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References

1 
Al-Mejibli, I. S., Alwan, J. K. and Abd, D. H. (2020). “The effect of gamma value on support vector machine performance with different kernels.” International Journal of Electrical and Computer Engineering, Vol. 10, No. 5, 5497.DOI
2 
Boser, B. E., Guyon, I. M. and Vapnik, V. N. (1992). “A training algorithm for optimal margin classifiers.” Proceedings of the Fifth Annual Workshop on Computational Learning Theory, pp. 144-152.DOI
3 
Chaudhry, M. H. (2008). Open-channel flow, Springer, NY, U.S., pp. 481.URL
4 
Colby, B. R. and Hembree, C. H. (1954). “Computations of total sediment discharge, Niobrara River near Cody, Nebraska.” Science, Vol. 119, No. 3097, pp. 657-658.DOI
5 
Cortes, C. and Vapnik, V. (1995). “Support-vector networks.” Machine Learning, Vol. 20, No. 3, pp. 273-297.DOI
6 
Downing, A., Thorne, P. D. and Vincent, C. E. (1995). “Backscattering from a suspension in the near field of a piston transducer.” The Journal of the Acoustical Society of America, Vol. 97, No. 3, pp. 1614-1620, doi: 10.1121/1.412100.DOI
7 
Drucker, H., Burges, C. J. C., Kaufman, L., Smola, A. and Vapnik, V. (1997). “Support vector regression machines.” Advances in Neural In-Formation Processing System, Vol. 9, pp. 155-161.URL
8 
Flammer, G. H. (1962). Ultrasonic measurement of suspended sediment, US Government Printing Office, Vol. 1141.URL
9 
Gellis, A. C. (2013). “Factors influencing storm-generated suspended-sediment concentrations and loads in four basins of contrasting land use, humid-tropical Puerto Rico.” Catena, Vol. 104, pp. 39-57.DOI
10 
Guerrero, M., Rüther, N. and Szupiany, R. N. (2012). “Laboratory validation of acoustic Doppler current profiler (ADCP) tech- niques for suspended sediment investigations.” Flow Measurement and Instrumentation, Vol. 23, No. 1, pp. 40-48.DOI
11 
Guyon, I., Weston, J., Barnhill, S. and Vapnik, V. (2002). “Gene selection for cancer classification using support vector machines.” Machine Learning, Vol. 46, No. 1-3, pp. 389-422.DOI
12 
Haught, D., Venditti, J. G. and Wright, S. A. (2017). “Calculation of in situ acoustic sediment attenuation using off‐the‐shelf horizontal ADCPs in low concentration settings.” Water Resources Research, Vol. 53, No. 6, pp. 5017-5037.DOI
13 
Hoitink, A. J. F. and Hoekstra, P. (2005). “Observations of suspended sediment from ADCP and OBS measurements in a mud-dominated environment.” Coastal Engineering, Vol. 52, No. 2, pp. 103-118.DOI
14 
Landers, M. N. (2012). Fluvial suspended sediment characteristics by high-resolution, surrogate metrics of turbidity, laser- diffraction, acoustic backscatter, and acoustic attenuation, Ph. D. Thesis, Dept. of Civil and Environ. Eng., Georgia Inst. of Technol., Atlanta, Ga.URL
15 
Landers, M. N., Straub, T. D., Wood, M. S. and Domanski, M. M. (2016). Sediment acoustic index method for computing continuous suspended-sediment concentrations, No. 3-C5. US Geological Survey.DOI
16 
Ministry of Environment (MoE) (2019). Hydrological annual report in Korea (in Korean).URL
17 
Noh, H., Son, G., Kim, D. and Park, Y. S. (2021). “Clustering of sediment characteristics in South Korean Rivers and its expanded application strategy to H-ADCP based suspended sediment concentration monitoring technique.” Journal of Korea Water Resources Association, Vol. 55, No. 1, pp. 43-57 (in Korean).DOI
18 
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M. and Duchesnay, E. (2011). “Scikit-learn: Machine learning in python.” Journal of Machine Learning Research, Vol. 12, pp. 2825-2830.URL
19 
Raghavendra, N. S. and Deka, P. C. (2014). “Support vector machine applications in the field of hydrology: A review.” Applied Soft Computing, Vol. 19, pp. 372-386.DOI
20 
Rajaee, T., Nourani, V., Zounemat-Kermani, M. and Kisi, O. (2011). “River suspended sediment load prediction: application of ANN and wavelet conjunction model.” Journal of Hydrologic Engineering, Vol. 16, No. 8, pp. 613-627.DOI
21 
Schulkin, M. and Marsh, H. W. (1962). “Sound absorption in sea water.” The Journal of the Acoustical Society of America, Vol. 34, No. 6, pp. 864-865.DOI
22 
Sheng, J. and Hay, A. E. (1988). “An examination of the spherical scatterer approximation in aqueous suspensions of sand.” The Journal of the Acoustical Society of America, Vol. 83, No. 2, pp. 598-610.DOI
23 
Smola, A. (1996). Regression estimation with support vector learning machines, MSc Thesis, The Technical University, München, Germany.URL
24 
Son, G. (2021). Riverine sediment load measurement technique using acoustic doppler current profilers considering hysteresis. Ph. D. Thesis, Dankook University (in Korean).URL
25 
Topping, D. J., Wright, S. A., Melis, T. S. and Rubin, D. M. (2006). “High-resolution monitoring of suspended-sediment concentration and grain size in the Colorado River using laser-diffraction instruments and a three-frequency acoustic system.” Proceedings of the 8th Federal Interagency Sedimentation Conference, Reno, Nev., U.S. Geological Survey, pp. 539-546.URL
26 
Topping, D. J., Wright, S. A., Melis, T. S. and Rubin, D. M. (2007). “High-resolution measurements of suspended-sediment concen- tration and grain size in the Colorado River in Grand Canyon using a multi-frequency acoustic system.” Proceedings, 10th International Symposium on River Sedimentation, August 1-4, 2007: Moscow, Russia, Vol. 3, pp. 330-339.URL
27 
Urick, R. J. (1948). “The absorption of sound in suspensions of irregular particles.” The Journal of the Acoustical Society of America, Vol. 20, No. 3, pp. 283-289.DOI
28 
Urick, R. J. (1975). Principles of underwater sound for engineers, McGraw Hill, NY, U.S., p. 384.URL
29 
Venditti, J. G., Church, M., Attard, M. E. and Haught, D. (2016). “Use of ADCPs for suspended sediment transport monitoring: An empirical approach.” Water Resources Research, Vol. 52, No. 4, pp. 2715-2736.DOI
30 
Williams, G. P. (1989). “Sediment concentration versus water discharge during single hydrologic events in rivers.” Journal of Hydrology, Vol. 111, pp. 89-106.DOI
31 
Zounemat-Kermani, M., Mahdavi-Meymand, A., Alizamir, M., Adarsh, S. and Yaseen, Z. M. (2020). “On the complexities of sediment load modeling using integrative machine learning: Application of the great river of Loíza in Puerto Rico.” Journal of Hydrology, Vol. 585, 124759.DOI