Search Results - "Guo, Shu‐Mei"

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  1. 1

    Enhancing Differential Evolution Utilizing Eigenvector-Based Crossover Operator by Shu-Mei Guo, Chin-Chang Yang

    “…Differential evolution has been shown to be an effective methodology for solving optimization problems over continuous space. In this paper, we propose an…”
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  2. 2

    Improving Differential Evolution With a Successful-Parent-Selecting Framework by Shu-Mei Guo, Chin-Chang Yang, Pang-Han Hsu, Tsai, Jason S.-H

    “…An effective and efficient successful-parent-selecting framework is proposed to improve the performance of differential evolution (DE) by providing an…”
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  3. 3

    Artificial intelligence evaluation of coronary computed tomography angiography for coronary stenosis classification and diagnosis by Lee, Dan‐Ying, Chang, Chun‐Chin, Ko, Chieh‐Fu, Lee, Yin‐Hao, Tsai, Yi‐Lin, Chou, Ruey‐Hsing, Chang, Ting‐Yung, Guo, ShuMei, Huang, Po‐Hsun

    Published in European journal of clinical investigation (01-01-2024)
    “…Background Ruling out obstructive coronary artery disease (CAD) using coronary computed tomography angiography (CCTA) is time‐consuming and challenging. This…”
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  4. 4

    A YOLO-based AI system for classifying calcifications on spot magnification mammograms by Chen, Jian-Ling, Cheng, Lan-Hsin, Wang, Jane, Hsu, Tun-Wei, Chen, Chin-Yu, Tseng, Ling-Ming, Guo, Shu-Mei

    Published in Biomedical engineering online (27-05-2023)
    “…Use of an AI system based on deep learning to investigate whether the system can aid in distinguishing malignant from benign calcifications on spot…”
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  5. 5

    A PCB Alignment System Using RST Template Matching with CUDA on Embedded GPU Board by Le, Minh-Tri, Tu, Ching-Ting, Guo, Shu-Mei, Lien, Jenn-Jier James

    Published in Sensors (Basel, Switzerland) (11-05-2020)
    “…The fiducial-marks-based alignment process is one of the most critical steps in printed circuit board (PCB) manufacturing. In the alignment process, a machine…”
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  6. 6

    Combined model integrating deep learning, radiomics, and clinical data to classify lung nodules at chest CT by Lin, Chia-Ying, Guo, Shu-Mei, Lien, Jenn-Jier James, Lin, Wen-Tsen, Liu, Yi-Sheng, Lai, Chao-Han, Hsu, I-Lin, Chang, Chao-Chun, Tseng, Yau-Lin

    Published in Radiologia medica (01-01-2024)
    “…Objectives The study aimed to develop a combined model that integrates deep learning (DL), radiomics, and clinical data to classify lung nodules into benign or…”
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  7. 7

    Development of a modified 3D region proposal network for lung nodule detection in computed tomography scans: a secondary analysis of lung nodule datasets by Lin, Chia-Ying, Guo, Shu-Mei, Lien, Jenn-Jier James, Tsai, Tzung-Yi, Liu, Yi-Sheng, Lai, Chao-Han, Hsu, I-Lin, Chang, Chao-Chun, Tseng, Yau-Lin

    Published in Cancer imaging (20-03-2024)
    “…Low-dose computed tomography (LDCT) has been shown useful in early lung cancer detection. This study aimed to develop a novel deep learning model for detecting…”
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  8. 8

    Expression of UCA1 and MALAT1 long-chain non-coding RNAs in esophageal squamous cell carcinoma tissues is predictive of patient prognosis by Kang, Kai, Huang, Yong-Hua, Li, Hai-Peng, Guo, Shu-Mei

    Published in Archives of medical science (01-06-2018)
    “…The long non-coding RNAs (lncRNAs) urothelial cancer associated 1 ( ) and metastasis associated lung adenocarcinoma transcript 1 ( ) are known to impact cancer…”
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  9. 9

    Hybrid robust output tracker design for sampled‐data systems using digital redesign of sliding mode control by Fang, Jiunn‐Shiou, Tsai, Jason Sheng‐Hong, Yan, Jun‐Juh, Huang, Chiao‐Hsin, Guo, ShuMei

    Published in Asian journal of control (01-03-2022)
    “…This paper is mainly concerned with the design of a hybrid robust output tracker for a class of systems with a direct feed‐through term and bounded matched…”
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  10. 10

    Adaptive H-infinity SMC-based Model Reference Tracker for Uncertain Nonlinear Systems with Input Nonlinearity by Fang, Jiunn-Shiou, Tsai, Jason Sheng-Hong, Yan, Jun-Juh, Guo, Shu-Mei

    “…This paper presents a novel robust H ∞ model reference adaptive tracker (MRAT) for a class of nonlinear systems with input nonlinearities, uncertainties, and…”
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  11. 11

    Robust sliding model control-based adaptive tracker for a class of nonlinear systems with input nonlinearities and uncertainties by Fang, Jiunn-Shiou, Tsai, Jason Sheng-Hong, Yan, Jun-Juh, Guo, Shu-Mei

    “…A robust adaptive tracker is newly proposed for a class of nonlinear systems with input nonlinearities and uncertainties. Because the upper bounds of input…”
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  12. 12

    Secure Data Transmission and Image Encryption Based on a Digital-Redesign Sliding Mode Chaos Synchronization by Fang, Jiunn-Shiou, Tsai, Jason Sheng-Hong, Yan, Jun-Juh, Chiang, Li-Huseh, Guo, Shu-Mei

    Published in Mathematics (Basel) (01-02-2022)
    “…In this paper, a novel image encryption algorithm based on chaotic synchronization is proposed. First, a digital-redesign sliding mode controller (SMC) is…”
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  13. 13

    Hybrid H-infinity synchronization for uncertain continuous chaotic systems based on digital redesign approach by Fang, Jiunn-Shiou, Tsai, Jason Sheng-Hong, Yan, Jun-Juh, Chiang, Li-Huseh, Guo, Shu-Mei

    Published in Measurement and control (London) (01-09-2021)
    “…In this paper, the design of hybrid H-infinity synchronization control for continuous chaotic systems based on sliding mode control (SMC) is considered…”
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  14. 14
  15. 15

    Evolutionary Fuzzy Block-Matching-Based Camera Raw Image Denoising by Chin-Chang Yang, Shu-Mei Guo, Tsai, Jason Sheng-Hong

    Published in IEEE transactions on cybernetics (01-09-2017)
    “…An evolutionary fuzzy block-matching-based image denoising algorithm is proposed to remove noise from a camera raw image. Recently, a variance stabilization…”
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  16. 16

    H-infinity model following control for uncertain systems by using digital redesign sliding mode control by Fang, J. S., Tsai, J. S. H., Yan, J. J., Chen, P. L., Guo, S. M.

    Published in IEEE access (01-01-2020)
    “…In this paper, we discuss the H∞ model following control for uncertain continuous systems by using a discrete sliding mode control (SMC). In contrast to the…”
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  17. 17

    A novel on-line OCID method and its application to input-constrained active fault-tolerant tracker design for unknown nonlinear systems by Tsai, Jason Sheng-Hong, Yu, Tzu-Hsien, Su, Te Jen, Guo, Shu-Mei, Shieh, Leang-San, Canelon, Jose I.

    Published in International journal of systems science (26-10-2019)
    “…The existing off-line observer/controller identification (OCID) method for linear systems is newly extended in this paper for off-line/on-line identification…”
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  18. 18

    Design of Robust Trackers and Unknown Nonlinear Perturbation Estimators for a Class of Nonlinear Systems: HTRDNA Algorithm for Tracker Optimization by Fang, Jiunn-Shiou, Tsai, Jason Sheng-Hong, Yan, Jun-Juh, Tzou, Chang-He, Guo, Shu-Mei

    Published in Mathematics (Basel) (01-12-2019)
    “…A robust linear quadratic analog tracker (LQAT) consisting of proportional-integral-derivative (PID) controller, sliding mode control (SMC), and perturbation…”
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  19. 19

    Genetic-based fuzzy image filter and its application to image processing by Lee, Chang-Shing, Guo, Shu-Mei, Hsu, Chin-Yuan

    “…In this paper, we propose a Genetic-based Fuzzy Image Filter (GFIF) to remove additive identical independent distribution (i.i.d.) impulse noise from highly…”
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  20. 20

    State-Space Self-Tuning Control for Stochastic Fractional-Order Chaotic Systems by Tsai, J.S.-H., Tseng-Hsu Chien, Shu-Mei Guo, Yu-Pin Chang, Leang-San Shieh

    “…Based on the modified state-space self-tuning control (STC), a novel low-order tuner via the modified observer/Kalman filter identification (OKID) is proposed…”
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