Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Engineering
13
Scopus Publications
89
Scholar Citations
6
Scholar h-index
4
Scholar i10-index
Scopus Publications
INVESTIGATING THE IMPLICATIONS OF DC DISTRIBUTION NETWORKS ON RENEWABLE ENERGY INTEGRATION AND FLEXIBLE ENERGY STORAGE EFFICIENCY S. Nur Hidayah Malek, Goh Chin Hock, Hazem Noori Abdulrazzak Jurnal Teknologi, 2025 This research examines the impact of DC distribution networks on integrating renewable energy sources and the effectiveness of flexible energy storage systems in enhancing network efficiency. The study evaluates the performance, stability, and potential of DC distribution networks as key enablers for achieving a sustainable and reliable energy system. The analysis focuses on the potential benefits and challenges associated with integrating renewable energy sources into DC distribution networks. It investigates how these networks efficiently manage and utilize renewable energy, addressing issues such as voltage regulation, power quality, and system stability. Additionally, the research explores the role of flexible energy storage technologies in mitigating the intermittency of renewable energy sources. It evaluates the effectiveness of energy storage systems, including batteries, pumped hydro storage, and compressed air energy storage, optimizing network stability, improving energy dispatch ability, and maximizing renewable energy utilization. An economic analysis assesses the viability and cost-effectiveness of implementing DC distribution networks with renewable energy integration and flexible energy storage. This analysis considers investment costs, operational expenses, and potential revenue streams, providing insights for decision-makers and energy planners. They inform policymakers, system operators, and energy industry stakeholders, facilitating informed decision-making and the development of strategies to optimize energy system efficiency, reliability, and sustainability. In conclusion, this research provides a comprehensive assessment of the implications of DC distribution networks on renewable energy integration and flexible energy storage efficiency. The insights gained significantly impact achieving a more sustainable and resilient energy future.
Fuzzy C-Means Clustering Approach for Green IoT in Smart Cities Aya Ayad Hussein, Hazem N. Abdulrazzak 2024 3rd International Conference on Power Control and Computing Technologies Icpc2t 2024, 2024 Cluster-based routing or Hierarchical is a widely recognized approach with particular benefits in terms of scalability and communication efficiency. In Wireless Sensor Networks supported $IoT$, the utilization of clustered routing is a cost-effective method of data collection and transmission, where nodes with the most energy remaining can be utilized to collect and transmit data. This paper proposed a soft Fuzzy C-Means Dynamic Clustering (FCM-DC) Approach. A new Cluster Head (CH) selection technique was presented also. The proposed model was compared with an existing cluster based routing protocol, LEACH protocol, and LEACH-C protocol. The proposed FCM-DC model reduce the packet delay about 16% in 50 nodes scenario and 86% in 100 nodes scenario compared with LEACH.
A Multi-Layer Deep Learning System for Fault Detection Solar Cell Electroluminescence Images Rawad Almashhadani, Goh Chin Hock, Farah Hani Nordin, Hazem Noori Abdulrazzak, Zaid Ali Abbas IEEE International Conference on Adaptive Science and Technology Icast, 2024 An automatic solar defect detection with a classification system was proposed using deep learning. This paper focuses on solar defects in photovoltaic systems identified through electroluminescence (EL) images. Convolutional Neural Networks (CNNS), Artificial Neural Networks (ANN), Support Vector Machine (SVM), and a pre-trained VGG16 network for feature extraction were compared in this paper. They adopted two classification strategies: binary classification (defective or non-defective) and multi-class classification the class names are 0%, 33%, 67%, and 100% (here % represents the percentage of defectiveness), which represents the defect likelihood. The effectiveness of the model was evaluated using various metrics, including the recall, precision, accuracy, and F1-score for two and four classes and obtained on, supported by confusion matrices. VGG-16 model outperformed other models and achieved an accuracy of 89% for 2-classes and 93% for 4-classes.
A New Unsupervised Validation Index Model Suitable for Energy-Efficient Clustering Techniques in VANET Hazem Noori Abdulrazzak, Goh Chin Hock, Nurul Asyikin Mohamed Radzi, Nadia Mei Lin Tan IEEE Access, 2023 Clustering evaluation techniques are important to check the clustering algorithm quality. High cluster similarity help to reduce the distance between a node to node within the cluster, also good separation was more important to avoid overlapping clusters. The network performance will increase and the signal will be high. Many researchers proposed different validation indexes such as Davies–Bouldin, Dunn, and Silhouette indexes. These cluster validation indexes focus on the internal or external cluster similarity, and some of them deal with both cases. The employing of graph-based distance to non-spherical clusters and selection of reference points will not be effective all the time because the average distance between reference points and all nodes will be changed dynamically such as in the VANET application. To solve this problem a dynamic sample node should be selected or the similarity of all nodes should be checked. This paper proposes a new Minimum intra-distance and Maximum inter-distance Index (M2I) to improve these indexes. The proposed index checks the internal similarity and the external distance among all nodes from cluster to cluster to ensure that high separation will occur. M2I checks the similarity from node to node within the cluster and cluster to cluster. The proposed index will be an improvement of all high-rank indexes. The proposed index was applied in different scenarios (VANET and real datasets scenarios) and compared with other indexes. The index result shows that the proposed M2I outperforms the others. The M2I accuracy is 100% in the VANET scenario and 89% in the real datasets scenario.
Modeling and Analysis of New Hybrid Clustering Technique for Vehicular Ad Hoc Network Hazem Noori Abdulrazzak, Goh Chin Hock, Nurul Asyikin Mohamed Radzi, Nadia M. L. Tan, Chiew Foong Kwong Mathematics, 2022 Many researchers have proposed algorithms to improve the network performance of vehicular ad hoc network (VANET) clustering techniques for different applications. The effectiveness of the clustering model is the most important challenge. The K-Means clustering algorithm is an effective algorithm for multi-clusters that can be used in VANETs. The problems with the K-Means algorithm concern the selection of a suitable number of clusters, the creation of a highly reliable cluster, and achieving high similarity within a cluster. To address these problems, a novel method combining a covering rough set and a K-Means clustering algorithm (RK-Means) was proposed in this paper. Firstly, RK-Means creates multi-groups of vehicles using a covering rough set based on effective parameters. Secondly, the K-value-calculating algorithm computes the optimal number of clusters. Finally, the classical K-Means algorithm is applied to create the vehicle clusters for each covering rough set group. The datasets used in this work were imported from Simulation of Urban Mobility (SUMO), representing two highway scenarios, high-density and low-density. Four evaluation indexes, namely, the root mean square error (RMSE), silhouette coefficient (SC), Davies–Bouldin (DB) index, and Dunn index (DI), were used directly to test and evaluate the results of the clustering. The evaluation process was implemented on RK-Means, K-Means++, and OK-Means models. The result of the compression showed that RK-Means had high cluster similarity, greater reliability, and error reductions of 32.5% and 24.2% compared with OK-Means and K-Means++, respectively.
A Novel Minimized Energy Routing Technique for IoT Assisted WSN Ceur Workshop Proceedings, 2022
Variable modulation index PWM inverter using AGC fed induction motor based WSN International Journal of Innovative Technology and Exploring Engineering, 2019
RECENT SCHOLAR PUBLICATIONS
Dimensionality Reduction in Data Mining Application: A Systematic Review NMAM Najm, NA Taher, H NOORI, AA Hussein Al-Rafidain Journal of Engineering Sciences, 670-690 , 2026 2026
Investigating the implications of DC distribution networks on renewable energy integration and flexible energy storage efficiency SNH Malek, GC Hock, HN Abdulrazzak Jurnal Teknologi (Sciences & Engineering) 87 (6), 1233-1246 , 2025 2025 Citations: 1
Improving Voice Recognition in Iraqi Dialect Using Deep CNN-LSTM Architecture: A Comprehensive Deep Learning Approach. MK Ismael, GC Hock, HN Abdulrazzak Mathematical Modelling of Engineering Problems 12 (6) , 2025 2025 Citations: 1
MANET highly efficient clustering technique based on coverage k-means algorithm AA Hussein, HN Abdulrazzak, AS Ali Egyptian Informatics Journal 30, 100672 , 2025 2025 Citations: 7
Leveraging Deep Learning for Accurate Classification of Skin Disease Images HN Abdulrazzak, AK Hasan, AA Hussein, GC Hock Al-Noor Journal of Engineering Management and Computer Science, 28-42 , 2025 2025
Enhancing Automatic Recognition of Isolated Arabic Speech Using Artificial Intelligence Techniques: A Systematic Review MK Ismael, GC Hock, HN Abdulrazzak 2025
Enhanced Solar Defect Detection via Deep Learning: A CNN-Wavelet Transform-LSTM Approach. R Almashhadani, GC Hock, FH Bt Nordin, HN Abdulrazzak, ZA Abbas International Journal of Intelligent Engineering & Systems 18 (1), 1081 - 1091 , 2025 2025 Citations: 4
A Multi-Layer Deep Learning System for Fault Detection Solar Cell Electroluminescence Images R Almashhadani, GC Hock, FH Nordin, HN Abdulrazzak, ZA Abbas 2024 IEEE 9th International Conference on Adaptive Science and Technology … , 2024 2024
Electroluminescence Images for Solar Cell Fault Detection Using Deep Learning for Binary and Multiclass Classification RAI Almashhadani, GC Hock, FHB Nordin, HN Abdulrazzak 2024 Citations: 8
Fuzzy C-Means Clustering Approach for Green IoT in Smart Cities AA Hussein, HN Abdulrazzak 2024 Third International Conference on Power, Control and Computing … , 2024 2024 Citations: 3
The Organizing and Technical Committees of 2024 IEEE 12th Conference on Systems, Process & Control (ICSPC 2024) would like to express gratitude to all reviewers for the … AAM Anik, A Alsaraf, G Abinaya, A Amer, A Subbiah, A Al-Obaidi, AS Nori, ... 2024
A Novel High-Priority Traffic Light System Based on a Microcontroller H NOORI Al-Rafidain Journal of Engineering Sciences, 35-41 , 2023 2023
A new unsupervised validation index model suitable for energy-efficient clustering techniques in VANET HN Abdulrazzak, GC Hock, NAM Radzi, NML Tan IEEE Access 11, 67540-67555 , 2023 2023 Citations: 16
Modeling and analysis of new hybrid clustering technique for vehicular ad hoc network HN Abdulrazzak, GC Hock, NA Mohamed Radzi, NML Tan, CF Kwong Mathematics 10 (24), 4720 , 2022 2022 Citations: 18
A Novel Minimized Energy Routing Technique for IoT Assisted WSN HN Abdulrazzak, AA Hussein, A Kuchansky Emerg. Techn. Trends on the Smart Ind. and IoT, 132-140 , 2022 2022 Citations: 4
Minimizing energy consumption in roadside unit of zigzag distribution based on RS-LS technique HN Abdulrazzak, NML Tan, NAM Radzi 2021 IEEE International Conference on Automatic Control & Intelligent … , 2021 2021 Citations: 10
The Organizing and Technical Committees of 2021 IEEE 11th International Conference on System Engineering and Technology (ICSET 2021) would like to express gratitude to all … AE Hassani, A Ghazli, A Derghal, AK Halim, AN Ghafar, AAM Salih, ... IEEE Conference Technical Committee and Reviewers of 2021 IEEE 11th … , 2021 2021
Variable Modulation Index PWM Inverter using AGC fed Induction Motor Based WSN IM Khalil, HN Abdulrazzak, HH Merzah International Journal of Innovative Technology and Exploring Engineering … , 2019 2019 Citations: 1
Monitoring of Water Purification Process Based on IoT IM Khalil, HN Abdulrazzak 2019 Citations: 10
Performance analysis of CSMA/CA based on D2D communication HN Abdulrazzak, AA Hussein International Journal of Computer Sciences and Engineering 7 , 2019 2019 Citations: 5
MOST CITED SCHOLAR PUBLICATIONS
Modeling and analysis of new hybrid clustering technique for vehicular ad hoc network HN Abdulrazzak, GC Hock, NA Mohamed Radzi, NML Tan, CF Kwong Mathematics 10 (24), 4720 , 2022 2022 Citations: 18
A new unsupervised validation index model suitable for energy-efficient clustering techniques in VANET HN Abdulrazzak, GC Hock, NAM Radzi, NML Tan IEEE Access 11, 67540-67555 , 2023 2023 Citations: 16
Minimizing energy consumption in roadside unit of zigzag distribution based on RS-LS technique HN Abdulrazzak, NML Tan, NAM Radzi 2021 IEEE International Conference on Automatic Control & Intelligent … , 2021 2021 Citations: 10
Monitoring of Water Purification Process Based on IoT IM Khalil, HN Abdulrazzak 2019 Citations: 10
Electroluminescence Images for Solar Cell Fault Detection Using Deep Learning for Binary and Multiclass Classification RAI Almashhadani, GC Hock, FHB Nordin, HN Abdulrazzak 2024 Citations: 8
MANET highly efficient clustering technique based on coverage k-means algorithm AA Hussein, HN Abdulrazzak, AS Ali Egyptian Informatics Journal 30, 100672 , 2025 2025 Citations: 7
Performance analysis of CSMA/CA based on D2D communication HN Abdulrazzak, AA Hussein International Journal of Computer Sciences and Engineering 7 , 2019 2019 Citations: 5
Enhanced Solar Defect Detection via Deep Learning: A CNN-Wavelet Transform-LSTM Approach. R Almashhadani, GC Hock, FH Bt Nordin, HN Abdulrazzak, ZA Abbas International Journal of Intelligent Engineering & Systems 18 (1), 1081 - 1091 , 2025 2025 Citations: 4
A Novel Minimized Energy Routing Technique for IoT Assisted WSN HN Abdulrazzak, AA Hussein, A Kuchansky Emerg. Techn. Trends on the Smart Ind. and IoT, 132-140 , 2022 2022 Citations: 4
Fuzzy C-Means Clustering Approach for Green IoT in Smart Cities AA Hussein, HN Abdulrazzak 2024 Third International Conference on Power, Control and Computing … , 2024 2024 Citations: 3
Investigating the implications of DC distribution networks on renewable energy integration and flexible energy storage efficiency SNH Malek, GC Hock, HN Abdulrazzak Jurnal Teknologi (Sciences & Engineering) 87 (6), 1233-1246 , 2025 2025 Citations: 1
Improving Voice Recognition in Iraqi Dialect Using Deep CNN-LSTM Architecture: A Comprehensive Deep Learning Approach. MK Ismael, GC Hock, HN Abdulrazzak Mathematical Modelling of Engineering Problems 12 (6) , 2025 2025 Citations: 1
Variable Modulation Index PWM Inverter using AGC fed Induction Motor Based WSN IM Khalil, HN Abdulrazzak, HH Merzah International Journal of Innovative Technology and Exploring Engineering … , 2019 2019 Citations: 1
Pattern Recognition Based On Intelligent System F Ali, H Abdulrazzak Journal of Al-Rafidain University College For Sciences (Print ISSN: 1681 … , 2013 2013 Citations: 1
Dimensionality Reduction in Data Mining Application: A Systematic Review NMAM Najm, NA Taher, H NOORI, AA Hussein Al-Rafidain Journal of Engineering Sciences, 670-690 , 2026 2026
Leveraging Deep Learning for Accurate Classification of Skin Disease Images HN Abdulrazzak, AK Hasan, AA Hussein, GC Hock Al-Noor Journal of Engineering Management and Computer Science, 28-42 , 2025 2025
Enhancing Automatic Recognition of Isolated Arabic Speech Using Artificial Intelligence Techniques: A Systematic Review MK Ismael, GC Hock, HN Abdulrazzak 2025
A Multi-Layer Deep Learning System for Fault Detection Solar Cell Electroluminescence Images R Almashhadani, GC Hock, FH Nordin, HN Abdulrazzak, ZA Abbas 2024 IEEE 9th International Conference on Adaptive Science and Technology … , 2024 2024
The Organizing and Technical Committees of 2024 IEEE 12th Conference on Systems, Process & Control (ICSPC 2024) would like to express gratitude to all reviewers for the … AAM Anik, A Alsaraf, G Abinaya, A Amer, A Subbiah, A Al-Obaidi, AS Nori, ... 2024
A Novel High-Priority Traffic Light System Based on a Microcontroller H NOORI Al-Rafidain Journal of Engineering Sciences, 35-41 , 2023 2023
