Luciano Martinez Rau

Publikationer

Artiklar i tidskrifter
Artiklar, forskningsöversikter
Konferensbidrag

Artiklar i tidskrifter

Martinez Rau, L. , Chelotti, J. O. , Ferrero, M. , Galli, J. R. , Utsumi, S. A. , Planisich, A. M. , Rufiner, H. L. & Giovanini, L. L. (2025). A noise-robust acoustic method for recognizing foraging activities of grazing cattle. Computers and Electronics in Agriculture, vol. 229    

Martinez Rau, L. , Chelotti, J. O. , Giovanini, L. L. , Adin, V. , Oelmann, B. & Bader, S. (2024). On-Device Feeding Behavior Analysis of Grazing Cattle. IEEE Transactions on Instrumentation and Measurement, vol. 73  

Martinez Rau, L. S. , Chelotti, J. O. , Ferrero, M. , Utsumi, S. A. , Planisich, A. M. , Vignolo, L. D. , Giovanini, L. L. , Rufiner, H. L. & et al. (2023). Daylong acoustic recordings of grazing and rumination activities in dairy cows. Scientific Data, vol. 10: 1  

Artiklar, forskningsöversikter

Chelotti, J. O. , Martinez Rau, L. , Ferrero, M. , Vignolo, L. D. , Galli, J. R. , Planisich, A. M. , Rufiner, H. L. & Giovanini, L. L. (2024). Livestock feeding behaviour : A review on automated systems for ruminant monitoring. Biosystems Engineering, vol. 246, ss. 150-177.    

Konferensbidrag

Muthumala, U. , Zhang, Y. , Martinez Rau, L. & Bader, S. (2024). Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis. I 2024 IEEE 10th World Forum on Internet of Things (WF-IoT).  

Zhang, Y. , Martinez Rau, L. , Oelmann, B. & Bader, S. (2024). Enabling Autonomous Structural Inspections with Tiny Machine Learning on UAVs. I 2024 IEEE Sensors Applications Symposium, SAS 2024 - Proceedings.  

Martinez Rau, L. , Zhang, Y. , Oelmann, B. & Bader, S. (2024). TinyML Anomaly Detection for Industrial Machines with Periodic Duty Cycles. I 2024 IEEE Sensors Applications Symposium, SAS 2024 - Proceedings.  

Martinez Rau, L. , Adin, V. , Giovanini, L. L. , Oelmann, B. & Bader, S. (2023). Real-Time Acoustic Monitoring of Foraging Behavior of Grazing Cattle Using Low-Power Embedded Devices. I 2023 IEEE Sensors Applications Symposium (SAS).