Sadman Sakib

Orcid: 0000-0003-1922-7531

According to our database1, Sadman Sakib authored at least 21 papers between 2016 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges.
IEEE Access, 2024

2022
Optimal Channel Selection in Hybrid RF/VLC Networks: A Multi-Armed Bandit Approach.
IEEE Trans. Veh. Technol., 2022

A Lightweight Hierarchical AI Model for UAV-Enabled Edge Computing with Forest-Fire Detection Use-Case.
IEEE Netw., 2022

Energy-Aware Hybrid RF-VLC Multiband Selection in D2D Communication: A Stochastic Multiarmed Bandit Approach.
IEEE Internet Things J., 2022

Deep Learning Models for Magnetic Cardiography Edge Sensors Implementing Noise Processing and Diagnostics.
IEEE Access, 2022

Federated 3GPP Mobile Edge Computing Systems: A Transparent Proxy for Third Party Authentication With Application Mobility Support.
IEEE Access, 2022

Provisioning Fog Services to 3GPP Subscribers: Authentication and Application Mobility.
Proceedings of the IEEE International Conference on Communications, 2022

2021
A Deep Learning Method for Predictive Channel Assignment in Beyond 5G Networks.
IEEE Netw., 2021

An Efficient and Lightweight Predictive Channel Assignment Scheme for Multiband B5G-Enabled Massive IoT: A Deep Learning Approach.
IEEE Internet Things J., 2021

A Proof-of-Concept of Ultra-Edge Smart IoT Sensor: A Continuous and Lightweight Arrhythmia Monitoring Approach.
IEEE Access, 2021

Asynchronous Federated Learning-based ECG Analysis for Arrhythmia Detection.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2021

Runtime Variability Monitor for Data Retention Characteristics of Commercial NAND Flash Memory.
Proceedings of the IEEE International Reliability Physics Symposium, 2021

On COVID-19 Prediction Using Asynchronous Federated Learning-Based Agile Radiograph Screening Booths.
Proceedings of the ICC 2021, 2021

Noise-Removal from Spectrally-Similar Signals Using Reservoir Computing for MCG Monitoring.
Proceedings of the ICC 2021, 2021

2020
DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach.
IEEE Access, 2020

Migrating Intelligence from Cloud to Ultra-Edge Smart IoT Sensor Based on Deep Learning: An Arrhythmia Monitoring Use-Case.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

A Rigorous Analysis of Biomedical Edge Computing: An Arrhythmia Classification Use-Case Leveraging Deep Learning.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence System, 2020

2019
A Novel Hybrid Swarm Intelligence Algorithm Combining Modified Artificial Bee Colony and Firefly Algorithms.
Proceedings of International Joint Conference on Computational Intelligence, 2019

2018
Non-Invasive Detection Method for Recycled Flash Memory Using Timing Characteristics <sup>†</sup>.
Cryptogr., 2018

Independent detection of recycled flash memory: Challenges and solutions.
Proceedings of the 2018 IEEE International Symposium on Hardware Oriented Security and Trust, 2018

2016
CitizenConnect: Connecting Citizens with Public Service Providers.
Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016


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