Iqra Batool

Orcid: 0000-0003-1518-0334

According to our database1, Iqra Batool authored at least 20 papers between 2021 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
AI-Native Predictive Scheduling for Computing Power Networks: A Multi-Scale Learning Framework for Ultra-Low Latency 6G Applications.
IEEE Trans. Netw. Sci. Eng., 2026

Quantum-Enhanced Massive MIMO Beamforming for 6G IoT Networks: A QAOA-Based Optimization Framework.
IEEE Open J. Commun. Soc., 2026

AMADRL: Privacy-Aware Attention-Based Multiagent Deep Reinforcement Learning for Optimizing Spectral Allocation in 6G Vehicular Networks.
IEEE Internet Things J., 2026

Privacy-Preserving Federated Meta-Learning for Cell-Free Massive MIMO: Instant Adaptation With Distributed Intelligence.
IEEE Internet Things J., 2026

2025
Serverless Edge Computing: A Taxonomy, Systematic Literature Review, Current Trends and Research Challenges.
CoRR, February, 2025

RealTime Health Monitoring Using 5G Networks: A Deep Learning-Based Architecture for Remote Patient Care.
CoRR, January, 2025

Joint Optimization of IRS and THz Resource Allocation in 6G IoT Networks: An Adaptive Online MADDPG Approach.
IEEE Internet Things J., 2025

Enhanced cybersecurity for smart grids: Detecting protocol-specific DDoS attacks on Modbus networks.
Comput. Electr. Eng., 2025

PFANS: An Intelligent 6G Framework for Dynamic Autonomous Vehicle Learning.
Proceedings of the 12th International Conference on Wireless Networks and Mobile Communications, 2025

Combating Neural Network Adversaries in Autonomous Vehicles: A 6G-Ready Defense Framework.
Proceedings of the 12th International Conference on Wireless Networks and Mobile Communications, 2025

Adaptive Resource Allocation for 6G Network Slicing via Hybrid CNN-LSTM Architecture.
Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

MAGHE: A Predictive Mobility-Aware Framework for VNF Embedding in B5G Networks.
Proceedings of the IEEE Virtual Conference on Communications, 2025

Privacy-Preserving Energy Forecasting in 5G+ Smart Grids Using PSI-Constrained LSTM Networks.
Proceedings of the IEEE Virtual Conference on Communications, 2025

DRL-Based NFV Orchestration for Ultra-Low Latency Edge Applications.
Proceedings of the IEEE Virtual Conference on Communications, 2025

Adaptive Resource Allocation in Emerging High-mobility Networks Using Hybrid Deep Learning Models.
Proceedings of the IEEE International Conference on Communications, 2025

2024
Mathematical Multiscale Modeling and Stability Analysis of Cancer Genesis
PhD thesis, 2024

Deep Learning-Based Throughput Prediction in 5G Cellular Networks.
Proceedings of the International Conference on Smart Applications, 2024

2023
Software fault prediction using deep learning techniques.
Softw. Qual. J., December, 2023

2022
Software fault prediction using data mining, machine learning and deep learning techniques: A systematic literature review.
Comput. Electr. Eng., 2022

2021
BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm.
PeerJ Comput. Sci., 2021


  Loading...