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A Lightweight Convolutional Neural Network Model for Concrete Damage Classification using Acoustic Emissions.

, , and . SAS, page 1-6. IEEE, (2022)

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A Fully Connectionist Model Generator for Covered First-Order Logic Programs, , , and . Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, page 666--671. Hyderabad, AAAI Press, (January 2007)Connectionist Model Generation: A First-Order Approach, , and . To appear in Neurocomputing, (January 2008)Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems., , , , and . CoRR, (2017)An Apparatus for the Performance Estimation of Pressure Fluctuation Energy Harvesters., , and . IEEE Trans. Instrumentation and Measurement, 67 (11): 2705-2713 (2018)Fluid coupling interfaces for hydraulic pressure energy harvesters., , and . AIM, page 1556-1562. IEEE, (2017)Extracting Propositional Rules from Feedforward Neural Networks by Means of Binary Decision Diagrams.. NeSy, volume 481 of CEUR Workshop Proceedings, CEUR-WS.org, (2009)Guiding Backprop by Inserting Rules., , and . NeSy, volume 366 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)Tiny Machine Learning for Damage Classification in Concrete Using Acoustic Emission Signals., , , and . I2MTC, page 1-6. IEEE, (2023)Automatic Detection of Challenging Behaviour of People with Dementia and Identification of Intervention Strategies - Requirements and Challenges., , , , and . EPS, SciTePress, (2016)A Lightweight Convolutional Neural Network Model for Concrete Damage Classification using Acoustic Emissions., , and . SAS, page 1-6. IEEE, (2022)