Vincenzo Gallo

According to our database, Vincenzo Gallo authored at least 36 papers between 2021 and 2025.

Collaborative distances:

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

2025

A New Health Index for RUL Estimation of MEMS Sensors Using Dimensionality Reduction and Artificial Neural Networks.

Marco Carratù, Vincenzo Gallo, Salvatore Dello Iacono, Paolo Sommella, Lorenzo Ciani, Gabriele Patrizi

IEEE Trans. Instrum. Meas., 2025

Monte Carlo-Based Strategy for Assessing the Impact of EEG Data Uncertainty on Confidence in Convolutional Neural Network Classification.

Pierre Sedi Nzakuna, Vincenzo Gallo, Vincenzo Paciello, Aimé Lay-Ekuakille, Angelo Kuti Lusala

IEEE Access, 2025

On the recognition of tremor severity in Parkinson's disease by means of inertial measurements-based ML algorithm.

Chiara Carissimo, Gianni Cerro, Sara Poce, Giorgio de Alteriis, Federico Gargiulo, Rosario Schiano Lo Moriello, Marco Carratu, Consolatina Liguori, Vincenzo Gallo

Proceedings of the IEEE Sensors Applications Symposium, 2025

Robotic Tremor Simulation for Experimental Validation of Inertial Sensors in Neurodegenerative Disease Monitoring.

Giorgio de Alteriis, Rosario Schiano Lo Moriello, Gianni Cerro, Chiara Carissimo, Vincenzo Gallo, Lorenzo Coppola, Francesco de Pandi, Francesco Cirillo, Consolatina Liguori, Marco Carratù

Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2025

Deployment of an Anomaly Detection Methodology Based on Generative Adversarial Network.

Marco Carratù, Vincenzo Gallo, Antonio Pietrosanto, Paolo Sommella

Proceedings of the IEEE International Workshop on Metrology for Automotive, 2025

FT-DropBlock: A Novel Approach for Spatiotemporal Regularization in EEG-based Convolutional Neural Networks.

Pierre Sedi Nzakuna, Vincenzo Paciello, Vincenzo Gallo, Aimé Lay-Ekuakille, Angelo Kuti Lusala

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

Signal First-Difference as Augmentation Method for CNN-Based Heart Sound Classification.

Chibuzo Joseph Nnonyelu, Meng Jiang, Vincenzo Gallo, Valter Laino, Marco Carratù, Jan Lundgren

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

Addressing Contextual Factors in ArUco Marker-Based Distance Estimation: A Machine Learning Approach.

Seyed Jalaleddin Mousavirad, Vincenzo Gallo, Irida Shallari, Mattias O'Nils

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

Preliminary Study on the Quality of Distributed Calibration Procedures for WSN.

Vincenzo Gallo, Daniele Buonocore, Vincenzo Paciello, Antonio Pietrosanto

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

Impact of Accelerated Life Testing on the Metrological Performance of Commercial MEMS Accelerometers.

Marco Carratù, Vincenzo Gallo, Valter Laino, Paolo Sommella, Antonio Pietrosanto, Lorenzo Ciani, Roberto Singuaroli, Gabriele Patrizi

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

Uncertainty-Aware Data Reconstruction in Autoencoders.

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

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

2024

Design and Characterization of a Powered Wheelchair Autonomous Guidance System.

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

Sensors, March, 2024

Propagation of Measurement Uncertainty in IMU Orientation Tracking Algorithms.

Daniele Buonocore, Marco Carratù, Vincenzo Gallo, Valter Laino, Antonio Pietrosanto, Paolo Sommella

Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 and IoT, 2024

Earthquake Magnitude Estimation with Single Seismic Station using Deep Learning.

Marco Carratù, Vincenzo Gallo, Valter Laino, Vincenzo Paciello, António Espírito-Santo, Irida Shallari

Proceedings of the 2024 IEEE International Symposium on Measurements & Networking (M&N), 2024

Accuracy Impact of Increased Measurement Quality when using Pretrained Networks for Classification.

Jan Lundgren, Meng Jiang, Valter Laino, Vincenzo Gallo, Marco Carratù, Chibuzo Joseph Nnonyelu

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

Remaining Useful Life estimation for MEMS-based transducers.

Marco Carratù, Vincenzo Gallo, Paolo Sommella, Antonio Pietrosanto, Marcantonio Catelani, Lorenzo Ciani, Gabriele Patrizi

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

Design and Evaluation of a Soft Sensor for Snow Weight Measurement.

Marco Carratù, Vincenzo Gallo, Consolatina Liguori, Irida Shallari, Jan Lundgren, Mattias O'Nils

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

Cross-Correlation Estimation in Artificial Neural Network for Uncertainty Assessment.

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

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

Including Measurement Uncertainty to Improve the Reliability of Classification ANN.

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

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 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