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Tiny Machine Learning for Damage Classification in Concrete Using Acoustic Emission Signals.

, , , and . I2MTC, page 1-6. IEEE, (2023)

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Perspectives of Neural-Symbolic Integration, , , and . volume 77 of Studies in Computational Intelligence, chapter The Core Method: Connectionist Model Generation for First-Order Logic Programs, page 205--232. Springer, (2007)Short-term energy storage for wireless sensor networks using solar energy harvesting., and . ICNSC, page 71-76. IEEE, (2013)Automatic Generation of Personalised and Context-Dependent Textual Interventions During Neuro-rehabilitation., , and . Künstliche Intell., 36 (2): 189-193 (2022)Force Transmission Interfaces for Pressure Fluctuation Energy Harvesters., , and . IECON, page 4230-4235. IEEE, (2018)Self-powered RPM Sensor using a Single-Anchor Variable Reluctance Energy Harvester with Pendulum Effects., , and . ENSsys@SenSys, page 72-78. ACM, (2023)Performance of An Electromagnetic Energy Harvester with Linear and Nonlinear Springs under Real Vibrations., , and . Sensors, 20 (19): 5456 (2020)A Virtual Research Environment to Support Remote Behaviour Monitoring from Data Collection to Analysis., , , and . ICDM Workshops, page 711-718. IEEE Computer Society, (2017)Tool support for the online annotation of sensor data., , , and . iWOAR, page 9:1-9:7. ACM, (2016)A Comparison of One- and Two-Diode Model Parameters at Indoor Illumination Levels., , and . IEEE Access, (2020)Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease., , , , , , , , , and 30 other author(s). CoRR, (2020)