Ling-Yuan Hsu

TL;DR: The experimental results of the temperature prediction and the TAIFEX forecasting show that the proposed MTPSO model is better than any existing models and it can get better quality solutions based on the high-order fuzzy time series, respectively.

TL;DR: Novel Sorted Switching Median Filter for effectively denoising extremely corrupted images while preserving the image details is proposed and substantially outperforms all other existing median-based filters.

TL;DR: In this article, a modified turbulent particle swarm optimization (MTPSO) model is proposed to solve the planar graph coloring problem, which combines walking one strategy, assessment strategy and turbulent strategy.

TL;DR: A new funds trading strategy that combines turbulent particle swarm optimization and mixed moving average techniques is presented and used to find the proper content of technical indicator parameters to achieve high profit and low risk on a mutual fund.

TL;DR: In this paper , a high capacity QR decomposition (QRD) based blind watermarking algorithm with artificial intelligence (AI) technologies for color images was proposed, which involves dividing the host image into non-overlapping blocks of size 4 × 4 pixels and then applying the QRD to each block.