K. Ahmadi

发表

Head-cut gully erosion susceptibility modelling based on ensemble Random Forest with oblique decision trees in Fareghan watershed, Iran

Duong Tran Anh, A. Cerda, Q. Pham, 2020 .

Assessing the dominant height of oriental beech (Fagus orientalis L.) in relation to edaphic and physiographic variables in the Hyrcanian Forests of Iran

C. Dormann, K. Ahmadi, J. Serra‐Diaz, 2020, BASE.

The response of English yew (Taxus baccata L.) to climate change in the Caspian Hyrcanian Mixed Forest ecoregion

S. Hosseini, K. Ahmadi, M. Tabari, 2019, Regional Environmental Change.

Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping

Seyed Amir Naghibi, S. Naghibi, K. Ahmadi, 2017, Water Resources Management.

How to assess sustainability of suppliers in volume discount context? A new data envelopment analysis approach

R. Saen, K. Ahmadi, M. Izadikhah, 2017 .

Non-linear height-diameter models for oriental beech (Fagus orientalis Lipsky) in the Hyrcanian forests, Iran

Kourosh Ahmadi, Wim Aertsen, Seyed Jalil Alavi, 2013 .

How to use fuzzy screening system and data envelopment analysis for clustering sustainable suppliers? A case study in Iran

Mohammad Izadikhah, Reza Farzipoor Saen, Reza Farzipoor Saen, 2020, J. Enterp. Inf. Manag..

The potential impact of future climate on the distribution of European yew (Taxus baccata L.) in the Hyrcanian Forest region (Iran)

S. Hosseini, K. Ahmadi, J. Svenning, 2020, International Journal of Biometeorology.

Patterns of density and structure of natural populations of Taxus baccata in the Hyrcanian forests of Iran

K. Ahmadi, J. Svenning, J. Serra‐Diaz, 2020 .

Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm

Duong Tran Anh, N. T. Linh, Saeid Janizadeh, 2022, Appl. Soft Comput..

Improving species distribution models for dominant trees in climate data-poor forests using high-resolution remote sensing

S. Pal, K. Ahmadi, A. Saha, 2023, Ecological Modelling.

Elevational shift of endangered European yew under climate change in Hyrcanian mountain forests: Rethinking conservation-restoration strategies and management

B. Heung, K. Ahmadi, M. Heydari, 2023, Forest Ecology and Management.

Predicting landslide susceptibility based on decision tree machine learning models under climate and land use changes

Quoc Bao Pham, Duong Tran Anh, Asish Saha, 2021, Geocarto International.

The current and future potential geographical distribution of Nepeta crispa Willd., an endemic, rare and threatened aromatic plant of Iran: Implications for ecological conservation and restoration

Nabaz R. Khwarahm, Amir Mosavi, K. Ahmadi, 2022, Ecological Indicators.

Groundwater potential mapping using a novel data-mining ensemble model

Bahareh Kalantar, Biswajeet Pradhan, Hossein Hashemi, 2018, Hydrogeology Journal.

Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future.

A. Mosavi, Saeid Janizadeh, K. Ahmadi, 2021, Journal of environmental management.

Flood susceptibility modeling based on new hybrid intelligence model: Optimization of XGboost model using GA metaheuristic algorithm

Duong Tran Anh, A. Norouzi, Saeid Janizadeh, 2022, Advances in Space Research.

Prediction of groundwater nitrate concentration in a semiarid region using hybrid Bayesian artificial intelligence approaches

Duong Tran Anh, Q. Pham, Kaustuv Mukherjee, 2021, Environmental Science and Pollution Research.

Modeling Climate Change Effects on the Distribution of Oak Forests with Machine Learning

K. Ahmadi, M. Heydari, Omid Karami, 2023, Forests.

Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia

Naonori Ueda, Bahareh Kalantar, Saeid Janizadeh, 2021, Remote. Sens..

Above- and below-ground biomass and carbon stocks of different tree plantations in central Iran

K. Ahmadi, H. Sohrabi, Siavash Bakhtiarvand-Bakhtiari, 2016, Journal of Arid Land.

Constructing site quality curves and productivity assessment for uneven-aged and mixed stands of oriental beech (Fagus oriental Lipsky) in Hyrcanian forest, Iran

K. Ahmadi, S. J. Alavi, M. Kouchaksaraei, 2017 .

Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data

Bahareh Kalantar, Saeid Janizadeh, Mohammed Oludare Idrees, 2020, Remote. Sens..

Application of novel deep boosting framework-based earthquake induced landslide hazards prediction approach in Sikkim Himalaya

S. Pal, Rabin Chakrabortty, Saeid Janizadeh, 2022, Geocarto International.

Comparison of Machine Learning Methods for Mapping the Stand Characteristics of Temperate Forests Using Multi-Spectral Sentinel-2 Data

Bahareh Kalantar, Saeid Janizadeh, Vahideh Saeidi, 2020, Remote. Sens..

Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data

Naonori Ueda, Bahareh Kalantar, Alfian Abdul Halin, 2020, Remote. Sens..

Islands and International Politics in the Persian Gulf: The Abu Musa and Tunbs in Strategic Context

K. Ahmadi, 2008 .

Determining the Impact of Information Technology (IT) on Achieving competitive advantages in Third party logistics Companies (3PL): ISACO and SAIPALogistics

K. Ahmadi, H. Javanmard, 2015 .

Bishiklik Petroglyphs in Neyshabur County, Northeastern Iran

K. Ahmadi, Mohammad Rezaei, S. Soleymani, 2016 .

Evaluation of debris flow and landslide hazards using ensemble framework of Bayesian- and tree-based models

Duong Tran Anh, S. Pal, Rabin Chakrabortty, 2022, Bulletin of Engineering Geology and the Environment.

Modeling tree species richness patterns and their environmental drivers across Hyrcanian mountain forests

S. Pal, K. Ahmadi, A. Saha, 2023, Ecological Informatics.

Species distribution models of Brant's oak (Quercus brantii Lindl.): The impact of spatial database on predicting the impacts of climate change

T. Matsui, B. Heung, K. Ahmadi, 2023, Ecological Engineering.

Anthropogenic and natural fragmentations shape the spatial distribution and genetic diversity of roe deer in the marginal area of its geographic range

K. Ahmadi, A. Shabani, M. Zeinalabedini, 2023, Ecological Indicators.

Generalized height-diameter models for Fagus orientalis Lipsky in Hyrcanian forest, Iran

K. Ahmadi, S. J. Alavi, 2016 .