Follow
Desta Haileselassie Hagos
Desta Haileselassie Hagos
Postdoctoral Research Fellow at Howard University
Verified email at howard.edu
Title
Cited by
Cited by
Year
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
762013
The performance of WiFi offload in LTE networks
DH Hagos
342012
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
292023
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
232018
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
212018
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
202017
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
182020
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
162018
The performance of network-controlled mobile data offloading from LTE to WiFi networks
DH Hagos
Telecommunication Systems 61 (4), 675-694, 2016
152016
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
142021
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
142019
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
122019
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
112018
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
102020
Recent advances in artificial intelligence and tactical autonomy: Current status, challenges, and perspectives
DH Hagos, DB Rawat
Sensors 22 (24), 9916, 2022
92022
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
92018
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
52019
Ensuring Trustworthy Medical Artificial Intelligencethrough Ethical and Philosophical Principles
D Jha, A Rauniyar, A Srivastava, DH Hagos, NK Tomar, V Sharma, ...
arXiv preprint arXiv:2304.11530, 2023
42023
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
42021
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
32021
The system can't perform the operation now. Try again later.
Articles 1–20