Publications

Sports Activity Recognition
  1. Emam, Ahmed Mohamed, Omar Tarek Ali, and Ayman Atia. 2023. “Football Activities Classification.” In 2023 Intelligent Methods, Systems, and Applications (IMSA), 520–25. https://doi.org/10.1109/IMSA58542.2023.10217464.
  2. Tarek, Omar, Omar Magdy, and Ayman Atia. 2021. “Yoga Trainer for Beginners via Machine Learning.” In 2021 9th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC), 75–78. https://doi.org/10.1109/JAC-ECC54461.2021.9691425.
  3. Ezzeldin, Mustafa, Amr S. Ghoneim, Laila Abdelhamid, and Ayman Atia. 2023. “On Understanding Sports–HAR: Hierarchical, Mobile, Multi-Sensor Based Classification of Table–Tennis Strokes.” In 2023 Intelligent Methods, Systems, and Applications (IMSA), 142–48. https://doi.org/10.1109/IMSA58542.2023.10217737.
  4. Bassel Emad, Yehya Shams, Omar Atef. 2020. “IKARATE: KARATE KATA AIDING SYSTEM.” INTERNATIONAL JOURNAL OF UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (JUSPN) 12 (2): 25–30.
  5. Daker, Mahmoud, Farida Elsayaad, and Ayman Atia. 2023. “Karate Kata Style Classification Using Pose Landmarks and Deep Learning.” In 2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES), 228–31. https://doi.org/10.1109/NILES59815.2023.10296806.
  6. Ehab, Mohamed, Hossam Mohamed, Mohamed Ahmed, Mostafa Hammad, Noha ElMasry, and Ayman Atia. 2020. “ISwimCoach: A Smart Coach Guiding System for Assisting Swimmers Free Style Strokes: ISwimCoach.” In Companion Publication of the 2020 International Conference on Multimodal Interaction, 265–69. ICMI ’20 Companion. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3395035.3425314.
  7. Elkess, George, Seif Elmoushy, and Ayman Atia. 2023. “Karate First Kata Performance Analysis and Evaluation with Computer Vision and Machine Learning.” In 2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 1–6. https://doi.org/10.1109/MIUCC58832.2023.10278313.
  8. Emad, Bassel, Omar Atef, Yehya Shams, Ahmed El-Kerdany, Nada Shorim, Ayman Nabil, and Ayman Atia. 2020a. “iKarate: Improving Karate Kata.” Procedia Computer Science 170: 466–73. https://doi.org/https://doi.org/10.1016/j.procs.2020.03.090.
  9. Tamer, Salma, and Ayman Atia. 2022. “Recognition of Butterfly Strokes Using Different Machine Learning Models.” In 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), 1–6. https://doi.org/10.1109/ICECET55527.2022.9872896.
  10. ———. 2020b. “iKarate: Karate Kata Guidance System.” Procedia Computer Science 175: 149–56. https://doi.org/https://doi.org/10.1016/j.procs.2020.07.024.
  11. Hegazy, Habiba, Mohamed Abdelsalam, Moustafa Hussien, Seif Elmosalamy, Yomna M. I. Hassan, Ayman M. Nabil, and Ayman Atia. 2020a. “IPingPong: A Real-Time Performance Analyzer System for Table Tennis Stroke’s Movements.” Procedia Computer Science 175: 80–87. https://doi.org/https://doi.org/10.1016/j.procs.2020.07.014.
  12. Hegazy, Habiba, Mohamed Abdelsalam, Moustafa Hussien, Seif Elmosalamy, Yomna M. I Hassan, Ayman M. Nabil, and Ayman Atia. 2020b. “Online Detection and Classification of in-Corrected Played Strokes in Table Tennis Using IR Depth Camera.” Procedia Computer Science 170: 555–62. https://doi.org/https://doi.org/10.1016/j.procs.2020.03.125.
  13. Hegazy, Habiba, Mohamed Abdelsalamand Moustafa Hussien, Seif Elmosalamy, Yomna Hassan, Ayman Nabil, and Ayman Atia. 2021. “Multi-Sensor Fusion for Online Detection and Classification of Table Tennis Strokes.” International Journal of Intelligent Engineering and Systems 14 (2): 201–10. https://doi.org/10.22266/ijies2021.0430.18.
  14. Mostafa, Khaled, Mohamed Hany, and Ayman Atia. 2023. “Automated Evaluation of Karate Practitioners’ Style During the First Kata Performance Using Deep Learning and Pose Estimation.” In 2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES), 238–41. https://doi.org/10.1109/NILES59815.2023.10296663.
  15. Nabil, Ayman, Habiba Hegazy, Mohamed Abdelsalam, Moustafa Hussien, Seif Elmosalamy, Yomna MI Hassan, and Ayman Atia. 2020. “Usability Study of a Comprehensive Table Tennis AR-Based Training System with the Focus on Players’ Strokes.” Journal of Ubiquitous Systems & Pervasive Networks 13 (1): 01–09.
  16. Nady, Ahmed, Amal Aboutab, and Ayman Atia. 2021. “Automated Sports Player Performance Analysis: A Survey.” FCI-H Informatics Bulletin 3 (2): 11–16. https://fcihib.journals.ekb.eg/article_185782_c96bf5498da536b7049e574995c2a8b5.pdf.
  17. Walid, Mazen, Mostafa Ameen, and Ayman Atia. 2023. “Real-Time Detection of Taikyoku Shodan Karate Kata Poses Using Classical Machine Learning and Deep Learning Models.” In 2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 15–20. https://doi.org/10.1109/MIUCC58832.2023.10278373.
  18. Wessa, Eriny, Abdelaziz Ashraf, and Ayman Atia. 2021. “Can Pose Classification Be Used to Teach Kickboxing?” In 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), 1–6. https://doi.org/10.1109/ICECET52533.2021.9698656.
  19. Yasser, Ammar, Doha Tariq, Radwa Samy, Mennat Allah Hassan, and Ayman Atia. 2019. “Smart Coaching: Enhancing Weightlifting and Preventing Injuries.” International Journal of Advanced Computer Science and Applications 10 (7). https://doi.org/10.14569/IJACSA.2019.0100789.
Education and Learning
  1. Hany, Ashraf, Enjy Ramadan, Amr Akl, and Ayman Atia. 2023. “The Effect of Using Tangible User Interfaces Compared to Traditional Learning for Teaching Programming in Higher Education: An Experimental Study.” In 2023 Intelligent Methods, Systems, and Applications (IMSA), 514–19. https://doi.org/10.1109/IMSA58542.2023.10217780.
  2. Ali, Sara Ahmed Sayed, Neila Chettaoui, Ayman Atia, Med. Salim Bouhlel, and Dalia Mohamed Abdel Mohaiman. 2021. “A Futuristic Design Vision of Tangible User Interfaces on Enhancing Montessori.” Interactive Learning Environments 0 (0): 1–16. https://doi.org/10.1080/10494820.2021.1987275.
  3. Atia, Ayman, Ahmed Mohamed Fahmy Yousef, Alaa Hamdy, Ahmed M. Abd El-Haleem, and Mahmoud M. Elmesalawy. 2021. “Intelligent Virtual Tutor for Online Laboratory Experiments Based on Modelling the Student’s Mouse Interaction Behavior.” In 2021 IEEE 12th Annual Ubiquitous Computing, Electronics Mobile Communication Conference (UEMCON), 0154–59. https://doi.org/10.1109/UEMCON53757.2021.9666511.
  4. Ayman Atia, Chettaoui, Neila. 2022. “Embodied Learning via Tangible User Interfaces: The Impact of Physical Interaction on Learning Performance.” International Journal of Technology Enhanced Learning 14 (2): 180.
  5. Chettaoui, Neila, Ayman Atia, and Med Salim Bouhlel. “Exploring the Impact of Interaction Modality on Students’ Learning Performance.” Journal of Educational Computing Research 0 (0): 07356331211027297. https://doi.org/10.1177/07356331211027297.
  6. ———. 2021. “Predicting Student Performance in an Embodied Learning Environment.” In 2021 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 1–7. https://doi.org/10.1109/MIUCC52538.2021.9447603.
  7. ———. 2022a. “Predicting Students Performance Using Eye-Gaze Features in an Embodied Learning Environment.” In 2022 IEEE Global Engineering Education Conference (EDUCON), 704–11. https://doi.org/10.1109/EDUCON52537.2022.9766783.
  8. Chettaoui, Neila, Ayman Atia, and Med. Salim Bouhlel. 2022b. “Examining the Effects of Embodied Interaction Modalities on Students’ Retention Skills in a Real Classroom Context.” Journal of Computers in Education, January. https://doi.org/10.1007/s40692-021-00213-9.
  9. Elmesalawy, Mahmoud M., Ayman Atia, Ahmed Mohamed Fahmy Yousef, Ahmed M. Abd El-Haleem, Mohamed G. Anany, Noha A. Elmosilhy, Abdullah I. Salama, Alaa Hamdy, Helmy M. El Zoghby, and Eman Serag El Din. 2021. “AI-Based Flexible Online Laboratory Learning System for Post-COVID-19 Era: Requirements and Design.” In 2021 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 1–7. https://doi.org/10.1109/MIUCC52538.2021.9447601.
  10. Nady, Mario, and Ayman Atia. 2022. “Multi-Modalities Analysis in Profiled Learning.” In 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), 1–6. https://doi.org/10.1109/ICECET55527.2022.9873429.
  11. N.Chettaoui, A.Atia, and M. S. Bouhlel. 2020. “Exploring the Impact of Multimodal Adaptive Learning with Tangible Interaction on Learning Motivation.” In 2020 15th International Conference on Computer Engineering and Systems (ICCES), 1–6. https://doi.org/10.1109/ICCES51560.2020.9334588.
  12. Yousef, Ahmed Mohamed Fahmy, Ayman Atia, Amira Youssef, Noha A. Saad Eldien, Alaa Hamdy, Ahmed M. Abd El-Haleem, and Mahmoud M. Elmesalawy. 2021. “Automatic Identification of Student’s Cognitive Style from Online Laboratory Experimentation Using Machine Learning Techniques.” In 2021 IEEE 12th Annual Ubiquitous Computing, Electronics Mobile Communication Conference (UEMCON), 0143–49. https://doi.org/10.1109/UEMCON53757.2021.9666516.
Animal Behavior
  1. Elbarrany, Abdullah Magdy, Abdallah Mohialdin, and Ayman Atia. 2023a. “Abnormal Behavior Analysis for Surveillance in Poultry Farms Using Deep Learning.” In 2023 Intelligent Methods, Systems, and Applications (IMSA), 56–61. https://doi.org/10.1109/IMSA58542.2023.10217676.
  2. ———. 2023b. “The Use of Pose Estimation for Abnormal Behavior Analysis in Poultry Farms.” In 2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES), 33–36. https://doi.org/10.1109/NILES59815.2023.10296704.
  3. Anas, Omar, Youssef Wageeh, Hussam El-Din Mohamed, Ali Fadl, Noha ElMasry, Ayman Nabil, and Ayman Atia. 2020. “Detecting Abnormal Fish Behavior Using Motion Trajectories in Ubiquitous Environments.” Procedia Computer Science 175: 141–48. https://doi.org/https://doi.org/10.1016/j.procs.2020.07.023.
  4. Ashraf, AbdelAziz, and Ayman Atia. 2021. “Comparative Study Between Transfer Learning Models to Detect Shrimp Diseases.” In 2021 16th International Conference on Computer Engineering and Systems (ICCES), 1–6. https://doi.org/10.1109/ICCES54031.2021.9686116.
  5. Elmasry, Yomna, Magda Elzeky, and Ayman Atia. 2023. “Multiple Moving Objects Using Deep Learning for Trajectory Extraction and Clustering.” In 2023 Intelligent Methods, Systems, and Applications (IMSA), 62–67. https://doi.org/10.1109/IMSA58542.2023.10217507.
  6. Hany, Kerolos, Youssef Ayman, and Ayman Atia. 2023. “Performance Evaluation of Pre-Trained Deep Learning Models for Bird Species Identification.” In 2023 Intelligent Methods, Systems, and Applications (IMSA), 309–14. https://doi.org/10.1109/IMSA58542.2023.10255070.
  7. Mohamed, Hussam El-Din, Ali Fadl, Omar Anas, Youssef Wageeh, Noha ElMasry, Ayman Nabil, and Ayman Atia. 2020. “MSR-YOLO: Method to Enhance Fish Detection and Tracking in Fish Farms.” Procedia Computer Science 170: 539–46. https://doi.org/https://doi.org/10.1016/j.procs.2020.03.123.
  8. Mohialdin, Abdallah Mohamed, Abdullah Magdy Elbarrany, and Ayman Atia. 2023. “Chicken Behavior Analysis for Surveillance in Poultry Farms.” International Journal of Advanced Computer Science and Applications 14 (3). https://doi.org/10.14569/IJACSA.2023.01403106.
  9. Saleh, Dema, Moemen Ahmed, Mai Zaafan, Yasmine Farouk, and Ayman Atia. 2023. “A Pharmacology Toolkit for Animal Pose Estimation, Tracking and Analysis.” In 2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 1–7. https://doi.org/10.1109/MIUCC58832.2023.10278344.
  10. Shiha, Noor, Nevien Abdelkhalek, Mohamed M. Refaey, and Ayman Atia. 2023. “Aqua-Farm Fish Behavior Analysis Using Machine Learning.” In 2023 Intelligent Methods, Systems, and Applications (IMSA), 418–23. https://doi.org/10.1109/IMSA58542.2023.10217422.
  11. Wageeh, Youssef, Hussam El-Din Mohamed, Ali Fadl, Omar Anas, Noha ElMasry, Ayman Nabil, and Ayman Atia. 2021. “YOLO Fish Detection with Euclidean Tracking in Fish Farms.” Journal of Ambient Intelligence and Humanized Computing, January. https://doi.org/10.1007/s12652-020-02847-6.
  12. Zaky, Andrew, Mona M Saber, Reham M. Essam, and Ayman Atia. 2022. “IRats:intelligent System for Rat Behavior Analysis.” In 2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 219–24. https://doi.org/10.1109/MIUCC55081.2022.9781727.
Networking and digital Security
  1. Mohamed, Kareem, Amr Aziz, Belal Mohamed, Khaled Abdel-Hakeem, Mostafa Mostafa, and Ayman Atia. 2019. “Trackify: A Robust System for Preserving Money Transactions.” Procedia Computer Science 160: 118–25.
  2. Tarek, Omar, and Ayman Atia. 2022. “Forensic Handwritten Signature Identification Using Deep Learning.” In 2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 185–90. https://doi.org/10.1109/SETIT54465.2022.9875697.
  3. Mohamed, Kareem, Amr Aziz, Belal Mohamed, Khaled Abdel‐Hakeem, Mostafa Mostafa, and Ayman Atia. 2019. “Blockchain for tracking serial numbers in money exchanges.” Intelligent Systems in Accounting, Finance and Management 26 (4): 193–201. https://doi.org/10.1002/isaf.1462.
  4. Hamido, Mahmoud, Abdallah Mohialdin, and Ayman Atia. 2023. “The Use of Background Features, Template Synthesis and Deep Neural Networks in Document Forgery Detection.” In 2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 365–70. https://doi.org/10.1109/ICAIIC57133.2023.10067120.
  5. Elbarrany, Abdullah Magdy, Khaled Mosallam, and Ayman Atia. 2023. “BuckTracker: System for Multi Banknotes Tracking.” In 2023 Intelligent Methods, Systems, and Applications (IMSA), 406–11. https://doi.org/10.1109/IMSA58542.2023.10217421.
  6. Abdel-Wahab, M. S., A. M. Neil, and A.Atia. 2020. “A Comparative Study of Machine Learning and Deep Learning in Network Anomaly-Based Intrusion Detection Systems.” In 2020 15th International Conference on Computer Engineering and Systems (ICCES), 1–6. https://doi.org/10.1109/ICCES51560.2020.9334553.
  7. Abdulkader, Sarah N, Ayman Atia, and Mostafa-Sami M Mostafa. 2015a. “Authentication Systems: Principles and Threats.” Computer and Information Science 8 (3): 155.
  8. ———. 2015b. “Brain Computer Interfacing: Applications and Challenges.” Egyptian Informatics Journal 16 (2): 213–30.
  9. ———. 2015c. “Single Trial Authentication with Mental Password Writing.” In International Conference on Human Aspects of Information Security, Privacy, and Trust, 3–12. Springer, Cham.
  10. AHMED NADY, AMAL ELSAYED ABUTABL, AYMAN ATIA. 2018. “REAL-TIME ABNORMAL EVENT DETECTION IN CROWDED SCENES.” Journal of Theoretical and Applied Information Technology 96 (18): 6064–74.
Human Activity and Action recognition
  1. Zaher, Moamen, Ahmed Samir, Amr Ghoneim, Laila Abdelhamid, and Ayman Atia. 2023. “A Framework for Assessing Physical Rehabilitation Exercises.” In 2023 Intelligent Methods, Systems, and Applications (IMSA), 526–32. https://doi.org/10.1109/IMSA58542.2023.10217392.
  2. Mohialdin, Abdallah, Dema Saleh, Elshaymaa Taher, Kareem Sabry, Hany M. El-Said, and Ayman Atia. 2023. “DriveGuard: An Automated Interactive Alerting System to Track and Analyze Drivers’ Behaviors on Road.” In 2023 Intelligent Methods, Systems, and Applications (IMSA), 502–7. https://doi.org/10.1109/IMSA58542.2023.10217448.
  3. Noha ElMasry, Mariam ElAshram, Passant ElDorry, and Jiro Tanaka. 2018. “Amelio-Rater: Detection and Classification of Driving Abnormal Behaviours for Automated Ratings and Real-Time Monitoring.” In 13th IEEE International Conference on Computer Engineering and Systems, 609–16. IEEE.
  4. Magdy, Omar, and Ayman Atia. 2022a. “Human Activity Recognition in Car Workshop.” International Journal of Advanced Computer Science and Applications 13 (4). https://doi.org/10.14569/IJACSA.2022.0130495.
  5. ———. 2022b. “Human Activity Recognition in Maintenance Centers to Reduce Wasted Time.” In 2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 118–24. https://doi.org/10.1109/MIUCC55081.2022.9781695.
  6. Hamido, Mahmoud, Khaled Mosallam, Olfat Diab, Doaa Amin, and Ayman Atia. 2023. “A Framework for Human Activity Recognition Application for Therapeutic Purposes.” In 2023 Intelligent Methods, Systems, and Applications (IMSA), 130–35. https://doi.org/10.1109/IMSA58542.2023.10217417.
  7. Hamido, Mahmoud, Alyaa Abdelrahman, Omar Bloz, Hany M. El-Said, and Ayman Atia. 2023. “Monitoring Attention Through the Use of Computerized Trailmaking Tests with Varying Input Devices.” In 2023 Intelligent Methods, Systems, and Applications (IMSA), 508–13. https://doi.org/10.1109/IMSA58542.2023.10217590.
  8. Abozaid, Ahmed, and Ayman Atia. 2022. “Multi-Modal Online Exam Cheating Detection.” In 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), 1–6. https://doi.org/10.1109/ICECET55527.2022.9873527.
  9. Adeen, Hussam Saad, Ayman Atia, Ahmad Amin, Andrew Victor, Abdelrahman Essam, Ehab Gharib, and Mohamed Hussien. 2015. “RemoAct: Portable Projected Interface with Hand Gesture Interaction.” Journal of Computer Science 11 (5): 738.
  10. Ali, Aya Hamdy, Ayman Atia, and Mostafa-Sami M Mostafa. 2017. “Recognizing Driving Behavior and Road Anomaly Using Smartphone Sensors.” International Journal of Ambient Computing and Intelligence (IJACI) 8 (3): 22–37.
  11. Ali, Aya Hamdy, Ayman Atia, and Mostafa Sami. 2014. “A Comparative Study of User Dependent and Independent Accelerometer-Based Gesture Recognition Algorithms.” In International Conference on Distributed, Ambient, and Pervasive Interactions, 119–29. Springer, Cham.
  12. Ayman, Atia, and Shorim Nada. 2019. “Hand Gestures Classification with Multi-Core DTW.” The ISC International Journal of Information Security 11 (special issue): 91–96.
  13. Ayman, Atia, Shin Takahashi, and Jiro Tanaka. 2007. “Coin Size Wireless Sensor Interface for Interaction with Remote Displays.” In International Conference on Human-Computer Interaction, 733–42. Springer, Berlin, Heidelberg.
  14. Elmanakhly, Dina A., Ayman Atia, Essam A. Rashed, and Mostafa-Samy M. Mostafa. 2016. “Interactive Gestures for Liver Angiography Operation.” In Digital Human Modeling: Applications in Health, Safety, Ergonomics and Risk Management, edited by Vincent G. Duffy, 409–21. Cham: Springer International Publishing.
  15. Saleh, Dema, Youssef Ayman, and Ayman Atia. 2023. “Understanding of Gait Classification Using Template-Matching Techniques.” In 2023 Intelligent Methods, Systems, and Applications (IMSA), 43–48. https://doi.org/10.1109/IMSA58542.2023.10217438.
  16. Samir, Mohamed Amr, Youssef Maged, and Ayman Atia. 2021. “Exam Cheating Detection System with Multiple-Human Pose Estimation.” In 2021 IEEE International Conference on Computing (ICOCO), 236–40. https://doi.org/10.1109/ICOCO53166.2021.9673534.
  17. Samir, Mohamed Amr, Zeinab A. Mohamed, Mona Abdelmotaleb A. Hussein, and Ayman Atia. 2021. “Applying Deep Learning to Track Food Consumption and Human Activity for Non-Intrusive Blood Glucose Monitoring.” In 2021 IEEE 12th Annual Ubiquitous Computing, Electronics Mobile Communication Conference (UEMCON), 0319–24. https://doi.org/10.1109/UEMCON53757.2021.9666662.
  18. Slim, Salwa O., Ayman Atia, Marwa M. A. Elfattah, and Mostafa-Sami M.Mostafa. 2019. “Survey on Human Activity Recognition Based on Acceleration Data.” International Journal of Advanced Computer Science and Applications 10 (3).
  19. Slim, Salwa O, Ayman Atia, and Mostafa-Sami M Mostafa. 2016a. “An Experimental Comparison Between Seven Classification Algorithms for Activity Recognition.” In The 1st International Conference on Advanced Intelligent System and Informatics (AISI2015), November 28-30, 2015, Beni Suef, Egypt, 37–46. Springer, Cham.
  20. ———. 2016b. “DTWDIR: AN ENHANCED DTW ALGORITHM FOR AUTISTIC CHILD BEHAVIOUR MONITORING.” International Journal of UbiComp (IJU) 7 (2): 1–11.
  21. Slim, Salwa O., Marwa M. A. Elfattah, Ayman Atia, and Mostafa-Sami M. Mostafa. 2021. “IoT System Based on Parameter Optimization of Deep Learning Using Genetic Algorithm.” International Journal of Intelligent Engineering and Systems 14 (2): 220–35. https://doi.org/10.22266/ijies2021.0430.20.
Novel and Ubiquitous environment applications
  1. Fekry, Mohamed, Aya Hamdy, and Ayman Atia. 2013. “Anti-Bump: A Bump/Pothole Monitoring and Broadcasting System for Driver Awareness.” In International Conference on Human-Computer Interaction, 561–70. Springer, Berlin, Heidelberg.
  2. Emam, Ahmed Mohamed, Mohamed AbdelAzim Elgarh, Amany Fahmy, Amira Abdel Moniem, and Ayman Atia. 2023. “News Presenter Skills Evaluation Using Multi-Modality and Machine Learning.” In 2023 Intelligent Methods, Systems, and Applications (IMSA), 124–29. https://doi.org/10.1109/IMSA58542.2023.10217597.
  3. Atta, Omar, and Ayman Atia. 2023. “Framework for Crack Detection Using Deep Learning.” In 2023 Intelligent Methods, Systems, and Applications (IMSA), 181–86. https://doi.org/10.1109/IMSA58542.2023.10217751.
  4. Abuzaid, Abdallah, and Ayman Atia. 2022. “Exploring and Classifying Beef Retail Cuts Using Transfer Learning.” In 2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 461–67. https://doi.org/10.1109/SETIT54465.2022.9875732.
  5. Ahmed, Dina, Ayman Atia, Essam A Rashed, and Mostafa-Samy M Mostafa. 2015. “Laser Pointer Interaction for 3D Angiography Operation.” IOSR Journal of Computer Engineering 17 (5): 18–25.
  6. Atia, Ayman. 2010. “Interaction with Tilting Gestures in Ubiquitous Environments.” International Journal Of UbiComp 1 (3): 1–13.
  7. Atia, Ayman Mohamed Ezzat Abdelsalam. 2011. “Interaction with Gestures in Ubiquitous Environments.” PhD thesis, 筑波大学.
  8. Atia, Ayman, Shin Takahashi, Kazuo Misue, and Jiro Tanaka. 2009. “Ubigesture: Customizing and Profiling Hand Gestures in Ubiquitous Environment.” In International Conference on Human-Computer Interaction, 141–50. Springer, Berlin, Heidelberg.
  9. Atia, Ayman, Shin Takahashi, and Jiro Tanaka. 2010. “Smart Gesture Sticker: Smart Hand Gestures Profiles for Daily Objects Interaction.” In Computer and Information Science (ICIS), 2010 IEEE/ACIS 9th International Conference on, 482–87. Ieee.
  10. Atia, Ayman, and Jiro Tanaka. 2011. “Parameters Affecting Interaction with Gestures in Ubiquitous Environments.” Ubiquitous Computing and Communication Journal 6 (3): 938–48.
  11. Aty, Mohamed M Abdel, Ahmed R Fahmy, Omar M Elsayed, Ahmed H Mohamed, Hassan M Abd El-Azeem, Ahmed I Rihan, and Ayman Atia. 2014. “Prokiwii: A Projected Portable Interface for Enriching Object Scenarios with Kinect and Wii Remote.” International Journal of Computer Theory and Engineering 6 (2): 97.
  12. Ayman, Andrew, Shereen W. Arafat, Ahmed M. Hossam Eldin, and Ayman Atia. 2022. “Dental Implant Recognition and Classification with Convolutional Neural Network.” In 2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 477–82. https://doi.org/10.1109/MIUCC55081.2022.9781715.
  13. Ayman, Atia, Yu Suzuki, Seo Sewang, Jie Gao, Atsutomo Kobayashi, and Jiro Tanaka. 2007. “Smart Team Management System.” 筑波大学.
  14. Hany Mohamed, Ayman Atia, and Mostafa-Sami M. Mostafa. 2018. “Sentiment Analysis: Comparative Study Between GSVM and KNN.” American Journal of Applied Sciences 15 (6): 339–45.
  15. Hany Mohamed, Ayman Ezzat, and Mostafa Sami. 2015. “The Road to Emotion Mining in Social Network.” International Journal of Computer Applications 123 (18): 41–47.
  16. Maged, Ihab, Michael Louis, Mohamed Thabet, and Ayman Atia. 2014. “PolyPie: A Novel Interaction Techniques for Large Touch Surfaces with Extended Wall Displays.” In The Seventh International Conference on Advances in Computer-Human Interactions, 48–53.
  17. Maged, Youssef, and Ayman Atia. 2022. “The Prediction of Blood Glucose Level by Using the ECG Sensor of Smartwatches.” In 2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 406–11. https://doi.org/10.1109/MIUCC55081.2022.9781730.
  18. Matboli, Mohammed Ahmed, and Ayman Atia. 2022. “Fruit Diseases Identification and Classification Using Deep Learning Model.” In 2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 432–37. https://doi.org/10.1109/MIUCC55081.2022.9781688.
  19. Moataz, Amr, Ahmed Soliman, Ahmed M Ghanem, Mohammad al-Shatouri, Ayman Atia, and Essam A Rashed. 2015. “Three-Dimensional Angiography Using Mobile c-Arm with IMU Sensor Attached: Initial Study.” In Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2015 IEEE, 1–3. IEEE.
  20. Mohamed, Habiba, and Ayman Atia. 2022. “Exploring Brain Tumor Classification Using Deep Learning.” In 2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 483–88. https://doi.org/10.1109/MIUCC55081.2022.9781767.
  21. Mohamed, Hany, Ayman Atia, and Mostafa Sami. 2017. “Mood Miner: Sentiment Mining of Financial Market.” In ESOLEC 2017, 115–21.
  22. Raafat, Maryam A., Rania Abdel-Fattah El-Wakil, and Ayman Atia. 2021. “Comparative Study for Stylometric Analysis Techniques for Authorship Attribution.” In 2021 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 176–81. https://doi.org/10.1109/MIUCC52538.2021.9447600.
  23. Rashed, Essam A, Ahmed M Ghanem, Ahmad Amin, Ayman Atia, Mohammad al-Shatouri, and Hiroyuki Kudo. 2013. “Development of Interactive 3D Imaging System for Hepatic Angiography.” In Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE, 1–6. IEEE.
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