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Journal Articles
- 2024
[j2]Alireza Shamsoshoara
, Fatemeh Lotfi, Sajad Mousavi, Fatemeh Afghah, Ismail Güvenç:
Joint path planning and power allocation of a cellular-connected UAV using apprenticeship learning via deep inverse reinforcement learning. Comput. Networks 254: 110789 (2024)- 2021
- [j1]Sheng Yan, Fatemeh Lotfi, Shijin Chen, Chengpeng Hao, Danilo Orlando:
Innovative Two-Stage Radar Detection Architectures in Adverse Scenarios Using Two Training Data Sets. IEEE Signal Process. Lett. 28: 1165-1169 (2021)
Conference and Workshop Papers
- 2023
- [c8]Fatemeh Lotfi, Fatemeh Afghah:
Open RAN LSTM Traffic Prediction and Slice Management Using Deep Reinforcement Learning. ACSSC 2023: 646-650 - [c7]Srivardhan Sivadevuni, Fatemeh Lotfi, Bilal Ahmad, Kevin Weinberger, Aydin Sezgin:
Preparing for the Inevitable: Preventing Outages Using Resilient RIS-Assisted JCAS. CAMSAP 2023: 241-245 - [c6]Hossein Rajoli, Fatemeh Lotfi, Adham Atyabi, Fatemeh Afghah:
Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios. CISS 2023: 1-6 - [c5]Fatemeh Lotfi, Fatemeh Afghah, Jonathan D. Ashdown:
Attention-Based Open RAN Slice Management Using Deep Reinforcement Learning. GLOBECOM 2023: 6328-6333 - [c4]Fatemeh Lotfi, Kevin Weinberger, Stefan Roth, Aydin Sezgin:
Under Whose Umbrella: The Collaborative Benefits of RS and RIS in Covert Communications. SPAWC 2023: 241-245 - 2022
- [c3]Fatemeh Lotfi, Omid Semiari, Fatemeh Afghah:
Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN. GLOBECOM (Workshops) 2022: 227-232 - [c2]Fatemeh Lotfi, Omid Semiari, Walid Saad:
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks. ICC 2022: 5256-5261 - 2021
- [c1]Fatemeh Lotfi, Omid Semiari:
Performance Analysis and Optimization of Uplink Cellular Networks with Flexible Frame Structure. VTC Spring 2021: 1-5
Informal and Other Publications
- 2024
- [i7]Fatemeh Lotfi, Fatemeh Afghah:
Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning. CoRR abs/2401.06922 (2024) - 2023
- [i6]Hossein Rajoli, Fatemeh Lotfi, Adham Atyabi, Fatemeh Afghah:
Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios. CoRR abs/2302.04108 (2023) - [i5]Fatemeh Lotfi, Fatemeh Afghah, Jonathan D. Ashdown:
Attention-based Open RAN Slice Management using Deep Reinforcement Learning. CoRR abs/2306.09490 (2023) - [i4]Alireza Shamsoshoara, Fatemeh Lotfi, Sajad Mousavi, Fatemeh Afghah, Ismail Güvenç:
Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning. CoRR abs/2306.10071 (2023) - 2022
- [i3]Fatemeh Lotfi, Omid Semiari, Fatemeh Afghah:
Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN. CoRR abs/2208.14394 (2022) - 2021
- [i2]Fatemeh Lotfi, Omid Semiari:
Performance Analysis and Optimization of Uplink Cellular Networks with Flexible Frame Structure. CoRR abs/2103.03342 (2021) - [i1]Fatemeh Lotfi, Omid Semiari, Walid Saad:
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks. CoRR abs/2111.12064 (2021)
Coauthor Index
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last updated on 2024-10-04 20:01 CEST by the dblp team
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