Academic Publications related to the Graduation Projects in the Academic Year 2019/2020.
CASCADED ARCHITECTURE FOR CLASSIFICATION OF PRELIMINARY DIABETIC RETINOPATHY STAGES
Omar Khaled, Mahmoud Hazem, Mohamed Alaa El-Dine, Youssef Talaat, Yomna M.I.Hassan, Alaa Hamdy, Cascaded Architecture for Classification of Preliminary Diabetic Retinopathy Stages, Accepted at ICSIE 2020.
DESIGN AND IMPLEMENTATION OF SELF-DRIVING CAR
Fathy, Mahmoud, Nada Ashraf, Omar Ismail, Sarah Fouad, Lobna Shaheen, and Alaa Hamdy. “Design and implementation of self-driving car.” Procedia Computer Science 175 (2020): 165-172.
IN-DOOR ASSISTANT MOBILE APPLICATION USING CNN AND TENSORFLOW
Nouran Khaled, Shehab Mohsen, Kareem Emad El-Din, Sherif Akram, Haytham Metawie,Ammar Mohamed, In-Door Assistant Mobile Application Using CNN and TensorFlow, Accepted at ICECCE.
DETECTING EDUCATION LEVEL USING FACIAL EXPRESSIONS IN E-LEARNING SYSTEMS
HabebaElRahman Hesham, Mourad Nabawy, Ola Safwat, Youssef Khalifa, Haytham Metawie, Ammar Mohammed,Detecting Education level using Facial Expressions in E-learning Systems, Accepted at ICECCE.
GREENHOUSE PLANT GROWTH SUPERVISION WITH THE LED LIGHTS USING MACHINE LEARNING
Randa Osama, Nour El-Huda Ashraf, Amina Yasser, Salma AbdelFatah, Noha El Masry, Ashraf AbdelRaouf,Greenhouse Plant Growth Supervision with the LED Lights using Machine Learning, Accepted at ICSIE.
DETECTING PLANT DISEASES IN GREENHOUSE USING DEEP LEARNING
Osama, Randa, Nour El-Huda Ashraf, Amina Yasser, Salma AbdelFatah, Noha El Masry, and Ashraf AbdelRaouf. “Detecting plant’s diseases in Greenhouse using Deep Learning.” In 2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES), pp. 75-80. IEEE, 2020.
ONLINE DETECTION AND CLASSIFICATION OF IN-CORRECTED PLAYED STROKES IN TABLE TENNIS USING IR DEPTH CAMERA
Hegazy, Habiba, Mohamed Abdelsalam, Moustafa Hussien, Seif Elmosalamy, Yomna MI Hassan, Ayman M. Nabil, and Ayman Atia. “Online detection and classification of in-corrected played strokes in table tennis using IR depth camera.” Procedia Computer Science 170 (2020): 555-562.
IPINGPONG: A REAL-TIME PERFORMANCE ANALYZER SYSTEM FOR TABLE TENNIS STROKE’S MOVEMENTS
Hegazy, Habiba, Mohamed Abdelsalam, Moustafa Hussien, Seif Elmosalamy, Yomna MI Hassan, Ayman M. Nabil, and Ayman Atia. “IPingPong: A Real-time Performance Analyzer System for Table Tennis Stroke’s Movements.” Procedia Computer Science 175 (2020): 80-87.
USABILITY STUDY OF A COMPREHENSIVE TABLE TENNIS AR-BASED TRAINING SYSTEM WITH THE FOCUS ON PLAYERS’ STROKES
Nabil, Ayman, Habiba Hegazy, Mohamed Abdelsalam, Moustafa Hussien, Seif Elmosalamy, Y. M. Hassan, and Ayman Atia. “Usability Study of a comprehensive table tennis AR-based training system with the focus on players’ strokes.” Journal of Ubiquitous Systems & Pervasive Networks 13, no. 1 (2020): 01-09.
MSR-YOLO: METHOD TO ENHANCE FISH DETECTION AND TRACKING IN FISH FARMS
Mohamed, Hussam El-Din, Ali Fadl, Omar Anas, Youssef Wageeh, Noha ElMasry, Ayman Nabil, and Ayman Atia. “MSR-YOLO: Method to Enhance Fish Detection and Tracking in Fish Farms.” Procedia Computer Science 170 (2020): 539-546.
DETECTING ABNORMAL FISH BEHAVIOR USING MOTION TRAJECTORIES IN UBIQUITOUS ENVIRONMENTS.
Anas, Omar, Youssef Wageeh, Hussam El-Din Mohamed, Ali Fadl, Noha ElMasry, Ayman Nabil, and Ayman Atia. “Detecting Abnormal Fish Behavior Using Motion Trajectories In Ubiquitous Environments.” Procedia Computer Science 175 (2020): 141-148.
IKARATE: IMPROVING KARATE KATA.
EMAD, BASSEL, OMAR ATEF, YEHYA SHAMS, AHMED EL-KERDANY, NADA SHORIM, AYMAN NABIL, AND AYMAN ATIA. “IKARATE: IMPROVING KARATE KATA.” PROCEDIA COMPUTER SCIENCE 170 (2020): 466-473.
iKarate: Karate Kata Guidance System
Emad, Bassel, Omar Atef, Yehya Shams, Ahmed El-Kerdany, Nada Shorim, Ayman Nabil, and Ayman Atia. “iKarate: Karate Kata Guidance System.” Procedia Computer Science 175 (2020): 149-156.
iKarate: Karate Kata Aiding System
Bassel Emad, Omar Atef, Yehya Shams, Ahmed El-Kerdany, Nada Shorim, Ayman Nabil and Ayman Atia,iKarate: Karate Kata Aiding System, JUSPN 2020
Egyptian Universities Digital Certificate Verification Model Using Blockchain
El-Dorry, Alley, Mohamed Reda, Sherif Abd El Khalek, Shehab El-Din Mohamed, Radwa Mohamed, and Ayman Nabil. “Egyptian Universities Digital Certificate Verification Model Using Blockchain.” In Proceedings of the 2020 9th International Conference on Software and Information Engineering (ICSIE), pp. 79-83. 2020.
A new challenge on video recommendation by content
Mohamed, Aly, Amr Sherif, Foad Osama, Youssef Roshdy, Mennat Allah Hassan, and Walaa H. El Ashmawi. “A new challenge on video recommendation by content.” In 2019 14th International Conference on Computer Engineering and Systems (ICCES), pp. 336-341. IEEE, 2019.
News Aggregator and Efficient Summarization System
Mohamed, Alaa, Marwan Ibrahim, Mayar Yasser, Mohamed Ayman, Menna Gamil, and Walaa Hassan. “News Aggregator and Efficient Summarization System.” methods 11, no. 6 (2020).
Workout Assistant Using Kinect Camera to Prevent Dumbbell Related Injuries
Salama, Dr-Diaa & Elminaam, Abd & Sobeah, Hager & Morabea, Ahmed & El-Rahman, Abd & Khashaba, Tarek & Nagy, Ahmed & Latif, Abe & Moheb, Poula. (2020). Workout Assistant Using Kinect Camera to Prevent Dumbbell Related Injuries.
A Survey on Detection of Red Palm Weevil Inside Palm Trees: Challenges and Applications
Hazem Alaa Eldin, Khaled Waleed, Moataz Samir, Mohamed Tarek, Hager Sobeah, and Mustafa Abdul Salam. 2020. A Survey on Detection of Red Palm Weevil Inside Palm Trees: Challenges and Applications. In Proceedings of the 2020 9th International Conference on Software and Information Engineering (ICSIE) (ICSIE 2020). Association for Computing Machinery, New York, NY, USA, 119–125. DOI:https://doi.org/10.1145/3436829.3436861
An Intelligent Approach for Detecting Palm Trees Diseases using Image Processing and Machine Learning
Alaa, Hazem & Waleed, Khaled & Samir, Moataz & Tarek, Mohamed & Sobeah, Hager & Abdul Salam, Mustafa. (2020). An Intelligent Approach for Detecting Palm Trees Diseases using Image Processing and Machine Learning. International Journal of Advanced Computer Science and Applications. 11. 2020. 10.14569/IJACSA.2020.0110757.
GQM-based Tree Model for Automatic Recommendation of Design Pattern Category
Clara K. Youssef, Farida M. Ahmed, Hashem M. Hashem, Veronia E. Talaat, Nada Shorim, and Taraggy Ghanim. 2020. GQM-based Tree Model for Automatic Recommendation of Design Pattern Category. In Proceedings of the 2020 9th International Conference on Software and Information Engineering (ICSIE) (ICSIE 2020). Association for Computing Machinery, New York, NY, USA, 126–130. DOI:https://doi.org/10.1145/3436829.3436862
Fake News Detector using Machine Learning Algorithms
Diaa Salama, Yomna M.I. Hassan, Radwa Mostafa, Abdelrahman Tolba, Mariam Khaled, and John Gerges,Fake News Detector using Machine Learning Algorithms,IBIMA 2020.
Automatic Recognition of Fish Diseases in Fish Farms
Waleed, Ahmed, Hadeer Medhat, Mariam Esmail, Kareem Osama, Radwa Samy, and Taraggy M. Ghanim. “Automatic Recognition of Fish Diseases in Fish Farms.” In 2019 14th International Conference on Computer Engineering and Systems (ICCES), pp. 201-206. IEEE, 2019.