Apurba Adhikary

Orcid: 0000-0003-3970-1878

According to our database1, Apurba Adhikary authored at least 37 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Holographic MIMO With Integrated Sensing and Communication for Energy-Efficient Cell-Free 6G Networks.
IEEE Internet Things J., October, 2024

Integrated Sensing, Localization, and Communication in Holographic MIMO-Enabled Wireless Network: A Deep Learning Approach.
IEEE Trans. Netw. Serv. Manag., February, 2024

MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence.
IEEE Internet Things J., 2024

Boosting Federated Domain Generalization: Understanding the Role of Advanced Pre-Trained Architectures.
CoRR, 2024

Advancing Ultra-Reliable 6G: Transformer and Semantic Localization Empowered Robust Beamforming in Millimeter-Wave Communications.
CoRR, 2024

FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity.
CoRR, 2024

Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data.
CoRR, 2024

Corrections to "Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism".
IEEE Access, 2024

Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism.
IEEE Access, 2024

Towards Ultra-Reliable 6G: Semantics Empowered Robust Beamforming for Millimeter-Wave Networks.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

An Artificial Intelligence Framework for Dynamic Selection and Resource Allocation for EVs in Vehicular Networks.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Open RAN Embracing Continual Learning: Towards NextG Adaptive Traffic Analysis.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Transfer Learning Empowered Power Allocation in Holographic MIMO-enabled Wireless Network.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Towards Robust Federated Learning via Logits Calibration on Non-IID Data.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

A Power Allocation Framework for Holographic MIMO-Aided Energy-Efficient Cell-Free Networks.
Proceedings of the IEEE International Conference on Communications, 2024

Knowledge Distillation Assisted Robust Federated Learning: Towards Edge Intelligence.
Proceedings of the IEEE International Conference on Communications, 2024

2023
Machine Learning-Based Screening Solution for COVID-19 Cases Investigation: Socio-Demographic and Behavioral Factors Analysis and COVID-19 Detection.
Hum. Centric Intell. Syst., December, 2023

An Explainable Artificial Intelligence Framework for the Predictive Analysis of Hypo and Hyper Thyroidism Using Machine Learning Algorithms.
Hum. Centric Intell. Syst., September, 2023

Impact learning: A learning method from feature's impact and competition.
J. Comput. Sci., May, 2023

Neuro-Symbolic Explainable Artificial Intelligence Twin for Zero-Touch IoE in Wireless Network.
IEEE Internet Things J., 2023

Generative AI-driven Semantic Communication Framework for NextG Wireless Network.
CoRR, 2023

MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence.
CoRR, 2023

CDFed: Contribution-based Dynamic Federated Learning for Managing System and Statistical Heterogeneity.
Proceedings of the NOMS 2023, 2023

Artificial Intelligence Framework for Target Oriented Integrated Sensing and Communication in Holographic MIMO.
Proceedings of the NOMS 2023, 2023

An Artificial Intelligent-Driven Semantic Communication Framework for Connected Autonomous Vehicular Network.
Proceedings of the International Conference on Information Networking, 2023

A Framework for Multi-Prototype Based Federated Learning: Towards the Edge Intelligence.
Proceedings of the International Conference on Information Networking, 2023

RNN-based Text Summarization for Communication Cost Reduction: Toward a Semantic Communication.
Proceedings of the International Conference on Information Networking, 2023

An Artificial Intelligence Framework for Holographic Beamforming: Coexistence of Holographic MIMO and Intelligent Omni-Surface.
Proceedings of the International Conference on Information Networking, 2023

Segment Anything Model Aided Beam Prediction for the Millimeter Wave Communication.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

Knowledge Distillation in Federated Learning: Where and How to Distill?
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

Transformer-based Communication Resource Allocation for Holographic Beamforming: A Distributed Artificial Intelligence Framework.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

2022
Smart Greenhouse Monitoring System Using Internet of Things and Artificial Intelligence.
Wirel. Pers. Commun., 2022

Enhanced current mirror circuit by dual-gate coplanar amorphous InGaZnO TFTs.
Int. J. Circuit Theory Appl., 2022

Impact Learning: A Learning Method from Features Impact and Competition.
CoRR, 2022

Bornomala: A Deep Learning-Based Bangla Image Captioning Technique.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022

Edge Assisted Crime Prediction and Evaluation Framework for Machine Learning Algorithms.
Proceedings of the International Conference on Information Networking, 2022

2021
Performance Analysis of Transmission Rate and Decoding Rate Using Minimum Energy Channel Codes for Nanoscale Wireless Communication.
Wirel. Pers. Commun., 2021


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