BODINI, MATTEO
BODINI, MATTEO
Dipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti
Hybrid evolutionary machine learning framework optimizing biochar production in biomass pyrolysis
2026 D. Campos, R. Ervilha, M. Bodini, C.M. Saporetti, L. Goliatt
Characterizing decision optimization strategies for managing climate change impacts on aquatic ecosystems and public health in Asia
2026 M.A.A.M. Hridoy, C. Bordin, M.S. Islam, M. Bodini, A.O. Baki, S.M.S. Islam, N. Bohora, M.M. Reza, M.F. Jamee, D.H.A. Mostakim, R. Islam, A. Masood, G.S. David, L. Goliatt
Wastewater-based epidemiology of hazardous organics: Multi-biomarker insights and intelligent monitoring technologies
2026 M.A.A.M. Hridoy, P. Pastorino, C. Bordin, M. Bodini, M.F. Jamee, A. Farabi, S. Rahman, F. Yeamim, P. Schneider
Automated machine learning for bio-oil yield prediction from lignocellulosic biomass pyrolysis
2026 D. Campos, R. Ervilha, B. Da Silva Macêdo, M. Bodini, C.M. Saporetti, L. Goliatt
Heterogeneous stacking strategy for modeling flowing bottom-hole pressure of oil wells
2026 D. Campos, B. Da Silva Macêdo, O.I. Ogali, M. Bodini, D.A. Martyushev, F.A.K. Al-Fahaidy, C.M. Saporetti, L. Goliatt
Decision optimization for inorganic contaminants in water systems using ecological informatics for sustainable management
2026 M.A.A.M. Hridoy, P.S. Sagor, P. Akter, M.H. Islam, C. Bordin, S.M.S. Islam, N.T. Dristi, A. Hosen, M.A. Lima, M.M. Pathan, M.M. Jalal, A. Bhuiyan, P. Schneider, M. Bodini, P. Ditthakit
Operational agricultural water management in river-based aquaculture: a machine-learning approach to predict dissolved oxygen in the Halda River, Bangladesh
2026 M.A.A.M. Hridoy, P. Pastorino, C. Bordin, M. Bodini, N. Dhar, P. Schneider, L. Goliatt, P. Ditthakit, B. Da Silva Macêdo, K.N.A. Maulud
A Multi-Objective Optimization Framework for Energy-Efficient Social Housing in Brazil: Balancing Construction Cost and Thermal Comfort Across Diverse Bioclimatic Zones
2026 R.P. Alves, E.A. Silva, W.M. Pereira, M.C. Lima, E.C.R. Paiva, E.L.A.D. Guarda, M. Bodini, L. Goliatt
Operational early-warning forecasts of aquaculture water quality: Interpretable ML for TDS under walk-forward validation
2026 M.A.A.M. Hridoy, M. Bodini, M.R. Mahin, P. Schneider, P. Pastorino, C. Bordin, M.A. Al Mamun, L. Goliatt
A comparative study of ensemble and non-ensemble machine learning methods for predicting river pollution index
2026 L.S.R. Nogueira, M.A.S. De Carvalho, B.D.O. Santos, R. Yonaba, A. Bamal, M.G. Uddin, M. Bodini, L. Goliatt
Integrating advanced deep learning with ecological indicators for accurate prediction of harmful algal bloom occurrence and intensity
2026 M.A.A.M. Hridoy, P. Schneider, C. Bordin, M. Bodini, A.I. Shawkat, K.N.A. Maulud, M.A.A. Mamun, P. Pastorino
Explainable soft-sensing of dissolved oxygen in a multi-station aquatic monitoring network using ensemble machine learning and neural networks
2026 M.A.A.M. Hridoy, M. Bodini, C. Bordin, K.M.A. Adnan, M.S. Rahman, A.I. Shawkat, P. Ditthakit, P. Schneider, A. Masood, M.A. Al Mamun, P. Pastorino, L. Goliatt
Decision optimization for sustainable water disinfection: Computational modelling of DBP risk, efficacy, and energy trade-offs
2026 M.A.A. Mamun Hridoy, P. Akter, M.R. Acharjee, T. Khanam, T.R. Mim, S. Islam, A. Hossain, R. Bhatta, M.I. Hossain, M.P. Rahaman Shihab, Y. Hossain, S. Shahriyar, M. Bodini, C. Bordin
Automated machine learning achieves accurate water quality prediction with reduced parameter requirements
2026 D. Campos, V. Galvão, M.L. De Rezende, A. Braga, M. Bodini, U.R.V. Aires, R. Yonaba, L. Goliatt
A computational optimization approach to reduce emissions and fuel costs in waste collection services
2026 S.C. De Souza Soares, V.F. Reis, M. Bodini, N.O. Nikitin, C.M. Saporetti, L. Goliatt
An Agglomerative Clustering Combined with an Unsupervised Feature Selection Approach for Structural Health Monitoring
2025 T. Boratto, H.S. Bernardino, A.B. Vieira, T.S. Gontijo, M. Bodini, D.A. Martyushev, C.M. Saporetti, A. Cury, F. Barbosa, L. Goliatt
Machine Learning with Evolutionary Parameter Tuning for Singing Registers Classification
2025 T. Boratto, G.D.O. Costa, A. Meireles, A.K.S.T.R. Alves, C.M. Saporetti, M. Bodini, A. Cury, L. Goliatt
Convolutional neural networks with transfer learning for natural river flow prediction in ungauged basins
2025 H. Echternacht, L. Campos, A.D. De Martinho, D.P.M.D. Souza, R.B. De Santis, T.S. Gontijo, M. Bodini, A. Gorgoglione, C.M. Saporetti, L. Goliatt
Bayesian optimization-guided machine learning models for bio-oil yield prediction from lignocellulosic biomass pyrolysis
2025 R. Ervilha, D. Campos, B. Da Silva Macêdo, D.A. Bertuol, E.H. Tanabe, Z.M. Yaseen, M. Bodini, C.M. Saporetti, L. Goliatt
Assessment of AutoML frameworks for predicting compressive and flexural strength of recycled aggregate concrete
2025 D. Campos, B. Da Silva Macêdo, Z. Al-Khafaji, M.A. Bozkurt, İ.E. Kayral, T.S. Gontijo, M. Bodini, C.M. Saporetti, L. Goliatt