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Mayyadah Ramiz Mahmood

Observed names: Mahmood, Mayyadah R., Mayyadah Mahmood, Mayyadah R. Mahmood
Institution: University of Zakho
Observed institution: University of Zakho
ORCID: 0000-0002-7803-4097
Observed ORCID: 0000-0002-7803-4097
OpenAlex ID: A5064854502
Indonesian Journal of Electrical Engineering and Computer Science
2025 · Mahmood, Mayyadah R., Abdulrazzaq, Maiwan B., et al. · Indonesian Journal of Electrical Engineering and Computer Science · 318
Comprehensive Survey of Big Data Mining Approaches in Cloud Systems
2021 · Zainab Salih Ageed, Subhi R. M. Zeebaree, et al. · Qubahan Academic Journal · 156
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An Analytical Appraisal for Supervised Classifiers’ Performance on Facial Expression Recognition Based on Relief-F Feature Selection
2021 · Maiwan B. Abdulrazaq, Mayyadah R. Mahmood, et al. · Journal of Physics Conference Series · 61
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Classification techniques’ performance evaluation for facial expression recognition
2020 · Mayyadah R. Mahmood, Maiwan B. Abdulrazaq, et al. · Indonesian Journal of Electrical Engineering and Computer Science · 46
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Different Model for Hand Gesture Recognition with a Novel Line Feature Extraction
2019 · Mayyadah Ramiz Mahmood, Adnan Mohsin Abdulazeez · International Conference on Advanced Science and Engineering (ICOASE) · 29
Dynamic Hand Gesture Recognition System for Kurdish Sign Language Using Two Lines of Features
2018 · Mayyadah Ramiz Mahmood, Adnan Mohsin Abdulazeez, et al. · International Conference on Advanced Science and Engineering (ICOASE) · 26
Two Feature Selection Methods Comparison Chi-square and Relief-F for Facial Expression Recognition
2021 · Mayyadah R. Mahmood · Journal of Physics Conference Series · 20
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Analyses the Performance of Data Warehouse Architecture Types
2022 · Karwn Jameel Merceedi, Abdulmajeed Adil Yazdeen, et al. · Journal of Soft Computing and Data Mining · 14
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A Comparative Study of a New Hand Recognition Model Based on Line of Features and Other Techniques
2017 · Mayyadah R. Mahmood, Adnan M. Abdulazeez · Lecture notes on data engineering and communications technologies · 12
Classified Covid-19 by Densenet121-based Deep Transfer Learning From Ct-scan Images
2023 · Walat R. Ibrahim, Mayyadah R. Mahmood · Science Journal of University of Zakho · 6
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Performance evaluation of chi-square and relief-F feature selection for facial expression recognition
2022 · Mayyadah Ramiz Mahmood, Maiwan Bahjat Abdulrazzaq · Indonesian Journal of Electrical Engineering and Computer Science · 6
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COVID-19 detection based on convolution neural networks from CT-scan images: a review
2022 · Walat Ramadhan Ibrahim, Mayyadah Ramiz Mahmood · Indonesian Journal of Electrical Engineering and Computer Science · 3
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Enhanced dental caries detection using ConvNeXt-FPN with Faster R-CNN framework on panoramic and intraoral images
2026 · Asia Hussein Habib, Mayyadah Ramiz Mahmood · Imaging Science in Dentistry · 1
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Comparative Analysis of Deep Neural Networks for Online Facial Expression Recognition and Facial Shape Classification
2026 · Sirwan Younis Abdullah, Mayyadah Ramiz Mahmood · Dasinya Journal for Engineering and Informatics
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A Hybrid DenseNet121-InceptionV3 Model for Multi-Output Race and Gender Classification
2026 · Maiwan Bahjat Abdulrazzaq, Mayyadah Ramiz Mahmood, et al. · Iraqi Journal for Computer Science and Mathematics
Review of: "An Intelligent Analytics for People Detection Using Deep Learning"
2024 · Mayyadah Mahmood · Qeios
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Review of: "Enhancing Food Type Recognition: A Comprehensive Study on Sequential Convolutional Neural Networks for Image Classification Accuracy"
2024 · Mayyadah Mahmood · Qeios
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Review of: "Enhancing Cocoa Crop Resilience in Ghana: The Application of Convolutional Neural Networks for Early Detection of Disease and Pest Infestations"
2024 · Mayyadah Mahmood · Qeios
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The world is now experiencing a pneumonia outbreak caused by a novel coronavirus. The huge volume of medical literature on coronavirus has useful information that may assist medical research communities in addressing specific challenges. Health care professionals may improve their policies by quickly reviewing and getting specific data regarding coronavirus from various published research and the larger struggle against infectious disease. It has developed a technique for extracting actionable knowledge that automatically gathers pertinent data from sections and paragraphs related to a particular topic. There are continuous efforts to construct intelligent systems capable of automatically extracting useful information from many unstructured texts. In this paper, the comparison between many papers based on IoT and the knowledge base for solving the problem of Covid-19 has been conducted.
2022 · Hindreen Rashid Abdulqader, Mayyadah Ramiz Mahmood · Academic Journal of Nawroz University
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Works count: 19
Citation count: 698
H-index: 9
I10-index: 9
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