M. Carratú

Image Processing Technique for Improving the Sensitivity of Mechanical Register Water Meters to Very Small Leaks

C. Liguori, A. Pietrosanto, G. Di Leo, 2021, Sensors.

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

C. Liguori, A. Pietrosanto, G. Di Leo, 2022, 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

Skin Cancer Classification based on Cosine Cyclical Learning Rate with Deep Learning

P. Sommella, M. O’Nils, M. Carratú, 2022, 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

Development of a new speed measurement technique based on deep learning

C. Liguori, V. Paciello, M. Carratú, 2022, 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

Recent Advances in Diagnosis of Skin Lesions Using Dermoscopic Images Based on Deep Learning

P. Sommella, M. Carratú, J. Lundgren, 2022, IEEE Access.

A Sound Level Meter featured with automatic estimation of the measurement uncertainty

C. Liguori, A. Pietrosanto, P. Sommella, 2021, Measurement.

Selection of optimal parameters to predict fuel consumption of city buses using data fusion

M. Carratú, J. Lundgren, M. O'nils, 2022, 2022 IEEE Sensors Applications Symposium (SAS).

Stress Testing for Performance Analysis of Orientation Estimation Algorithms

A. Pietrosanto, G. Betta, P. Sommella, 2022, IEEE Transactions on Instrumentation and Measurement.

A Deep CNN Transformer Hybrid Model for Skin Lesion Classification of Dermoscopic Images Using Focal Loss

P. Sommella, M. Carratú, J. Lundgren, 2022, Diagnostics.

Benefits of enhanced techniques combining negentropy, spectral correlation and kurtogram for bearing fault diagnosis

Vincenzo Paciello, Consolatina Liguori, Moise Avoci Ugwiri, 2021 .