| 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 | 73 | 2013 |
| The performance of WiFi offload in LTE networks DH Hagos | 34 | 2012 |
| 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 | 19 | 2018 |
| 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 | 18 | 2018 |
| 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, 1-14, 2018 | 16 | 2018 |
| 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 | 16 | 2017 |
| The performance of network-controlled mobile data offloading from LTE to WiFi networks DH Hagos Telecommunication Systems 61 (4), 675-694, 2016 | 14 | 2016 |
| 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 | 12 | 2020 |
| Software-defined networking for scalable cloud-based services to improve system performance of hadoop-based big data applications DH Hagos Web Services: Concepts, Methodologies, Tools, and Applications, 1460-1484, 2019 | 12 | 2019 |
| 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 | 10 | 2021 |
| 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 | 10 | 2020 |
| 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 | 10 | 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 | 8 | 2019 |
| 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 | 8 | 2018 |
| 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, ... arXiv preprint arXiv:2208.03392, 2022 | 4 | 2022 |
| Artificial Intelligence and big data technologies for Copernicus data: The EXTREMEEARTH project M Koubarakis, DA Pantazi, G Stamoulis, V Vlassov, L Bruzzone, C Paris, ... JRC, 2021 | 4 | 2021 |
| 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 | 4 | 2019 |
| The ExtremeEarth Software Architecture for Copernicus Earth Observation Data DH Hagos, T Kakantousis, V Vlassov, S Sheikholeslami, T Wang, ... Proceedings of the 2021 Conference on Big Data from Space (BiDS'21), 181-185, 2021 | 3 | 2021 |
| NexTrend: Context-aware music-relay corridors using NFC tags S Idowu, DH Hagos, WB Tesfay, A Famurewa, J Rana, K Synnes 2013 Seventh International Conference on Innovative Mobile and Internet …, 2013 | 2 | 2013 |
| The performance of WiFi Offload in LTE Networks: Long term evolution DH Hagos LAP Lambert Academic Publishing, 2012 | 2 | 2012 |
Anis YazidiProfessor, AI Lab, Oslo Metropolitan UniversityVerified email at oslomet.no
