Faruk Pasic

Orcid: 0000-0002-9462-672X

According to our database1, Faruk Pasic authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Channel Estimation for mmWave MIMO Using Sub-6 GHz Out-of-Band Information.
Proceedings of the International Conference on Smart Applications, 2024

A Novel Low-Cost Channel Sounder for Double-Directionally Resolved Measurements in the MmWave band.
Proceedings of the IEEE International Conference on Communications, 2024

2023
Multi-Band Measurements for Deep Learning-Based Dynamic Channel Prediction and Simulation.
IEEE Commun. Mag., 2023

Statistical Evaluation of Delay and Doppler Spreads in sub-6 GHz and mmWave Vehicular Channels.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Quantifying the Reproducibility of Multi-Band High Speed Wireless Channel Measurements.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

2022
Multi-band Wireless Channel Measurements in High-mobility Environment.
Dataset, October, 2022

Domain-specific Language for Condition Monitoring Software Development.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

Pilot-Aided Channel Estimation Scheme for NR- V2X Speed Emulation Technique.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Sub 6 GHz versus mmWave Measurements in a Controlled High-Mobility Environment.
Proceedings of the 25th International ITG Workshop on Smart Antennas, 2021

2020
Specification of Software Requirements for Condition Monitoring of Automation Systems.
Proceedings of the 10th IEEE International Model-Driven Requirements Engineering, 2020

2019
A KPI-based Condition Monitoring System for the Beer Brewing Process.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

Towards a KPI-based Ontology for Condition Monitoring of Automation Systems.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

2018
Model-driven development of condition monitoring software.
Proceedings of the 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2018


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