Shagufta Henna

Orcid: 0000-0002-8753-5467

According to our database1, Shagufta Henna authored at least 34 papers between 2008 and 2024.

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Bibliography

2024
Rényi Differential Privacy Analysis of Skellam Under Federated Learning in Internet of Health Things.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

2023
Heterogeneous Graph Transformer for Advanced Persistent Threat Classification in Wireless Networks.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2023

Wireless Sensor Networks Calibration using Attention-based Gated Recurrent Units for Air Pollution Monitoring.
Proceedings of the IEEE International Conference on Big Data, 2023

Air Pollution Monitoring Using Online Recurrent Extreme Learning Machine.
Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023

Extreme Learning Machines for Calibration and Prediction in Wireless Sensor Networks: Advancing Environmental Monitoring Efficiency.
Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023

A Graph Neural Network-based Security Posture-aware Cloud Service Provider Selection for Multi-cloud.
Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023

Global-Local Influence Maximization Subgraph Sampling-Based Graph Representation Learning for Innate Immune Response Classification.
Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023

Deep Reinforcement Learning for Advanced Persistent Threat Detection in Wireless Networks.
Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023

Rényi Differential Privacy Analysis of Graph-Based Federated Learning Under Internet of Health Things.
Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023

2022
Distributed and Collaborative High-Speed Inference Deep Learning for Mobile Edge with Topological Dependencies.
IEEE Trans. Cloud Comput., 2022

From Interpretable Filters to Predictions of Convolutional Neural Networks with Explainable Artificial Intelligence.
CoRR, 2022

Correction to "Performance Evaluation of LoRaWAN for Green Internet of Things".
IEEE Access, 2022

Multi-Graph Convolutional Neural Network for Breast Cancer Multi-task Classification.
Proceedings of the Artificial Intelligence and Cognitive Science - 30th Irish Conference, 2022

2021
Understanding Human Innate Immune System Dependencies using Graph Neural Networks.
CoRR, 2021

A Data Augmented Approach to Transfer Learning for Covid-19 Detection.
CoRR, 2021

Enterprise Analytics using Graph Database and Graph-based Deep Learning.
CoRR, 2021

Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication Systems.
CoRR, 2021

Modeling Human Innate Immune Response Using Graph Neural Networks.
IEEE Access, 2021

2020
Collaborative Wireless Power Transfer in Wireless Rechargeable Sensor Networks.
Wirel. Commun. Mob. Comput., 2020

2019
An Efficient Precoding Algorithm for mmWave Massive MIMO Systems.
Symmetry, 2019

Performance Evaluation of LoRaWAN for Green Internet of Things.
IEEE Access, 2019

An Internet of Things (IoT)-Based Coverage Monitoring for Mission Critical Regions.
Proceedings of the 10th IFIP International Conference on New Technologies, 2019

Deep Reinforcement Learning for Topology-Aware VNF Resource Prediction in NFV Environments.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2019

2018
An Adaptive Backoff Mechanism for IEEE 802.15.4 Beacon-Enabled Wireless Body Area Networks.
Wirel. Commun. Mob. Comput., 2018

Evaluation of Propagation Path Delay Using 3D Scattered Model in LoRaWAN.
Ad Hoc Sens. Wirel. Networks, 2018

2017
A Fair Contention Access Scheme for Low-Priority Traffic in Wireless Body Area Networks.
Sensors, 2017

Energy Efficient Fault Tolerant Coverage in Wireless Sensor Networks.
J. Sensors, 2017

2016
PW-MMAC: Predictive-Wakeup Multi-channel MAC Protocol for Wireless Sensor Networks.
Proceedings of the UKSim-AMSS 18th International Conference on Computer Modelling and Simulation, 2016

A Survey on Mobility Management Techniques in VANETs.
Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016

2013
Least Channel Variation Multi-channel MAC (LCV-MMAC).
Proceedings of the Ad-hoc, Mobile, and Wireless Network - 12th International Conference, 2013

Approximating Maximum Disjoint Coverage in Wireless Sensor Networks.
Proceedings of the Ad-hoc, Mobile, and Wireless Network - 12th International Conference, 2013

2011
SA-RI-MAC: Sender-Assisted Receiver-Initiated Asynchronous Duty Cycle MAC Protocol for Dynamic Traffic Loads in Wireless Sensor Networks.
Proceedings of the Mobile Lightweight Wireless Systems, 2011

2010
CMAB: cross layer mobility-adaptive broadcasting in mobile ad hoc networks.
Proceedings of the MoMM'2010, 2010

2008
A Transformation Framework For XML-based Data Transformation Agent For Data Warehousing.
Proceedings of the 2008 International Conference on Internet Computing, 2008


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