Daniel Arockiam
Orcid: 0000-0001-5564-2332
According to our database1,
Daniel Arockiam
authored at least 12 papers
between 2020 and 2025.
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Bibliography
2025
A novel optimized hybrid deep learning model for intrusion detection in software defined internet of things (SDIoT) environment.
Clust. Comput., December, 2025
Explainable Federated Learning-Based Secure and Transparent Object Detection Model for Autonomous Vehicles.
IEEE Trans. Consumer Electron., May, 2025
IEEE J. Sel. Top. Signal Process., May, 2025
2024
Enhancing Human Activity Detection and Classification Using Fine Tuned Attention-Based Transformer Models.
SN Comput. Sci., December, 2024
Consumer Product Recommendation System Using Adapted PSO With Federated Learning Method.
IEEE Trans. Consumer Electron., February, 2024
2023
Optimal feature selection for malware detection in cyber physical systems using graph convolutional network.
Comput. Electr. Eng., May, 2023
Intell. Autom. Soft Comput., 2023
2022
Adv. Comput., 2022
Adv. Comput., 2022
2021
Energy Aware Clustering with Multihop Routing Algorithm for Wireless Sensor Networks.
Intell. Autom. Soft Comput., 2021
Enhanced Ant Colony Optimization Algorithm for Optimizing Load Balancing in Cloud Computing Platform.
Proceedings of the Computational Intelligence in Data Science, 2021
2020
A novel approach to minimize classifier computational overheads in Big Data using neural networks.
Phys. Commun., 2020