya University
The Linguistic Aspect of Euphemism in Jane Austen's Novel Emma: Motivation and Formation
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APDBN Rashid, The College of Arts/ Al-Mustansiriyya University, 2004

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Publication Date
Thu Aug 08 2024
Journal Name
New Materials, Compounds And Applications
MOLECULAR MODELLING AND THEORETICAL DESIGN OF NOVEL NIRMATRELVIR DERIVATIVES AS SARS-COV-2 ENTRY INHIBITORS
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The pandemic SARS-CoV-2 is highly transmittable with its proliferation among nations. This study aims to design and exploring the efficacy of novel nirmatrelvir derivatives as SARS entry inhibitors by adapting a molecular modeling approach combined with theoretical design. The study focuses on the preparation of these derivatives and understanding their effectiveness, with a special focus on their binding affinity to the S protein, which is pivotal for the virus’s access to the host cell. Considering molecular docking aspects in the scope of a study on nirmatrelvir derivatives and S protein, dynamics simulations with 25 nanoseconds of their binding are explored. The study shows that these derivatives might work as effective antivi

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Publication Date
Fri Sep 22 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
B(Ml) and (I1 II f<MJ) II li) for one and two bodies of even-even Ba(A=l30-136) isotopes using IBM-1
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In   the   present    work    the    nuclear    structure   of   even-even

Ba(A=130-136,   Z=56)  isotopes   was  studied   using  (IBM-1).  The reduced matrix  element of magnetic dipole moment  (11  II f(Ml) II/,) and the magnetic dipole transitions probability B(M 1) were calculated

for one and two bodies of even-even Ba(A=lJ0-136, Z=56). A good

agreement had been found of present with available experimental  data.

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Publication Date
Sun Aug 13 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Calculating the Resolving Power For Symmetrical Double Pole Piece Magnetic Lenses By Using A Preassigned Analytical Functions
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 In this theoretical paper  and depending on the optimization synthesis method for electron magnetic lenses a theoretical  computational investigation was carried out to calculate the Resolving Power for the symmetrical double pole piece magnetic lenses,  under the absence of magnetic saturation, operated by the mode of telescopic operation by using symmetrical magnetic field for some analytical functions well-known in electron optics such as Glaser’s Bell-shaped model,  Grivet-Lenz model, Gaussian field model  and Hyperbolic tangent field model.       This work can be extended further by using the same or other models for asymmetrical or symmetrical axial magnetic field

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Publication Date
Mon Jun 09 2025
Journal Name
Journal Mustansiriyah Of Sports Science
The Effect of Ocular Reflex Exercises Using a Proposed Device on Eyes - Hands Coordination for Junior Boxers
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Publication Date
Mon Jan 13 2020
Journal Name
Day 3 Wed, January 15, 2020
Numerical Simulation of Gas Lift Optimization Using Genetic Algorithm for a Middle East Oil Field: Feasibility Study
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<p>Gas-lift technique plays an important role in sustaining oil production, especially from a mature field when the reservoirs’ natural energy becomes insufficient. However, optimally allocation of the gas injection rate in a large field through its gas-lift network system towards maximization of oil production rate is a challenging task. The conventional gas-lift optimization problems may become inefficient and incapable of modelling the gas-lift optimization in a large network system with problems associated with multi-objective, multi-constrained, and limited gas injection rate. The key objective of this study is to assess the feasibility of utilizing the Genetic Algorithm (GA) technique to optimize t</p> ... Show More
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Publication Date
Fri Jun 30 2023
Journal Name
Pakistan Heart Journal
Music Medicine Intervention--Based Program for Reducing Pain and Anxiety of Children Undergoing Bone Marrow Aspiration and Lumber Puncture Procedures
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Publication Date
Tue Jan 01 2013
Journal Name
Uob
Effect of Irrigation Levels and Organic Matter in The Growth, Yield and its Quality for Chilli Pepper Under Organic Farming System
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Publication Date
Fri Oct 01 2021
Journal Name
The Iraqi Postgraduate Medical Journal
Knowledge of Hypertensive Patients Attending Al-Imamein Kadhimein Medical City Regarding Follow-Up Visits
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Publication Date
Sat Oct 01 2022
Journal Name
Revue Française D'allergologie
Knowledge among medical students regarding the prevention of future risk of allergic contact dermatitis
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