C. Chung

Assessment of arsenic concentration in stream water using neuro fuzzy networks with factor analysis.

Fi-John Chang, Georges Vachaud, Pin-An Chen, 2014, The Science of the total environment.

Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel

Yong Jie Wong, S. Arumugasamy, A. Selvarajoo, 2020, Environmental Monitoring and Assessment.

Dynamic factor analysis and artificial neural network for estimating pan evaporation at multiple stations in northern Taiwan

Fi-John Chang, Wei-Zen Sun, F. Chang, 2013 .

Adsorption of Copper(II) Ion from Aqueous Solution Using Biochar Derived from Rambutan (Nepheliumlappaceum) Peel: Feedforward Neural Network Modelling Study

S. Arumugasamy, A. Selvarajoo, V. Sethu, 2017, Water, Air, & Soil Pollution.

A spatial neural fuzzy network for estimating pan evaporation at ungauged sites

F. Chang, Y. Chiang, C. Chung, 2011 .

A refined automated grain sizing method for estimating river-bed grain size distribution of digital images

Fi-John Chang, Chang-Han Chung, F. Chang, 2013 .

Estimation of riverbed grain-size distribution using image-processing techniques

Fi-John Chang, Chang-Han Chung, F. Chang, 2012 .