Estimation of Tree Heights in an Uneven-Aged, Mixed Forest in Northern Iran Using Artificial Intelligence and Empirical Models

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

(2020) Dong Van Dao et al.   CATENA

Individual Tree Diameter Growth Models of Larch–Spruce–Fir Mixed Forests Based on Machine Learning Algorithms

(2019) Qiangxin Ou et al.   Forests

Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability

(2019) Abolfazl Jaafari et al.   AGRICULTURAL AND FOREST METEOROLOGY

An assessment of height–diameter growth variation in an unmanaged Fagus orientalis-dominated forest

(2019) Charles P.-A. Bourque et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

Height-diameter relationship for Pinus koraiensis in Mengjiagang Forest Farm of Northeast China using nonlinear regressions and artificial neural network models

(2019) Tuan Nguyen Thanh et al.   Journal of Forest Science

A Semi-empirical Approach Based on Genetic Programming for the Study of Biophysical Controls on Diameter-Growth of Fagus orientalis in Northern Iran

(2019) Bayat et al.   Remote Sensing

Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran

(2019) Mahmoud Bayat et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimation of DBH at Forest Stand Level Based on Multi-Parameters and Generalized Regression Neural Network

(2019) Zhou et al.   Forests

Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran

(2019) Saeid Janizadeh et al.   Sustainability

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

(2019) Wei Chen et al.   Applied Sciences-Basel

Prognoses of diameter and height of trees of eucalyptus using artificial intelligence

(2018) Giovanni Correia Vieira et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Machine Learning Approaches for Estimating Forest Stand Height Using Plot-Based Observations and Airborne LiDAR Data

(2018) Junghee Lee et al.   Forests

Land use change modeling through an integrated Multi-Layer Perceptron Neural Network and Markov Chain analysis (case study: Arasbaran region, Iran)

(2018) Vahid Nasiri et al.   JOURNAL OF FORESTRY RESEARCH

Exploratory analysis of structural diversity indicators at stand level in three Italian beech sites and implications for sustainable forest management

(2018) Giada Bertini et al.   JOURNAL OF FORESTRY RESEARCH

Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility

(2018) Wei Chen et al.   CATENA

A Levenberg–Marquardt Backpropagation Neural Network for Predicting Forest Growing Stock Based on the Least-Squares Equation Fitting Parameters

(2018) Ruyi Zhou et al.   Forests

Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components

(2018) L. Benali et al.   RENEWABLE ENERGY

Modeling height-diameter curves for prediction

(2015) Lauri Mehtätalo et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Subject-Specific Prediction Using a Nonlinear Mixed Model: Consequences of Different Approaches

(2015) Seija Sirkiä et al.   FOREST SCIENCE

Application of adaptive neuro-fuzzy interference system models for prediction of forest fires in the usa on the basis of solar activity

(2015) Milan Radovanovic et al.   Thermal Science

Landscape Variation in Tree Species Richness in Northern Iran Forests

(2015) Charles P.-A. Bourque et al.   PLoS One

Productivity and optimal management of the uneven-aged hardwood forests of Hyrcania

(2013) Mohmoud Bayat et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

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

(2013) Ramazan Özçelik et al.   FOREST ECOLOGY AND MANAGEMENT

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

(2012) M. J. Diamantopoulou et al.   Forest Systems

Nonlinear fixed and random generalized height–diameter models for Portuguese cork oak stands

(2011) Joana Amaral Paulo et al.   ANNALS OF FOREST SCIENCE

Recursive diameter prediction and volume calculation of eucalyptus trees using Multilayer Perceptron Networks

(2011) Fabrízzio Alphonsus A.M.N. Soares et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimation of inside-bark diameter and heartwood diameter for Tectona grandis Linn. trees using artificial neural networks

(2010) Helio Garcia Leite et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

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

(2009) Ramazan Özçelik et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Statistical geometry based prediction of nonsynonymous SNP functional effects using random forest and neuro-fuzzy classifiers

(2008) Maxim Barenboim et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS