Research Associate
Raazia Tariq is a Research Associate at the Deutsche Telekom Chair of Communication Networks, at the Faculty of Electrical and Computer Engineering, at Technische Universität Dresden. She received her Master’s Degree from Università degli studi di padova, Italy in Computer Engineering with Artificial Intelligence and Robotics major. Her Master Thesis was titled “Counting objects in an industrial environments using YOLOv5 and YOLOv7”. Then after, she joined the chair as Research Associate.
Email: raazia.tariq@tu-dresden.de
Dakore
Tariq, Raazia; Gammoudi, Mégane; Khan, Omer Hanif; Dürrwald, Franz Alwin; Cabrera, Juan A.; Fitzek, Frank H. P.
Using Reinforcement Learning for Optimizing Energy Consumed by Base Stations Proceedings Article
In: IEEE International Conference on Communications, Information, Electronic and Energy Systems (CIEES), Veliko Tarnovo, Bulgaria, 2024.
BibTeX
@inproceedings{Tariq2411:OptimizingEnergyb, title = {Using Reinforcement Learning for Optimizing Energy Consumed by Base Stations}, author = {Raazia {Tariq} and M\'{e}gane {Gammoudi} and Omer Hanif {Khan} and Franz Alwin {D\"{u}rrwald} and Juan A. {Cabrera} and Frank H. P. {Fitzek}}, year = {2024}, date = {2024-11-22}, urldate = {2024-11-22}, booktitle = {IEEE International Conference on Communications, Information, Electronic and Energy Systems (CIEES)}, address = {Veliko Tarnovo, Bulgaria}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
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