Faheem Zafari

Orcid: 0000-0002-6793-1745

According to our database1, Faheem Zafari authored at least 25 papers between 2013 and 2023.

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Bibliography

2023
Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach.
IEEE Trans. Netw. Serv. Manag., December, 2023

2021
Let's Share: A Game-Theoretic Framework for Resource Sharing in Mobile Edge Clouds.
IEEE Trans. Netw. Serv. Manag., 2021

A TTL-based Approach for Content Placement in Edge Networks.
Proceedings of the Performance Evaluation Methodologies and Tools, 2021

2020
Optimal resource management in communication networks: theory and algorithm designs.
PhD thesis, 2020

Optimal Energy Consumption for Communication, Computation, Caching, and Quality Guarantee.
IEEE Trans. Control. Netw. Syst., 2020

2019
A Survey of Indoor Localization Systems and Technologies.
IEEE Commun. Surv. Tutorials, 2019

Jointly Compressing and Caching Data in Wireless Sensor Networks.
Proceedings of the IEEE International Conference on Smart Computing, 2019

A Game-Theoretic Framework for Resource Sharing in Clouds.
Proceedings of the 12th IFIP Wireless and Mobile Networking Conference, 2019

2018
A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge Clouds.
CoRR, 2018

Joint Data Compression and Caching: Approaching Optimality with Guarantees.
Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge.
Proceedings of the 2018 on Technologies for the Wireless Edge Workshop, 2018

A Novel Bayesian Filtering Based Algorithm for RSSI-Based Indoor Localization.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Optimal Energy Tradeoff Among Communication, Computation and Caching with QoI-Guarantee.
Proceedings of the IEEE Global Communications Conference, 2018

2017
What, When and Where to Cache: A Unified Optimization Approach.
CoRR, 2017

An iBeacon based Proximity and Indoor Localization System.
CoRR, 2017

Enhancing the accuracy of iBeacons for indoor proximity-based services.
Proceedings of the IEEE International Conference on Communications, 2017

2016
Microlocation for Internet-of-Things-Equipped Smart Buildings.
IEEE Internet Things J., 2016

Dynamic feedback neuro-evolutionary networks for forecasting the highly fluctuating electrical loads.
Genet. Program. Evolvable Mach., 2016

Predicting network attack patterns in SDN using machine learning approach.
Proceedings of the 2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2016

2015
Micro-location for Internet of Things equipped Smart Buildings.
CoRR, 2015

Enhancing iBeacon Based Micro-Location with Particle Filtering.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

2014
Evolving Recurrent Neural Network using Cartesian Genetic Programming to Predict The Trend in Foreign Currency Exchange Rates.
Appl. Artif. Intell., 2014

2013
Electrical load forecasting using fast learning recurrent neural networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Very Short Term Load Forecasting Using Cartesian Genetic Programming Evolved Recurrent Neural Networks (CGPRNN).
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Future Clients' Requests Estimation for Dynamic Resource Allocation in Cloud Data Center Using CGPANN.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013


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