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Feature fusion and selection The two feature groups were concatenated to form a fused representation (Equation 7): Before model training, invalid values were handled by the implementation defaults, and constant features were removed by variance filtering (Equation 8): The filtered matrix was then standardized as Equation 9:where and were computed from the training set