Ali Rizwan
Orcid: 0000-0002-2348-8577
According to our database1,
Ali Rizwan
authored at least 24 papers
between 2018 and 2024.
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Bibliography
2024
Blockchain-enabled federated learning for prevention of power terminals threats in IoT environment using edge zero-trust model.
J. Supercomput., April, 2024
A Deep Learning Network-on-Chip (NoC)-Based Switch-Router to Enhance Information Security in Resource-Constrained Devices.
J. Circuits Syst. Comput., March, 2024
An AI-enabled Bias-Free Respiratory Disease Diagnosis Model using Cough Audio: A Case Study for COVID-19.
CoRR, 2024
2023
IEEE Trans. Veh. Technol., December, 2023
CAAI Trans. Intell. Technol., December, 2023
IEEE Wirel. Commun., August, 2023
IoT-Based Federated Learning Model for Hypertensive Retinopathy Lesions Classification.
IEEE Trans. Comput. Soc. Syst., August, 2023
Optimizing Deep Learning Model Parameters Using Socially Implemented IoMT Systems for Diabetic Retinopathy Classification Problem.
IEEE Trans. Comput. Soc. Syst., August, 2023
Generic Edge Computing System for Optimization and Computation Offloading of Unmanned Aerial Vehicle.
Comput. Electr. Eng., July, 2023
Phys. Commun., June, 2023
Rule Based Fuzzy Computing Approach on Self-Supervised Sentiment Polarity Classification with Word Sense Disambiguation in Machine Translation for Hindi Language.
ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023
Machine Learning-Enabled Smart Industrial Automation Systems Using Internet of Things.
Sensors, 2023
Towards using Cough for Respiratory Disease Diagnosis by leveraging Artificial Intelligence: A Survey.
CoRR, 2023
Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework.
CoRR, 2023
Toward Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework.
IEEE Commun. Surv. Tutorials, 2023
2022
A Data-Driven Self-Optimization Solution for Inter-Frequency Mobility Parameters in Emerging Networks.
IEEE Trans. Cogn. Commun. Netw., 2022
A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports.
IEEE Access, 2022
Deep Learning-based Framework for Multi-Fault Diagnosis in Self-Healing Cellular Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
Addressing Data Sparsity with GANs for Multi-fault Diagnosing in Emerging Cellular Networks.
Proceedings of the 2022 International Conference on Artificial Intelligence in Information and Communication, 2022
2021
IEEE Access, 2021
2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
2018
Leveraging Intelligence from Network CDR Data for Interference Aware Energy Consumption Minimization.
IEEE Trans. Mob. Comput., 2018
A Review on the Role of Nano-Communication in Future Healthcare Systems: A Big Data Analytics Perspective.
IEEE Access, 2018
Mobile Internet Activity Estimation and Analysis at High Granularity: SVR Model Approach.
Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018