Maab Fathi Hamza holds a Master's degree in Information and Communication Engineering from the Al-Khwarizmi College of Engineering, University of Baghdad. My research interests include 5G networks, Artificial Iintelligence, and Deep Learning. Currently, I works as the Head of the Information Technology Unit at the College of Physical Education and Sports Sciences at the University of Baghdad.
More than two years of experience in AI algorithms and Information engineering
Head of the Website Unit - College of Physical Education and Sports Sciences - University of Baghdad
Artificial Intelligence (AI), Deep Learning (DL), 5G Network, Communication.
MSc. in Information and Communication Engineering BSc. in Computer Hardware and Software Engineering
AutoCAD, Visual Basic Program, C++ Program, Digital Electronics lab, Logic Lab, Computer Fundamentals, Microsoft office application (Word, Excel, Power point)
In recent years, the field of research around the congestion problem of 4G and 5G networks has grown, especially those based on artificial intelligence (AI). Although 4G with LTE is seen as a mature technology, there is a continuous improvement in the infrastructure that led to the emergence of 5G networks. As a result of the large services provided in industries, Internet of Things (IoT) applications and smart cities, which have a large amount of exchanged data, a large number of connected devices per area, and high data rates, have brought their own problems and challenges, especially the problem of congestion. In this context, artificial intelligence (AI) models can be considered as one of the main techniques that can be used to solve ne
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شهدت كرة القدم للصالات تطورًا كبيرًا في الأداء البدني وسرعة إيقاع اللعب، مما جعلها من أكثر الرياضات تطلبًا بدنيًا. ولتحقيق أقصى استفادة من التدريب وتحسين الأداء، أصبحت التمرينات التنافسية جزءًا أساسيًا من البرامج التدريبية للاعبين. يستهدف هذا البحث تحسين القوة المميزة بالسرعة لدى اللاعبين باستخدام أساليب تدريبية متقدمة تدعمها المكملات الغذائية. تعتبر القوة المميزة بالسرعة عنصرًا أساسيًا للاعبين في ك
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The purpose of this study is to investigate the research on artificial intelligence algorithms in football, specifically in relation to player performance prediction and injury prevention. To accomplish this goal, scholarly resources including Google Scholar, ResearchGate, Springer, and Scopus were used to provide a systematic examination of research done during the last ten years (2015–2025). Through a systematic procedure that included data collection, study selection based on predetermined criteria, categorisation based on AI applications in football, and assessment of major research problems, trends, and prospects, almost fifty papers were found and analysed. Summarising AI applications in football for performance and injury p
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(1)
Football is one of the most important team sports, practiced by men and women, young and old, across various age groups. The physical development in this sport can be attributed to athletic training and modern technology, which have contributed significantly to advancing the sports field in general. Outstanding performance in football requires precise and quick physical abilities, closely tied to the competitive nature of the game. Speed is fundamental in football, making the use of technologies such as GPS tracking devices and heart rate monitors essential in both training and matches. This study aims to develop the speed of Al-Talaba SC players in Baghdad using a scientifically-based approach to improve their performance. The impo
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