Follow
Evdokia Tapoglou
Evdokia Tapoglou
Verified email at ec.europa.eu
Title
Cited by
Cited by
Year
A spatio-temporal hybrid neural network-Kriging model for groundwater level simulation
E Tapoglou, GP Karatzas, IC Trichakis, EA Varouchakis
Journal of hydrology 519, 3193-3203, 2014
932014
Groundwater-level forecasting under climate change scenarios using an artificial neural network trained with particle swarm optimization
E Tapoglou, IC Trichakis, Z Dokou, IK Nikolos, GP Karatzas
Hydrological Sciences Journal 59 (6), 1225-1239, 2014
502014
Integrated use of satellite remote sensing, artificial neural networks, field spectroscopy, and GIS in estimating crucial soil parameters in terms of soil erosion
DD Alexakis, E Tapoglou, AEK Vozinaki, IK Tsanis
Remote Sensing 11 (9), 1106, 2019
282019
Winter North Atlantic Oscillation impact on European precipitation and drought under climate change
I Tsanis, E Tapoglou
Theoretical and Applied Climatology 135 (1), 323-330, 2019
192019
Climate change impact on the frequency of hydrometeorological extremes in the island of crete
E Tapoglou, AE Vozinaki, I Tsanis
Water 11 (3), 587, 2019
152019
Hydrometeorological impact of climate change in two Mediterranean basins
AEK Vozinaki, E Tapoglou, IK Tsanis
International Journal of River Basin Management 16 (2), 245-257, 2018
132018
Hydraulic head uncertainty estimations of a complex artificial intelligence model using multiple methodologies
E Tapoglou, EA Varouchakis, IC Trichakis, GP Karatzas
Journal of Hydroinformatics 22 (1), 205-218, 2020
102020
Hydrodynamic studies of floating structures: Comparison of wave-structure interaction modelling
W Sheng, E Tapoglou, X Ma, CJ Taylor, RM Dorrell, DR Parsons, ...
Ocean Engineering 249, 110878, 2022
82022
Satellite data for the offshore renewable energy sector: synergies and innovation opportunities
E Medina-Lopez, D McMillan, J Lazic, E Hart, S Zen, A Angeloudis, ...
Remote Sensing of Environment 264, 112588, 2021
82021
Machine learning for satellite-based sea-state prediction in an offshore windfarm
E Tapoglou, RM Forster, RM Dorrell, D Parsons
Ocean Engineering 235, 109280, 2021
72021
Comparison of a black-box model to a traditional numerical model for hydraulic head prediction.
E Tapoglou, A Chatzakis, GP Karatzas
Global Nest Journal 18 (4), 761-770, 2016
32016
Groundwater level forecasting using an artificial neural network trained with particle swarm optimization
E Tapoglou, IC Trichakis, Z Dokou, GP Karatzas
Proc. Geophysical Research, 2012
32012
Uncertainty estimations in different components of a hybrid ANN–Fuzzy–Kriging model for water table level simulation
E Tapoglou, EA Varouchakis, GP Karatzas
EPiC Series in Engineering 3, 2042-2050, 2018
22018
Temporal and Spatial prediction of groundwater levels using Artificial Neural Networks, Fuzzy logic and Kriging interpolation.
E Tapoglou, GP Karatzas, IC Trichakis, EA Varouchakis
EGU General Assembly Conference Abstracts, 773, 2014
22014
Time-Domain Implementation and Analyses of Multi-Motion Modes of Floating Structures
W Sheng, E Tapoglou, X Ma, CJ Taylor, R Dorrell, DR Parsons, G Aggidis
Journal of Marine Science and Engineering 10 (5), 662, 2022
12022
North Atlantic Oscillation and Precipitation correlation in Europe under climate change
I Tsanis, E Tapoglou
EGU General Assembly Conference Abstracts, 17431, 2017
12017
Wave forecasting for offshore wind farms using machine learning
E Tapoglou, RM Dorrell, DR Parsons, R Forster
AGU Fall Meeting Abstracts 2020, GC126-13, 2020
2020
Correction: Tapoglou, E., et al. Climate Change Impact on the Frequency of Hydrometeorological Extremes in the Island of Crete. Water 2019, 11, 587
E Tapoglou, AE Vozinaki, I Tsanis
Water 11 (11), 2280, 2019
2019
Erosivity parameters estimation using Artificial Neural Networks and Satellite imageries.
DD Alexakis, E Tapoglou, AEK Vozinaki, IK Tsanis
Geophysical Research Abstracts 21, 2019
2019
The impact of changing climate conditions on the hydrological behavior of several Mediterranean sub-catchments in Crete
A Eirini Vozinaki, E Tapoglou, I Tsanis
EGU General Assembly Conference Abstracts, 17310, 2017
2017
The system can't perform the operation now. Try again later.
Articles 1–20