Publications

Personal academic and research portfolio. Exploring Machine Learning for environmental science and digital accessibility.


Publications

Here you can find a list of my peer-reviewed publications. For the most up-to-date list, please refer to my Google Scholar profile.


Journal Articles

  1. Machine learning for the estimation of cod from uv-vis spectrometer in leather industries wastewater. (2023)
    Cardia, M., Chessa, S., Franceschi, M., Gambineri, F., & Micheli, A.
    International Journal of Environmental Pollution and Remediation, 11, 10-19.

Conference Proceedings

  1. Water quality estimation through machine learning multivariate analysis. (2024)
    Cardia, M., Chessa, S., Micheli, A., Luminare, A. G., & Gambineri, F.
    In 34th Italian Workshop on Neural Nets (WIRN 2024), Springer.

  2. Hybrid cnn-mlp for wastewater quality estimation. (2024)
    Cardia, M., Chessa, S., Micheli, A., Luminare, A. G., & Gambineri, F.
    In International Conference on Artificial Neural Networks (pp. 198-212), Springer.

  3. Wastewater quality indicator estimation using machine learning and data augmentation techniques. (2024)
    Cardia, M., Chessa, S., Micheli, A., Luminare, A. G., & Gambineri, F.
    In International conference on soft computing models in industrial and environmental applications (pp. 47–57).

  4. Multitarget wastewater quality assessment in a smart industry context. (2024)
    Cardia, M., Chessa, S., Micheli, A., Luminare, A. G., Franceschi, M., & Gambineri, F.
    In 20th International Conference on Intelligent Environments (IE), IEEE.

  5. Estimation of cod from uv-vis spectrometer exploiting machine learning in leather industries wastewater. (2023)
    Cardia, M., Chessa, S., Franceschi, M., Gambineri, F., & Micheli, A.
    In Proceedings of the 8th world congress on civil, structural, and environmental engineering.

  6. Enhancing crowd flow prediction in various spatial and temporal granularities. (2022)
    Cardia, M., Luca, M., & Pappalardo, L.
    In Companion proceedings of the web conference 2022 (pp. 1251-1259).