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Desta Haileselassie Hagos
Desta Haileselassie Hagos
Postdoctoral Research Fellow at Howard University
Verified email at howard.edu
Title
Cited by
Cited by
Year
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
1072023
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
352012
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
292018
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
262020
Recent advances in artificial intelligence and tactical autonomy: Current status, challenges, and perspectives
DH Hagos, DB Rawat
Sensors 22 (24), 9916, 2022
242022
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
232017
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
222018
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
172021
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
172018
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
162019
The performance of network-controlled mobile data offloading from LTE to WiFi networks
DH Hagos
Telecommunication Systems 61 (4), 675-694, 2016
152016
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
122016
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
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
92023
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
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
72021
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
62024
A scalable asynchronous federated learning for privacy-preserving real-time surveillance systems
DH Hagos, E Tankard, DB Rawat
IEEE INFOCOM 2023-IEEE Conference on Computer Communications Workshops …, 2023
52023
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