Mustafa Ali Abuzaraida

@misuratau.edu.ly

Department of Computer Science/ Faculty of Information Technology
Misurata University

Mustafa Ali Abuzaraida


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https://researchid.co/abuzaraida

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Science Applications, Artificial Intelligence
39

Scopus Publications

936

Scholar Citations

12

Scholar h-index

13

Scholar i10-index

Scopus Publications

  • Brewing Perfection: Real-Time Monitoring of Arabic Coffee Using IoT and Machine Learning
    Mustafa Ali Abuzaraida, Sarah A. L. gaud, Hamza Abrahim Hneish, Zainab S. Attarbashi
    Studies in Computational Intelligence, 2026
  • AI and RIoT for Rehabilitation: Advancing Hand Gesture Recognition and Voice Assistance
    Md Sariful Islam, Ahmad Anwar Zainuddin, Amir Aatieff Amir Hussin, Mohd Khairul Azmi Hassan, Asmarani Ahmad Puzi, Mohd Izzuddin Mohd Tamrin, Dini Handayani, Krishnan Subramaniam, Saidatul Izyanie Kamarudin, M. Reyasudin Basir Khan, Mohd Naqiuddin Johar, Mustafa Ali Abuzaraida
    Studies in Computational Intelligence, 2026
  • Cyberbullying Detection in the Libyan Dialect Using Convolutional Neural Networks
    Sara M. Elgoud, Mustafa Ali Abuzaraida, Zainab S. Attarbashi, Mohamed Ali Saip
    Jurnal Online Informatika, 2025
    ecently, the widespread use of social media has increased, leading to increased concerns about cyberbullying. It has become imperative to intensify efforts and methods to detect and manage cyberbullying through social media. Arabic has recently received increasing attention to improve the classification of Arabic texts. Given the multitude of Arabic dialects used on social media platforms by Arabic speakers to express their opinions and communicate with each other, applying this approach to Arabic becomes extremely challenging due to its structural and morphological complexity. Analyzing Arabic dialects using Natural Language Processing (NLP) tools can be more challenging than Standard Arabic. In this paper, the impact of using stopword removal and derivation techniques on detecting cyberbullying in the Libyan dialect was presented. The efficiency of text classification was compared when using a Libyan dialect word list alongside pre-generated Modern Standard Arabic (MSA) lists. The texts were classified using Convolutional Neural Network (CNN) classifiers, and the experiments showed that when using Libyan dialect words, the accuracy results were 92% and 83%, and when using only Standard Arabic stop words, the accuracy results were dropped to 91% and 77%. Based on these results, the higher accuracy was obtained when using the presented stop words list which it is specific to the Libyan dialect, and they had a positive impact on the results, better than Standard Arabic stop words.
  • AI-driven Influencer and Market Analysis: A Social Network Approach to Measure E-Commerce Relationships
    Juhaida Abu Bakar, Chong Kar Min, Mohd Zulhisham Mohd Radzi, Fauziah Baharom, Yuhanis Yusof, Mohamed Ali Saip, Ruziana Muhamad Rasli, Muhammad Amirul Ariff Zulkifli, Nuratikah Jamaludin, Mustafa Ali Abuzaraida
    Journal of Information and Communication Technology, 2025
    Social network analysis is a process of studying social structures and relationships using graph theory and data analysis techniques. It involves mapping and measuring connections and entities in a network. However, on online selling platforms, identifying influential entities such as individuals and high-value products remains a challenge due to the complexity of customer and seller interactions. This study aims to assess seller performance and product lifetime value using AI-driven network analysis involving a measure of centrality. AI-driven network analysis utilises artificial intelligence (AI) to identify influential individuals and predict emerging trends in consumer engagement. It uses weighted degree and betweenness centrality to assess their effectiveness in identifying influential entities, including sellers, products, or organisations in a commercial network. Weighted degree centrality measures the strength and frequency of direct connections, while betweenness centrality identifies entities that act as intermediaries across different network segments. The analysis reveals that weighted degree centrality, with a value of 3190 for annual seller performance, is more closely aligned with actual sales performance and stakeholder assessments, making it a more suitable metric for supporting business decisions in this context. The findings demonstrate that AI-driven analytics enable businesses to consistently identify high-performing sellers and products based on their structural positions within the network. It contributes to the development of more targeted marketing strategies, systematic recognition of top performers, and enhanced customer engagement through data-informed decision-making. Future research may explore the integration of dynamic network modelling with multi-layered e-commerce networks, thereby increasing the depth of analysis across various platforms and industries.
  • A Performance Analysis of Machine Learning Algorithms Based on Variety of Datasets
    Mustafa Ali Abuzaraida, Ibrahim Nasir Mahmood
    Studies in Systems Decision and Control, 2025
  • Classification of Arabic Comments to Detect Cyberbullying from Social Media Using Convolutional Neural Network and Meta-Learning
    Sarah Mansour Elgaud, Sarah Mansour Elgaud, Mustafa Ali Abuzaraida, Abdullah Alshehab
    Journal of Computer Science, 2025
    As a result of the proliferation of social media, cyberbullying has become widespread in the Arab community on social media and cyberbullying has become a concern targeting individuals and may cause some serious side effects. The problems of Natural Language Processing (NLP) for the Arabic language and its complexity make it difficult to classify texts accurately. In recent years, deep learning models have emerged as a viable option for solving some of the NLP problems. In this study, we constructed a hybrid approach of Convolutional Neural Network (CNN) and Meta-learning for classifying cyberbullying Arabic comments. A set of electronic text data in Libyan dialect and Modern Standard Arabic was collected from several Libyan social media platforms such as Facebook, YouTube, and other online platforms to identify instances of cyberbullying on social media. Pre-processing is a vital part of the data preparation process for detecting cyberbullying, where a CNN model was trained on the data. Finally, the model was evaluated for accuracy, recall, precision, and F1 scores. Thus, the results showed that CNN outperforms better when combined with Meta and gave higher results than CNN only. We obtained the best classification accuracy of 98, 91, and 84% for three datasets. The accuracy of CNN alone was 71, 69, and 52% respectively for the three experiments. These results confirm the success of the model and the improvement in CNN performance with Meta and that it gives better results than CNN. These results confirm the potential of neural networks in developing and succeeding in cyberbullying detection systems.
  • Digital Audio Watermarking Using Digital Signal Processing
    Sufyan Salim Mahmood Al-Dabbagh, Mustafa Ali Abuzaraida, Alyaa Ghanim Sulaiman, Mohammed Mahmoud Barq Al-Layl, Yasser Omar Arfida
    3rd International Conference on Business Analytics for Technology and Security Icbats 2025, 2025
    Digital audio watermarking is a method used to include undetectable digital data into an original audio transmission. The purpose of using this technology is to provide a mechanism for indicating the ownership and preservation of the embedded information. Watermarking is classified as either fragile or non-fragile, based on the required degree of resilience. The main problem is to guarantee that the watermark remains little, hence preventing any deterioration in audio quality. Varied methodologies and techniques have been established for digital audio watermarking, each with distinct advantages and disadvantages. The efficacy of a watermarking approach is often assessed based on standards like perceptual the quality of the audio, pliability to signal processing operations and assaults, and the precision of watermark extraction. This study will examine three different techniques named: Direct Sequence Spread Spectrum (DS-SS), Empirical Mode Decomposition (EMD), and Least Significant Bit (LSB) replacement. As a result of this study, DS-SS exhibited more audio quality reduction compared to previous systems. However, this degradation is undetectable to the human ear. It also proves significant resilience to assaults and high runtime complexity, making it a viable option for copyright protection. On the other hand, the audio quality of EMD was subpar and resilient to signal distortion during transmission with minimal runtime complexity which may be more suitable for content verification and broadcast monitoring. Lastly, LSB replacement showed the least decrease in audio quality, without any resilience to signal assaults, while demonstrating an extended extraction runtime that might be used for content authentication.
  • Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, applications, challenges and future research directions
    Adib Habbal, Mohamed Khalif Ali, Mustafa Ali Abuzaraida
    Expert Systems with Applications, 2024
  • Sentiment Analysis of Arabic Dialects: A Review Study
    Abdullah Habberrih, Mustafa Ali Abuzaraida
    Communications in Computer and Information Science, 2024
  • Sentiment Analysis of Libyan Middle Region Using Machine Learning with TF-IDF and N-grams
    Abdullah Habberrih, Mustafa Ali Abuzaraida
    Communications in Computer and Information Science, 2024
  • Building an Affordable Portable Storage Area Network (SAN) with Raspberry Pi: Design, Implementation, and Performance Evaluation
    Muhammad Solihin bin Ahmad Nasser, Zainab S. Attarbashi, Azana Hafizah Mohd Aman, Mustafa Ali Abuzaraida
    2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering Mi Sta 2024 Proceeding, 2024
  • Malaysia Cyber Fraud Prevention Application: Features and Functions
    Looi Xue Ying, Azana Hafizah Mohd Aman, Mohamad Sirajuddin Jalil, Taha Mohd Omar, Zainab S. Attarbashi, Mustafa Ali Abuzaraida
    Asia Pacific Journal of Information Technology and Multimedia, 2023
  • Smart Automated Robot Changing Tires using Ultrasonic Sensors
    Abdulrahman Alkandari, Adel Alfoudery, Mustafa Ali Abuzaraida, Abdullah Alshehab
    International Journal of Engineering Trends and Technology, 2023
  • A Proposed Model for E-learning Adaptability Measurement During COVID-19 Pandemic Using Data Mining Techniques
    Ibrahim Nasir Mahmood, Mustafa Ali Abuzaraida
    International Journal of Interactive Mobile Technologies, 2023
  • Doctor-Patient Queue for Emergency Contact Appointment Registration
    Abdulrahman Alkandari, Mohammed Alahmad, Nayfa almutairi, Mustafa Ali Abuzaraida, Danah AlMansou
    International Journal of Engineering Trends and Technology, 2023
  • IoT-based Heartbeats Monitoring System
    Mohamad Asyraf Noorza Bin Mohd Tamron, Zainab S. Attarbashi, Mustafa Ali Abuzaraida, Nesrine Atitallah, Saman Iftikhar, Dini Oktarina Dwi Handayani, Atikah Balqis Binti Basri
    2023 IEEE 9th International Conference on Computing Engineering and Design Icced 2023, 2023
  • Using IoT-Based Mobile Application to Build Smart Parking System
    Zainab S. Attarbashi, Tharshaan A-L Thamodharan, Mustafa Ali Abuzaraida, Saman Iftikhar, Noof Abdulaziz Alansari, Atikah Balqis Binti Basri, Dini Oktarina Dwi Handayani
    2023 IEEE 9th International Conference on Computing Engineering and Design Icced 2023, 2023
  • Light Mobile Application for Roads Accident Report
    International Journal of Mechanical Engineering, 2021
  • IMPLEMENTING A DYNAMIC WEBSITE FOR COLLECTING HANDWRITING TEXT
    Journal of Engineering Science and Technology, 2021
  • Performance of Supervised Learning Algorithms on Imbalanced Class Datasets
    Nur Anisah Binti Ramli, Maria Jasmin Binti Mohamed Jamil, Nur Nazifa Binti Zhamri, Mustafa Ali Abuzaraida
    Journal of Physics Conference Series, 2021
  • Online handwriting Arabic recognition system using k-nearest neighbors classifier and DCT features
    Mustafa Ali Abuzaraida, Mohammed Elmehrek, Esam Elsomadi
    International Journal of Electrical and Computer Engineering, 2021
  • Applications of Data Mining in Mitigating Fire Accidents Based on Association Rules
    Ibrahim Nasir Mahmood, Hussein Ali Aliedane, Mustafa Ali Abuzaraida
    International Journal of Interactive Mobile Technologies, 2021
  • Modeling an automation safety massage system (ASMS) based on using arduino and mobile applications for safe environment
    Journal of Green Engineering, 2021
  • Laser marks classification for retinal images based on convolutional neural network
    Mustafa Ali Abuzaraida, , Osama Mohamed Elrajubi, and
    International Journal of Engineering and Advanced Technology, 2019
  • Sentiment analysis for Malay language: Systematic literature review
    Dini Handayani, Normi Sham Awang Abu Bakar, Hamwira Yaacob, Mustafa Ali Abuzaraida
    Proceedings International Conference on Information and Communication Technology for the Muslim World 2018 Ict4m 2018, 2018
  • Retinal image laser marks detection using a convolutional neural network
    Osama Mohamed Elrajubi, Mustafa Ali Abuzaraida, Akram M. Zeki
    2018 International Conference on Innovation and Intelligence for Informatics Computing and Technologies 3ict 2018, 2018
  • Identifying the suitable reduction technique for mining medical data
    Mustafa Ali Abuzaraida, Amel Faraj Elramalli
    Icit 2017 8th International Conference on Information Technology Proceedings, 2017
  • Detection of bypass fraud based on speaker recognition
    Osama Mohamed Elrajubi, Ali Mustafa Elshawesh, Mustafa Ali Abuzaraida
    Icit 2017 8th International Conference on Information Technology Proceedings, 2017
  • The detection of the suitable reduction value of Douglas-Peucker algorithm in online handwritten recognition systems
    Mustafa Ali Abuzaraida, Salem Meftah Jebriel
    10th IEEE Int Conf on Service Operations and Logistics and Informatics Soli 2015 in Conjunction with Ict4all 2015, 2015
  • Investigating the usability of using Doodles Scan System (DSS): The case of Misurata
    Salem Meftah Jebriel, Haitham Alali, Mustafa Ali Abuzaraida
    10th IEEE Int Conf on Service Operations and Logistics and Informatics Soli 2015 in Conjunction with Ict4all 2015, 2015
  • Online recognition system for handwritten arabic chemical symbols
    Mustafa Ali Abuzaraida, Akram M. Zeki, Ahmed M. Zeki, Nor Farahidah Za'bah
    Proceedings 5th International Conference on Computer and Communication Engineering Emerging Technologies Via Comp Unication Convergence Iccce 2014, 2015
  • Online recognition system for handwritten hindi digits based on matching alignment algorithm
    Mustafa Ali Abuzaraida, Akram M. Zeki, Ahmed M. Zeki
    Proceedings 3rd International Conference on Advanced Computer Science Applications and Technologies Acsat 2014, 2014
  • Online database of Quranic handwritten words
    Journal of Theoretical and Applied Information Technology, 2014
  • Feature extraction techniques of online handwriting Arabic text recognition
    M. A. Abuzaraida, A. M. Zeki, A. M. Zeki
    2013 5th International Conference on Information and Communication Technology for the Muslim World Ict4m 2013, 2013
  • Problems of writing on digital surfaces in online handwriting recognition systems
    M. A. Abuzaraida, A. M. Zeki, Ahmed M. Zeki
    2013 5th International Conference on Information and Communication Technology for the Muslim World Ict4m 2013, 2013
  • Online recognition system for handwritten ARABIC mathematical symbols
    Mustafa Ali Abuzaraida, Akram M. Zeki, Ahmed M. Zeki
    Proceedings 2013 International Conference on Advanced Computer Science Applications and Technologies Acsat 2013, 2013
  • Recognition techniques for online arabic handwriting recognition systems
    Mustafa Ali Abuzaraida, Akram M. Zeki, Ahmed M. Zeki
    Proceedings 2012 International Conference on Advanced Computer Science Applications and Technologies Acsat 2012, 2012
  • Segmentation techniques for online Arabic handwriting Recognition: A survey
    Mustafa Ali Abuzaraida, Ahmed M. Zeki, Akram M. Zeki
    Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World ICT Connecting Cultures Ict4m 2010, 2010

RECENT SCHOLAR PUBLICATIONS

  • Comparative Analysis of Transformer-Based Architectures and Hybrid Deep Models for Colorectal Cancer Classification from Histopathological Images
    HA Snina, NA Ja’Adan, MA Abuzaraida
    2026 IEEE 5th International Maghreb Meeting of the Conference on Sciences … , 2026
    2026
  • IOT-INTEGRATED ACCIDENT DETECTION AND AUTOMATED EMERGENCY ALERT SYSTEM
    MA Abuzaraida, NAH Hilmy, NFM Yaziz, N Alya
    INTERNATIONAL GRAND INVENTION, INNOVATION AND DESIGN EXPO (IGIIDeation) 2026 … , 2026
    2026
  • Brewing Perfection: Real-Time Monitoring of Arabic Coffee Using IoT and Machine Learning
    MA Abuzaraida, SAL gaud, HA Hneish, ZS Attarbashi
    Selected Papers from the International Conference on Artificial Intelligence … , 2026
    2026
  • AI and RIoT for Rehabilitation: Advancing Hand Gesture Recognition and Voice Assistance
    MS Islam, AA Zainuddin, AAA Hussin, MKA Hassan, AA Puzi, MIM Tamrin, ...
    Selected Papers from the International Conference on Artificial Intelligence … , 2026
    2026
    Citations: 1
  • Cyberbullying Detection in the Libyan Dialect Using Convolutional Neural Networks
    SM Elgoud, MA Abuzaraida, ZS Attarbashi, MA Saip
    Jurnal Online Informatika 10 (2), 352-361 , 2025
    2025
  • A Performance Analysis of Machine Learning Algorithms Based on Variety of Datasets
    MA Abuzaraida, IN Mahmood
    The Digital Edge: Transforming Business Systems for Strategic Success … , 2025
    2025
  • AI-driven Influencer and Market Analysis: A Social Network Approach to Measure E-Commerce Relationships.
    JA Bakar, CK Min, M Radzi, M Zulhisham, F Baharom, Y Yusof, MA Saip, ...
    Journal of Information & Communication Technology 24 (3) , 2025
    2025
    Citations: 2
  • Predicting The Type of Treatment for Diabetes Patients using Machine Learning Algorithms
    MA Abuzaraida, OS Gliwan, IA Bala
    International Journal for Science and Technology (AIJST) 8 (15), 69-97 , 2025
    2025
  • Classification of Arabic Comments to Detect Cyberbullying from Social Media Using Convolutional Neural Network and Meta-Learning
    SM Elgaud, MA Abuzaraida, A Alshehab
    Journal of Computer Science 21 (3), 622-634 , 2025
    2025
    Citations: 2
  • Digital Audio Watermarking Using Digital Signal Processing
    SSM Al-Dabbagh, MA Abuzaraida, AG Sulaiman, MMB Al-Layl, YO Arfida
    2025 3rd International Conference on Business Analytics for Technology and … , 2025
    2025
  • A review of the available Arabic dialects datasets for Sentiment Analysis
    A Habberrih, MA Abuzaraida
    Journal of Sustainable Research in Applied Sciences 1 (2), 30-37 , 2024
    2024
    Citations: 1
  • مراقبة تحفيظ القرآن الكريم بناء على التعرف على الكلام وتقنيات البرمجة اللغوية العصبية ‎
    عمر صالح شكلاوون, علي سالم شفتر, مصطفى علي أبوزريدة, أكرم محمد زكي, ... ‎
    المجلة الدولية للتطبيقات الإسلامية في علم الحاسب والتقنية-إجازات 12 (2) , 2024 ‎
    2024
  • Building an affordable portable storage area network (SAN) with Raspberry Pi: design, implementation, and performance evaluation
    MS bin Ahmad Nasser, ZS Attarbashi, AHM Aman, MA Abuzaraida
    2024 IEEE 4th International Maghreb Meeting of the Conference on Sciences … , 2024
    2024
    Citations: 2
  • Artificial Intelligence Trust, risk and security management (AI trism): Frameworks, applications, challenges and future research directions
    A Habbal, MK Ali, MA Abuzaraida
    Expert Systems with Applications 240, 122442 , 2024
    2024
    Citations: 572
  • Sentiment Analysis of Libyan Dialect Using Machine Learning with Stemming and Stop-words Removal
    A Habberrih, MA Abuzaraida
    5TH INTERNATIONAL CONFERENCE ON COMMUNICATION ENGINEERING AND COMPUTER SCIENCE , 2024
    2024
    Citations: 8
  • Detecting Copy-Move Forgery in Images Using Convolutional Neural Networks (CNNs)
    MA Abuzaraida, FB Madi, AB Zabiya
    5TH INTERNATIONAL CONFERENCE ON COMMUNICATION ENGINEERING AND COMPUTER SCIENCE , 2024
    2024
    Citations: 2
  • Using IoT-based mobile application to build smart parking system
    ZS Attarbashi, TAL Thamodharan, MA Abuzaraida, S Iftikhar, NA Alansari, ...
    2023 IEEE 9th International Conference on Computing, Engineering and Design … , 2023
    2023
    Citations: 4
  • Iot-based heartbeats monitoring system
    MANBM Tamron, ZS Attarbashi, MA Abuzaraida, N Atitallah, S Iftikhar, ...
    2023 IEEE 9th International Conference on Computing, Engineering and Design … , 2023
    2023
    Citations: 1
  • DEVELOPING AN ONLINE PRACTICUM EVALUATION MANAGEMENT SYSTEM
    B Osman, MR Uddin, AR Rahmat, MA Abuzaraida
    Journal of Digital System Development, 24-37 , 2023
    2023
    Citations: 2
  • JOURNAL OF DIGITAL SYSTEM DEVELOPMENT
    B Osman, MR Uddin, SCC Sop Chit, AR Rahmat, MA Abuzaraida
    Journal of Digital System Development: Vol 24, 38 , 2023
    2023

MOST CITED SCHOLAR PUBLICATIONS

  • Artificial Intelligence Trust, risk and security management (AI trism): Frameworks, applications, challenges and future research directions
    A Habbal, MK Ali, MA Abuzaraida
    Expert Systems with Applications 240, 122442 , 2024
    2024
    Citations: 572
  • Segmentation techniques for online Arabic handwriting recognition: a survey
    MA Abuzaraida, AM Zeki, AM Zeki
    Proceeding of the 3rd International Conference on Information and … , 2010
    2010
    Citations: 33
  • Feature extraction techniques of online handwriting arabic text recognition
    MA Abuzaraida, AM Zeki, AM Zeki
    2013 5th International Conference on Information and Communication … , 2013
    2013
    Citations: 30
  • Online handwriting Arabic recognition system using k-nearest neighbors classifier and DCT features
    MA Abuzaraida, M Elmehrek, E Elsomadi
    International Journal of Electrical and Computer Engineering 11 (4), 3584 , 2021
    2021
    Citations: 26
  • Recognition techniques for online arabic handwriting recognition systems
    MA Abuzaraida, AM Zeki, AM Zeki
    2012 International Conference on Advanced Computer Science Applications and … , 2012
    2012
    Citations: 25
  • Sentiment analysis for Malay language: Systematic literature review
    D Handayani, NSAA Bakar, H Yaacob, MA Abuzaraida
    2018 International Conference on Information and Communication Technology … , 2018
    2018
    Citations: 21
  • Problems of writing on digital surfaces in online handwriting recognition systems
    MA Abuzaraida, AM Zeki, AM Zeki
    2013 5th International Conference on Information and Communication … , 2013
    2013
    Citations: 21
  • ONLINE DATABASE OF QURANIC HANDWRITTEN WORDS.
    MA Abuzaraida, AM Zeki, AM Zeki
    Journal of Theoretical & Applied Information Technology 62 (2) , 2014
    2014
    Citations: 20
  • Teaching lab-based courses remotely: Approaches, technologies, challenges, and ethical issues
    ZS Attarbashi, AHA Hashim, MA Abuzaraida, OO Khalifa, M Mustafa
    IIUM Journal of Educational Studies 9 (3), 37-51 , 2021
    2021
    Citations: 14
  • Online recognition system for handwritten hindi digits based on matching alignment algorithm
    MA Abuzaraida, AM Zeki, AM Zeki
    2014 3rd International Conference on Advanced Computer Science Applications … , 2014
    2014
    Citations: 14
  • Difficulties and challenges of recognizing arabic text
    MA Abuzaraida, AM Zeki, AM Zeki
    Computer Applications: Theories and Applications , 2011
    2011
    Citations: 14
  • Sentiment analysis of Arabic dialects: A review study
    A Habberrih, MA Abuzaraida
    International Conference on Computing and Informatics, 137-153 , 2023
    2023
    Citations: 13
  • The detection of the suitable reduction value of Douglas-Peucker algorithm in online handwritten recognition systems
    MA Abuzaraida, SM Jebriel
    2015 IEEE International Conference on Service Operations And Logistics, And … , 2015
    2015
    Citations: 10
  • Online recognition system for handwritten arabic digits
    MA Abuzaraida, AM Zeki, AM Zeki
    Proceeding of the The 7th International Conference on Information Technology … , 2015
    2015
    Citations: 9
  • Sentiment Analysis of Libyan Dialect Using Machine Learning with Stemming and Stop-words Removal
    A Habberrih, MA Abuzaraida
    5TH INTERNATIONAL CONFERENCE ON COMMUNICATION ENGINEERING AND COMPUTER SCIENCE , 2024
    2024
    Citations: 8
  • Detection of bypass fraud based on speaker recognition
    OM Elrajubi, AM Elshawesh, MA Abuzaraida
    2017 8th International Conference on Information Technology (ICIT), 50-54 , 2017
    2017
    Citations: 8
  • Online recognition system for handwritten Arabic mathematical symbols
    MA Abuzaraida, AM Zeki, AM Zeki
    2013 International Conference on Advanced Computer Science Applications and … , 2013
    2013
    Citations: 8
  • Malaysia Cyber Fraud Prevention Application : Features And Functions
    AHMA Looi Xue Ying, MS Jalil, TM Omar, ZS Attarbashi, MA Abuzaraida
    Asia-Pacific Journal of Information Technology and Multimed 12 (2), 312-327 , 2023
    2023
    Citations: 6
  • Performance of supervised learning algorithms on imbalanced class datasets
    NAB Ramli, MJBM Jamil, NNB Zhamri, MA Abuzaraida
    Journal of Physics: Conference Series 1997 (1), 012030 , 2021
    2021
    Citations: 6
  • Applications of data mining in mitigating fire accidents based on association rules
    IN Mahmood, HAK Aliedane, MA Abuzaraida
    International Journal of Interactive Mobile Technologies 15 (12), 159 , 2021
    2021
    Citations: 6