Antonio Coviello

Orcid: 0000-0001-9080-3584

According to our database1, Antonio Coviello authored at least 11 papers between 2022 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Optimizing Inductive Link Design for Wireless Power Transfer to Implanted Medical Devices in Preclinical Studies with COMSOL.
Proceedings of the 19th International Symposium on Medical Information and Communication Technology, 2025

Low-Complexity CNN-Based Classification of Electroneurographic Signals.
Proceedings of the 19th International Symposium on Medical Information and Communication Technology, 2025

Communication in Implantable Medical Devices: FEM Simulation to Evaluate the Coating Effects on Transmission.
Proceedings of the 19th International Symposium on Medical Information and Communication Technology, 2025

PSD-Based Outlier Removal for Enhancing ENG Signal Analysis and Classification.
Proceedings of the 19th International Symposium on Medical Information and Communication Technology, 2025

Secret Key Extraction using Galvanic Coupling in Wireless Body Area Networks.
Proceedings of the 19th International Symposium on Medical Information and Communication Technology, 2025

2024
Artificial Neural Networks-Based Real-Time Classification of ENG Signals for Implanted Nerve Interfaces.
IEEE J. Sel. Areas Commun., August, 2024

Comparison of Imaging and Data Prediction Compression Methods for Implanted Real-Time Peripheral Nervous System.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

Strategies for Efficient ENG Signal Classification Using Data Augmentation and Data Balancing Techniques.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

2023
Comparison of Data Compression Methods for Implanted Real-Time Peripheral Nervous System.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Classification of Sensory Neural Signals through Deep Learning Methods.
Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023

2022
Neural network-based classification of ENG recordings in response to naturally evoked stimulation.
Proceedings of the NANOCOM '22: The Ninth Annual ACM International Conference on Nanoscale Computing and Communication, Barcelona, Catalunya, Spain, October 5, 2022


  Loading...