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Mahzabeen Emu
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2020 – today
- 2024
- [j4]Mahzabeen Emu, Salimur Choudhury, Kai Salomaa:
Warm and Cold Start Quantum Annealing for Metaverse Resource Optimization. IEEE Open J. Commun. Soc. 5: 1057-1071 (2024) - [j3]Mahzabeen Emu, Salimur Choudhury, Kai Salomaa:
Stochastic Resource Optimization for Metaverse Data Marketplace by Leveraging Quantum Neural Networks. IEEE Trans. Netw. Serv. Manag. 21(3): 2613-2623 (2024) - [c16]Mahzabeen Emu, Tasnim Ahmed, Salimur Choudhury:
Automated Scheduling for Thematic Coherence in Conferences. AIware 2024 - [c15]Mahzabeen Emu, Salimur Choudhury, Kai Salomaa:
Robust Virtual Network Function Optimization Under Post-Failure Uncertainty: Classical & Quantum Computing. DRCN 2024: 129-135 - 2023
- [c14]Mahzabeen Emu, Salimur Choudhury, Kai Salomaa:
Quantum Computing Empowered Metaverse: An Approach for Resource Optimization. ICC 2023: 2412-2418 - [c13]Mahzabeen Emu, Salimur Choudhury, Kai Salomaa:
Quantum Neural Networks driven Stochastic Resource Optimization for Metaverse Data Marketplace. NetSoft 2023: 242-246 - [c12]Mahzabeen Emu, Md Yeakub Hassan, Zubair Md. Fadlullah, Salimur Choudhury:
Algorithm Package of AI-Driven SDN Controller-Switch Load Balancing Strategies. SSCI 2023: 347-354 - 2022
- [c11]Mahzabeen Emu, Salimur Choudhury, Kai Salomaa:
Resource Optimization of SFC Embedding for IoT Networks Using Quantum Computing. CAMAD 2022: 83-88 - [c10]Md Yeakub Hassan, Mahzabeen Emu, Zubair Md. Fadlullah, Salimur Choudhury:
Optimal Models for Distributing Vaccines in a Pandemic. ICORES 2022: 337-344 - [c9]Xing Tan, Mahzabeen Emu, Salimur Choudhury:
Task Offloading in Mobile Edge Computing: Intractability and Proposed Approaches. WI/IAT 2022: 775-778 - 2021
- [j2]Mahzabeen Emu, Salimur Choudhury:
Ensemble Deep Learning Assisted VNF Deployment Strategy for Next-Generation IoT Services. IEEE Open J. Comput. Soc. 2: 260-275 (2021) - [c8]Mahzabeen Emu, Salimur Choudhury:
Towards 6G Networks: Ensemble Deep Learning Empowered VNF Deployment for IoT Services. CCNC 2021: 1-4 - [c7]Mahzabeen Emu, Salimur Choudhury:
DSO: An Intelligent SFC Orchestrator for Time and Resource Intensive Ultra Dense IoT Networks. ICC 2021: 1-6 - [c6]Mahzabeen Emu, Dhivya Chandrasekaran, Vijay Mago, Salimur Choudhury:
Validating Optimal COVID-19 Vaccine Distribution Models. ICCS (1) 2021: 352-366 - [i1]Mahzabeen Emu, Dhivya Chandrasekaran, Vijay Mago, Salimur Choudhury:
Validating Optimal COVID-19 Vaccine Distribution Models. CoRR abs/2102.04251 (2021) - 2020
- [j1]Mahzabeen Emu, Salimur Choudhury:
IoT Ecosystem on Exploiting Dynamic VNF Orchestration and Service Chaining: AI to the Rescue? IEEE Internet Things Mag. 3(4): 30-35 (2020) - [c5]Mahzabeen Emu, Salimur Choudhury:
Ensemble Deep Learning Aided VNF Deployment for IoT Services. CNSM 2020: 1-7 - [c4]Mahzabeen Emu, Farjana Bintay Kamal, Salimur Choudhury, Thiago Eustaquio Alves de Oliveira:
Assisting the Non-invasive Diagnosis of Liver Fibrosis Stages using Machine Learning Methods. EMBC 2020: 5382-5387 - [c3]Mahzabeen Emu, Peizhi Yan, Salimur Choudhury:
Latency Aware VNF Deployment at Edge Devices for IoT Services: An Artificial Neural Network Based Approach. ICC Workshops 2020: 1-6 - [c2]Nafiul Nawjis, Mohammad Shafiul Alam, Mahzabeen Emu:
Hybridization of Evolutionary and Swarm Intelligence Algorithms for improved performance: A case study with TSP problem. ICCA 2020: 4:1-4:7
2010 – 2019
- 2019
- [c1]Sadman Sakib, Mahzabeen Emu, Syed Mustafizur Rahman Chowdhury, Mohammad Shafiul Alam:
A Novel Hybrid Swarm Intelligence Algorithm Combining Modified Artificial Bee Colony and Firefly Algorithms. IJCCI 2019: 355-370
Coauthor Index
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