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Mahmoud Bayat
Mahmoud Bayat
Professor (Associate), Research Institute of Forests and Rangelands
Zweryfikowany adres z rifr-ac.ir - Strona główna
Tytuł
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Cytowane przez
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A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
D Van Dao, A Jaafari, M Bayat, D Mafi-Gholami, C Qi, H Moayedi, ...
Catena 188, 104451, 2020
3072020
Prediction success of machine learning methods for flash flood susceptibility mapping in the Tafresh watershed, Iran
S Janizadeh, M Avand, A Jaafari, TV Phong, M Bayat, E Ahmadisharaf, ...
Sustainability 11 (19), 5426, 2019
2622019
Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran
M Bayat, M Ghorbanpour, R Zare, A Jaafari, BT Pham
Computers and Electronics in Agriculture 164, 104929, 2019
962019
Productivity and optimal management of the uneven-aged hardwood forests of Hyrcania
M Bayat, T Pukkala, M Namiranian, M Zobeiri
European journal of forest research 132, 851-864, 2013
522013
Estimation of tree heights in an uneven-aged, mixed forest in northern Iran using artificial intelligence and empirical models
M Bayat, P Bettinger, S Heidari, A Henareh Khalyani, M Jourgholami, ...
Forests 11 (3), 324, 2020
412020
An assessment of height–diameter growth variation in an unmanaged Fagus orientalis-dominated forest
CPA Bourque, M Bayat, C Zhang
European Journal of Forest Research 138, 607-621, 2019
402019
Analysis of plot-level volume increment models developed from machine learning methods applied to an uneven-aged mixed forest
SK Hamidi, EK Zenner, M Bayat, A Fallah
Annals of Forest Science 78, 1-16, 2021
372021
Landscape variation in tree species richness in northern Iran forests
CPA Bourque, M Bayat
PloS one 10 (4), e0121172, 2015
352015
Ten-year estimation of Oriental beech (Fagus orientalis Lipsky) volume increment in natural forests: a comparison of an artificial neural networks model, multiple linear …
M Bayat, P Bettinger, M Hassani, S Heidari
Forestry: An International Journal of Forest Research, 2021
312021
Development of individual tree growth and yield model across multiple contrasting species using nonparametric and parametric methods in the Hyrcanian forests of northern Iran
SK Hamidi, A Weiskittel, M Bayat, A Fallah
European Journal of Forest Research, 1-14, 2021
292021
A combination of biotic and abiotic factors and diversity determine productivity in natural deciduous forests
M Bayat, P Bettinger, S Heidari, SK Hamidi, A Jaafari
Forests 12 (11), 1450, 2021
262021
Assessing biotic and abiotic effects on biodiversity index using machine learning
M Bayat, H Burkhart, M Namiranian, SK Hamidi, S Heidari, M Hassani
Forests 12 (4), 461, 2021
262021
GNSS use in forestry–A multi-national survey from Iran, Slovakia and southern USA
P Bettinger, K Merry, M Bayat, J Tomaštík
Computers and Electronics in Agriculture 158, 369-383, 2019
262019
Determining growth increment and density of trees in forest, using permanent sample plots (case study: gorazbon district of kheyroud forest)
M Bayat, M Namiranian, M Zobeiri, J Fathi
Iranian Journal of Forest and Poplar Research 21 (3), 424-438, 2013
262013
A Semi-empirical Approach Based on Genetic Programming for the Study of Biophysical Controls on Diameter-Growth of Fagus orientalis in Northern Iran
M Bayat, P Thanh Noi, R Zare, D Tien Bui
Remote sensing 11 (14), 1680, 2019
222019
Induction of plant defense machinery against nanomaterials exposure
NK Moghadam, M Hatami, S Rezaei, M Bayat, BA Lajayer
Advances in Phytonanotechnology, 241-263, 2019
192019
Volume, height and wood production modeling for beech trees based on volume and tree number in nine years period in Kheyrud forests
M Bayat, M Namiranian, M Zobeiri
Iranian Journal of Natural Resources 67 (3), 423-435, 2014
17*2014
Machine learning for the estimation of diameter increment in mixed and uneven-aged forests
A Salehnasab, M Bayat, M Namiranian, B Khaleghi, M Omid, ...
Sustainability 14 (6), 3386, 2022
162022
Modeling tree growth responses to climate change: a case study in natural deciduous mountain forests
M Bayat, T Knoke, S Heidari, SK Hamidi, H Burkhart, A Jaafari
Forests 13 (11), 1816, 2022
152022
Evaluation and Comparison of Biodiversity Indexes of Tree Species in Hyrcanian Forests (Case Study: Kheyroud, Ramsar and Neka Forests)
Mahmoud Bayat, Sahar Heidari Masteali
Journal of Plant Research (Iranian Journal of Biology), 2020
15*2020
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