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Reference29 articles.
1. Adam, E., Mutanga, O., Odindi, J., Abdel-Rahman, E.M.: Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers. Int. J. Remote Sens. 35(10), 3440–3458 (2014). https://doi.org/10.1080/01431161.2014.903435
2. Behera, A., Mohapatra, S.S.: Challenges in recovery of valuable and hazardous elements from bulk fly ash and options for increasing fly ash utilization. In: Coal Fly Ash Beneficiation—Treatment of Acid Mine Drainage with Coal Fly Ash. IntechOpen, Croatia (2018)
3. Bhatt, A., Priyadarshini, S., Mohanakrishnan, A.A., Abri, A., Sattler, M., Techapaphawit, S.: Physical, chemical, and geotechnical properties of coal fly ash: a global review. Case Stud. Construct. Mater. 11, e00263 (2019)
4. Bray, M., Han, D.: Identification of support vector machines for runoff modelling. J. Hydroinf.hydroinf. 6, 265–280 (2004)
5. Cohen, J.: A coefficient of agreement for nominal scales. Educ. Psychol. Measur.measur. 20(1), 37–46 (1960). https://doi.org/10.1177/001316446002000104