| Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions A Rauniyar, DH Hagos, D Jha, JE Håkegård, U Bagci, DB Rawat, ... IEEE Internet of Things Journal, 2023 | 97 | 2023 |
| Study on performance-centric offload strategies for LTE networks DH Hagos, R Kapitza 6th Joint IFIP Wireless and Mobile Networking Conference (WMNC), 1-10, 2013 | 76 | 2013 |
| The performance of WiFi offload in LTE networks DH Hagos | 35 | 2012 |
| General TCP state inference model from passive measurements using machine learning techniques DH Hagos, PE Engelstad, A Yazidi, Ø Kure IEEE Access 6, 28372-28387, 2018 | 29 | 2018 |
| A machine-learning-based tool for passive os fingerprinting with tcp variant as a novel feature DH Hagos, A Yazidi, Ø Kure, PE Engelstad IEEE Internet of Things Journal 8 (5), 3534-3553, 2020 | 25 | 2020 |
| Recent advances in artificial intelligence and tactical autonomy: Current status, challenges, and perspectives DH Hagos, DB Rawat Sensors 22 (24), 9916, 2022 | 23 | 2022 |
| Enhancing security attacks analysis using regularized machine learning techniques DH Hagos, A Yazidi, Ø Kure, PE Engelstad 2017 IEEE 31st International Conference on Advanced Information Networking …, 2017 | 23 | 2017 |
| A machine learning approach to TCP state monitoring from passive measurements DH Hagos, PE Engelstad, A Yazidi, Ø Kure 2018 Wireless Days (WD), 164-171, 2018 | 22 | 2018 |
| ExtremeEarth meets satellite data from space DH Hagos, T Kakantousis, V Vlassov, S Sheikholeslami, T Wang, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 17 | 2021 |
| A Crowd‐Based Intelligence Approach for Measurable Security, Privacy, and Dependability in Internet of Automated Vehicles with Vehicular Fog A Rauniyar, DH Hagos, M Shrestha Mobile Information Systems 2018 (1), 7905960, 2018 | 17 | 2018 |
| A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP DH Hagos, PE Engelstad, A Yazidi, C Griwodz 2019 IEEE 38th International Performance Computing and Communications …, 2019 | 16 | 2019 |
| The performance of network-controlled mobile data offloading from LTE to WiFi networks DH Hagos Telecommunication Systems 61 (4), 675-694, 2016 | 15 | 2016 |
| Software-defined networking for scalable cloud-based services to improve system performance of hadoop-based big data applications DH Hagos International Journal of Grid and High Performance Computing (IJGHPC) 8 (2 …, 2016 | 12 | 2016 |
| Recurrent neural network-based prediction of tcp transmission states from passive measurements DH Hagos, PE Engelstad, A Yazidi, Ø Kure 2018 IEEE 17th International Symposium on Network Computing and Applications …, 2018 | 11 | 2018 |
| Ensuring trustworthy medical artificial intelligence through ethical and philosophical principles D Jha, A Rauniyar, A Srivastava, DH Hagos, NK Tomar, V Sharma, ... arXiv preprint arXiv:2304.11530, 2023 | 9 | 2023 |
| Advanced passive operating system fingerprinting using machine learning and deep learning DH Hagos, M Løland, A Yazidi, Ø Kure, PE Engelstad 2020 29th International Conference on Computer Communications and Networks …, 2020 | 9 | 2020 |
| Towards a robust and scalable TCP flavors prediction model from passive traffic DH Hagos, PE Engelstad, A Yazidi, O Kure 2018 27th International Conference on Computer Communication and Networks …, 2018 | 9 | 2018 |
| Artificial Intelligence and big data technologies for Copernicus data: The EXTREMEEARTH project M Koubarakis, G Stamoulis, D Bilidas, T Ioannidis, G George Mandilaras, ... EUR, 2021 | 7 | 2021 |
| Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives DH Hagos, R Battle, DB Rawat IEEE Transactions on Artificial Intelligence, 1-21, 2024 | 6 | 2024 |
| Classification of delay-based TCP algorithms from passive traffic measurements DH Hagos, PE Engelstad, A Yazidi 2019 IEEE 18th International Symposium on Network Computing and Applications …, 2019 | 5 | 2019 |
