HAYDER HASAN OUDAH AL-GHANIMI

@hilla-unc.edu.iq

Hilla university college



                                

https://researchid.co/hayder_ok

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science

13

Scopus Publications

6

Scholar Citations

1

Scholar h-index

Scopus Publications

  • Advanced Gender Detection Using Deep Learning Algorithms Through Hand X-Ray Images
    Abdullah A. Jabber, Ali Kareem Abbas, Z.H. Kareem, R.Q. Malik, Hayder Al-Ghanimi, and Gahda A. Shadeed

    IEEE
    Identifying the gender, race, age, and stature of the target during the forensic inquiry is a critical stage in various events such as accidents, bombings, terrorism, wars, and disasters. In this paper, an application has been developed that uses hand X-rays to identify and determine gender for medical applications such as special cases where diagnosing the gender is difficult, like accidents in which the hand is amputated and unknown, severe burns, and in old skeletal structures using deep learning models. For comparative purposes, GoogLeNet and ResNet-18 were employed. Gender determination using hand X-rays yielded positive results. The accuracy of gender detection in the model GoogLeNet (validation, training, test, and total) is (76.67%, 96.68%, 53.33%, and 89.5%) respectively, while the accuracy of gender detection in the model ResNet-18 (validation, training, test, and total) are (80%, 99.29%, 87.5%, 94.63%) respectively. The ResNet-18 model was adopted as the best model for gender detection and determination because high results were obtained. Simulation results showed acceptable results with high accuracy in diagnosis, where the highest gender determination rate was obtained through hand X-ray analysis at 94.63%.

  • Detection of Attacks by Assessing the Performance of MD2, MD5 and SHA-1 Hashing Algorithms
    Hayder Al-Ghanimi, Mohammed Q. Mohammed, Malik Kareem Kadhim Alzeyadi, Tamarah Alaa Diame, Faris Hassan Taha Aldabbagh, and Mustafa Altaee

    IEEE
    In today's data-centric world, there is a significant emphasis on ensuring data security in order to protect valuable and confidential information. Data integrity plays a crucial role in this context as it guarantees the accuracy, consistency, and protection of data. In order to instill a high degree of belief in the integrity of a message, it is necessary to employ mechanisms that prevent any form of alteration or loss of data during transmission. One commonly used technique for this purpose. The given paper presents the comparison of hashing algorithms namely MD2, MD5 and SHA-1 based on parameters like bits changed and intervened time.

  • Development of technique for Increasing Directivity Different Shaped Microstrip Patch Antenna
    Tamarah Alaa Diame, Haitham Bashar Qasim, Hayder Al-Ghanimi, Ahmed Hussain, Omad Aldeen Hussen, and Zamen Latef Naser

    IEEE
    The main scope of this project is to produce a simulation for both H shaped and T shaped rectangular microstrip patch antennas with dielectric substrate of FR4 epoxy to increase the directivity at a frequency of 2.5 GHz. The patch antenna's rectangular dielectric substrate is 1.6 mm thick and has a dielectric constant of 4.4. The sample size of H shaped and T shaped rectangular patch antennas samples of 20 each. The total sample size is 40 and the impedance of bandwidth is over 60.72 % and return loss of directivity is -46 dB. The Directivity of the H-shaped patch antenna's rectangular patch antenna is 3.5740 better than the T shaped patch antenna with 1.5040 at 2.5GHz. From the result it is observed that the rectangular microstrip patch antenna of H shaped is better than T shaped and is used for improving high directivity.

  • Antenna Microstrip Patch Antenna Design of T Shape and Rectangular Shape for Improved Directivity
    Zahraa N. Abdulhussain, Haitham Bashar Qasim, Hayder Al-Ghanimi, Alaa. Shather, Hawraa Ali Sabah, and Haider Alchilibi

    IEEE
    The aim of this study is to increase the directivity of compact microstrip antenna with T slot shape for the particular frequency range in X band application compared with rectangular patch antenna. This proposed work consists of two groups. Group 1 is the rectangular shape antenna (experimental group) and group 2 is the T slot antenna (Control group). This proposed antenna has been designed by High Frequency Structure Simulator (HFSS) software version 19. The structure of the antenna is very compact in size and it has dimensions of $\\boldsymbol{9}\\mathbf{mm}\\times \\boldsymbol{12}\\mathbf{mm}\\times \\boldsymbol{1.6}\\mathbf{mm}$. The shape of the antenna is small and easy to fabricate when compared with other antennas. It has a G power of 80% and significance value is less than p<0.05. The designed and proposed antenna resonance properly at operating frequency or microwave frequency of 10 GHz with high directivity. This antenna provides better directivity of 3.9dB compared with the rectangular antenna. The directivity of the rectangular antenna is 2.4dB The novel T slot microstrip patch antenna operated properly with improved directivity at 10 GHz. This microstrip antenna works properly in the required frequency range than the existing antenna. It provides high directivity in all directions compared to rectangular slot antennas. Based on simulation results, it is significantly better for the X band applications and easy to fabricate for integrated circuits.

  • Detection system implementation in streaming video with High standard Accuracy Using Single-Shot Multi-Box Detector system with CNN
    Malik Jawarneh, Mohammed Q. Mohammed, Hayder Al-Ghanimi, Hussein Alaa Diame, Alaa M. Lafta, and Haider Alchilibi

    IEEE
    The purpose of this study is to compare the Single Shot Multi box Detector with the CNN algorithm approach for detecting face masks (SSD). The study consists of two groups: SSD and CNN algorithm approach, each with a sample size of 20. The pretest power used in the simulation was 0.8. accuracy values are computed to assess how well the SSD and CNN algorithm's function. The accuracy of the CNN algorithm technique and SSD was 92.65% and 81.76%, respectively. Given that the model's p (2-tailed) value is 0.000, the two groups differ significantly from one another. Inthis study, it was discovered that the CNN algorithm approach outperformed SSD substantially in terms of accuracy.

  • Capacity Enhancement Technique via CRAT in an MU-MIMO System with Statistical Power Analysis
    Tamarah Alaa Diame, Ali Hussein Alrubayi, Hayder Al-Ghanimi, Omad Aldeen Hussen, Haider Alchilibi, and Sahar R. Abdul Kadeem

    IEEE
    This study aims to compare the effectiveness of the CRA technique and PRA technique in an MU-MIMO system and determine which technique can better enrich the total capacity of the system. Group 1 developed the cooperative resource allocation algorithm, while Group 2 created the priority resource allocation algorithm. The statistical power analysis was performed using a G power level of 80% and an alpha value of 0.061. The study is expected to provide insights into the effectiveness of CRA and PRA techniques in an MU-MIMO system and determine which technique can better enrich the total capacity of the system. The study will also provide recommendations on the optimal number of users and resources that should be used to achieve the best performance using CRA and PRA techniques. The novel CRA technique outperforms the PRA technique in terms of sum capacity performance for the MU-MIMO of the wireless network.

  • Design a Novel Z-Shaped Antenna Using Rogers Substrate for Microwave Access Operations
    Hussein Alaa Diame, Haitham Bashar Qasim, Hayder Al-Ghanimi, Maryam Ghassan Majeed, Zahraa N. Abdulhussain, and Haider Alchilibi

    IEEE
    The research article describes the design, simulation of novel Z-shaped antenna with rogers substrate and comparison with rectangular micro-strip patch to minimize the return loss. Group 1 is considered a novel Z-shaped antenna with 20 samples and Group 2 is considered a rectangular micro-strip patch antenna with 20 samples while both the antennas use rogers substrate material. The total sample size is 40. The operating frequency of this antenna design is 2.39 GHz. Each group is collected for both antennas with a G-Power of 80%. The return loss obtained for a novel Z-shaped antenna with rogers substrate was -17.3344 dB at 2.39 GHz whereas the obtained return loss for a rectangular micro-strip patch using rogers substrate was -19.2351 dB at the same frequency. The significance value obtained in SPSS is 0.01 (p<0.05). In this study, it is observed that a novel Z-shaped antenna has significantly better return loss when compared with a rectangular patch.

  • S-Slot Antenna Design for the Application of ISM in Order to Obtain High Gain
    Haider Alchilibi, Ali Hussein Alrubayi, Hayder Al-Ghanimi, Tamarah Alaa Diame, Faris Hassan Taha, and Mustafa Altaee

    IEEE
    The primary objective of the research is to enhance the gain of an S slot antenna in multiple bands at frequencies of 2.1 GHz and 2.5 GHz, and to compare it with a rectangular patch antenna for ISM band applications. What is being recommended in terms of research materials and procedures can be broken down into two categories. Group 1 consists of rectangular antennas used in experiments, while Group 2 consists of T-slot antennas (Control group). In the proposed antenna design, the substrate height is 1.6 mm and substrate material is FR4, the relative permittivity is $\\boldsymbol{\\varepsilon}_{\\boldsymbol{r}}=\\mathbf{4}$, the base height is 0.035 mm, and the base material is copper. With an 80% probability, the samples are determined using the statistical tool G-power. Result: This S slot-antenna is operating RF of 2.1 GHz and 2.5 GHz with an improved gain of 3.9682 dB and 5.0707 dB respectively. This proposed antenna provides a higher gain compared to a rectangular antenna. It radiates energy with gain in all directions for data transmission without losses. The significance value is 0.01 which is lesser than 0.05. The circular patch antenna showed better performance, with a lower return loss, compared to the square array antenna.

  • Real Time Investigation of IoT Based Sun Follower
    Yusmi bin Mohd Yunus, Abdul Razzaq T. Zaboun, Hayder Al-Ghanimi, Hussein Alaa Diame, Alaa M. Lafta, and Haider Alchilibi

    IEEE
    The goal of this investigation is to explain the conceptualization, production, & evaluation of just one axis internet-connected sunlight surveillance systems. The detection model comprises of a number of sensors controlled by an Atari platform, as well as the language of things web page to display outcomes. In the present investigation, solar panels having a thirty WP capability were employed. On the fifth level for the Faculty of Electrical Engineering and Electronics at Universidad Negeri Se Padang, Indonesia the inspection procedure was conducted. Screening results' gathering of information occurs in immediate as well as will be shown as graphical data, Sensors that are attached to a computer and a WIFI device provide the data. Additionally, the information is transferred through a Thingspeak technology computer which might be seen on a laptop or an Android-powered gadget. In sunny skies, photovoltaic cells can provide power throughout 7:00 morning until 18:30 pm; however, in cloudy or wet conditions, power output drops & separates early, before nightfall. According to the experiment accomplishments, every record can be transferred correctly and promptly watched online. As a result, the tracking solar panel is successfully and quietly watched, while Google makes it simple to retrieve every record.

  • Fuzzy and LDR Based Sun Follower System
    Shaliza Alwi, Ali Hussein Alrubayi, Hayder Al-Ghanimi, Maryam Ghassan Majeed, Zahraa N.Abdulhussain, and Haider Alchilibi

    IEEE
    The amount of sun irradiation has a significant impact on the energy produced by these arrays. The work being done made use of dual-axis solar monitoring that relied on comparing the amount of light using fuzzy reasoning. Four Lights Depend Ratio (LDR) detectors & a single Arduino UNO microprocessor make up the circuitry of the framework, which measures the highest incident sun irradiation concentration. To look for the heading of the celestial body, two energy casement propellers (just one per the direction that is horizontal as well as a second per the one that runs vertically) operate in tandem at first. Every direction of movement's method operates on the fuzzy logic controlling device operates the electric screen motors in accordance with the signals received provided by the Light monitors. The microchip gets an optimal conclusion about which way the photovoltaic (PV) module ought to turn and where it must remain with the aid of the controller using fuzzy logic. By the end, the photovoltaic surveillance system functions at minimal energy intake and produces light with an outstanding efficiency.

  • Incorporation of Agents with Ontology to Develop a Healthcare Assessment Provision System
    Yogesh Hole, Alaa Shather, Ali Hussein Alrubayi, Hawraa Ali Sabah, Hayder Al-Ghanimi, and Haider Alchilibi

    IEEE
    Extracting useful patient information from a multitude of web pages and traditional hospital systems, and afterwards displaying these search results in a comprehensible manner, is a challenging undertaking. This is achieved via the implementation of conventional methodologies that aid in the anticipation of infections and ailments, such as heart attacks and several others. However, a disheartening aspect is that these conventional approaches were inadequate in detecting early indications of the human health system. The resolution to this issue may be found by utilizing an agent-based integration method, facilitated by the utilization of ontologies. This research focuses on the integration of data linked to human health, both structured and unstructured, using a suggested system that utilizes ontological-based agents. These agents work together to coordinate and semantically integrate external data sources. The process of integrating data leads to the derivation of new knowledge based on a set of rules, so transforming it into a multi-agent decision support system. The algorithm under consideration demonstrates the capability to forecast individuals' health state by analyzing their performed activities. The study provides a comprehensive analysis of a methodology that focuses on human daily activities, specifically targeting the improvement of cardiovascular health in individuals.

  • Augmented Selection of Cluster Heads and Enlightening Network Lifetime in Underwater Wireless Sensor Networks Using Grey Wolf Optimization (GWO)
    Snehal Hole, Abdul Razzaq T. Zaboun, Hayder Al-Ghanimi, Omad Aldeen Hussen, Haider Alchilibi, and Sahar R. Abdul Kadeem

    IEEE
    The Underwater Wireless Sensor Network (UWSN) is a collection of sensor nodes deployed beneath the seabed to monitor and record challenging applications in offshore exploration and oceanic environments. In order to ensure proper energy consumption in a dynamic environment, the effective forwarding of data packets through efficient paths is crucial. Routing, therefore, plays a significant role in reducing power consumption by making informed decisions on packet destinations. In this study, we propose and analyze an efficient routing technique for underwater wireless sensor networks based on Grey-Wolf Optimization. The proposed technique is evaluated under various conditions, and the experimental results demonstrate a reduced number of iterations for selecting a cluster head, leading to a longer network lifetime compared to existing protocols such as Energy Efficient Routing Protocol (EERP) and Directional Flooding based Routing (DFR).


RECENT SCHOLAR PUBLICATIONS

  • Antenna Microstrip Patch Antenna Design of T Shape and Rectangular Shape for Improved Directivity
    ZN Abdulhussain, HB Qasim, H Al-Ghanimi, A Shather, HA Sabah, ...
    2023 3rd International Conference on Advancement in Electronics 2023

  • Capacity Enhancement Technique via CRAT in an MU-MIMO System with Statistical Power Analysis
    TA Diame, AH Alrubayi, H Al-Ghanimi, OA Hussen, H Alchilibi, ...
    2023 3rd International Conference on Advancement in Electronics 2023

  • Development of technique for Increasing Directivity Different Shaped Microstrip Patch Antenna
    TA Diame, HB Qasim, H Al-Ghanimi, A Hussain, OA Hussen, ZL Naser
    2023 3rd International Conference on Advancement in Electronics 2023

  • Detection system implementation in streaming video with High standard Accuracy Using Single-Shot Multi-Box Detector system with CNN
    M Jawarneh, MQ Mohammed, H Al-Ghanimi, HA Diame, AM Lafta, ...
    2023 3rd International Conference on Advancement in Electronics 2023

  • S-Slot Antenna Design for the Application of ISM in Order to Obtain High Gain
    H Alchilibi, AH Alrubayi, H Al-Ghanimi, TA Diame, FH Taha, M Altaee
    2023 3rd International Conference on Advancement in Electronics 2023

  • Design a Novel Z-Shaped Antenna Using Rogers Substrate for Microwave Access Operations
    HA Diame, HB Qasim, H Al-Ghanimi, MG Majeed, ZN Abdulhussain, ...
    2023 3rd International Conference on Advancement in Electronics 2023

  • Convolutional Neural Network-Based Deep Learning Model Evaluation of Imbalanced Leukocyte Classification Datasets
    AAG Jameela Ali Alkrimi, Hayder Al-Ghanimi, Raja Salih Mohammed
    Chinese Journal of Computational Mechanics 20 (5), 594-600 2023

  • Incorporation of Agents with Ontology to Develop a Healthcare Assessment Provision System
    Y Hole, A Shather, AH Alrubayi, HA Sabah, H Al-Ghanimi, H Alchilibi
    2023 6th International Conference on Contemporary Computing and Informatics 2023

  • Real Time Investigation of IoT Based Sun Follower
    H Mohd Yunus, Yusmi bin and Zaboun, Abdul Razzaq T. and Al-Ghanimi, Hayder ...
    2023 6th International Conference on Contemporary Computing and Informatics 2023

  • Augmented Selection of Cluster Heads and Enlightening Network Lifetime in Underwater Wireless Sensor Networks Using Grey Wolf Optimization (GWO)
    SR Hole, Snehal and Zaboun, Abdul Razzaq T. and Al-Ghanimi, Hayder and ...
    2023 6th International Conference on Contemporary Computing and Informatics 2023

  • Incorporation of Agents with Ontology to Develop a Healthcare Assessment Provision System

    2023 6th International Conference on Contemporary Computing and Informatics 2023

  • Fuzzy And LDR Based Sun Follower System
    H Alwi, Shaliza and Alrubayi, Ali Hussein and Al-Ghanimi, Hayder and Majeed ...
    2023 6th International Conference on Contemporary Computing and Informatics 2023

  • Swag Technique and Dirichlet Distribution to Address Non-Iid Data in Federated Learning
    A Al-Ghanimi, H AL-GHANIMI
    International Journal 10 (2), 1382-1396 2023

  • Performance Analysis of Adaptable Topology in GIS Using Federated Topologies
    A Al-Ghanimi, AL Hayder
    Journal of Optoelectronics Laser 41 (4), 2022 2022

  • Students' perceptions of e-learning and its effects on student outcomes amid the Covid 19 outbreak
    A Al-GHANIMI
    Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12 (2 2021

  • Opportunistic Communication in Highly Congested and Dynamic Urban Areas
    H Al-Ghanimi, M Radenkovic, A Hassan
    IOSR Journal of Engineering (IOSRJEN) 3 (10), 46-52 2013

  • Detection of Attacks by Assessing the Performance of MD2, MD5 and SHA-1 Hashing Algorithms
    M Al-Ghanimi, Hayder and Mohammed, Mohammed Q. and Kadhim Alzeyadi, Malik ...
    2023 6th International Conference on Contemporary Computing and Informatics

MOST CITED SCHOLAR PUBLICATIONS

  • Students' perceptions of e-learning and its effects on student outcomes amid the Covid 19 outbreak
    A Al-GHANIMI
    Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12 (2 2021
    Citations: 4

  • Swag Technique and Dirichlet Distribution to Address Non-Iid Data in Federated Learning
    A Al-Ghanimi, H AL-GHANIMI
    International Journal 10 (2), 1382-1396 2023
    Citations: 1

  • Opportunistic Communication in Highly Congested and Dynamic Urban Areas
    H Al-Ghanimi, M Radenkovic, A Hassan
    IOSR Journal of Engineering (IOSRJEN) 3 (10), 46-52 2013
    Citations: 1