Vincenzo Gallo

According to our database, Vincenzo Gallo authored at least 18 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Design and Characterization of a Powered Wheelchair Autonomous Guidance System.

Vincenzo Gallo, Irida Shallari, Marco Carratù, Valter Laino, Consolatina Liguori

Sensors, March, 2024

2023

Smart Water Meter Based on Deep Neural Network and Undersampling for PWNC Detection.

Marco Carratù, Salvatore Dello Iacono, Giuseppe Di Leo, Vincenzo Gallo, Consolatina Liguori, Antonio Pietrosanto

IEEE Trans. Instrum. Meas., 2023

A Novel Methodology for Unsupervised Anomaly Detection in Industrial Electrical Systems.

Marco Carratù, Vincenzo Gallo, Salvatore Dello Iacono, Paolo Sommella, Alessandro Bartolini, Francesco Grasso, Lorenzo Ciani, Gabriele Patrizi

IEEE Trans. Instrum. Meas., 2023

A Survey on Uncertainty Assessment in ANN-Based Measurements.

Marco Carratù, Vincenzo Gallo, Valter Laino, Consolatina Liguori, Antonio Pietrosanto

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

The Evaluation of Uncertainty in Measurements Using Artificial Neural Network Techniques.

Marco Carratù, Vincenzo Gallo, Valter Laino, Consolatina Liguori, Vincenzo Paciello, Antonio Pietrosanto

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Metrological Characterization of a Clip Fastener assembly fault detection system based on Deep Learning.

Vincenzo Gallo, Irida Shallari, Marco Carratu, Mattias O'Nils

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

An enhanced Smart Sampling algorithm based on Deep Learning.

Marco Carratù, Salvatore Dello Iacono, Vincenzo Gallo, Vincenzo Paciello, Gustavo Monte, António Espírito-Santo

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

Anomaly Detection on Industrial Electrical Systems using Deep Learning.

Marco Carratù, Vincenzo Gallo, Antonio Pietrosanto, Paolo Sommella, Gabriele Patrizi, Alessandro Bartolini, Lorenzo Ciani, Marcantonio Catelani, Francesco Grasso

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

An innovative method for log diameter measurements based on deep learning.

Marco Carratù, Vincenzo Gallo, Consolatina Liguori, Antonio Pietrosanto, Mattias O'Nils, Jan Lundgren

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

Noise Floor Characterization in Accelerometers for Earthquake Monitoring.

Daniele Buonocore, Marco Carratù, Salvatore Dello Iacono, Vincenzo Gallo, Vincenzo Paciello

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022

Smart Water Meter.

Vincenzo Gallo, Salvatore Dello Iacono, Marco Carratù, Giuseppe Di Leo, Consolatina Liguori, Antonio Pietrosanto

Dataset, December, 2022

A Virtual Soil Moisture Sensor for Smart Farming Using Deep Learning.

Gabriele Patrizi, Alessandro Bartolini, Lorenzo Ciani, Vincenzo Gallo, Paolo Sommella, Marco Carratù

IEEE Trans. Instrum. Meas., 2022

Image Scaling Effects on Deep Learning Based Applications.

Irida Shallari, Vincenzo Gallo, Marco Carratu, Mattias O'Nils, Consolatina Liguori, Mazhar Hussain

Proceedings of the IEEE International Symposium on Measurements & Networking, 2022

IEEE 1451: Communication among smart sensors using MQTT protocol.

Marco Carratù, Vincenzo Gallo, Vincenzo Paciello

Proceedings of the IEEE International Symposium on Measurements & Networking, 2022

A novel image processing technique based on deep learning for water consumption detection.

Marco Carratù, Salvatore Dello Iacono, Giuseppe Di Leo, Vincenzo Gallo, Consolatina Liguori, Antonio Pietrosanto

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

A deep learning approach for the development of an Early Earthquake Warning system.

Marco Carratù, Vincenzo Gallo, Vincenzo Paciello, Antonio Pietrosanto

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

Development of a new speed measurement technique based on deep learning.

Marco Carratù, Vincenzo Gallo, Consolatina Liguori, Vincenzo Paciello

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

2021

A CNN-based approach to measure wood quality in timber bundle images.

Marco Carratù, Vincenzo Gallo, Consolatina Liguori, Antonio Pietrosanto, Mattias O'Nils, Jan Lundgren

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021