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Maria Diamantopoulou
Maria Diamantopoulou
Assistant Professor - School of Forestry and Natural Environment, Aristotle University
Verified email at for.auth.gr
Title
Cited by
Cited by
Year
Artificial neural networks as an alternative tool in pine bark volume estimation
MJ Diamantopoulou
Computers and electronics in agriculture 48 (3), 235-244, 2005
2042005
Estimating tree bole volume using artificial neural network models for four species in Turkey
R Özçelik, MJ Diamantopoulou, JR Brooks, HV Wiant Jr
Journal of environmental management 91 (3), 742-753, 2010
1732010
Estimating Crimean juniper tree height using nonlinear regression and artificial neural network models
R Özçelik, MJ Diamantopoulou, F Crecente-Campo, U Eler
Forest ecology and management 306, 52-60, 2013
1552013
The use of a neural network technique for the prediction of water quality parameters
MJ Diamantopoulou, DM Papamichail, VZ Antonopoulos
Operational Research 5, 115-125, 2005
1452005
Estimation of Weibull function parameters for modelling tree diameter distribution using least squares and artificial neural networks methods
MJ Diamantopoulou, R Özçelik, F Crecente-Campo, Ü Eler
Biosystems Engineering 133, 33-45, 2015
1202015
Modelling total volume of dominant pine trees in reforestations via multivariate analysis and artificial neural network models
MJ Diamantopoulou, E Milios
Biosystems engineering 105 (3), 306-315, 2010
802010
Cascade correlation artificial neural networks for estimating missing monthly values of water quality parameters in rivers
MJ Diamantopoulou, VZ Antonopoulos, DM Papamichail
Water resources management 21, 649-662, 2007
762007
Evaluation of different modeling approaches for total tree-height estimation in Mediterranean Region of Turkey
MJ Diamantopoulou, R Özçelik
Forest Systems 21 (3), 383-397, 2012
622012
Performance evaluation of artificial neural networks in estimating reference evapotranspiration with minimal meteorological data
MJ Diamantopoulou, PE Georgiou, DM Papamichail
Global Nest Journal 13 (1), 18-27, 2011
422011
Artificial neural network models: an alternative approach for reliable aboveground pine tree biomass prediction
R Özçelık, MJ Diamantopoulou, M Eker, N Gürlevık
Forest Science 63 (3), 291-302, 2017
392017
Estimating breast height diameter and volume from stump diameter for three economically important species in Turkey
R Özçelík, JR Brooks, MJ Diamantopoulou, HV Wiant Jr
Scandinavian Journal of Forest Research 25 (1), 32-45, 2010
382010
Tree-bole volume estimation on standing pine trees using cascade correlation artificial neural network models
MJ Diamantopoulou
Agricultural Engineering International: CIGR Journal, 2006
362006
Tree-bark volume prediction via machine learning: A case study based on black alder’s tree-bark production
MJ Diamantopoulou, R Özçelik, H Yavuz
Computers and Electronics in Agriculture 151, 431-440, 2018
342018
Predicting fir trees stem diameters using artificial neural network models
MJ Diamantopoulou
Southern African Forestry Journal 205 (1), 39-44, 2005
342005
Filling gaps in diameter measurements on standing tree boles in the urban forest of Thessaloniki, Greece
MJ Diamantopoulou
Environmental Modelling & Software 25 (12), 1857-1865, 2010
332010
Comparative study of standard and modern methods for estimating tree bole volume of three species in Turkey
R Özçelik, MJ Diamantopoulou, HV Wiant Jr, JR Brooks
Forest products journal 58 (6), 73, 2008
282008
Evaluation of potential modeling approaches for Scots pine stem diameter prediction in north-eastern Turkey
R Özçelik, MJ Diamantopoulou, G Trincado
Computers and electronics in agriculture 162, 773-782, 2019
252019
The use of tree crown variables in over-bark diameter and volume prediction models
R Özçelik, MJ Diamantopoulou, JR Brooks
iForest-Biogeosciences and Forestry 7 (3), 132, 2014
232014
Assessing a reliable modeling approach of features of trees through neural network models for sustainable forests
MJ Diamantopoulou
Sustainable Computing: Informatics and Systems 2 (4), 190-197, 2012
222012
ARTIFICIAL NEURAL NETWORK MODELING FOR REFORESTATION DESIGN THROUGH THE DOMINANT TREES BOLE‐VOLUME ESTIMATION
MJ Diamantopoulou, E Milios, D Doganos, I Bistinas
Natural Resource Modeling 22 (4), 511-543, 2009
202009
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