Khairiyah Saeed Abduljabbar

Khairiyah Saeed Abduljabbar
Al-Nahrain University · Department of Computer Science

Master of Computer Science

About

4
Publications
519
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1
Citation
Introduction
Image processing , CNN,
Skills and Expertise
Image Processing
Feature Extraction
Image Segmentation
C++
Image Recognition
Image Analysis
Image Compression
Image Data Analysis
Digital Watermarking
Wavelet Analysis

Publications

Publications (4)
Figure 3. Comparison of throughput in proposed and existing protocols
Figure 4. Comparison of PDR in proposed and existing protocols
Figure 5. Comparison of E2E delay in proposed and existing protocols
A novel fusion-based approach for the classification of packets in wireless body area networks
Research
Full-text available
  • Jun 2024
This abstract focuses on the significance of wireless body area networks (WBANs) as a cutting-edge and self-governing technology, which has garnered substantial attention from researchers. The central challenge faced by WBANs revolves around upholding quality of service (QoS) within rapidly evolving sectors like healthcare. The intricate task of ma...
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Figure 1: Types of HEp-2 staining pattern at cell levels, including...
Figure 2: The proposed DCNN classification procedure of segmented HEp-2...
Figure 3: An example of a architecture of CNN, including a feature...
Figure 4: The Softmax function and an example of how the function...
+2 Figure 5: Contrast stretched cell images (Row-1), in addition to their...
Automated Classification of Cell Level of HEp-2 Microscopic Images Using Deep Convolutional Neural Networks-Based Diameter Distance Features
Article
Full-text available
  • May 2023
To identify autoimmune diseases in humans, analysis of HEp-2 staining patterns at cell level is the gold standard for clinical practice research communities. An automated procedure is a complicated task due to variations in cell densities, sizes, shapes and patterns, overfitting of features, large-scale data volume, stained cells and poor quality o...
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Figure (3)B Sorting pass of SPIHT algorithm [7]
Using Modified Set Partitioning In Hierarchical Tree Algorithm with Discreet Cosine Transform to Compress Color Images
Article
Full-text available
  • Oct 2010
The aim of this research is to investigate the performance of a suggested image compression system. The scheme of the proposed system utilizes Tap 9 /7 wavelet transforms to decompose the image signal, and then uses Discrete Cosine Transform (DCT), and uniform quantization; to compress the approximate coefficients. The detail coefficients are coded...
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