ESAIM: Proceedings and Surveys

Assessing the color status and daylight chromaticity of road signs through machine learning approaches

Roxan Saleh, Hasan Fleyeh, Moudud Alam and Arend Hintze
IATSS Research 47 (3) 305 (2023)
DOI: 10.1016/j.iatssr.2023.06.003
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Analysis of the Frictional Performance of AW-5251 Aluminium Alloy Sheets Using the Random Forest Machine Learning Algorithm and Multilayer Perceptron

Tomasz Trzepieciński, Sherwan Mohammed Najm, Omar Maghawry Ibrahim and Marek Kowalik
Materials 16 (15) 5207 (2023)
DOI: 10.3390/ma16155207
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AI-based identification of therapeutic agents targeting GPCRs: introducing ligand type classifiers and systems biology

Jonas Goßen, Rui Pedro Ribeiro, Dirk Bier, Bernd Neumaier, Paolo Carloni, Alejandro Giorgetti and Giulia Rossetti
Chemical Science 14 (32) 8651 (2023)
DOI: 10.1039/D3SC02352D
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Model-Assisted Estimation Through Random Forests in Finite Population Sampling

Mehdi Dagdoug, Camelia Goga and David Haziza
Journal of the American Statistical Association 118 (542) 1234 (2023)
DOI: 10.1080/01621459.2021.1987250
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Digital assessments of soil organic carbon storage using digital maps provided by static and dynamic environmental covariates

Fatemeh Rahbar Alam Shirazi, Farzin Shahbazi, Hossein Rezaei and Asim Biswas
Soil Use and Management 39 (2) 948 (2023)
DOI: 10.1111/sum.12900
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Distinguishing Tree Species from In Situ Hyperspectral and Temporal Measurements through Ensemble Statistical Learning

Nontembeko Dudeni-Tlhone, Onisimo Mutanga, Pravesh Debba and Moses Azong Cho
Remote Sensing 15 (17) 4117 (2023)
DOI: 10.3390/rs15174117
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Uncovering the effects of Urmia Lake desiccation on soil chemical ripening using advanced mapping techniques

Farzin Shahbazi, Tobias Karl David Weber, Shahin Oustan, Zohreh Alvyar, Sangho Jeon and Budiman Minasny
CATENA 232 107440 (2023)
DOI: 10.1016/j.catena.2023.107440
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Tile-Based Random Forest Analysis for Analyte Discovery in Balanced and Unbalanced GC × GC-TOFMS Data Sets

Meriem Gaida, Caitlin N. Cain, Robert E. Synovec, Jean-François Focant and Pierre-Hugues Stefanuto
Analytical Chemistry 95 (36) 13519 (2023)
DOI: 10.1021/acs.analchem.3c01872
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Application of random forest (RF) for flood levels prediction in Lower Ogun Basin, Nigeria

O. O. Aiyelokun, O. D. Aiyelokun and O. A. Agbede
Natural Hazards (2023)
DOI: 10.1007/s11069-023-06211-7
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Monitoring the Spatial and Interannual Dynamic of Zostera noltei

Salma Benmokhtar, Marc Robin, Mohamed Maanan, Soilam Boutoumit, Bouabid Badaoui and Hocein Bazairi
Wetlands 43 (5) (2023)
DOI: 10.1007/s13157-023-01690-7
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Chemical Descriptors for a Large-Scale Study on Drop-Weight Impact Sensitivity of High Explosives

Frank W. Marrs, Jack V. Davis, Alexandra C. Burch, et al.
Journal of Chemical Information and Modeling 63 (3) 753 (2023)
DOI: 10.1021/acs.jcim.2c01154
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Effects of stopping criterion on the growth of trees in regression random forests

Aryana Arsham, Philip Rosenberg and Mark Little
The New England Journal of Statistics in Data Science 46 (2023)
DOI: 10.51387/22-NEJSDS5
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On exploring bivariate and trivariate maps as visualization tools for spatial associations in digital soil mapping: A focus on soil properties

Ndiye M. Kebonye, Prince C. Agyeman, Zibanani Seletlo and Peter N. Eze
Precision Agriculture 24 (2) 511 (2023)
DOI: 10.1007/s11119-022-09955-7
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Predictors of healthy physiological aging across generations in a 30-year population-based cohort study: the Doetinchem Cohort Study

Bette Loef, Gerrie-Cor M. Herber, Albert Wong, et al.
BMC Geriatrics 23 (1) (2023)
DOI: 10.1186/s12877-023-03789-2
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Lethality risk markers by sex and age-group for COVID-19 in Mexico: a cross-sectional study based on machine learning approach

Mariano Rojas-García, Blanca Vázquez, Kirvis Torres-Poveda and Vicente Madrid-Marina
BMC Infectious Diseases 23 (1) (2023)
DOI: 10.1186/s12879-022-07951-w
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Improving Sampling Probability Definitions with Predictive Algorithms

Matthew Jannetti, Amy Carroll-Scott, Erikka Gilliam, et al.
Field Methods 35 (2) 137 (2023)
DOI: 10.1177/1525822X221113181
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Random Forest Algorithm for the Strength Prediction of Geopolymer Stabilized Clayey Soil

Husein Ali Zeini, Duaa Al-Jeznawi, Hamza Imran, et al.
Sustainability 15 (2) 1408 (2023)
DOI: 10.3390/su15021408
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Predicting spatial distribution of stable isotopes in precipitation by classical geostatistical- and machine learning methods

Dániel Erdélyi, István Gábor Hatvani, Hyeongseon Jeon, et al.
Journal of Hydrology 617 129129 (2023)
DOI: 10.1016/j.jhydrol.2023.129129
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Modeling the Combined Effect of Fulvic Acid, Effective Microorganisms and Micro-Carbon on Olive Yield

Waleed Mohammad Elhanafy F, Younes Mohammad Rashad and Omar Maghawry Ibrahim
Asian Journal of Plant Sciences 22 (2) 394 (2023)
DOI: 10.3923/ajps.2023.394.405
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Imputation Procedures in Surveys Using Nonparametric and Machine Learning Methods: An Empirical Comparison

Mehdi Dagdoug, Camelia Goga and David Haziza
Journal of Survey Statistics and Methodology 11 (1) 141 (2023)
DOI: 10.1093/jssam/smab004
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Development and evaluation of frameworks for real-time bus passenger occupancy prediction

Jonathan Wood, Zhengyao Yu and Vikash V. Gayah
International Journal of Transportation Science and Technology 12 (2) 399 (2023)
DOI: 10.1016/j.ijtst.2022.03.005
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Using random forest to identify longitudinal predictors of health in a 30-year cohort study

Bette Loef, Albert Wong, Nicole A. H. Janssen, et al.
Scientific Reports 12 (1) (2022)
DOI: 10.1038/s41598-022-14632-w
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Mapping soil erodibility in southeast China at 250 m resolution: Using environmental variables and random forest regression with limited samples

Zhiyuan Tian, Feng Liu, Yin Liang and Xuchao Zhu
International Soil and Water Conservation Research 10 (1) 62 (2022)
DOI: 10.1016/j.iswcr.2021.06.005
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Data Engineering for Smart Systems

Priyankoo Sarmah and Leena Dihingia
Lecture Notes in Networks and Systems, Data Engineering for Smart Systems 238 313 (2022)
DOI: 10.1007/978-981-16-2641-8_30
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IoT-based platform for automated IEQ spatio-temporal analysis in buildings using machine learning techniques

Francisco Troncoso-Pastoriza, Miguel Martínez-Comesaña, Ana Ogando-Martínez, et al.
Automation in Construction 139 104261 (2022)
DOI: 10.1016/j.autcon.2022.104261
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Improving nonconformity responsibility decisions: a semi-automated model based on CRISP-DM

Batel Ziv and Yisrael Parmet
International Journal of System Assurance Engineering and Management 13 (2) 657 (2022)
DOI: 10.1007/s13198-021-01318-1
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Moisés R. Santos, Douglas D. C. Braz, André C. P. L. F. Carvalho, Renato Tinós, Marcos B. S. Paula, Gabriel Doretto, Ewerton Guarnier, Donato Silva Filho, Danilo Y. Suiama, Lorena E. Ferreira and José E. Carmo Júnior
1 (2022)
DOI: 10.1109/LA-CCI54402.2022.9981846
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Automated Detection of Vaping-Related Tweets on Twitter During the 2019 EVALI Outbreak Using Machine Learning Classification

Yang Ren, Dezhi Wu, Avineet Singh, et al.
Frontiers in Big Data 5 (2022)
DOI: 10.3389/fdata.2022.770585
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An improvement of snow/cloud discrimination from machine learning using geostationary satellite data

Donghyun Jin, Kyeong-Sang Lee, Sungwon Choi, et al.
International Journal of Digital Earth 15 (1) 2355 (2022)
DOI: 10.1080/17538947.2022.2152886
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A rapid origin identification method for Panax quinquefolius by terahertz spectroscopy combined with random forest

Lingyu Liu, Yan Gao, Xiaohu Wu, et al.
Optik 268 169718 (2022)
DOI: 10.1016/j.ijleo.2022.169718
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Influencing Factors and Clustering Characteristics of COVID-19: A Global Analysis

Tianlong Zheng, Chunli Zhang, Yueting Shi, Debao Chen and Sheng Liu
Big Data Mining and Analytics 5 (4) 318 (2022)
DOI: 10.26599/BDMA.2022.9020010
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Change Detection Techniques with Synthetic Aperture Radar Images: Experiments with Random Forests and Sentinel-1 Observations

Pietro Mastro, Guido Masiello, Carmine Serio and Antonio Pepe
Remote Sensing 14 (14) 3323 (2022)
DOI: 10.3390/rs14143323
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Nonlinear Effects of the Neighborhood Environments on Residents’ Mental Health

Lin Zhang, Suhong Zhou, Lanlan Qi and Yue Deng
International Journal of Environmental Research and Public Health 19 (24) 16602 (2022)
DOI: 10.3390/ijerph192416602
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Random forest-based modeling of stream nutrients at national level in a data-scarce region

Holger Virro, Alexander Kmoch, Marko Vainu and Evelyn Uuemaa
Science of The Total Environment 840 156613 (2022)
DOI: 10.1016/j.scitotenv.2022.156613
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Estimation of Eucalyptus productivity using efficient artificial neural network

Ricardo Rodrigues de Oliveira Neto, Helio Garcia Leite, José Marinaldo Gleriani and Bogdan M. Strimbu
European Journal of Forest Research 141 (1) 129 (2022)
DOI: 10.1007/s10342-021-01431-7
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Random forest and naïve Bayes approaches as tools for flash flood hazard susceptibility prediction, South Ras El-Zait, Gulf of Suez Coast, Egypt

Sherif Ahmed Abu El-Magd
Arabian Journal of Geosciences 15 (3) (2022)
DOI: 10.1007/s12517-022-09531-3
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Applying random forest in a health administrative data context: a conceptual guide

Caroline King and Erin Strumpf
Health Services and Outcomes Research Methodology 22 (1) 96 (2022)
DOI: 10.1007/s10742-021-00255-7
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The Impact of Ensemble Techniques on Software Maintenance Change Prediction: An Empirical Study

Hadeel Alsolai and Marc Roper
Applied Sciences 12 (10) 5234 (2022)
DOI: 10.3390/app12105234
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A Machine Learning-based Cloud Detection Algorithm for the Himawari-8 Spectral Image

Chao Liu, Shu Yang, Di Di, et al.
Advances in Atmospheric Sciences 39 (12) 1994 (2022)
DOI: 10.1007/s00376-021-0366-x
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Tropical cyclone full track simulation in the western North Pacific based on random forests

Mingfeng Huang, Qing Wang, Renzhi Jing, et al.
Journal of Wind Engineering and Industrial Aerodynamics 228 105119 (2022)
DOI: 10.1016/j.jweia.2022.105119
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Pietro Mastro, Domenico Cimini, Filomena Romano, Elisabetta Ricciardelli, Francesco Di Paola, Guido Masiello, Carmine Serio, Adolfo Comerón, Evgueni I. Kassianov, Klaus Schäfer, Richard H. Picard, Konradin Weber and Upendra N. Singh
29 (2022)
DOI: 10.1117/12.2642874
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Prediction of groundwater quality using efficient machine learning technique

Sudhakar Singha, Srinivas Pasupuleti, Soumya S. Singha, Rambabu Singh and Suresh Kumar
Chemosphere 276 130265 (2021)
DOI: 10.1016/j.chemosphere.2021.130265
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Development of random forest model as decision support tool in water resources management of Ogun headwater catchments

O. O. Aiyelokun and O. A. Agbede
Applied Water Science 11 (7) (2021)
DOI: 10.1007/s13201-021-01461-x
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MODIS aerosol optical depth retrieval based on random forest approach

Tianchen Liang, Lin Sun and Haoxin Li
Remote Sensing Letters 12 (2) 179 (2021)
DOI: 10.1080/2150704X.2020.1842540
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High-Resolution Gridded Livestock Projection for Western China Based on Machine Learning

Xianghua Li, Jinliang Hou and Chunlin Huang
Remote Sensing 13 (24) 5038 (2021)
DOI: 10.3390/rs13245038
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Lingyu Liu, Yan Gao, Tianying Chang, Yizhang Li, Jing Lv and Bonian Zhao
760 (2021)
DOI: 10.1109/CAC53003.2021.9728716
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Optimization of urban land cover classification using an improved Elephant Herding Optimization algorithm and random forest classifier

Moataz Kilany, Chuanrong Zhang and Weidong Li
International Journal of Remote Sensing 42 (15) 5741 (2021)
DOI: 10.1080/01431161.2021.1931533
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Neural Computing for Advanced Applications

Hiu Fai Lee and Ming Jiang
Communications in Computer and Information Science, Neural Computing for Advanced Applications 1449 211 (2021)
DOI: 10.1007/978-981-16-5188-5_16
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Integration of Sentinel optical and radar data for mapping smallholder coffee production systems in Vietnam

Gina Maskell, Abel Chemura, Huong Nguyen, Christoph Gornott and Pinki Mondal
Remote Sensing of Environment 266 112709 (2021)
DOI: 10.1016/j.rse.2021.112709
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Assessing the geographic specificity of pH prediction by classification and regression trees

Jacob Egelberg, Nina Pena, Rachel Rivera, Christina Andruk and João Canário
PLOS ONE 16 (8) e0255119 (2021)
DOI: 10.1371/journal.pone.0255119
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Short-Term Forecasting of Household Water Demand in the UK Using an Interpretable Machine Learning Approach

Maria Xenochristou, Chris Hutton, Jan Hofman and Zoran Kapelan
Journal of Water Resources Planning and Management 147 (4) (2021)
DOI: 10.1061/(ASCE)WR.1943-5452.0001325
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Mapping and Quantification of the Dwarf Eelgrass Zostera noltei Using a Random Forest Algorithm on a SPOT 7 Satellite Image

Salma Benmokhtar, Marc Robin, Mohamed Maanan and Hocein Bazairi
ISPRS International Journal of Geo-Information 10 (5) 313 (2021)
DOI: 10.3390/ijgi10050313
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Mobile‐aided screening system for proliferative diabetic retinopathy

Rahma Boukadida, Yaroub Elloumi, Mohamed Akil and Mohamed Hedi Bedoui
International Journal of Imaging Systems and Technology 31 (3) 1638 (2021)
DOI: 10.1002/ima.22547
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Muscle Synergy of Lower Limb Motion in Subjects with and without Knee Pathology

Jingcheng Chen, Yining Sun and Shaoming Sun
Diagnostics 11 (8) 1318 (2021)
DOI: 10.3390/diagnostics11081318
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Exploiting limited players’ behavioral data to predict churn in gamification

Enrica Loria and Annapaola Marconi
Electronic Commerce Research and Applications 47 101057 (2021)
DOI: 10.1016/j.elerap.2021.101057
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Prediction of sorption enhanced steam methane reforming products from machine learning based soft-sensor models

Paula Nkulikiyinka, Yongliang Yan, Fatih Güleç, Vasilije Manovic and Peter T. Clough
Energy and AI 2 100037 (2020)
DOI: 10.1016/j.egyai.2020.100037
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Generalized Pharmacometric Modeling, a Novel Paradigm for Integrating Machine Learning Algorithms: A Case Study of Metabolomic Biomarkers

Mason McComb and Murali Ramanathan
Clinical Pharmacology & Therapeutics 107 (6) 1343 (2020)
DOI: 10.1002/cpt.1746
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Quantifying Climate and Catchment Control on Hydrological Drought in the Continental United States

Goutam Konapala and Ashok Mishra
Water Resources Research 56 (1) (2020)
DOI: 10.1029/2018WR024620
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Water table depth forecasting in cranberry fields using two decision-tree-modeling approaches

Jhemson Brédy, Jacques Gallichand, Paul Celicourt and Silvio José Gumiere
Agricultural Water Management 233 106090 (2020)
DOI: 10.1016/j.agwat.2020.106090
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Conditional permutation importance revisited

Dries Debeer and Carolin Strobl
BMC Bioinformatics 21 (1) (2020)
DOI: 10.1186/s12859-020-03622-2
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A machine-learning-based cloud detection and thermodynamic-phase classification algorithm using passive spectral observations

Chenxi Wang, Steven Platnick, Kerry Meyer, Zhibo Zhang and Yaping Zhou
Atmospheric Measurement Techniques 13 (5) 2257 (2020)
DOI: 10.5194/amt-13-2257-2020
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Sonoma County Complex Fires of 2017: Remote sensing data and modeling to support ecosystem and community resiliency

Kass Green, Mark Tukman, Dylan Loudon, et al.
California Fish and Wildlife Journal 106 (Fire Special Issue) (2020)
DOI: 10.51492/cfwj.firesi.1
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Modeling Posidonia oceanica shoot density and rhizome primary production

Elena Catucci and Michele Scardi
Scientific Reports 10 (1) (2020)
DOI: 10.1038/s41598-020-73722-9
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An ensemble stacked model with bias correction for improved water demand forecasting

Maria Xenochristou and Zoran Kapelan
Urban Water Journal 17 (3) 212 (2020)
DOI: 10.1080/1573062X.2020.1758164
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Hyperparameters and tuning strategies for random forest

Philipp Probst, Marvin N. Wright and Anne‐Laure Boulesteix
WIREs Data Mining and Knowledge Discovery 9 (3) (2019)
DOI: 10.1002/widm.1301
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A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources

Hristos Tyralis, Georgia Papacharalampous and Andreas Langousis
Water 11 (5) 910 (2019)
DOI: 10.3390/w11050910
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Machine Learning Methods for Classification of the Green Infrastructure in City Areas

Nikola Kranjčić, Damir Medak, Robert Župan and Milan Rezo
ISPRS International Journal of Geo-Information 8 (10) 463 (2019)
DOI: 10.3390/ijgi8100463
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