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| | Issue Date | Title | Author(s) |
| 1 | 2018 | Accurate traffic flow prediction in heterogeneous vehicular networks in an intelligent transport system using a supervised non-parametric classifier | Sankar, Sharmi; Daraghmi, Yousef-Awwad; Tiwari, Prayag; Rattagan, Ekarat; Mohanty, Manoranjan; Puthal, Deepak; Prasad, Mukesh; Hesham El-Sayed |
| 2 | 2023 | Advancing C-V2X for level 5 autonomous driving from the perspective of 3GPP standards | Khan, Muhammad Jalal; Khan, Manzoor Ahmed; Malik, Sumbal; Kulkarni, Parag; Alkaabi, Najla; Ullah, Obaid; Ahmed, Amir; Turaev, Sherzod; Hesham El-Sayed |
| 3 | 2023 | Analyzing factors influencing situation awareness in autonomous vehicles—a survey | Ignatious, Henry Alexander; Khan, Manzoor Ahmed; Mokhtar, Bassem Mahmoud; Hesham El-Sayed |
| 4 | 2021 | A CNN deep local and global ASD classification approach with continuous wavelet transform using task-based FMRI | Seada, Noha; Ghoniemy, Said ; Alghamdi, Norah Saleh; El-Baz, Ayman; Haweel, Reem |
| 5 | 2021 | Collaborative autonomous driving—A survey of solution approaches and future challenges | Malik, Sumbal; Khan, Manzoor Ahmed; Hesham El-Sayed |
| 6 | 2023 | Collaborative perception—the missing piece in realizing fully autonomous driving | Malik, Sumbal; Khan, Muhammad Jalal; Khan, Manzoor Ahmed; Hesham El-Sayed |
| 7 | 2023 | Dynamic repositioning of aerial base stations for enhanced user experience in 5G and beyond | Rahman, Shams Ur; Khan, Ajmal; Usman, Muhammad; Bilal, Muhammad; Cho, You-Ze; Hesham El-Sayed |
| 8 | 1-Apr-2021 | An eeg-based transfer learning method for cross-subject fatigue mental state prediction | Zeng, Hong; Li, Xiufeng; Borghini, Gianluca; Zhao, Yue; Aricò, Pietro; Di Flumeri, Gianluca; Sciaraffa, Nicolina; Zakaria, Wael ; Kong, Wanzeng; Babiloni, Fabio |
| 9 | 2019 | Exploiting mobile edge computing for enhancing vehicular applications in smart cities | Chaqfeh, Moumena; Hesham El-Sayed |
| 10 | 2022 | How do autonomous vehicles decide? | Malik, Sumbal; Khan, Manzoor Ahmed; Khan, Jalal; Ullah, Obaid; Hesham El-Sayed |
| 11 | 2023 | A hybrid stacked CNN and residual feedback GMDH-LSTM deep learning model for stroke prediction applied on mobile AI smart hospital platform | Elbagoury, Bassant M; Vladareanu, Luige; Vlădăreanu, Victor; Travediu, Ana-Maria; Roushdy M. ; Salem, Abdel Badeeh |
| 12 | 1-Dec-2024 | Kalman Filter-Based Fusion of LiDAR and Camera Data in Bird’s Eye View for Multi-Object Tracking in Autonomous Vehicles | Alfeqy, Loay; Hossam El DIn Hassan Abdelmunim ; Maged, Shady A.; Emad, Diaa; Mohamed, Diaa |
| 13 | 2021 | Proposed ANFIS based approach for fault tracking, detection, clearing and rearrangement for photovoltaic system | Bendary, Ahmed F; Ismail, Mohamed M; Mahmoud, Karar; Lehtonen, Matti; Darwish, Mohamed MF; Abdelaziz, Almoataz |
| 14 | 2023 | Unlocking mutual gains—An experimental study on collaborative autonomous driving in urban environment | Malik, Sumbal; Khan, Manzoor Ahmed; Khan, Muhammad Jalal; Hesham El-Sayed |
| 15 | 1-Mar-2021 | Utilising flow aggregation to classify benign imitating attacks | Atkinson, Robert; Tachtatzis, Christos; Bayne, Ethan; Bures, Miroslav; Bellekens, Xavier; Hanan Hindy |
| 16 | 2024 | A vehicle-edge-cloud framework for computational analysis of a fine-tuned deep learning model | Khan, M Jalal; Khan, Manzoor Ahmed; Turaev, Sherzod; Malik, Sumbal; Ullah, Farman; Hesham El-Sayed |
