| Bituminous mixtures experimental data modeling using a hyperparameters-optimized machine learning approach M Miani, M Dunnhofer, F Rondinella, E Manthos, J Valentin, C Micheloni, ... Applied Sciences 11 (24), 11710, 2021 | 27 | 2021 |
| A machine learning approach to determine airport asphalt concrete layer moduli using heavy weight deflectometer data N Baldo, M Miani, F Rondinella, C Celauro Sustainability 13 (16), 8831, 2021 | 26 | 2021 |
| Stiffness data of high-modulus asphalt concretes for road pavements: predictive modeling by machine-learning N Baldo, M Miani, F Rondinella, J Valentin, P Vackcová, E Manthos Coatings 12 (1), 54, 2022 | 23 | 2022 |
| Foamed bitumen mixtures for road construction made with 100% waste materials: A laboratory study N Baldo, F Rondinella, F Daneluz, M Pasetto Sustainability 14 (10), 6056, 2022 | 21 | 2022 |
| Road pavement asphalt concretes for thin wearing layers: a machine learning approach towards stiffness modulus and volumetric properties prediction N Baldo, M Miani, F Rondinella, E Manthos, J Valentin Periodica Polytechnica. Civil Engineering 66 (4), 1087-1097, 2022 | 18 | 2022 |
| Volumetric properties and stiffness modulus of asphalt concrete mixtures made with selected quarry fillers: experimental investigation and machine learning prediction F Rondinella, F Daneluz, P Vacková, J Valentin, N Baldo Materials 16 (3), 1017, 2023 | 10 | 2023 |
| Alternative fillers in asphalt concrete mixtures: laboratory investigation and machine learning modeling towards mechanical performance prediction N Tiwari, F Rondinella, N Satyam, N Baldo Materials 16 (2), 807, 2023 | 8 | 2023 |
| Laboratory investigation and machine learning modeling of road pavement asphalt mixtures prepared with construction and demolition waste and rap F Rondinella, C Oreto, F Abbondati, N Baldo Sustainability 15 (23), 16337, 2023 | 7 | 2023 |
| Improved predictions of asphalt concretes’ dynamic modulus and phase angle using decision-tree based categorical boosting model F Rondinella, F Daneluz, B Hofko, N Baldo Construction and Building Materials 400, 132709, 2023 | 7 | 2023 |
| Experimental and Machine Learning Approach to Investigate the Mechanical Performance of Asphalt Mixtures with Silica Fume Filler N Tiwari, F Rondinella, N Satyam, N Baldo Applied Sciences 13 (11), 6664, 2023 | 5 | 2023 |
| Stiffness Moduli Modelling and Prediction in Four-Point Bending of Asphalt Mixtures: A Machine Learning-Based Framework N Baldo, F Rondinella, F Daneluz, P Vacková, J Valentin, MD Gajewski, ... CivilEng 4 (4), 1083-1097, 2023 | 4 | 2023 |
| Artificial neural network prediction of airport pavement moduli using interpolated surface deflection data N Baldo, M Miani, F Rondinella, C Celauro IOP Conference Series: Materials Science and Engineering 1203 (2), 022112, 2021 | 4 | 2021 |
| Recycling of Waste Materials Using Bitumen Emulsion for Road Pavement Stabilized Base Courses: a Laboratory Investigation N Baldo, M Miani, F Rondinella, M Pasetto IOP Conference Series: Materials Science and Engineering 1203 (2), 022111, 2021 | 3 | 2021 |
| Prediction of Airport Pavement Moduli by Machine Learning Methodology Using Non-destructive Field Testing Data Augmentation N Baldo, F Rondinella, C Celauro International Conference on Trends on Construction in the Post-Digital Era …, 2022 | 2 | 2022 |
| Performance Prediction of Fine-Grained Asphalt Concretes with Different Quarry Fillers by Machine Learning Approaches N Baldo, M Miani, F Rondinella, P Vacková, J Valentin IOP Conference Series: Materials Science and Engineering 1203 (2), 022113, 2021 | 2 | 2021 |
| A Deep Neural Network Approach towards Performance Prediction of Bituminous Mixtures Produced Using Secondary Raw Materials F Rondinella, C Oreto, F Abbondati, N Baldo Coatings 14 (8), 922, 2024 | 1 | 2024 |
| Predicting volumetric properties and mechanical characteristics of asphalt concretes for thin wearing layers using a categorical boosting model N Baldo, F Rondinella, F Daneluz, J Valentin, P Vacková, E Manthos Bituminous Mixtures and Pavements VIII, 919-927, 2024 | | 2024 |
| Asphalt mixtures' stiffness modulus prediction using a machine-learning approach based on temperature and frequency conditions N Baldo, F Rondinella, F Daneluz, J Valentin, P Vacková, JB Król, ... Bituminous Mixtures and Pavements VIII, 910-918, 2024 | | 2024 |
| Approcci Machine Learning per la modellazione del comportamento fisico-meccanico di miscele bituminose per infrastrutture viarie F Rondinella Università degli Studi di Trieste, 2024 | | 2024 |
| Artificial neural network approach to predict asphalt mixtures’ stiffness modulus based on testing frequency and temperature N Baldo, F Rondinella, J Valentin, J Król, MD Gajewski MATEC Web of Conferences 396, 2024 | | 2024 |
Evangelos ManthosAssoc. Professor, Aristotle Univeristy of Thessalonikicivil.auth.gr의 이메일 확인됨