Mowafaq Salem Alzboon

Scopus Publications

Sea animal image classification using machine learning algorithms for accurate and scalable prediction
Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon
Discover Artificial Intelligence, 2026
This study presents a comparative analysis of machine learning algorithms for classifying sea animal images using Orange Data Mining. The dataset, consisting of labeled images categorized into three classes—squid, statfish, and whale—was sourced from an open-access repository and processed using supervised learning workflows. Various models, including Neural Networks, Support Vector Machines (SVM), Random Forests, k-Nearest Neighbors (kNN), Logistic Regression, Naïve Bayes, Gradient Boosting, and AdaBoost, were evaluated using 10-fold cross-validation. Performance was assessed across multiple metrics: Area Under the Curve (AUC), Classification Accuracy (CA), F1-score, Precision, Recall, and LogLoss. The Neural Network model yielded the best overall performance with an AUC of 0.990 and a classification accuracy of 93.2%. SVM and Logistic Regression closely followed, outperforming other traditional and ensemble methods. Confusion matrix analysis further supported these findings, demonstrating low misclassification rates for Neural Networks. ROC curve evaluations for individual classes confirmed the robustness of top-performing models. The findings validate the effectiveness of low-code platforms like Orange in streamlining image classification pipelines for ecological and biological image datasets. Unlike prior studies that focus on a single deep learning model or custom code-centric pipelines, this work provides a comparative benchmark of nine supervised machine learning algorithms implemented in a low-code environment (Orange). This novelty supports non-programmer practitioners in rapidly deploying accurate sea-animal image classifiers while preserving interpretability and scalability. The findings highlight the potential of low-code tools as an accessible pathway for ecological image analysis and marine species monitoring. This study provides valuable insights for researchers aiming to deploy interpretable and scalable machine learning solutions in marine biology and related domains.
Brain tumor detection with real-world predictions in Jordan hospitals
Muhyeeddin Alqaraleh, Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Abdullah Alourani
Scientific Reports, 2026
The rising incidence of brain tumors and their diverse characteristics make early and accurate diagnosis increasingly challenging. Traditional diagnostic techniques, while effective, often rely on subjective assessment, highlighting the potential of machine learning (ML) to enhance diagnostic accuracy and efficiency. This study evaluates the performance of seven ML algorithms—Decision Tree, AdaBoost, k-Nearest Neighbors (k-NN), Neural Network, Logistic Regression, Random Forest, and Support Vector Machine (SVM)—for brain tumor classification. A comprehensive dataset of 7,023 instances, encompassing glioma, meningioma, pituitary tumors, and healthy samples, was used in a three-way balanced design, with models validated through stratified 10-fold cross-validation. With AUC values near 1.00, Specifically, the Neural Network achieved the highest performance with AUC = 0.996, accuracy = 0.958, F1 = 0.958, precision = 0.958, and recall = 0.958, followed closely by SVM (AUC = 0.993, accuracy = 0.940). the results show that sophisticated models like SVM and neural networks perform better in terms of prediction than more straightforward models like AdaBoost and Decision Trees. The work investigates data augmentation strategies like SMOTE to alleviate class imbalances and further improve model resilience. It also talks about how interpretable AI techniques like SHAP and LIME can be included to increase clinical acceptance and trust. In order to solve ethical issues with algorithmic bias and data protection, federated learning is also taken into consideration for safe multi-institutional collaboration. Notably, our models showed excellent dependability in correctly categorizing tumors when evaluated on actual clinical cases from Jordanian hospitals, highlighting their potential for practical implementation in rural healthcare settings. This research establishes benchmarks for ML-based tumor classification, paving the way for improved diagnostic capabilities in diverse and resource-constrained clinical environments, Validation on retrospective, anonymized cases from Jordanian hospitals confirmed clinical applicability, with models maintaining > 92% accuracy on real-world data.
A clinically accessible heart disease prediction framework: multi-model evaluation with ensemble learning and low-code deployment
Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah
Discover Applied Sciences, 2026
Heart disease remains a leading global cause of mortality, highlighting the urgent need for effective early diagnostic tools. This study introduces a robust, comparative machine learning framework for predicting heart disease based on a consolidated dataset comprising 918 patient records and 46 clinically relevant features. Ten well-established supervised learning algorithms—including Gradient Boosting, Random Forest, Logistic Regression, Support Vector Machine (SVM), Neural Network, AdaBoost, CN2 Rule Induction, k-Nearest Neighbors (kNN), Naive Bayes, and Decision Tree—were rigorously evaluated. The models were assessed using a suite of metrics, including accuracy, precision, recall, F1-score, area under the curve (AUC), and Matthew’s correlation coefficient (MCC), to ensure a comprehensive performance profile. Gradient Boosting achieved the highest predictive accuracy (87.4%) and AUC (0.928), outperforming all other models in identifying patterns within the clinical dataset. The methodology integrates both Python-based libraries and the Orange Data Mining tool to support low-code, reproducible workflows for healthcare practitioners and researchers. In addition to delivering high-performance classification, the study highlights model interpretability, feature relevance, and practical deployment using accessible platforms. These contributions underscore the potential of ensemble-based machine learning to enhance early detection and clinical decision-making in cardiovascular healthcare. This study distinguishes itself by integrating a low-code, clinician-friendly deployment pipeline using Orange Data Mining alongside Python, enabling real-time, interpretable risk assessment without requiring deep programming expertise. The framework emphasizes transparent feature relevance and multi-metric evaluation to support clinical decision-making.
Predictive Mathematical Modeling and Classification of Retail Sales Orders Using AI Machine Learning Techniques
Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Hamzeh Zureigat
Journal of Computer Science, 2026
This study presents a systematic mathematical model known as a low-code approach to classifying retail sales orders by size using AI machine learning techniques within the Orange Data Mining platform. Leveraging a real-world sales dataset sourced from Kaggle, we implemented and evaluated ten classification models, including ensemble learners (AdaBoost, Gradient Boosting), probabilistic classifiers (Naïve Bayes), distance-based methods (kNN), and interpretable algorithms (CN2 Rule Induction). Each model was assessed through 10-fold cross-validation using performance metrics such as accuracy, F1-score, precision, recall, AUC, and LogLoss. The experimental workflow integrated visual preprocessing, model training, and comparative evaluation, enabling reproducibility without programming expertise. The results reveal that ensemble models, particularly AdaBoost, achieved perfect classification accuracy (100%) and AUC (1.000), while CN2 Rule Induction offered near-perfect accuracy (99.8%) alongside interpretable rule-based outputs. Traditional models like Logistic Regression and kNN also demonstrated strong performance but were outperformed by advanced ensembles. This research contributes a novel combination of high-performing and explainable models in a retail classification task using a low-code framework. The proposed approach provides practical guidance for retailers, analysts, and educators seeking accurate and accessible predictive tools for operational decision-making. Future directions include multi-class extension, imbalance handling, and deployment in real-time environments.
Unravelling the Changing Information Science
Anber Abraheem Shlash Mohammad, Suleiman Ibrahim Shelash Mohammad, Asokan Vasudevan, Khaleel Ibrahim Al-Daoud, Mahmoud Ogla Alhassan Baniata, Mowafaq Salem Alzboon, Mutaz Abdel Wahed, Hariharan N. Krishnasamy, Vilkineswaran A. Maniam
Studies in Systems Decision and Control, 2026
Bridging AI and Business Intelligence for Enhanced Sales Strategies in Healthcare
Anber Abraheem Shlash Mohammad, Suleiman Ibrahim Shelash Mohammad, Asokan Vasudevan, Khaleel Ibrahim Al-Daoud, Nawaf Alshdaifat, Mutaz Abdel Wahed, Sharmila Devi Ramachandaran, Mowafaq Salem Alzboon, Vilkineswaran A. Maniam
Studies in Systems Decision and Control, 2026
Comparative Analysis of Mathematics Research in English and Chinese: A Bibliometric Study (2010–2025)
Anber Abraheem Shlash Mohammad, Khaleel Ibrahim Al-Daoud, Asokan Vasudevan, Suleiman Ibrahim Shelash Mohammad, Suhaila Abuowaida, Mowafaq Salem Alzboon, Chen Wenchang, Ruba Jafar Kutieshat, Mutaz Abdel Wahed
Studies in Systems Decision and Control, 2026
The Path and Effects of Computer Software: An All-Inclusive Research Approach
Anber Abraheem Shlash Mohammad, Suleiman Ibrahim Shelash, Asokan Vasudevan, Khaleel Ibrahim Al-Daoud, Mahmoud Ogla Alhassan Baniata, Mowafaq Salem Alzboon, Cheng Qian, Mutaz Abdel Wahed, Tee Mcxin
Studies in Systems Decision and Control, 2026
Factors Influencing Intention to Use AI in Auditing Practices: Evidence from Jordan
Anber Abraheem Shlash Mohammad, Khaleel Ibrahim Al-Daoud, Suleiman Ibrahim Shelash Mohammad, Asokan Vasudevan, Abdullah Ibrahim Mohammad, Mutaz Abdel Wahed, Suma Parahakaran, Mowafaq Salem Alzboon, Rabindra Dev Prasad Prasad
Studies in Systems Decision and Control, 2026
The Travel of Data Mining and Its Ripple in Computer Science
Anber Abraheem Shlash Mohammad, Khaleel Ibrahim Al-Daoud, Asokan Vasudevan, Suleiman Ibrahim Shelash Mohammad, Mahmoud Ogla Alhassan Baniata, Abdullah Ibrahim Mohammad, Mutaz Abdel Wahed, Chen Wenchang, Mowafaq Salem Alzboon
Studies in Systems Decision and Control, 2026
Business Intelligence in Healthcare: Transforming Data into Strategic Value
Anber Abraheem Shlash Mohammad, Asokan Vasudevan, Suleiman Ibrahim Shelash Mohammad, Khaleel Ibrahim Al-Daoud, Nawaf Alshdaifat, Mutaz Abdel Wahed, Mowafaq Salem Alzboon, Muhamad Saufi Che Rusuli, Rajani Balakrishnan
Studies in Systems Decision and Control, 2026
The Effect of Oil Prices and the Government Expenditure on Inflation
Anber Abraheem Shlash Mohammad, Khaled Mohammed Al-Sawaie, Khaleel Al-Daoud, Asokan Vasudevan, Suleiman Ibrahim Mohammad, Abdullah Mohammad, Amro Adel Abu Lemoun, Mowafaq Salem Alzboon, Mutaz Abdel Wahed
Studies in Systems Decision and Control, 2026
Protection and Analysis of Healthcare Data in Cloud Computing Environments: A Comprehensive Review of Security Measures and Analytical Methods
Anber Abraheem Shlash Mohammad, Suleiman Ibrahim Shelash Mohammad, Asokan Vasudevan, Khaleel Ibrahim Al-Daoud, Suhaila Abuowaida, Dheifallah Ibrahim Mohammad, Mowafaq Salem Alzboon, Mutaz Abdel Wahed, Vilkineswaran A. Maniam
Studies in Systems Decision and Control, 2026
The Evolution and Impact of Computer Simulation: A Comprehensive Research Analysis
Anber Abraheem Shlash Mohammad, Asokan Vasudevan, Khaleel Ibrahim Al-Daoud, Suleiman Ibrahim Shelash Mohammad, Mahmoud Ogla Alhassan Baniata, Mutaz Abdel Wahed, Sam Toong Hai, Muhamad Saufi Che Rusuli, Mowafaq Salem Alzboon
Studies in Systems Decision and Control, 2026
Cybersecurity Techniques for Protection of Big Data in Business Intelligence Systems: Consequences on Profitability and Efficiency
Anber Abraheem Shlash Mohammad, Khaleel Ibrahim Al-Daoud, Suleiman Ibrahim Shelash Mohammad, Asokan Vasudevan, Nawaf Alshdaifat, Mutaz Abdel Wahed, Sharmila Devi Ramachandaran, J. Bamini, Mowafaq Salem Alzboon
Studies in Systems Decision and Control, 2026
Management Information Systems to Business Intelligence: Travel Through Changing Information Requirements
Anber Abraheem Shlash Mohammad, Asokan Vasudevan, Khaleel Ibrahim Al-Daoud, Suleiman Ibrahim Shelash Mohammad, Nawaf Alshdaifat, Mutaz Abdel Wahed, Tee Mcxin, Mowafaq Salem Alzboon, Annie Wang Pei Ling
Studies in Systems Decision and Control, 2026
The Evolution and Impact of Virtual Reality in Computer Science: A Comprehensive Analysis
Anber Abraheem Shlash Mohammad, Suleiman Ibrahim Shelash Mohammad, Khaleel Ibrahim Al-Daoud, Asokan Vasudevan, Suhaila Abuowaida, Dheifallah Ibrahim Mohammad, Mutaz Abdel Wahed, Cheng Qian, Mowafaq Salem Alzboon
Studies in Systems Decision and Control, 2026
Genomic Frontiers: Decoding the Next-Generation Sequencing Revolution Through Advanced Data Analytics
Anber Abraheem Shlash Mohammad, Asokan Vasudevan, Suleiman Ibrahim Shelash Mohammad, Khaleel Ibrahim Al-Daoud, Nawaf Alshdaifat, Mowafaq Salem Alzboon, Mutaz Abdel Wahed, Muhamad Saufi Che Rusuli, Rajani Balakrishnan
Studies in Systems Decision and Control, 2026
The Impact of Big Data on Computer Science: A Comprehensive Analysis
Anber Abraheem Shlash Mohammad, Asokan Vasudevan, Suleiman Ibrahim Shelash Mohammad, Khaleel Ibrahim Al-Daoud, Suhaila Abuowaida, Sam Toong Hai, Mutaz Abdel Wahed, Mowafaq Salem Alzboon, Rajani Balakrishnan
Studies in Systems Decision and Control, 2026
The Development and Prospect of Computer Networks: An All-Inclusive Research Review
Anber Abraheem Shlash Mohammad, Asokan Vasudevan, Khaleel Ibrahim Al-Daoud, Suleiman Ibrahim Shelash Mohammad, Mahmoud Ogla Alhassan Baniata, J. Bamini, Mutaz Abdel Wahed, Mowafaq Salem Alzboon, Ruba Jafar Kutieshat
Studies in Systems Decision and Control, 2026
The Evolution and Future of Human–Computer Interaction: A Comprehensive Research Analysis
Anber Abraheem Shlash Mohammad, Asokan Vasudevan, Khaleel Ibrahim Al-Daoud, Suleiman Ibrahim Shelash Mohammad, Mahmoud Ogla Alhassan Baniata, Mowafaq Salem Alzboon, Sam Toong Hai, Muhamad Saufi Che Rusuli, Mutaz Abdel Wahed
Studies in Systems Decision and Control, 2026
An In-Depth Review of Mathematical Modeling’s Journey and Applications in Computer Science
Anber Abraheem Shlash Mohammad, Khaleel Ibrahim Al-Daoud, Asokan Vasudevan, Suleiman Ibrahim Shelash Mohammad, Suhaila Abuowaida, Mowafaq Salem Alzboon, Chen Wenchang, Ruba Jafar Kutieshat, Mutaz Abdel Wahed
Studies in Systems Decision and Control, 2026
The Evolution of Cybersecurity Behavior Studies: Insights from a Bibliometric Perspective
Anber Abraheem Shlash Mohammad, Asokan Vasudevan, Suleiman Ibrahim Mohammad, Khaleel Al-Daoud, Sabha Maria Nawaf Alka’awneh, Mowafaq Salem Alzboon, Annie Wang Pei Ling, Mutaz Abdel Wahed, Ala’a M. Al-Momani
Studies in Systems Decision and Control, 2026
The Computational Transformation of Social Science Research: A Comprehensive Bibliometric Analysis
Anber Abraheem Shlash Mohammad, Suleiman Ibrahim Shelash Mohammad, Asokan Vasudevan, Khaleel Ibrahim Al-Daoud, Nawaf Alshdaifat, Mowafaq Salem Alzboon, Sharmila Devi Ramachandaran, Hariharan N. Krishnasamy, Mutaz Abdel Wahed
Studies in Systems Decision and Control, 2026
The Evolution and Impact of Information Management in Computer Science: A Comprehensive Research Analysis
Anber Abraheem Shlash Mohammad, Asokan Vasudevan, Khaleel Ibrahim Al-Daoud, Suleiman Ibrahim Shelash Mohammad, Nawaf Alshdaifat, J. Bamini, Mowafaq Salem Alzboon, Sam Toong Hai, Mutaz Abdel Wahed
Studies in Systems Decision and Control, 2026
Hybrid Deep and Machine Learning Framework for Predicting Alzheimer’s Disease
Raed Alazaidah, Hamza Abuassi, Mo’ath Alluwaici, Mowafaq Alzboon, Mohammad Subhi Al-Batah, Muhyeeddin Alqaralleh
International Journal of Online and Biomedical Engineering, 2025
A Comparative Analysis of Machine Learning Models for Robust UAV-Bird Classification in Aerial Surveillance
Muhyeeddin Alqaraleh, Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon
International Journal of Robotics and Control Systems, 2025
Enhancing Real-Time Detection of Distributed Denial of Service (DDoS) Attacks on IoT Infrastructure
Mutaz Abdel Wahed, Azmi Halasa, Mowafaq Salem Alzboon
2025 5th International Conference on Emerging Smart Technologies and Applications Esmarta 2025, 2025
Optimizing Resource Discovery in Grid Computing: A Hierarchical and Weighted Approach with Behavioral Modeling
Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Subhi Al-Batah Mohammad
Latia, 2025
Diabetes Prediction and Management Using Machine Learning Approaches
Mowafaq Salem Alzboon, Muhyeeddin Alqaraleh, Mohammad Subhi Al-Batah
Data and Metadata, 2025
Superior Classification of Brain Cancer Types Through Machine Learning Techniques Applied to Magnetic Resonance Imaging
Mohammad Al-Batah, Mowafaq Salem Alzboon, Muhyeeddin Alqaraleh
Data and Metadata, 2025
Evaluating AI and Machine Learning Models in Breast Cancer Detection: A Review of Convolutional Neural Networks (CNN) and Global Research Trends
Mutaz Abdel Wahed, Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah
Latia, 2025
Predicting Blood Type: Assessing Model Performance with ROC Analysis
Malik A. Altayar, Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Wesam T. Almagharbeh
Data and Metadata, 2025
Automated quantification of vesicoureteral reflux using machine learning with advancing diagnostic precision
Mohammad Al-batah, Mohammad Al-Batah, Mowafaq Salem Alzboon, Esra Alzaghoul
Data and Metadata, 2025
Revolutionizing Blood Banks: AI-Driven Fingerprint-Blood Group Correlation for Enhanced Safety
Malik A. Altayar, Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Wesam T. Almagharbeh
Data and Metadata, 2025
From Complexity to Clarity: Improving Microarray Classification with Correlation-Based Feature Selection
Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah, Hatim Solayman Migdadi
Latia, 2025
Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data
Mohammad Subhi Al-Batah, Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Abdullah Alourani
Data and Metadata, 2025
AI Rx: Revolutionizing Healthcare Through Intelligence, Innovation, and Ethics
Mutaz Abdel Wahed, Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah
Seminars in Medical Writing and Education, 2025
Classifying Dental Care Providers Through Machine Learning with Features Ranking
Mohammad Subhi Al-Batah Al-batah, Mowafaq Salem Alzboon, Muhyeeddin Alqaraleh, Mohammed Hasan Abu-Arqoub, Rashiq Rafiq Marie
Data and Metadata, 2025
Machine Learning-Based Quantification of Vesicoureteral Reflux with Enhancing Accuracy and Efficiency
Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah, Lana Yasin Al Aesa, Mohammed Hasan Abu-Arqoub, Rashiq Rafiq Marie, Firas Hussein Alsmadi
Data and Metadata, 2025
Hybrid Ensemble Architecture for Brain Tumor Segmentation Using EfficientNetB4MobileNetV3 with Multi-Path Decoders
Suhaila Abuowaida, Yazan Alnsour, Zaher Salah, Raed Alazaidah, Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Nawaf Alshdaifat, Bashar Al-haj Moh’d
Data and Metadata, 2025
Evaluating Artificial Intelligence Integration in Education Through Integrating TAM and S–O–R
Hussam Mohd Al-Shorman, Seyed Ghasem Saatchi, Tawfeeq Alanaziand, Mowafaq Salem Alzboon, Sabha Maria” Nawaf Alka’awneh, et al.
Studies in Computational Intelligence, 2025
The Influence of Relative Advantage on the Acceptance of Artificial Intelligence in Jordanian SMEs
Mutaz Khaled Yousef Abdel Wahed, Najah Al-shanableh, Seyed Ghasem Saatchi, Basema Mohammad Salameh Abu thwaib, Hussam Mohd Al-Shorman, et al.
Studies in Computational Intelligence, 2025
The Influence of Compatibility on the Acceptance of Artificial Intelligence in Kuwaiti Universities
Seyed Ghasem Saatchi, Mutaz Khaled Yousef Abdel Wahed, Muhyeeddin Kamel Salman Alqaraleh, Hussam Mohd Al-Shorman, Tawfeeq Alanazi, et al.
Studies in Computational Intelligence, 2025
Emerging Technologies in the Middle East: Artificial Intelligence Adoption and Performance Expectancy in SMEs
Muhyeeddin Kamel Salman Alqaraleh, Mowafaq Salem Alzboon, Hussam Mohd Al-Shorman, Mutaz Khaled Yousef Abdel Wahed, Seyed Ghasem Saatchi, et al.
Studies in Computational Intelligence, 2025
The Role of Perceived Trust in Embracing Artificial Intelligence Technologies: Insights from SMEs
Mowafaq Salem Alzboon, Hussam Mohd Al-Shorman, Sabha Maria” Nawaf Alka’awneh, Seyed Ghasem Saatchi, Muhyeeddin Kamel Salman Alqaraleh, Enas Ismail Mohammad Samara, Mutaz Khaled Yousef Abdel Wahed, Sulieman Ibraheem Mohammad, Ala’a M. Al-Momani, Ayman Ahmad Abu Haija
Studies in Computational Intelligence, 2025
Impact of User Interface Attractiveness on the Willingness to Use Artificial Intelligence Among SMEs
Najah Al-shanableh, Muhyeeddin Kamel Salman Alqaraleh, Mowafaq Salem Alzboon, Sabha Maria Nawaf Alka’awneh, Mutaz Khaled Yousef Abdel Wahed, et al.
Studies in Computational Intelligence, 2025
Perceived Security and Privacy in Artificial Intelligence Adoption: Extending TAM in the Context of Jordanian SMEs
Sabha Maria Nawaf Alka’awneh, Hasliza Abdul Halim, Mutaz Khaled Yousef Abdel Wahed, Muhyeeddin Kamel Salman Alqaraleh, Mowafaq Salem Alzboon, et al.
Studies in Computational Intelligence, 2025
Harnessing Machine Learning for Quantifying Vesicoureteral Reflux: A Promising Approach for Objective Assessment
Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah, Mutaz Abdel Wahed, Ahmad Abuashour, Firas Hussein Alsmadi
International Journal of Online and Biomedical Engineering, 2024
Improving Oral Cancer Outcomes Through Machine Learning and Dimensionality Reduction
Mohammad Subhi Al-Batah, Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon
Data and Metadata, 2024
AI in the Sky: Developing Real-Time UAV Recognition Systems to Enhance Military Security
Salem Alzboon Mowafaq, Alqaraleh Muhyeeddin, Mohammad Subhi Al-Batah
Data and Metadata, 2024
Skywatch: Advanced Machine Learning Techniques for Distinguishing UAVs from Birds in Airspace Security
Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah
International Journal of Advanced Computer Science and Applications, 2024
Optimizing Genetic Algorithms with Multilayer Perceptron Networks for Enhancing TinyFace Recognition
Data and Metadata, 2024
Enhancing Image Cryptography Performance with Block Left Rotation Operations
Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Mazen Alzyoud, Najah Al-Shanableh
Applied Computational Intelligence and Soft Computing, 2024
Comparative Analysis of Advanced Data Mining Methods for Enhancing Medical Diagnosis and Prognosis
Mohammad Al-Batah, Mowafaq Salem Alzboon, Muhyeeddin Alqaraleh, Fawaz Ahmad Alzaghoul
Data and Metadata, 2024
Advanced Landslide Detection Using Machine Learning and Remote Sensing Data
Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Hatim Solayman Migdadi, Mutasem Alkhasawneh, Muhyeeddin Alqaraleh
Data and Metadata, 2024
Comprehensive Assessment of Cybersecurity Measures: Evaluating Incident Response, AI Integration, and Emerging Threats
Mutaz Abdel Wahed, Mowafaq Salem Alzboon, Muhyeeddin Alqaraleh, Azmi Halasa, Mohammad Al-Batah, Ahmad Fuad Bader
2024 7th International Conference on Internet Applications Protocols and Services Netapps 2024, 2024
Technological Innovations in Autonomous Vehicles: A Focus on Sensor Fusion and Environmental Perception
Mutaz Abdel Wahed, Mowafaq Salem Alzboon, Muhyeeddin Alqaraleh, Azmi Halasa, Mohammad Al-Batah, Ahmad Fuad Bader
2024 7th International Conference on Internet Applications Protocols and Services Netapps 2024, 2024
From Puffs to Predictions: Leveraging AI, Wearables, and Biomolecular Signatures to Decode Smoking’s Multidimensional Impact on Cardiovascular Health
Muhyeeddin Alqaraleh, Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Faisal Alzboon, Lujin Alzboon, Mohammad Nayef Alamoush
Seminars in Medical Writing and Education, 2024
Enhancing Diagnostic Precision in Pediatric Urology: Machine Learning Models for Automated Grading of Vesicoureteral Reflux
Mutaz Abdel Wahed, Mowafaq Salem Alzboon, Muhyeeddin Alqaraleh, Mohammad Al-Batah, Ahmad Fuad Bader, Salma Abdel Wahed
2024 7th International Conference on Internet Applications Protocols and Services Netapps 2024, 2024
AI-Driven UAV Distinction: Leveraging Advanced Machine Learning
Mowafaq Salem Alzboon, Muhyeeddin Alqaraleh, Mutaz Abdel Wahed, Abdullah Alourani, Ahmad Fuad Bader, Mohammad Al-Batah
2024 7th International Conference on Internet Applications Protocols and Services Netapps 2024, 2024
Automating Web Data Collection: Challenges, Solutions, and Python-Based Strategies for Effective Web Scraping
Mutaz Abdel Wahed, Mowafaq Salem Alzboon, Muhyeeddin Alqaraleh, Jaradat Ayman, Mohammad Al-Batah, Ahmad Fuad Bader
2024 7th International Conference on Internet Applications Protocols and Services Netapps 2024, 2024
Echoes in the Genome: Smoking’s Epigenetic Fingerprints and Bidirectional Neurobiological Pathways in Addiction and Disease
Muhyeeddin Alqaraleh, Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Faisal Alzboon, Lujin Alzboon, Mohammad Nayef Alamoush
Seminars in Medical Writing and Education, 2024
Advanced Machine Learning Models for Real-Time Drone and Bird Differentiation in Aerial Surveillance Systems
Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Mohammad Al-Batah, Oqeili Saleh, Hatim Solayman Migdadi, Ali Elrashidi, Raed Alazaidah
2024 25th International Arab Conference on Information Technology Acit 2024, 2024
Advanced ensemble machine learning techniques for optimizing diabetes mellitus prognostication: A detailed examination of hospital data
Najah Al-shanableh, Mazen Alzyoud, Raya Yousef Al-husban, Nail M. Alshanableh, Ashraf Al-Oun, Mohammad Subhi Al-Batah, Salem Alzboon Mowafaq
Data and Metadata, 2024
Innovative Machine Learning Solutions for Automated Kidney Tumor Detection in CT Imaging Through Comparative Analysis
Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Mohammad Al-Batah, Hatim Solayman Migdadi, Oqeili Saleh, Raed Alazaidah, Ali Elrashidi
2024 25th International Arab Conference on Information Technology Acit 2024, 2024
Prostate Cancer Detection and Analysis using Advanced Machine Learning
Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah
International Journal of Advanced Computer Science and Applications, 2023
Intelligent Heart Disease Prediction System with Applications in Jordanian Hospitals
Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Raed Alazaidah
International Journal of Advanced Computer Science and Applications, 2023
Early Diagnosis of Diabetes: A Comparison of Machine Learning Methods
Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah, Muhyeeddin Alqaraleh, Ahmad Abuashour, Ahmad Fuad Hamadah Bader
International Journal of Online and Biomedical Engineering, 2023
A Comparative Study of Machine Learning Techniques for Early Prediction of Prostate Cancer
Mowafaq Salem Alzboon, Mohammad Al-Batah, Muhyeeddin Alqaraleh, Ahmad Abuashour, Ahmad Fuad Bader
2023 IEEE 10th International Conference on Communications and Networking Comnet 2023 Proceedings, 2023
A Comparative Study of Machine Learning Techniques for Early Prediction of Diabetes
Mowafaq Salem Alzboon, Mohammad Al-Batah, Muhyeeddin Alqaraleh, Ahmad Abuashour, Ahmad Fuad Bader
2023 IEEE 10th International Conference on Communications and Networking Comnet 2023 Proceedings, 2023
Machine Learning Classification Algorithms for Accurate Breast Cancer Diagnosis
Mowafaq Salem Alzboon, Sami Qawasmeh, Muhyeeddin Alqaraleh, Ahmad Abuashour, Ahmad Fuad Bader, Mohammad Al-Batah
2023 3rd International Conference on Emerging Smart Technologies and Applications Esmarta 2023, 2023
Pushing the Envelope: Investigating the Potential and Limitations of ChatGPT and Artificial Intelligence in Advancing Computer Science Research
Mowafaq Salem Alzboon, Sami Qawasmeh, Muhyeeddin Alqaraleh, Ahmad Abuashour, Ahmad Fuad Bader, Mohammad Al-Batah
2023 3rd International Conference on Emerging Smart Technologies and Applications Esmarta 2023, 2023
The Two Sides of AI in Cybersecurity: Opportunities and Challenges
Mowafaq Salem Alzboon, Ahmad Fuad Bader, Ahmad Abuashour, Muhyeeddin Kamel Alqaraleh, Belal Zaqaibeh, Mohammad Al-Batah
Proceedings of 2023 2nd International Conference on Intelligent Computing and Next Generation Networks Icngn 2023, 2023
Semantic Text Analysis on Social Networks and Data Processing: Review and Future Directions
Information Sciences Letters, 2022
Survey on Patient Health Monitoring System Based on Internet of Things
Information Sciences Letters, 2022
A novel adaptive schema to facilitates playback switching technique for video delivery in dense LTE cellular heterogeneous network environments
Saleh Ali Alomari, Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah, Belal Zaqaibeh
International Journal of Electrical and Computer Engineering, 2020
Toward achieving self-resource discovery in distributed systems based on distributed quadtree
Journal of Theoretical and Applied Information Technology, 2020
Resource discovery mechanisms in shared computing infrastructure: A survey
Mowafaq Salem Alzboon, M. Mahmuddin, Suki Arif
Advances in Intelligent Systems and Computing, 2020
Enhanced logistics information service systems performance: using theoretical model and cybernetics’ principles
Saleh Ali Alomari, Safwan Al Salaimeh, Emran Al Jarrah, Mowafaq Salem Alzboon
Wseas Transactions on Business and Economics, 2020
An effective self-adaptive policy for optimal video quality over heterogeneous mobile devices and network discovery services
Saleh Ali, Mowafaq Salem, Belal, Mohammad Subhi Alomari, Alzboon, Zaqaibeh, Al-Batah
Applied Mathematics and Information Sciences, 2019
An advanced emergency warning message scheme based on vehicles speed and traffic densities
Mustafa Banikhalaf, Saleh Ali, Mowafaq Salem
International Journal of Advanced Computer Science and Applications, 2019
Evaluation of knowledge quality in the E -learning system
International Journal of Engineering Research and Technology, 2019
Gene Microarray Cancer classification using correlation based feature selection algorithm and rules classifiers
Mohammad Subhi Al-Batah, Belal Mohammad Zaqaibeh, Saleh Ali Alomari, Mowafaq Salem Alzboon
International Journal of Online and Biomedical Engineering, 2019
Dynamic network topology for resource discovery in shared computing infrastructure
M Mahmuddin, Mowafaq Salem Alzboon, Suki Arif
Advanced Science Letters, 2017
Distributed quadtree overlay for resource discovery in shared computing infrastructure
Suki Arif, Mowafaq Salem Alzboon, M Mahmuddin
Advanced Science Letters, 2017
Towards self-resource discovery and selection models in grid computing
Arpn Journal of Engineering and Applied Sciences, 2016
Towards autonomic overlay self-load balancing
Ibrahim Al-oqily, Mwafaq Alzboon, Hussein Al-Shemery, Ayoub Alsarhan
2013 10th International Multi Conference on Systems Signals and Devices Ssd 2013, 2013

Mowafaq Salem Alzboon

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