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  • Open Access

    ARTICLE

    Development of AI-Based Monitoring System for Stratified Quality Assessment of 3D Printed Parts

    Yewon Choi1,2, Song Hyeon Ju2, Jungsoo Nam2,*, Min Ku Kim1,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.071817 - 29 January 2026

    Abstract The composite material layering process has attracted considerable attention due to its production advantages, including high scalability and compatibility with a wide range of raw materials. However, changes in process conditions can lead to degradation in layer quality and non-uniformity, highlighting the need for real-time monitoring to improve overall quality and efficiency. In this study, an AI-based monitoring system was developed to evaluate layer width and assess quality in real time. Three deep learning models Faster Region-based Convolutional Neural Network (R-CNN), You Only Look Once version 8 (YOLOv8), and Single Shot MultiBox Detector (SSD) were… More >

  • Open Access

    ARTICLE

    Type-I Heavy-Tailed Burr XII Distribution with Applications to Quality Control, Skewed Reliability Engineering Systems and Lifetime Data

    Okechukwu J. Obulezi1,*, Hatem E. Semary2, Sadia Nadir3, Chinyere P. Igbokwe4, Gabriel O. Orji1, A. S. Al-Moisheer2, Mohammed Elgarhy5

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 2991-3027, 2025, DOI:10.32604/cmes.2025.069553 - 30 September 2025

    Abstract This study introduces the type-I heavy-tailed Burr XII (TIHTBXII) distribution, a highly flexible and robust statistical model designed to address the limitations of conventional distributions in analyzing data characterized by skewness, heavy tails, and diverse hazard behaviors. We meticulously develop the TIHTBXII’s mathematical foundations, including its probability density function (PDF), cumulative distribution function (CDF), and essential statistical properties, crucial for theoretical understanding and practical application. A comprehensive Monte Carlo simulation evaluates four parameter estimation methods: maximum likelihood (MLE), maximum product spacing (MPS), least squares (LS), and weighted least squares (WLS). The simulation results consistently show… More >

  • Open Access

    ARTICLE

    Physics-Informed Gaussian Process Regression with Bayesian Optimization for Laser Welding Quality Control in Coaxial Laser Diodes

    Ziyang Wang1, Lian Duan1,2,*, Lei Kuang1, Haibo Zhou1, Ji’an Duan1

    CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2587-2604, 2025, DOI:10.32604/cmc.2025.065648 - 03 July 2025

    Abstract The packaging quality of coaxial laser diodes (CLDs) plays a pivotal role in determining their optical performance and long-term reliability. As the core packaging process, high-precision laser welding requires precise control of process parameters to suppress optical power loss. However, the complex nonlinear relationship between welding parameters and optical power loss renders traditional trial-and-error methods inefficient and imprecise. To address this challenge, a physics-informed (PI) and data-driven collaboration approach for welding parameter optimization is proposed. First, thermal-fluid-solid coupling finite element method (FEM) was employed to quantify the sensitivity of welding parameters to physical characteristics, including… More >

  • Open Access

    REVIEW

    Mitochondrial Oxidative Stress-Associated Mechanisms in the Development of Metabolic Dysfunction-Associated Steatotic Liver Disease

    Juan Yang1,2,#, Jiahui Zhang3,#, Le Zhang1,2,*, Zhenshan Yang4,*

    BIOCELL, Vol.49, No.3, pp. 399-417, 2025, DOI:10.32604/biocell.2025.059908 - 31 March 2025

    Abstract With the prevalence of obesity, metabolic dysfunction-associated steatotic liver disease (MASLD) has become the most common chronic liver disease worldwide and can cause a series of serious complications. The pathogenesis of MASLD is complex, characterized by oxidative stress, impaired mitochondrial function and lipid metabolism, and cellular inflammation. Mitochondrial biology and function are central to the physiology of the liver. It has been suggested that mitochondrial oxidative stress plays a crucial role in MASLD progression. Excessive oxidative stress response is an important trigger for the occurrence and development of MASLD. In this review, we aim to More >

  • Open Access

    REVIEW

    Macrophage polarization in cardiac transplantation: Insights into immune modulation and therapeutic approaches

    JINGWEI JIANG1,2, BO JIA3, CHUAN WANG3, CHEN FANG1, YUGUI LI1, GUOXING LING1, BAOSHI ZHENG1,*, CHENG LUO1,*

    BIOCELL, Vol.49, No.1, pp. 61-78, 2025, DOI:10.32604/biocell.2024.056981 - 24 January 2025

    Abstract The role and regulatory mechanisms of macrophage polarization in cardiac transplantation have gained significant attention. Macrophages can polarize into either the M1 (pro-inflammatory) or M2 (anti-inflammatory) phenotype in response to environmental cues. M1 macrophages facilitate transplant rejection by releasing inflammatory mediators and activating T cells, whereas M2 macrophages support graft survival by secreting anti-inflammatory factors and promoting tissue repair. Mitochondrial quality control regulation plays a crucial role in macrophage polarization, which may influence graft survival and immune responses. This review provides an overview of the current understanding of mitochondrial quality control-regulated macrophage polarization in cardiac More >

  • Open Access

    ARTICLE

    Advancing PCB Quality Control: Harnessing YOLOv8 Deep Learning for Real-Time Fault Detection

    Rehman Ullah Khan1, Fazal Shah2,*, Ahmad Ali Khan3, Hamza Tahir2

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 345-367, 2024, DOI:10.32604/cmc.2024.054439 - 15 October 2024

    Abstract Printed Circuit Boards (PCBs) are materials used to connect components to one another to form a working circuit. PCBs play a crucial role in modern electronics by connecting various components. The trend of integrating more components onto PCBs is becoming increasingly common, which presents significant challenges for quality control processes. Given the potential impact that even minute defects can have on signal traces, the surface inspection of PCB remains pivotal in ensuring the overall system integrity. To address the limitations associated with manual inspection, this research endeavors to automate the inspection process using the YOLOv8… More >

  • Open Access

    REVIEW

    A Systematic Review of Computer Vision Techniques for Quality Control in End-of-Line Visual Inspection of Antenna Parts

    Zia Ullah1,2,*, Lin Qi1, E. J. Solteiro Pires2, Arsénio Reis2, Ricardo Rodrigues Nunes2

    CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2387-2421, 2024, DOI:10.32604/cmc.2024.047572 - 15 August 2024

    Abstract The rapid evolution of wireless communication technologies has underscored the critical role of antennas in ensuring seamless connectivity. Antenna defects, ranging from manufacturing imperfections to environmental wear, pose significant challenges to the reliability and performance of communication systems. This review paper navigates the landscape of antenna defect detection, emphasizing the need for a nuanced understanding of various defect types and the associated challenges in visual detection. This review paper serves as a valuable resource for researchers, engineers, and practitioners engaged in the design and maintenance of communication systems. The insights presented here pave the way… More >

  • Open Access

    ARTICLE

    A Hybrid Manufacturing Process Monitoring Method Using Stacked Gated Recurrent Unit and Random Forest

    Chao-Lung Yang1,*, Atinkut Atinafu Yilma1,2, Bereket Haile Woldegiorgis2, Hendrik Tampubolon3,4, Hendri Sutrisno5

    Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 233-254, 2024, DOI:10.32604/iasc.2024.043091 - 21 May 2024

    Abstract This study proposed a new real-time manufacturing process monitoring method to monitor and detect process shifts in manufacturing operations. Since real-time production process monitoring is critical in today’s smart manufacturing. The more robust the monitoring model, the more reliable a process is to be under control. In the past, many researchers have developed real-time monitoring methods to detect process shifts early. However, these methods have limitations in detecting process shifts as quickly as possible and handling various data volumes and varieties. In this paper, a robust monitoring model combining Gated Recurrent Unit (GRU) and Random… More >

  • Open Access

    ARTICLE

    Safety-Constrained Multi-Agent Reinforcement Learning for Power Quality Control in Distributed Renewable Energy Networks

    Yongjiang Zhao, Haoyi Zhong, Chang Cyoon Lim*

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 449-471, 2024, DOI:10.32604/cmc.2024.048771 - 25 April 2024

    Abstract This paper examines the difficulties of managing distributed power systems, notably due to the increasing use of renewable energy sources, and focuses on voltage control challenges exacerbated by their variable nature in modern power grids. To tackle the unique challenges of voltage control in distributed renewable energy networks, researchers are increasingly turning towards multi-agent reinforcement learning (MARL). However, MARL raises safety concerns due to the unpredictability in agent actions during their exploration phase. This unpredictability can lead to unsafe control measures. To mitigate these safety concerns in MARL-based voltage control, our study introduces a novel… More >

  • Open Access

    ARTICLE

    Protein Disulfide Isomerase and Its Potential Function on Endoplasmic Reticulum Quality Control in Diatom Phaeodactylum tricornutum

    Yanhuan Lin1,#, Hua Du2,#, Zhitao Ye2, Shuqi Wang2, Zhen Wang2, Xiaojuan Liu2,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.1, pp. 137-150, 2024, DOI:10.32604/phyton.2023.044996 - 26 January 2024

    Abstract PDI is a molecular chaperone and plays an important role in Endoplasmic Reticulum quality control (ERQC). PDI participates in the refolding of the misfolded/unfolded proteins to maintain cellular homeostasis under different stresses. However, bioinformatic characteristics and potential functions of PDIs in diatom Phaeodactylum tricornutum (Pt) are still unknown so far. Hence, the genome-wide characteristics of PtPDI proteins in P. tricornutum were first studied via bioinformatic and transcriptomic methods. 42 PtPDI genes were identified from the genome of P. tricornutum. The motif, protein structure, classification, number of introns, phylogenetic relationship, and the expression level of 42 PtPDI genes under… More >

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