Mostafa Karimzadeh
Mostafa Karimzadeh
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Cited by
Mobility prediction-assisted over-the-top edge prefetching for hierarchical VANETs
Z Zhao, L Guardalben, M Karimzadeh, J Silva, T Braun, S Sargento
IEEE Journal on Selected Areas in Communications 36 (8), 1786-1801, 2018
Reinforcement learning-designed LSTM for trajectory and traffic flow prediction
M Karimzadeh, R Aebi, AM de Souza, Z Zhao, T Braun, S Sargento, ...
2021 IEEE wireless communications and networking conference (WCNC), 1-6, 2021
Mobile crowd location prediction with hybrid features using ensemble learning
Z Zhao, M Karimzadeh, F Gerber, T Braun
Future Generation Computer Systems 110, 556-571, 2020
Mobility management with transferable reinforcement learning trajectory prediction
Z Zhao, M Karimzadeh, L Pacheco, H Santos, D Rosário, T Braun, ...
IEEE Transactions on Network and Service Management 17 (4), 2102-2116, 2020
Mobile users location prediction with complex behavior understanding
M Karimzadeh, Z Zhao, F Gerber, T Braun
2018 IEEE 43rd Conference on Local Computer Networks (LCN), 323-326, 2018
MTL-LSTM: Multi-task learning-based LSTM for urban traffic flow forecasting
M Karimzadeh, SM Schwegler, Z Zhao, T Braun, S Sargento
2021 International Wireless Communications and Mobile Computing (IWCMC), 564-569, 2021
Pedestrians complex behavior understanding and prediction with hybrid markov chain
M Karimzadeh, Z Zhao, F Gerber, T Braun
2018 14th International Conference on Wireless and Mobile Computing …, 2018
Reinforced-lstm trajectory prediction-driven dynamic service migration: A case study
Z Zhao, N Emami, H Santos, L Pacheco, M Karimzadeh, T Braun, A Braud, ...
IEEE Transactions on Network Science and Engineering 9 (4), 2786-2802, 2022
Effective safety message dissemination with vehicle trajectory predictions in V2X networks
H Li, F Liu, Z Zhao, M Karimzadeh
Sensors 22 (7), 2686, 2022
Pedestrians trajectory prediction in urban environments
M Karimzadeh, F Gerber, Z Zhao, T Braun
2019 International Conference on Networked Systems (NetSys), 1-8, 2019
RL-CNN: Reinforcement learning-designed convolutional neural network for urban traffic flow estimation
M Karimzadeh, A Esposito, Z Zhao, T Braun, S Sargento
2021 International Wireless Communications and Mobile Computing (IWCMC), 29-34, 2021
Improving video delivery with fourier analysis of traffic in multi-access edge computing
E Schiller, R Röthlisberger, T Braun, M Karimzadeh
Wired/Wireless Internet Communications: 17th IFIP WG 6.2 International …, 2019
Predicting future locations of mobile users using hybrid features
D Kohler, T Braun, Z Zhao, M Karimzadeh
University of Bern, Switzerland, 2018
Next Place Prediction With Hybrid Features Using Ensemble Learning
Z Zhao, M Karimzadeh, T Braun
Prediction Models to Enhance Location Based Services in Urban Areas
M Karimzadeh Motallebiazar, T Braun
Institute for computer science, 2020
5G UDN Proactive Handover with Transferable Reinforcement Learning-based Trajectory Prediction
Z Zhao, M Karimzadeh Motallebiazar, L Pacheco, HL Melo dos Santos, ...
IEEE journal on selected areas in communications, 2020
Intelligent Safety Message Dissemination with Vehicle Trajectory Density Predictions in VANETs
M Karimzadeh Motallebiazar, A Mariano de Souza, Z Zhao, T Braun, ...
IEEE, 2020
Pedestrians Trajectory Prediction in Urban Environments
M Karimzadeh Motallebiazar, F Gerber, Z Zhao, T Braun
Mobile Users Location Prediction with Complex Behavior Understanding
M Karimzadeh Motallebiazar, Z Zhao, F Gerber, T Braun
Pedestrians Complex Behavior Understanding and Prediction with Hybrid Markov Chain
M Karimzadeh Motallebiazar, Z Zhao, F Gerber, T Braun
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