M. Bayat

发表

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

Binh Thai Pham, Mahmoud Bayat, Mansour Ghorbanpour, 2019, Comput. Electron. Agric..

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

M. Bayat, C. Bourque, C. Zhang, 2019, European Journal of Forest Research.

Landscape Variation in Tree Species Richness in Northern Iran Forests

M. Bayat, C. Bourque, 2015, PloS one.

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

B. Pham, Indra Prakash, Saro Lee, 2019, Sustainability.

Development of individual tree growth and yield model across multiple contrasting species using nonparametric and parametric methods in the Hyrcanian forests of northern Iran

M. Bayat, A. Weiskittel, A. Fallah, 2020, European Journal of Forest Research.

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

M. Bayat, P. Bettinger, M. Jourgholami, 2020 .

Projection Matrix Models: A Suitable Approach for Predicting Sustainable Growth in Uneven-Aged and Mixed Hyrcanian Forests

M. Bayat, H. Burkhart, Sahar Heidari, 2022, Sustainability.

Development of multiclass alternating decision trees based models for landslide susceptibility mapping

M. Bayat, A. Jaafari, Binh Thai Pham, 2022, Physics and Chemistry of the Earth, Parts A/B/C.

Projected biodiversity in the Hyrcanian Mountain Forest of Iran: an investigation based on two climate scenarios

M. Bayat, C. Bourque, R. Serrano‐Notivoli, 2022, Biodiversity and Conservation.

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

M. Bayat, C. Bourque, Chengfu Zhang, 2019, European Journal of Forest Research.

Ten-year estimation of Oriental beech (Fagus orientalis Lipsky) volume increment in natural forests: a comparison of an artificial neural networks model, multiple linear regression and actual increment

M. Bayat, P. Bettinger, Sahar Heidari, 2021 .

Analysis of plot-level volume increment models developed from machine learning methods applied to an uneven-aged mixed forest

M. Bayat, E. Zenner, A. Fallah, 2021, Annals of Forest Science.

Development of individual tree growth and yield model across multiple contrasting species using nonparametric and parametric methods in the Hyrcanian forests of northern Iran

M. Bayat, A. Weiskittel, A. Fallah, 2021 .

Investigating the Diameter and Height Models of Beech Trees in Uneven Age Forest of Northern Iran (Case study: Forest Farim)

M. Bayat, A. Fallah, Seyedeh Kosar Hamidi, 2021, Ecology of Iranian Forests.

Assessing Biotic and Abiotic Effects on Biodiversity Index Using Machine Learning

M. Bayat, M. Namiranian, H. Burkhart, 2021 .

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

Hossein Moayedi, Binh Thai Pham, Tien-Thinh Le, 2020 .

A Combination of Biotic and Abiotic Factors and Diversity Determine Productivity in Natural Deciduous Forests

M. Bayat, A. Jaafari, P. Bettinger, 2021, Forests.

Investigation some of the Biotic and Abiotic Variables Effective on the Diameter Increment of the Beech Trees at Fixed Sample Plots level by Growth Models

M. Bayat, Seyedeh Kosar Hamidi, Mohammad hossein Sadeghzadeh, 2019, Ecology of Iranian Forests.

Recreation Potential Assessment at Tamarix Forest Reserves: A Method Based on Multicriteria Evaluation Approach and Landscape Metrics

M. Bayat, P. Bettinger, Seyedeh Kosar Hamidi, 2023, Forests.

Comparison between graph theory connectivity indices and landscape connectivity metrics for modeling river water quality in the southern Caspian sea basin.

M. Bayat, P. Bettinger, Bahman Jabbarian Amiri, 2022, Journal of environmental management.

Determining the Forest Volume Growth using Permanent Sample Plots(Case Study: Farim Forest, Jojadeh District)

M. Bayat, A. Fallah, Seyedeh Kosar Hamidi, 2017 .

GNSS use in forestry - A multi-national survey from Iran, Slovakia and southern USA

Julián Tomastík, Pete Bettinger, Mahmoud Bayat, 2019, Comput. Electron. Agric..