Sunder Ali Khowaja

Orcid: 0000-0002-4586-4131

According to our database1, Sunder Ali Khowaja authored at least 59 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
SLIP: Self-Supervised Learning Based Model Inversion and Poisoning Detection-Based Zero-Trust Systems for Vehicular Networks.
IEEE Wirel. Commun., April, 2024

Towards defining industry 5.0 vision with intelligent and softwarized wireless network architectures and services: A survey.
J. Netw. Comput. Appl., March, 2024

Multikeyword-Ranked Search Scheme Supporting Extreme Environments for Internet of Vehicles.
IEEE Internet Things J., February, 2024

ReFuSeAct: Representation fusion using self-supervised learning for activity recognition in next generation networks.
Inf. Fusion, February, 2024

AI and 6G Into the Metaverse: Fundamentals, Challenges and Future Research Trends.
IEEE Open J. Commun. Soc., 2024

GT-Rain Single Image Deraining Challenge Report.
CoRR, 2024

2023
Triage of potential COVID-19 patients from chest X-ray images using hierarchical convolutional networks.
Neural Comput. Appl., November, 2023

VIRFIM: an AI and Internet of Medical Things-driven framework for healthcare using smart sensors.
Neural Comput. Appl., August, 2023

Flexible Data Integrity Checking With Original Data Recovery in IoT-Enabled Maritime Transportation Systems.
IEEE Trans. Intell. Transp. Syst., February, 2023

Adversarial Learning Networks for FinTech Applications Using Heterogeneous Data Sources.
IEEE Internet Things J., February, 2023

NEAT: A Resilient Deep Representational Learning for Fault Detection Using Acoustic Signals in IIoT Environment.
IEEE Internet Things J., February, 2023

Spatiotemporal Prediction Based Intelligent Task Allocation for Secure Spatial Crowdsourcing in Industrial IoT.
IEEE Trans. Netw. Sci. Eng., 2023

Get Your Foes Fooled: Proximal Gradient Split Learning for Defense Against Model Inversion Attacks on IoMT Data.
IEEE Trans. Netw. Sci. Eng., 2023

A Secure Data Sharing Scheme in Community Segmented Vehicular Social Networks for 6G.
IEEE Trans. Ind. Informatics, 2023

TAB-SAPP: A Trust-Aware Blockchain-Based Seamless Authentication for Massive IoT-Enabled Industrial Applications.
IEEE Trans. Ind. Informatics, 2023

Guest Editorial DENSE - Data Integrity, Integration and Security Issues for Consumer Data in Industry 5.0.
IEEE Trans. Consumer Electron., 2023

Multimodal-Boost: Multimodal Medical Image Super-Resolution Using Multi-Attention Network With Wavelet Transform.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Smart Navigation and Energy Management Framework for Autonomous Electric Vehicles in Complex Environments.
IEEE Internet Things J., 2023

A Lightweight Blockchain-Based Remote Mutual Authentication for AI-Empowered IoT Sustainable Computing Systems.
IEEE Internet Things J., 2023

Face-PAST: Facial Pose Awareness and Style Transfer Networks.
CoRR, 2023

SelfFed: Self-supervised Federated Learning for Data Heterogeneity and Label Scarcity in IoMT.
CoRR, 2023

ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review.
CoRR, 2023

SPIN: Simulated Poisoning and Inversion Network for Federated Learning-Based 6G Vehicular Networks.
Proceedings of the IEEE International Conference on Communications, 2023

DASTAN-CNN: RF Fingerprinting for the Mitigation of Membership Inference Attacks in 5G.
Proceedings of the IEEE Global Communications Conference, 2023



2022
Toward Industrial Private AI: A Two-Tier Framework for Data and Model Security.
IEEE Wirel. Commun., 2022

In the Digital Age of 5G Networks: Seamless Privacy-Preserving Authentication for Cognitive-Inspired Internet of Medical Things.
IEEE Trans. Ind. Informatics, 2022

UAV-Enabled Non-Orthogonal Multiple Access Networks for Ground-Air-Ground Communications.
IEEE Trans. Green Commun. Netw., 2022

FuzzyAct: A Fuzzy-Based Framework for Temporal Activity Recognition in IoT Applications Using RNN and 3D-DWT.
IEEE Trans. Fuzzy Syst., 2022

IIFNet: A Fusion-Based Intelligent Service for Noisy Preamble Detection in 6G.
IEEE Netw., 2022

Towards soft real-time fault diagnosis for edge devices in industrial IoT using deep domain adaptation training strategy.
J. Parallel Distributed Comput., 2022

Skeleton-based human action recognition with sequential convolutional-LSTM networks and fusion strategies.
J. Ambient Intell. Humaniz. Comput., 2022

DDI: A Novel Architecture for Joint Active User Detection and IoT Device Identification in Grant-Free NOMA Systems for 6G and Beyond Networks.
IEEE Internet Things J., 2022

2nd Place Solutions for UG2+ Challenge 2022 - D<sup>3</sup>Net for Mitigating Atmospheric Turbulence from Images.
CoRR, 2022

AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends.
CoRR, 2022

Industry 5.0 is Coming: A Survey on Intelligent NextG Wireless Networks as Technological Enablers.
CoRR, 2022

Towards Energy Efficient Distributed Federated Learning for 6G Networks.
CoRR, 2022

AI-enabled privacy-preservation phrase with multi-keyword ranked searching for sustainable edge-cloud networks in the era of industrial IoT.
Ad Hoc Networks, 2022


2021
Toward Energy-Efficient Distributed Federated Learning for 6G Networks.
IEEE Wirel. Commun., 2021

Optimal Radius for Enhanced Lifetime in IoT Using Hybridization of Rider and Grey Wolf Optimization.
IEEE Trans. Green Commun. Netw., 2021

Cascaded and Recursive ConvNets (CRCNN): An effective and flexible approach for image denoising.
Signal Process. Image Commun., 2021

Toward soft real-time stress detection using wrist-worn devices for human workspaces.
Soft Comput., 2021

Q-learning and LSTM based deep active learning strategy for malware defense in industrial IoT applications.
Multim. Tools Appl., 2021

Towards Industrial Private AI: A two-tier framework for data and model security.
CoRR, 2021

Internet of Everything enabled solution for COVID-19, its new variants and future pandemics: Framework, Challenges, and Research Directions.
CoRR, 2021

Sparse Bayesian learning based channel estimation in FBMC/OQAM industrial IoT networks.
Comput. Commun., 2021

2020
Hybrid and hierarchical fusion networks: a deep cross-modal learning architecture for action recognition.
Neural Comput. Appl., 2020

Prediction of stock movement using phase space reconstruction and extreme learning machines.
J. Exp. Theor. Artif. Intell., 2020

Semantic Image Networks for Human Action Recognition.
Int. J. Comput. Vis., 2020

Fine-grained emotion recognition: fusion of physiological signals and facial expressions on spontaneous emotion corpus.
Int. J. Ad Hoc Ubiquitous Comput., 2020

CAPHAR: context-aware personalized human activity recognition using associative learning in smart environments.
Hum. centric Comput. Inf. Sci., 2020

Triage of Potential COVID-19 Patients from Chest X-ray Images using Hierarchical Convolutional Networks.
CoRR, 2020

2019
A framework for retinal vessel segmentation from fundus images using hybrid feature set and hierarchical classification.
Signal Image Video Process., 2019

2018
Contextual activity based Healthcare Internet of Things, Services, and People (HIoTSP): An architectural framework for healthcare monitoring using wearable sensors.
Comput. Networks, 2018

A Novel Curvature Feature Embedded Level Set Method for Image Segmentation of Coronary Angiograms.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

A Framework for Real Time Emotion Recognition Based on Human ANS Using Pervasive Device.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017
Hierarchical classification method based on selective learning of slacked hierarchy for activity recognition systems.
Expert Syst. Appl., 2017


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