Machine Learning Methods for Pipeline Surveillance Systems Based on Distributed Acoustic Sensing: A Review
Tejedor, J.; Macias-Guarasa, J.; Martins, H.F.; Pastor-Graells, J.; Corredera, P.; Martin-Lopez, S. Machine Learning Methods for Pipeline Surveillance Systems Based on Distributed Acoustic Sensing: A Review. Appl. Sci. 2017, 7, 841. https://doi.org/10.3390/app7080841
Tejedor J, Macias-Guarasa J, Martins HF, Pastor-Graells J, Corredera P, Martin-Lopez S. Machine Learning Methods for Pipeline Surveillance Systems Based on Distributed Acoustic Sensing: A Review. Applied Sciences. 2017; 7(8):841. https://doi.org/10.3390/app7080841
Chicago/Turabian StyleTejedor, Javier, Javier Macias-Guarasa, Hugo F. Martins, Juan Pastor-Graells, Pedro Corredera, and Sonia Martin-Lopez. 2017. "Machine Learning Methods for Pipeline Surveillance Systems Based on Distributed Acoustic Sensing: A Review" Applied Sciences 7, no. 8: 841. https://doi.org/10.3390/app7080841