Mostafa Karimzadeh
Mostafa Karimzadeh
PhD Student
Dirección de correo verificada de inf.unibe.ch
Título
Citado por
Citado por
Año
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
602018
Mobile crowd location prediction with hybrid features using ensemble learning
Z Zhao, M Karimzadeh, F Gerber, T Braun
Future Generation Computer Systems, 2018
72018
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
62018
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
52018
Pedestrians trajectory prediction in urban environments
M Karimzadeh, F Gerber, Z Zhao, T Braun
2019 International Conference on Networked Systems (NetSys), 1-8, 2019
22019
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
12021
Intelligent Safety Message Dissemination with Vehicle Trajectory Density Predictions in VANETs
M Karimzadeh Motallebiazar, A Mariano de Souza, Z Zhao, T Braun, ...
IEEE, 2020
12020
Improving Video Delivery with Fourier Analysis of Traffic in Multi-Access Edge Computing
E Schiller, R Röthlisberger, T Braun, M Karimzadeh
International Conference on Wired/Wireless Internet Communication, 209-221, 2019
12019
Next Place Prediction With Hybrid Features Using Ensemble Learning
Z Zhao, M Karimzadeh, T Braun
12017
RL-CNN: Reinforcement Learning-designed Convolutional Neural Network for Urban Traffic Flow Estimation
M Karimzadeh Motallebiazar, A Esposito, Z Zhao, T Braun, S Sargento
IEEE, 2021
2021
MTL-LSTM: Multi-Task Learning-based LSTM for Urban Traffic Flow Forecasting
M Karimzadeh Motallebiazar, SM Schwegler, Z Zhao, T Braun, ...
IEEE, 2021
2021
Reinforced-LSTM Trajectory Prediction-driven Dynamic Service Migration: A Case Study
Z Zhao, N Emami, HL Melo dos Santos, L de Sousa Pacheco, ...
Transactions on Network Science and Engineering, 2020
2020
Prediction Models to Enhance Location Based Services in Urban Areas
M Karimzadeh Motallebiazar, T Braun
Institute for computer science, 2020
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
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
2020
Reinforcement Learning-designed LSTM for Trajectory and Traffic Flow Prediction
M Karimzadeh Motallebiazar, R Aebi, A Mariano de Souza, Z Zhao, ...
2020
Pedestrians Trajectory Prediction in Urban Environments
M Karimzadeh Motallebiazar, F Gerber, Z Zhao, T Braun
2019
Mobile Users Location Prediction with Complex Behavior Understanding
M Karimzadeh Motallebiazar, Z Zhao, F Gerber, T Braun
2018
Pedestrians Complex Behavior Understanding and Prediction with Hybrid Markov Chain
M Karimzadeh Motallebiazar, Z Zhao, F Gerber, T Braun
2018
Predicting future locations of mobile users using hybrid features
D Kohler, T Braun, Z Zhao, M Karimzadeh
2018
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Artículos 1–20