| Neural Networks with R G Ciaburro Packt Publishing, 2017 | 310 | 2017 |
| Fault diagnosis for UAV blades using artificial neural network G Iannace, G Ciaburro, A Trematerra Robotics 8 (3), 59, 2019 | 175 | 2019 |
| Modelling the soundscape quality of urban waterfronts by artificial neural networks VP Romero, L Maffei, G Brambilla, G Ciaburro Applied Acoustics 111, 121-128, 2016 | 86 | 2016 |
| MATLAB for Machine Learning G Ciaburro Packt Publishing, 2017 | 84 | 2017 |
| Improving smart cities safety using sound events detection based on deep neural network algorithms G Ciaburro, G Iannace Informatics 7 (3), 23, 2020 | 76 | 2020 |
| Membrane-type acoustic metamaterial using cork sheets and attached masses based on reused materials G Ciaburro, G Iannace Applied Acoustics 189, 108605, 2022 | 70 | 2022 |
| Machine-learning-based methods for acoustic emission testing: A review G Ciaburro, G Iannace Applied Sciences 12 (20), 10476, 2022 | 69 | 2022 |
| Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale G Ciaburro Packt Publishing Ltd, 2018 | 69 | 2018 |
| Modelling sound absorption properties of broom fibers using artificial neural networks G Iannace, G Ciaburro, A Trematerra Applied Acoustics 163, 107239, 2020 | 65 | 2020 |
| Wind turbine noise prediction using random forest regression G Iannace, G Ciaburro, A Trematerra Machines 7 (4), 69, 2019 | 64 | 2019 |
| Artificial neural network-based models for predicting the sound absorption coefficient of electrospun poly (vinyl pyrrolidone)/silica composite G Ciaburro, G Iannace, J Passaro, A Bifulco, AD Marano, M Guida, ... Applied Acoustics 169, 107472, 2020 | 57 | 2020 |
| Machine fault detection methods based on machine learning algorithms: A review G Ciaburro Mathematical Biosciences and Engineering 19 (11), 11453-11490, 2022 | 49 | 2022 |
| Heating, ventilation, and air conditioning (HVAC) noise detection in open-plan offices using recursive partitioning G Iannace, G Ciaburro, A Trematerra Buildings 8 (12), 169, 2018 | 46 | 2018 |
| Metamaterials acoustic barrier G Iannace, G Ciaburro, A Trematerra Applied Acoustics 181, 108172, 2021 | 45 | 2021 |
| Modeling acoustic metamaterials based on reused buttons using data fitting with neural network G Ciaburro, G Iannace The Journal of the Acoustical Society of America 150 (1), 51-63, 2021 | 44 | 2021 |
| Hands-On Machine Learning on Google Cloud Platform G Ciaburro, K Ayyadevara, A Perrier Packt Publishing, 2018 | 44 | 2018 |
| Machine learning-based algorithms to knowledge extraction from time series data: A review G Ciaburro, G Iannace Data 6 (6), 55, 2021 | 42 | 2021 |
| Sound event detection in underground parking garage using convolutional neural network G Ciaburro Big Data and Cognitive Computing 4 (3), 20, 2020 | 41 | 2020 |
| Acoustic, Visual and Spatial Indicators for the Description of the Soundscape of Waterfront Areas with and without Road Traffic Flow V Puyana Romero, L Maffei, G Brambilla, G Ciaburro International Journal of Environmental Research and Public Health 13 (9), 934, 2016 | 41 | 2016 |
| An artificial neural network approach to modelling absorbent asphalts acoustic properties G Ciaburro, G Iannace, M Ali, A Alabdulkarem, A Nuhait Journal of King Saud University-Engineering Sciences 33 (4), 213-220, 2021 | 40 | 2021 |
Amelia TrematerraIndipendent researcherبريد إلكتروني تم التحقق منه على unicampania.it