Research Output per year
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output
Effect of filter shape on excess noise performance in continuous variable quantum key distribution with Gaussian modulation
Chin, H-M., Jain, N., Zibar, D., Gehring, T. & Andersen, U. L., 2020, (Submitted) In : arXiv.Research output: Contribution to journal › Journal article › Research › peer-review
File
Model-aided deep learning method for path loss prediction in mobile communication systems at 2.6 GHz
Thrane, J., Zibar, D. & Christiansen, H. L., 2020, (Accepted/In press) In : IEEE Access. 8, 12 p., 8950164.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
Tunable Optoelectronic Chromatic Dispersion Compensation Based on Machine Learning for Short-Reach Transmission.
Magalhaes Ranzini, S., Da Ros, F., Bülow, H. & Zibar, D., 2020, In : Applied Sciences. 9, 20, 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
An Overview on Application of Machine Learning Techniques in Optical Networks
Musumeci, F., Rottondi, C., Nag, A., Macaluso, I., Zibar, D., Ruffini, M. & Tornatore, M., 2019, In : IEEE Communications Surveys and Tutorials. 21, 2, p. 1383 - 1408Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
Comparison of empirical and ray-tracing models for mobile communication systems at 2.6 GHz
Thrane, J., Zibar, D. & Christiansen, H. L., 2019, Proceedings of 90th IEEE Vehicular Technology Conference. IEEE, 5 p. 8891306Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open Access
File
Projects
End-to-end learning for the nonlinear fiber channel
Jovanovic, O., Zibar, D., Da Ros, F. & Yankov, M. P.
01/10/2019 → 30/09/2022
Project: PhD
Performance prediction of optical systems using machine learning
Monteiro Sá Pinto, T., Zibar, D. & Moura, U. C. D.
01/09/2019 → 31/08/2022
Project: PhD
Machine learning based optical performance monitoring
Magalhaes Ranzini, S., Zibar, D., Da Ros, F. & Bülow, H.
Marie Skłodowska-Curie actions
01/09/2018 → 31/08/2021
Project: PhD
Machine learning techniques applied to optical sensing
Djurhuus, M. S. E., Zibar, D., Clausen, A. & Schmauss, B.
01/12/2017 → 30/11/2020
Project: PhD
Optimisation of future mobile communication systems using Deep Learning
Thrane, J., Christiansen, H. L. & Zibar, D.
Technical University of Denmark
01/04/2017 → 01/05/2020
Project: PhD
Activities
- 1 Conference presentations
Digital Coherent Detection of Multi-Gigabit 16-QAM signals at 40 GHz Carrier Frequency using Photonic Downconversion
Darko Zibar (Speaker)1 Jan 2009
Activity: Talks and presentations › Conference presentations