Musaddak Maher Abdul Zahra

Scopus Publications

Quantum and Lattice-Based Hybrid Cryptosystem for Secure Wireless Body Sensor Networks in Medical Applications
Abeer Raad, Maryam Ayad Gabbar, Musaddak Maher Abdul Zahra
SN Computer Science, 2025
An Intelligent and Scalable Framework for Early Heart Disease Detection Using Multimodal Health Data and Optimized Deep Learning Strategies
Ammar K. Alazzawi, Hasanain Alharbi, Hussein A. A. Al-Khamees, Musaddak Maher Abdul Zahra
SN Computer Science, 2025
Quantum Computing Approaches for High-Speed Visual Search
Haewon Byeon, A. Phani Sheetal, Musaddak Maher Abdul Zahra, Mukesh Soni, Rajit Nair, Abhishek Jain
2025 International Conference on Networks and Cryptology Netcrypt 2025, 2025
This work introduces a rapid visual search method for biometric recognition, medical imaging, security monitoring, and multimedia retrieval. Traditional visual search methods involve laborious, unsuccessful pixel-by-pixel comparisons and generated feature descriptors for large datasets. The revolutionary new option of quantum computing uses superposition, entanglement, and parallelism to boost feature discovery, computing similarities, and fine-tuning findings. This paper suggests a fast way to search for images using quantum computing, which uses the Quantum Fourier Transform (QFT) to identify features and quantum similarity measurements to compare images. The suggested solution greatly reduces processing time and improves retrieval accuracy. Performance tests demonstrate quantum computing outperforms classical approaches. Quantum computing has a 25 ms working latency, while standard systems need <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$100-150 ~\text{ms}$</tex>. With 95% accuracy and scalability, quantum-based search outperforms traditional algorithms. The quantum approach uses 90 joules, while normal systems use 230-280. So, it takes less energy. Quantum computing is helpful and extensible because it handles noise better and uses less memory. Even though quantum computing is difficult to set up, its benefits in computation, parallelism, and real-world usability demonstrate that it could revolutionize visual search technology. Quantum technologies will make large-scale photo retrieval faster and more precise as quantum computing improves.
Graph-Based Deep Learning for Brain Network Analysis and Connectivity Mapping
Haewon Byeon, Mungara Kiran Kumar, Musaddak Maher Abdul Zahra, Mukesh Soni, Ramgopal Kashyap, Abhishek Jain
2025 International Conference on Networks and Cryptology Netcrypt 2025, 2025
This paper introduces graph-based deep learning for functional connectivity mapping and brain network analysis that improves accuracy, reliability, and efficiency. The method creates a link network from functional MRI data, with nodes indicating brain areas and lines exhibiting statistical connectivity. The model strengthens neural linkages through spectrum decomposition, graph convolution layers, and attention processes to improve categorization. It outperforms CNNs (89.2%), RNNs (85.6%), SVM (80.4%), and RF (78.1%) with 95.8% accuracy. It is fast (120 ms), scalable, and easy to grasp (9/10), making it ideal for large-scale scanning. The approach also detects abnormalities in neuron joining, which may aid neurological disorder diagnosis. Precision (94.5%), recall (96.2%), and F1-score (95.3%) demonstrate its dependability. It utilizes less memory than CNNs (400 MB) and RNNs (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{4 5 0 ~ M B}$</tex>) at <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{2 5 0 ~ M B}$</tex>. This study shows that graph-based deep learning works effectively in functional connectivity research. They help us understand brain-computer interfaces, cognitive function, and neurological diseases.
Ensuring Informed Consent and Fair Access to Artificial Intelligence Enhanced Healthcare Services
Musaddak Maher Abdul Zahra, Khyati Nema, Rajit Nair, Bibhuti Bhusan Dash, Subrata Chowdhury, Sudhansu Shekhar Patra
2025 6th International Conference for Emerging Technology Incet 2025, 2025
This article discusses a novel strategy to make AI-based healthcare informed consent clearer, simpler to obtain, and more equitable. The recommended solution uses natural language processing and user input to process permission forms faster and make them easier to understand for patients. We verify the shorter documents for clarity, user comprehension, and fairness, ensuring the agreement process is effective for numerous individuals. Dynamic feedback allows the consent process to improve depending on user behavior and group-specific issues. The strategy uses continual growth and monitoring to eliminate bias, clarify materials, and ensure compliance. Performance measuring metrics improve reading scores, user comprehension, validation accuracy, and fairness measures compared to previous techniques. The proposed method simplifies health care and makes consumers happy. These modifications ensure that informed consent in healthcare is lawful, fair, and adaptable, enabling a patient-centered strategy that adjusts to changing healthcare requirements. This study suggests that employing modern technology in informed consent might make patients more confident and participating, creating a more inclusive healthcare system.
Experimental analysis of corrugated solar still using nano-enhanced phase change material
Prakash Patel, Zulfiquar N. Ansari, Musaddak Maher Abdul Zahra, Ghanshyam G. Tejani, Subhav Singh, Deekshant Varshney, Mohd Asif Shah
Multidisciplinary Science Journal, 2025
The objective of this research work is to evaluate the influence of v-shaped corrugated basin integrated with nano-enhanced phase change material (NePCM) on the freshwater productivity. Experiments were conducted using different nanoparticles such as graphene oxide (GO), Al2O3, TiO2 and CuO as well as phase change material (PCM) namely fatty acids and graphene oxide. The conventional single slope solar still (CSSS) was combined with individual nanoparticles (CSSS + nanoparticle) and PCM (CSSS + PCM) and also with their combination (CSSS + nanoparticle + PCM) for performance analysis. The consideration of nanoparticle and PCM either individually or in combination increased the daily yield in comparison to the CSSS. The highest productivity was obtained in the case of CSSS + Paraffin wax + Al2O3 + TiO2 + GO (5.21 L/m2/day) as compared to the CSSS (3.15 L/m2/day), increasing the daily yield by 65%. The daily yield in case of CSSS + Fatty acid + Al2O3 + TiO2 + GO is 5.09 L/m2/day over the CSSS, thereby resulting in productivity improvement by 61%. The findings of the study present the potentiality of the developed v-shaped corrugated solar still with different combination of nanoparticles and PCM.
Investigation on fixed pitch Darrieus vertical axis wind turbine
Ramesh K. Kavade, Mahesh M. Sonekar, Dilip S. Choudhari, Prateek D. Malwe, Nitin P. Sherje, Mushtaq Ahmad Ansari, Mohd Asif Shah, Musaddak Maher Abdul Zahra, Abhinav Kumar
Aip Advances, 2024
Small-scale Darrieus wind turbines have a wide scope in areas that are isolated from the power grid for such small-scale household applications. Applications of wind turbines on house roofs are one potential way to generate electricity from wind energy harvesting in low-wind urban locations. This work studies the aerodynamic behavior of a vertical axis wind turbine based on a MATLAB programming mathematical model. The NACA0021 airfoil profile blade was used in this present research investigation. The turbine was fabricated with dimensions such as chord length, c = 95 mm, blade height, h = 600 mm, and turbine diameter, D = 600 mm. The experimental results of the turbine for air velocity from 1 to 12 ms−1 were used in this paper and compared with analytical results. It has been observed that the fixed-pitch turbine does not start by itself at a low air velocity of 1 to 5 m/s due to a minimum and negative torque.
A mathematical model for investigation of dry band location on 22 kV bushing with and without RTV coating: Experimental study
L. Kalaivani, R.V. Maheswari, Emad Makki, Bharat Singh, Sanjay B Warkad, Jayant Giri, B. Vigneshwaran, Alagar karthick, Musaddak Maher Abdul Zahra, Abhinav kumar, Hitesh Panchal
Methodsx, 2024
As different pollutants are deposited on the high voltage bushings, a dry band forms, which causes a flashover. The bushing's contaminated layer will weaken its insulation and have an impact on its electrical characteristics. The performance of bushings in dry band conditions of various lengths was investigated in this proposed piece of work, and a dynamic arc model is presented for the arc process in polluted bushings. It shows satisfactory performance in modelling the arc variables for various dry band positions. The developed dynamic open model for contaminated bushings with and without RTV coating predicted the flashover voltage and dry band positions. Any type of contamination, such as sea salt, road salt, and industrial pollutants prevalent in several sites, can be studied using the established model. Ultimately, it was discovered that there was good agreement between the model's results and the outcomes of the experiments. •Mathematical modeling of 22 kV bushing is conceded out for diverse polluted dry band location at lead-in, lead-out and middle region of bushing surface.•Dynamic arc modeling involved in bushing flashover process for different dry band location is done and flashover voltage is predicted•Experimental work is carried out to find FOV for the bushing with different dry location and compared with predicted FOV.
Performance analysis of photovoltaic panel using machine learning method
Ganesh S. Wahile, Srikant Londhe, Shivshankar Trikal, Chandrakant Kothare, Prateek D. Malwe, Nitin P. Sherje, Prasad D. Kulkarni, Uday Aswalekar, Chandrakant Sonawane, Mustak Maher Abdul Zahra, Abhinav Kumar
Indonesian Journal of Electrical Engineering and Computer Science, 2024
Demand for energy is increasing as the world’s population grows, fossil fuels deplete on a daily basis, and climate conditions change. Renewable energy is more important than ever. Solar energy is the most accessible and cost-effective renewable energy source available today. Photovoltaic (PV) cells are the most promising way to convert solar energy into electricity. Wind speed, ambient temperature, incident radiation rate, and dust deposition are some of the internal and external variables that affect photovoltaic panel performance. Unwanted heat from the sun’s rays raises panel temperatures, reduces the amount of energy that solar cells can produce, and lowers conversion efficiency. Solar panels must be adequately cooled. The current research is focused on improving photovoltaic panel performance. The experimental system includes a fully automated photovoltaic panel, a microcontroller (NodeMCU8266), a DC pump, voltage and temperature sensors. The experiment was carried out with and without cooling of the PV panel. The findings suggest that keeping PV panel temperatures close to ambient temperatures improves performance. The Wi-Fi module collects real-time data on PV panel temperature, irradiation, ambient temperature, water temperature, and PV panel power output. The collected data was analyzed using machine learning. The PV panel’s performance was analyzed using the linear regression method.
Numerical analysis of the powder mixed electrical discharge machining (PMEDM) process for TZM-molybdenum superalloy using finite element method
Kapil Surani, Shailesh Patel, Mathan Kumar Mounagurusamy, Musaddak Maher Abdul Zahra, Hitesh Panchal, Md Irfanul Haque Siddiqui, Mohd Asif Shah, Natrayan L, Abhinav Kumar
Aip Advances, 2024
The powder mixed electrical discharge machining (PMEDM) process was simulated via finite element analysis in the current study to assess heat behavior and material removal rate. The goal of this paper is to conduct a thorough experimental and thermal examination of electrical discharge machining (EDM) in order to forecast its cutting characteristics and subsequently optimize the output variables using a response surface methodology for simulations and choosing the most suitable set of process variables related to the PMEDM process. This study’s objective is to design a 2D axisymmetrical transient thermal model that might also describe the physics of material removal in a single spark PMEDM operation on a Titanium Zirconium Molybdenum (TZM) superalloy. ANSYS (version 9.1) software is used to perform transient heat transfer simulations to determine the temperature profile with the amount of material removal at different current, pulse on and off times, gap voltages, and fraction of heat that enters the specimen. The PMEDM process produced craters with a lower diameter and depth, which increased the material removal rate and enhanced the surfacing quality. Compared to the conventional EDM process, the inclusion of powder raised the heat flux given to the work material by 10%–12%. It has been determined that with the single spark modeling technique, the temperature significantly dropped in both the radial and depth directions. The computational results are compared with experimental observations for similar machining conditions, and both results agree satisfactorily.
Mechanism of Preparation of Azo Dyes Derived from Cephalosporin by Chromogenic Reagent and Use of Synthesized Nano-Polymers Surface as an Adsorbent model for Future Work of Water Treatment
Journal of Nanostructures, 2024
A comprehensive review on reliability and degradation of PV modules based on failure modes and effect analysis
Pramod Rajput, Digvijay Singh, K Y Singh, Alagar Karthick, Mohd Asif Shah, Radhey Shyam Meena, Musaddak Maher Abdul Zahra
International Journal of Low Carbon Technologies, 2024
Design and Testing of Bidirectional DC-DC Converters for Emergency Lighting
Musaddak Maher Abdul Zahra, Karthikeyan Sathasivam, Waleed Khalid Al-Azzawi, Abrar Ryadh, Azhaar Abdalhussan Shalal, Mustafa Asaad Hussein, Abdul Razzaq T. Zaboun, Ilhan Garip
Electric Power Components and Systems, 2024
Sustainable wastewater treatment by RO and hybrid organic polyamide membrane nanofiltration system for clean environment
R. Saravanan, T. Sathish, Kamal Sharma, A. Venkateswara Rao, Ravishankar Sathyamurthy, Hitesh Panchal, Musaddak Maher Abdul Zahra
Chemosphere, 2023
Heat transfer enhancement of heat exchanger using rectangular channel with cavities
Prateek D. Malwe, Aarti Mukayanamath, Hitesh Panchal, Naveen Kumar Gupta, Chander Prakash, Musaddak Maher Abdul Zahra
Kerntechnik, 2023
Machine learning application to predict the Mechanical properties of Glass Fiber mortar
G. Nakkeeran, L. Krishnaraj, Alireza Bahrami, Hamad Almujibah, Hitesh Panchal, Musaddak Maher Abdul Zahra
Advances in Engineering Software, 2023
Investigation of PVDF-based Micro Ocean Wave Power Generation Capability
Musaddak Maher, Abdul Zahra, Hairder Sharif, K. Al-Majdi, Sanaa Fathy Mahmud, H. Mohammed, Abdullah, M. Hamza, Ahmed A. Ali
International Journal of Renewable Energy Research, 2023
Battery Charging Monitoring System Using PZEM 004t Sensor and DC Voltage Sensor
Musaddak Maher Abdul Zahra, Hairder Sharif, Karam myaser abd alaziz, Nada Qasim Mohammed, Ahmed A. Ali 5, Hayder Tariq Tariq, et al.
International Journal of Renewable Energy Research, 2023
Investigating hole effects on bending performance of aluminum beams with square cross-sections under three-point bending load and their implementation in light vehicles
Xianfei Shen, Musaddak Maher Abdul Zahra
Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications, 2023
The Use of Hybrid Solar Energy to Supply Electricity to Remote Areas: Advantages and Limitations
Untung Rahardja, Oriza Candra, Abhishek Kumar Tripathi, Musaddak Maher Abdul Zahra, Bashar S. Bashar, Iskandar Muda, Ngakan Ketut Acwin Dwijendra, Surendar Aravindhan, Ramaswamy Sivaraman
Mathematical Modelling of Engineering Problems, 2023
Investigation of mechanical properties and transparency of spark plasma sintered Mg2+ and Y3+ codoped α-Al2O3 nanoparticles synthesized via coprecipitation
Huiliang Gao, Hussein Humedy Chlib Alkaaby, Safa K. Hachim, Holya A. Lafta, Musaddak Maher Abdul Zahra, Zainab Sabri Abbas, Munthir Mohammed Radhy AL Kubaisy, Ahmed Mahdi Rheima, Kadhum Al-Majdi, Marwah A. Shams, M.R.L. Estarki, S. Haghpanah
Journal of Materials Research and Technology, 2023
A comprehensive investigation of thermal conductivity in of monolayer graphene, helical graphene with different percentages of hydrogen atom: A molecular dynamics approach
Huaguang Li, Hamid Hassanzadeh afrouzi, Musaddak Maher Abdul Zahra, Bashar S. Bashar, Fay Fathdal, Salema K. Hadrawi, As’ad Alizadeh, Maboud Hekmatifar, Kadhum Al-Majdi, Israa Alhani
Colloids and Surfaces A Physicochemical and Engineering Aspects, 2023
Design and Optimization of Downlink Massive MIMO System Based on OTFS Modulation Enabling Modified 3D-SOMP Channel Estimation
Musaddak Maher Abdul Zahra, Laith A. Abdul-Rahaim
2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2023, 2023
Blockchain and 1D-CNN based IoTs for securing and classifying of PCG sound signal data
Zainab N. Al Al-Qudsy, , , , , Zainab Mahmood Fadhil, Refed Adnan Jaleel, Musaddak Maher Abdul Zahra
Fusion Practice and Applications, 2023
The artificial intelligence (AI) role for tackling against COVID-19 pandemic
Ali H. Shamman, Ahmed A. Hadi, Ali R. Ramul, Musaddak M. Abdul Zahra, Hassan M. Gheni
Materials Today Proceedings, 2023
Multimedia Imaging System of Data Collection and Antenna Alignment for Unmanned Aerial Vehicles Based Internet of Things
Maysaloon abed qasim, , , , , , Qusay Abboodi Ali, Noor Mezher Sahab, Refed Adnan Jaleel, Musaddak Maher Abdul Zahra
Fusion Practice and Applications, 2023
On Some Novel Results About Weak Fuzzy Complex Matrices
Yaser Ahmad Alhasan, , , , , , Abuobida Mohammed A. Alfahal, Raja Abdullah Abdulfatah, Giorgio Nordo, Musaddak M. Abdul Zahra
International Journal of Neutrosophic Science, 2023
Decision Key-Value Feature Construction for Multihoming Big Data Network
Musaddak Maher Abdul Zahra, M. Nagabushanam, S. Kumaraswamy, Devangkumar Umakant Shah, Charanjeet Singh, Mohammad Najmus Saquib Hasan
Wireless Communications and Mobile Computing, 2023
Mathematical modelling and verification of open sun drying of cotton seeds
Vijay Patel, K B Judal, Hitesh Panchal, Naveen Kumar Gupta, Musaddak Maher Abdul Zahra, Mohd Asif Shah
International Journal of Low Carbon Technologies, 2023
A deep transfer learning-based convolution neural network model for COVID-19 detection using computed tomography scan images for medical applications
Nirmala Devi Kathamuthu, Shanthi Subramaniam, Quynh Hoang Le, Suresh Muthusamy, Hitesh Panchal, Suma Christal Mary Sundararajan, Ali Jawad Alrubaie, Musaddak Maher Abdul Zahra
Advances in Engineering Software, 2023
Optimal Dispatch of the Energy Demand in Electrical Distribution Grid with Reserve Scheduling
Ngakan Ketut Acwin Dwijendra, Wongchai Anupong, Ahmed Majed Althahabi, Sabah Auda Abdulameer, Waleed Khalid Al-Azzawi, Mustafa Musa Jaber, Musaddak Maher Abdul Zahra, Zuhair I. Al Mashhadani
Environmental and Climate Technologies, 2023
Engineering promising A-π-D type molecules for efficient organic-based material solar cells
Musaddak Maher Abdul Zahra, Taleeb Zedan Taban, Mustafa M. Kadhim, Sallal A. H. Abdullaha, Haider Abdulkareem Almashhadani, Ahmed Mahdi Rheima, Safa K. Hachim, Abdol Ghaffar Ebadi
Molecular Simulation, 2023
Pump Insole with Mini AC Generator for Emergency Energy
Musaddak Maher Abdul Zahra, Bashar Mahmood Ali, Hailer Sharif, Ahmed Read Al-Tameemi, Ali Al Mansor, Abdul Razzaq T. Zaboun, Saja Hameed Kareem, Ahmed A. Ali, Ilhan Garip, Karthikeyan Sathasivam
Electric Power Components and Systems, 2023
Evaluation of efficiency, thermohydraulic performance evaluation criterion, and field synergy principle improvement of the parabolic solar collector containing the hybrid nanofluid using spring turbulators
Peng Yin, Yaser Mohamed Hasan, Bashar S. Bashar, Musaddak Maher Abdul Zahra, Munthir Mohammed Radhy AL Kubaisy, Hadeel Majed, Israa Alhani, Emad Salaam Abood, Salema K. Hadrawi, As'ad Alizadeh, Maboud Hekmatifar
Case Studies in Thermal Engineering, 2023
MnCo2O4/N-doped graphene quantum dot vigorously coupled to MXene nanosheet: A bifunctional Oxygen electrocatalyst outperforms Pt/IrO2 benchmark electrocatalysts in metal-air batteries
Monireh Faraji, Samira Yousefzadeh, Maadh Fawzi Nassar, Musaddak Maher Abdul Zahra
Journal of Alloys and Compounds, 2022
Electricity Demand Prediction by a Transformer-Based Model
Ahmed Mohammed Mahmood, Musaddak Maher Abdul Zahra, Waleed Hamed, Bashar S. Bashar, Alaa Hussein Abdulaal, et al.
Majlesi Journal of Electrical Engineering, 2022
A comprehensive review of various approaches for treatment of tertiary wastewater with emerging contaminants: what do we know?
Sasan Zahmatkesh, Awais Bokhari, Melika Karimian, Musaddak Maher Abdul Zahra, Mika Sillanpää, Hitesh Panchal, Ali Jawad Alrubaie, Yousof Rezakhani
Environmental Monitoring and Assessment, 2022
Performance of RoF-MMW-WDM Backhaul System based on Hybrid Optical OFDM Transportation Enabling 128-QAM Format for B5G Communication Networks
Musaddak M. Abdul Zahra, Laith A. Abdul-Rahaim
Journal of Internet Services and Information Security, 2022
Thermal effectiveness of solar collector using Graphene nanostructures suspended in ethylene glycol–water mixtures
Ali Omran Al-Sulttani, Mohammed Suleman Aldlemy, Musaddak M. Abdul Zahra, Hamed A. Gatea, Khaled Mohamed Khedher, Miklas Scholz, Zaher Mundher Yaseen
Energy Reports, 2022
Molecular dynamics simulation of obstacle number effect on heat and mass transfer of argon flow inside the platinum nanochabnnels
Jun Chen, Zuhra Muter Saleh, Nasier Saadoon, Musaddak Maher Abdul Zahra, M.Gh. Said, Usama S. Altimari, Ayat Hussein Adhab, Emad Salaam Abood, Salema K. Hadrawi, As'ad Alizadeh, M. Hekmatifar
Journal of Molecular Liquids, 2022
Adaptive Reactive Power Control of Doubly Fed Induction Generator By using GWO Algorithm
Majlesi Journal of Electrical Engineering, 2022
On the Classification of n-Refined Neutrosophic Rings and Its Applications in Matrix Computing Algorithms and Linear Systems
Katy D. .., , , , , N.N N.N.Thjeel, M.M. Abdul Zahra, R.A. Jaleel
International Journal of Neutrosophic Science, 2022
The effect of type and size of nanoparticles and porosity on the pool boiling heat transfer of water/Fe nanofluid: Molecular dynamics approach
Qian Liang, Kamran Valizadeh, Amir Bateni, Indrajit Patra, Marwa N. Abdul-Fattah, Mahmoud Kandeel, Musaddak Maher Abdul Zahra, Bashar S. Bashar, Shaghayegh Baghaei, Shadi Esmaeili
Journal of the Taiwan Institute of Chemical Engineers, 2022
Investigating and Optimizing the Operation of Microgrids with Intelligent Algorithms
Ahmed Kadhim Hado, Bashar S. Bashar, Musaddak Maher Abdul Zahra, Reza Alayi, Yaser Ebazadeh, Iswanto Suwarno
Journal of Robotics and Control Jrc, 2022
Daily scale evapotranspiration prediction over the coastal region of southwest Bangladesh: new development of artificial intelligence model
Lu Ye, Musaddak M. Abdul Zahra, Najah Kadhim Al-Bedyry, Zaher Mundher Yaseen
Stochastic Environmental Research and Risk Assessment, 2022
On The Neutrosophic Formula of Some Matrix Equations Derived from Data Mining Theory and Control Systems
S. Obaid Jameel, , , , , A. Mahdi Salih, R. Adnan Jaleel, Musaddak M. A. Zahra
International Journal of Neutrosophic Science, 2022
An Effective Framework for Enhancing Performance of Internet of Things using Ant Colony Meta-Heuristic and Machine Learning Algorithms
Abdullah Suhail Abed, Hassan Fakhry Hassan, Mohammed Hasan Aldulaimi, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2022, 2022
Optimised Internet of Thing framework based hybrid meta-heuristic algorithms for E-healthcare monitoring
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel
Iet Networks, 2022
Application of 3D scanning technology in Royal Malaysian Air Force Industrial Revolution 4.0-based aircraft maintenance
T. Nanthakumaran Thulasy, Puteri N. E. Nohuddin, Istas Fahrurrazi Nusyirwan, Mohd Hanafi Ahmad Hijazi, Musaddak Maher Abdul Zahra
Iet Networks, 2022
AI-Based convolute Neural Approach Management To Predict The RNA Structure
Saqib Rishi, Sandip Debnath, Safura Dewani, D. Stalin David, Refed Adnan Jalee, Musaddak Maher Abdul Zahra
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2022, 2022
DEVELOPING THREE DIMENSIONAL LOCALIZATION SYSTEM USING DEEP LEARNING AND PRE-TRAINED ARCHITECTURES FOR IEEE 802.11 WI-FI
Aseel Hamoud Hamza, Sabreen Ali Hussein, Ghassan Ahmad Ismaeel, Saad Qasim Abbas, Musadak Maher Abdul Zahra, Ahmad H. Sabry
Eastern European Journal of Enterprise Technologies, 2022
A novel secure artificial bee colony with advanced encryption standard technique for biomedical signal processing
Brwa Khalil Abdullah Ahmed, Rasha Dheyaa Mahdi, Tarek Ismail Mohamed, Refed Adnan Jaleel, Mohanad Ahmed Salih, et al.
Periodicals of Engineering and Natural Sciences, 2022
Blockchain-Based Decentralized Cloud Solutions for Data Transfer
Rajit Nair, Syed Nasrullah Zafrullah, P. Vinayasree, Prabhdeep Singh, Musaddak Maher Abdul Zahra, Tripti Sharma, Fardin Ahmadi
Computational Intelligence and Neuroscience, 2022
Retraction:Analysis of Agriculture and Food Supply Chain through Blockchain and IoT with Light Weight Cluster Head
Anass Hamadelneel Adow, Mahendra Kumar Shrivas, Hussain Falih Mahdi, Musaddak Maher Abdul Zahra, Devvret Verma, Nitika Vats Doohan, Asadullah Jalali
Computational Intelligence and Neuroscience, 2022
EVALUATING IMAGE ENCRYPTION ALGORITHMS FOR THE HYPERCHAOTIC SYSTEM AND FIBONACCI Q-MATRIX, SECURE INTERNET OF THINGS, AND ADVANCED ENCRYPTION STANDARD
Sabreen Ali Hussein, Aseel Hamoud Hamza, Suhad Al-Shoukry, Musaddak Maher Abdul Zahra, Ali Saleem Abu Nouwar, Sarah Ali Abdulkareem, Mohammed Hasan Ali, Mustafa Musa Jaber
Eastern European Journal of Enterprise Technologies, 2022
An Analysis of Urban Block Initiatives Influencing Energy Consumption and Solar Energy Absorption
Ngakan Ketut Acwin Dwijendra, Untung Rahardja, Narukullapati Bharath Kumar, Indrajit Patra, Musaddak Maher Abdul Zahra, Yulia Finogenova, John William Grimaldo Guerrero, Samar Emad Izzat, Taif Alawsi
Sustainability Switzerland, 2022
Bézier curves-based optimal trajectory design for multirotor uavs with any-angle pathfinding algorithms
Haitham AL Satai, Musaddak M. Abdul Zahra, Zaid I. Rasool, Ridhab Sami Abd-Ali, Catalin I. Pruncu
Sensors, 2021
Simulation of optical fiber cable regarding bandwidth limitations
A. H. Al-fatlawi, M. M. A. Zahra, Hussein Ali Rassool
International Journal of Nonlinear Analysis and Applications, 2021
Using a hybrid algorithm and feature selection for network anomaly intrusion detection
Journal of Mechanical Engineering Research and Developments, 2021
Environmental Emission Analysis of Biodiesel with Al2O3Nanometal Additives as Fuel in a Diesel Engine
Mohammad Ibrahim Al Mishlah Alghamdi, Ilhami Colak, Musaddak Maher Abdul Zahra, T. Bothichandar
Journal of Nanomaterials, 2021
Bayesian regularized neural network model development for predicting daily rainfall from sea level pressure data: Investigation on solving complex hydrology problem
Lu Ye, Saadya Fahad Jabbar, Musaddak M. Abdul Zahra, Mou Leong Tan
Complexity, 2021
Enhanced Vaccine Recommender System to prevent COVID-19 based on Clustering and Classification
Bahaulddin Nabhan Adday, Faris Ali Jasim Shaban, Mohammed Rasool Jawad, Refed Adnan Jaleel, Musadaq Mahir Abdel Zahra
7th International Conference on Engineering and Emerging Technologies Iceet 2021, 2021
Secure wireless sensor network using cryptographic technique based hybrid genetic firefly algorithm
Periodicals of Engineering and Natural Sciences, 2021
Comprehensive Review of Data Exchange in Vehicle-To-Pedestrian Communications: State of the Art
Zahraa Hashim Kareem, Khairun Nidzam bin Ramli, Alyaa Mohammed Jawad, Rami Qays Malik, Hussein A. Ameen, Musaddak M. Abdul Zahra
Periodicals of Engineering and Natural Sciences, 2021
Advancement of artificial intelligence techniques based lexicon emotion analysis for vaccine of COVID-19
Mohammed Rasool Jawad, Maysaloon Abed Qasim, G. Cazzato, Musadaq Mahir Abdel Zahra, Prabhakara Rao Kapula, N. Gherabi, R. A. Jaleel
Periodicals of Engineering and Natural Sciences, 2021
Artificial intelligent smart home automation with secured camera management-based GSM, cloud computing and arduino
Periodicals of Engineering and Natural Sciences, 2020
Novel Anti-Collision Algorithm in RFID Tag Identification Process
Musaddak Maher Abdulzahra
Advances in Intelligent Systems and Computing, 2019

Musaddak Maher Abdul Zahra

RESEARCH INTERESTS

Scopus Publications