M. Diamantopoulou

发表

ARTIFICIAL NEURAL NETWORK MODELING FOR REFORESTATION DESIGN THROUGH THE DOMINANT TREES BOLE‐VOLUME ESTIMATION

M. Diamantopoulou, E. Milios, Dimitrios Doganos, 2009 .

Cascade Correlation Artificial Neural Networks for Estimating Missing Monthly Values of Water Quality Parameters in Rivers

D. Papamichail, V. Antonopoulos, M. Diamantopoulou, 2007 .

Modeling plant density and ponding water effects on flooded rice evapotranspiration and crop coefficients: critical discussion about the concepts used in current methods

D. Papamichail, V. Aschonitis, M. Diamantopoulou, 2018, Theoretical and Applied Climatology.

3D Plate‐Lattices: An Emerging Class of Low‐Density Metamaterial Exhibiting Optimal Isotropic Stiffness

Dirk Mohr, Maysam B Gorji, T. Tancogne-Dejean, 2018, Advanced materials.

The use of tree crown variables in over-bark diameter and volume prediction models

Maria J. Diamantopoulou, Ramazan Özçelik, M. Diamantopoulou, 2014 .

Estimating Crimean juniper tree height using nonlinear regression and artificial neural network models

Maria J. Diamantopoulou, Ramazan Özçelik, Felipe Crecente-Campo, 2013 .

Estimating tree bole volume using artificial neural network models for four species in Turkey.

M. Diamantopoulou, R. Ozçelik, H. Wiant, 2010, Journal of environmental management.

Performance of neural network models with Kalman Learning Rule for flow routing in a river system

P. Georgiou, M. Diamantopoulou, D. Papamichail, 2007 .

Evaluation of different modeling approaches for total tree-height estimation in Mediterranean Region of Turkey

M. Diamantopoulou, R. Özçelik, M. Diamantopoulou, 2012 .

Daily Reservoir Inflow Forecasting Using Time Delay Artificial Neural Network Models

M. Diamantopoulou, 2006 .

Estimating breast height diameter and volume from stump diameter for three economically important species in Turkey

M. Diamantopoulou, R. Özçelik, H. Wiant, 2010 .

Characterization of Vertically Aligned Carbon Nanotube Forests Grown on Stainless Steel Surfaces

M. Serra-Garcia, C. Daraio, M. Diamantopoulou, 2018, Nanomaterials.

Comparative study of standard and modern methods for estimating tree bole volume of three species in Turkey

M. Diamantopoulou, R. Özçelik, H. Wiant, 2008 .

Investigation of parametric and artificial neural network modeling approaches for total tree height prediction in cedar plantations

M. Diamantopoulou, R. Özçelik, Y. Karatepe, 2020 .

Artificial Neural Network Models: An Alternative Approach for Reliable Aboveground Pine Tree Biomass Prediction

Maria J. Diamantopoulou, Ramazan Özçelik, Nevzat Gürlevik, 2017 .

Predicting fir trees stem diameters using Artificial Neural Network models

Maria J. Diamantopoulou, M. Diamantopoulou, 2005 .

Simulation of over-bark tree bole diameters, through the RFr (Random Forest Regression) algorithm

M. Diamantopoulou, 2022, Folia Oecologica.

Modelling total volume of dominant pine trees in reforestations via multivariate analysis and artificial neural network models

Maria J. Diamantopoulou, Elias Milios, M. Diamantopoulou, 2010 .

Artificial neural networks as an alternative tool in pine bark volume estimation

Maria J. Diamantopoulou, M. Diamantopoulou, 2005 .

Stress-strain Response of Polymers Made Through Two-photon Lithography: Micro-scale Experiments and Neural Network Modeling

D. Mohr, M. Diamantopoulou, N. Karathanasopoulos, 2021, Additive Manufacturing.

Tree-bark volume prediction via machine learning: A case study based on black alder's tree-bark production

Maria J. Diamantopoulou, Ramazan Özçelik, Hakki Yavuz, 2018, Comput. Electron. Agric..

Estimation of Weibull function parameters for modelling tree diameter distribution using least squares and artificial neural networks methods

Maria J. Diamantopoulou, Ramazan Özçelik, Felipe Crecente-Campo, 2015 .

High Strain Rate Response of Additively-Manufactured Plate-Lattices: Experiments and Modeling

T. Tancogne-Dejean, D. Mohr, C. Roth, 2019, Journal of Dynamic Behavior of Materials.

Tree-Bole Volume Estimation on Standing Pine Trees Using Cascade Correlation Artificial Neural Network Models

M. J Diamantopoulou, M. Diamantopoulou, 2006 .

Evaluation of potential modeling approaches for Scots pine stem diameter prediction in north-eastern Turkey

Maria J. Diamantopoulou, Ramazan Özçelik, Guillermo Trincado, 2019, Comput. Electron. Agric..

Employing artificial neural network for effective biomass prediction: An alternative approach

K. Poudel, M. Diamantopoulou, R. Özçelik, 2022, Comput. Electron. Agric..

Double-wall ceramic nanolattices: Increased stiffness and recoverability by design

T. Tancogne-Dejean, D. Mohr, J. Wheeler, 2021 .

Estimation of the local and long-range contributions to particulate matter levels using continuous measurements in a single urban background site

S. Pandis, M. Diamantopoulou, K. Skyllakou, 2016 .

Ceramic/polymer microlattices: Increasing specific energy absorption through sandwich construction

T. Tancogne-Dejean, D. Mohr, C. Roth, 2022, Extreme Mechanics Letters.

The use of a neural network technique for the prediction of water quality parameters of Axios river in Northern Greece

M. Diamantopoulou, D. Papamichail, V. Antonopoulos, 2004 .

Diameter distributions in Pinus sylvestris L. stands: evaluating modelling approaches including a machine learning technique

M. Diamantopoulou, R. Özçelik, Ş. T. Güner, 2023, Journal of Forestry Research.

Exploration of big-BAF Sampling Potential for Volume Estimation in Abies borisii-regis Matff. Forest Stands

M. Diamantopoulou, Aristeidis Georgakis, 2023, Operations Research Forum.

Assessing a reliable modeling approach of features of trees through neural network models for sustainable forests

Maria J. Diamantopoulou, M. Diamantopoulou, 2012, Sustain. Comput. Informatics Syst..

Artificial intelligence as an alternative modelling strategy for reliable height-diameter predictions of mixed-oaks species

M. Diamantopoulou, R. Özçelik, Onur Alkan, 2023, Turkish Journal of Agriculture and Forestry.