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Giovanni DE MARINIS
Giovanni DE MARINIS
Verified email at unicas.it
Title
Cited by
Cited by
Year
Machine learning algorithms for the forecasting of wastewater quality indicators
F Granata, S Papirio, G Esposito, R Gargano, G De Marinis
Water 9 (2), 105, 2017
2102017
Support vector regression for rainfall-runoff modeling in urban drainage: A comparison with the EPA’s storm water management model
F Granata, R Gargano, G De Marinis
Water 8 (3), 69, 2016
1802016
Battle of the water networks II
A Marchi, E Salomons, A Ostfeld, Z Kapelan, AR Simpson, AC Zecchin, ...
Journal of water resources planning and management 140 (7), 04014009, 2014
1592014
Hydraulics of circular drop manholes
F Granata, G de Marinis, R Gargano, WH Hager
Journal of Irrigation and Drainage Engineering 137 (2), 102-111, 2011
982011
Artificial intelligence based approaches to evaluate actual evapotranspiration in wetlands
F Granata, R Gargano, G de Marinis
Science of The Total Environment 703, 135653, 2020
812020
Stacked machine learning algorithms and bidirectional long short-term memory networks for multi-step ahead streamflow forecasting: A comparative study
F Granata, F Di Nunno, G de Marinis
Journal of Hydrology 613, 128431, 2022
692022
Hydraulic transients in viscoelastic branched pipelines
S Evangelista, A Leopardi, R Pignatelli, G de Marinis
Journal of Hydraulic Engineering 141 (8), 04015016, 2015
612015
Peak residential water demand
C Tricarico, G De Marinis, R Gargano, A Leopardi
Proceedings of the Institution of Civil Engineers-Water Management 160 (2 …, 2007
582007
Potential of a Quorum Quenching Bacteria Isolate Ochrobactrum intermedium D-2 Against Soft Rot Pathogen Pectobacterium carotovorum subsp. carotovorum
X Fan, T Ye, Q Li, P Bhatt, L Zhang, S Chen
Frontiers in microbiology 11, 898, 2020
532020
Machine learning models for spring discharge forecasting
F Granata, M Saroli, G de Marinis, R Gargano
Geofluids 2018 (1), 8328167, 2018
492018
Probabilistic models for the peak residential water demand
R Gargano, C Tricarico, F Granata, S Santopietro, G De Marinis
Water 9 (6), 417, 2017
452017
Air-water flows in circular drop manholes
F Granata, G de Marinis, R Gargano
Urban Water Journal 12 (6), 477-487, 2015
442015
Forecasting of extreme storm tide events using NARX neural network-based models
F Di Nunno, F Granata, R Gargano, G de Marinis
Atmosphere 12 (4), 512, 2021
412021
Tide prediction in the Venice Lagoon using nonlinear autoregressive exogenous (NARX) neural network
F Di Nunno, G de Marinis, R Gargano, F Granata
Water 13 (9), 1173, 2021
392021
Machine learning methods for wastewater hydraulics
F Granata, G de Marinis
Flow Measurement and Instrumentation 57, 1-9, 2017
382017
Flow-improving elements in circular drop manholes
F Granata, G de Marinis, R Gargano
Journal of Hydraulic Research 52 (3), 347-355, 2014
382014
Prediction of spring flows using nonlinear autoregressive exogenous (NARX) neural network models
F Di Nunno, F Granata, R Gargano, G de Marinis
Environmental Monitoring and Assessment 193 (6), 350, 2021
362021
Illicit intrusion characterization in sewer systems
BK Banik, C Di Cristo, A Leopardi, G de Marinis
Urban water journal 14 (4), 416-426, 2017
342017
A stochastic approach for the water demand of residential end users
R Gargano, F Di Palma, G de Marinis, F Granata, R Greco
Urban Water Journal 13 (6), 569-582, 2016
342016
Creep functions for transients in HDPE pipes
C Apollonio, DIC Covas, G de Marinis, A Leopardi, HM Ramos
Urban Water Journal 11 (2), 160-166, 2014
342014
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