Aroosa Hameed

Orcid: 0009-0009-1332-7778

According to our database1, Aroosa Hameed authored at least 21 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
An End-to-End Smart Radio Log Anomaly Detection Architecture for 5G/6G Networks.
IEEE Commun. Mag., March, 2026

2025
Sequencing to Mitigate Catastrophic Forgetting in Continual Learning.
CoRR, December, 2025

RefactorCoderQA: Benchmarking LLMs for Multi-Domain Coding Question Solutions in Cloud and Edge Deployment.
CoRR, September, 2025

Block-FeST: Blockchain-Enhanced Federated Sparse Transformers for Privacy-Preserving RES Forecasting in Internet of Vehicles Systems.
IEEE Internet Things J., July, 2025

FeD-TST: Federated Temporal Sparse Transformers for QoS Prediction in Dynamic IoT Networks.
IEEE Trans. Netw. Serv. Manag., April, 2025

Block-FeDL: Electric Vehicle Charging Load Forecasting Using Federated Learning and Blockchain.
IEEE Trans. Veh. Technol., February, 2025

Transformer-Based Link Failure Detection in 5G Cellular Networks.
Proceedings of the IEEE International Conference on Communications, 2025

Inception-LSTM: A Two Stage Approach for Indoor Position Estimation Using Channel Impulse Response Measurements.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

Aligning Pre-Trained LLMs for Enhanced UAV Power Consumption Forecasting.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

Adaptive Federated Learning with Lyapunov Optimization for Robust Radio Link Failure Detection in 5G Networks.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024
Blockchain-as-a-Service: Architecture, Opportunities and Challenges.
IEEE Internet Things Mag., November, 2024

A light-weight edge-enabled knowledge distillation technique for next location prediction of multitude transportation means.
Future Gener. Comput. Syst., 2024

Deep Learning-Based Anomaly Detection in 5G Cellular Networks.
Proceedings of the 15th International Conference on Information, 2024

2022
Toward QoS Prediction Based on Temporal Transformers for IoT Applications.
IEEE Trans. Netw. Serv. Manag., December, 2022

A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario.
IEEE Access, 2022

An Unsupervised Machine Learning Approach for IoT Device Categorization.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2022

2021
Automated and Reproducible Application Traces Generation for IoT Applications.
Proceedings of the Q2SWinet 2021: Proceedings of the 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks, 2021

An Innovative Neuro-Genetic Algorithm and Geometric Loss Function for Mobility Prediction.
Proceedings of the MobiWac '21: Proceedings of the 19th ACM International Symposium on Mobility Management and Wireless Access, Alicante, Spain, November 22, 2021

A Machine Learning Regression Approach for Throughput Estimation in an IoT Environment.
Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

2020
IoT Traffic Multi-Classification Using Network and Statistical Features in a Smart Environment.
Proceedings of the 25th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2020

2017
Sum-of-the-Parts Valuation-Based Scheduling of Parallel Applications over Global Grid.
Proceedings of the 2017 International Conference on Frontiers of Information Technology, 2017


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