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 (I2MTC, 2021)

Development of a new speed measurement technique based on deep learning. - Marco Carratù; Vincenzo Gallo; Consolatina Liguori; Vincenzo Paciello (I2MTC, 2022)

A deep learning approach for the development of an Early Earthquake Warning system. - Marco Carratù; Vincenzo Gallo; Vincenzo Paciello; Antonio Pietrosanto (I2MTC, 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 (I2MTC, 2022)

IEEE 1451: Communication among smart sensors using MQTT protocol. - Marco Carratù; Vincenzo Gallo; Vincenzo Paciello (M&N, 2022)

Image Scaling Effects on Deep Learning Based Applications. - Irida Shallari; Vincenzo Gallo; Marco Carratu; Mattias O'Nils; Consolatina Liguori; Mazhar Hussain (M&N, 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)

Smart Water Meter. - Vincenzo Gallo; Salvatore Dello Iacono; Marco Carratù; Giuseppe Di Leo; Consolatina Liguori; Antonio Pietrosanto (IEEE DataPort, 2022)

Noise Floor Characterization in Accelerometers for Earthquake Monitoring. - Daniele Buonocore; Marco Carratù; Salvatore Dello Iacono; Vincenzo Gallo; Vincenzo Paciello (I2MTC, 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 (I2MTC, 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 (I2MTC, 2023)

An enhanced Smart Sampling algorithm based on Deep Learning. - Marco Carratù; Salvatore Dello Iacono; Vincenzo Gallo; Vincenzo Paciello; Gustavo Monte; António Espírito-Santo 001 (I2MTC, 2023)

Metrological Characterization of a Clip Fastener assembly fault detection system based on Deep Learning. - Vincenzo Gallo; Irida Shallari; Marco Carratu; Mattias O'Nils (I2MTC, 2023)

The Evaluation of Uncertainty in Measurements Using Artificial Neural Network Techniques. - Marco Carratù; Vincenzo Gallo; Valter Laino; Consolatina Liguori; Vincenzo Paciello; Antonio Pietrosanto (IECON, 2023)

A Survey on Uncertainty Assessment in ANN-Based Measurements. - Marco Carratù; Vincenzo Gallo; Valter Laino; Consolatina Liguori; Antonio Pietrosanto (MetroXRAINE, 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)

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)

Including Measurement Uncertainty to Improve the Reliability of Classification ANN. - Marco Carratù; Vincenzo Gallo; Valter Laino; Consolatina Liguori; Antonio Pietrosanto (I2MTC, 2024)

Cross-Correlation Estimation in Artificial Neural Network for Uncertainty Assessment. - Marco Carratù; Vincenzo Gallo; Valter Laino; Consolatina Liguori; Antonio Pietrosanto; Jan Lundgren (I2MTC, 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 (I2MTC, 2024)

Remaining Useful Life estimation for MEMS-based transducers. - Marco Carratù; Vincenzo Gallo; Paolo Sommella; Antonio Pietrosanto; Marcantonio Catelani; Lorenzo Ciani; Gabriele Patrizi (I2MTC, 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 (I2MTC, 2024)

Earthquake Magnitude Estimation with Single Seismic Station using Deep Learning. - Marco Carratù; Vincenzo Gallo; Valter Laino; Vincenzo Paciello; António Espírito-Santo 001; Irida Shallari (M&N, 2024)

Propagation of Measurement Uncertainty in IMU Orientation Tracking Algorithms. - Daniele Buonocore; Marco Carratù; Vincenzo Gallo; Valter Laino; Antonio Pietrosanto; Paolo Sommella (MetroInd4.0 & IoT, 2024)

Design and Characterization of a Powered Wheelchair Autonomous Guidance System. - Vincenzo Gallo; Irida Shallari; Marco Carratù; Valter Laino; Consolatina Liguori (Sensors, 2024)

Uncertainty-Aware Data Reconstruction in Autoencoders. - Marco Carratù; Vincenzo Gallo; Valter Laino; Consolatina Liguori; Antonio Pietrosanto; Jan Lundgren (I2MTC, 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 (I2MTC, 2025)

Preliminary Study on the Quality of Distributed Calibration Procedures for WSN. - Vincenzo Gallo; Daniele Buonocore; Vincenzo Paciello; Antonio Pietrosanto (I2MTC, 2025)

Addressing Contextual Factors in ArUco Marker-Based Distance Estimation: A Machine Learning Approach. - Seyed Jalaleddin Mousavirad; Vincenzo Gallo; Irida Shallari; Mattias O'Nils (I2MTC, 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 (I2MTC, 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 (I2MTC, 2025)

Deployment of an Anomaly Detection Methodology Based on Generative Adversarial Network. - Marco Carratù; Vincenzo Gallo; Antonio Pietrosanto; Paolo Sommella (MetroAutomotive, 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 (MetroInd4.0 & IoT, 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 (SAS, 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)

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)