doi:10.30526/33.1.2370

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Publication Date

Mon Jan 20 2020

Journal Name

Ibn Al-haitham Journal For Pure And Applied Sciences

Volume

33

Issue Number

1

DOI

10.30526/33.1.2370

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Estimation of Uranium Concentration in Urine Samples of Kidneys Failure Patients in Al- Muthanna Governorate

Uranium concentrations

Urine samples

Fission Track technique.

Muayad M.

Khalid H.

Weam S.

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The measurement of uranium concentration in human urine is very important in assessment of occupational and public exposure to uranium. In the present work, the fission track technique was used to decide uranium concentration in blood of Kidneys Failure Patients in Al- Muthanna Governorate. The uranium concentration values in urine samples of Kidneys Failure Patients ranged between 0.92 to 4.87 , while Healthy group results were ranged 0.91 to 1.82 . Results showed that the concentration of uranium in the URINE increases in kidney failure patients

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Publication Date

Sat Sep 30 2023

Journal Name

Iraqi Journal Of Science

Hybrid CNN-SMOTE-BGMM Deep Learning Framework for Network Intrusion Detection using Unbalanced Dataset

Bayesian Gaussian Mixture Model

Convolutional Neural Network

Deep Learning

Extreme Gradient Boosting

Machine Learning

Recursive Feature Elimination

Synthetic Minority Oversampling Technique

waad

Imad

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This paper proposes a new methodology for improving network security by introducing an optimised hybrid intrusion detection system (IDS) framework solution as a middle layer between the end devices. It considers the difficulty of updating databases to uncover new threats that plague firewalls and detection systems, in addition to big data challenges. The proposed framework introduces a supervised network IDS based on a deep learning technique of convolutional neural networks (CNN) using the UNSW-NB15 dataset. It implements recursive feature elimination (RFE) with extreme gradient boosting (XGB) to reduce resource and time consumption. Additionally, it reduces bias toward

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(3)

Publication Date

Mon Dec 23 2024

Journal Name

Journal Of Engineering

Image Compression Using 3-D Two-Level Techniques

Image compression

3-D two level wavelet transform

3-D two level multi-wavelet transform

3-D two level hybrid technique

Image data properties.

Zainab

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In this paper three techniques for image compression are implemented. The proposed techniques consist of three dimension (3-D) two level discrete wavelet transform (DWT), 3-D two level discrete multi-wavelet transform (DMWT) and 3-D two level hybrid (wavelet-multiwavelet transform) technique. Daubechies and Haar are used in discrete wavelet transform and Critically Sampled preprocessing is used in discrete multi-wavelet transform. The aim is to maintain to increase the compression ratio (CR) with respect to increase the level of the transformation in case of 3-D transformation, so, the compression ratio is measured for each level. To get a good compression, the image data properties, were measured, such as, image entropy (He), percent root-

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Publication Date

Mon Jun 05 2023

Journal Name

Journal Of Engineering

Image Compression Using 3-D Two-Level Technique

Image compression

3-D two level wavelet transform

3-D two level multi-wavelet transform

3-D two level hybrid technique

Image data properties

Zainab Ibraheem

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In this paper three techniques for image compression are implemented. The proposed techniques consist of three dimension (3-D) two level discrete wavelet transform (DWT), 3-D two level discrete multi-wavelet transform (DMWT) and 3-D two level hybrid (wavelet-multiwavelet transform) technique. Daubechies and Haar are used in discrete wavelet transform and Critically Sampled preprocessing is used in discrete multi-wavelet transform. The aim is to maintain to increase the compression ratio (CR) with respect to increase the level of the transformation in case of 3-D transformation, so, the compression ratio is measured for each level. To get a good compression, the image data properties, were measured, such as, image entropy (He), percent r

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