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  • Open Access

    ARTICLE

    A Multi-Stage Pipeline for Date Fruit Processing: Integrating YOLOv11 Detection, Classification, and Automated Counting

    Ali S. Alzaharani, Abid Iqbal*

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-27, 2026, DOI:10.32604/cmc.2025.070410 - 10 November 2025

    Abstract In this study, an automated multimodal system for detecting, classifying, and dating fruit was developed using a two-stage YOLOv11 pipeline. In the first stage, the YOLOv11 detection model locates individual date fruits in real time by drawing bounding boxes around them. These bounding boxes are subsequently passed to a YOLOv11 classification model, which analyzes cropped images and assigns class labels. An additional counting module automatically tallies the detected fruits, offering a near-instantaneous estimation of quantity. The experimental results suggest high precision and recall for detection, high classification accuracy (across 15 classes), and near-perfect counting in More >

  • Open Access

    ARTICLE

    Use of Scaled Models to Evaluate Reinforcement Efficiency in Damaged Main Gas Pipelines to Prevent Avalanche Failure

    Nurlan Zhangabay1,*, Marco Bonopera2,*, Konstantin Avramov3, Maryna Chernobryvko3, Svetlana Buganova4

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 241-261, 2025, DOI:10.32604/cmes.2025.069544 - 30 October 2025

    Abstract This research extends ongoing efforts to develop methods for reinforcing damaged main gas pipelines to prevent catastrophic failure. This study establishes the use of scaled-down experimental models for assessing the dynamic strength of damaged pipeline sections reinforced with wire wrapping or composite sleeves. A generalized dynamic model is introduced for numerical simulation to evaluate the effectiveness of reinforcement techniques. The model incorporates the elastoplastic behavior of pipe and wire materials, the influence of temperature on mechanical properties, the contact interaction between the pipe and the reinforcement components (including pretensioning), and local material failure under transient… More >

  • Open Access

    ARTICLE

    Numerical and Experimental Study of Thermal Storage Energy in a Building with Various Pipeline Design under Floor—Case Study

    Rafah H. Zaidan*, Najim A. Jasim

    Frontiers in Heat and Mass Transfer, Vol.23, No.5, pp. 1595-1620, 2025, DOI:10.32604/fhmt.2025.068205 - 31 October 2025

    Abstract This paper presents a comprehensive experimental and numerical investigation of radiant floor heating (RFH) systems integrated with phase change material (PCM)-based thermal energy storage (TES). The study compares two underfloor pipe configurations: double serpentine and spiral. It also looks at how well a paraffin wax PCM system works with compact heat exchanger-type TES units during winter in Iraq. Key performance indicators including discharge temperature, heat transfer rate, liquid fraction evolution, and temperature uniformity were assessed through in situ experimental measurements and ANSYS fluent simulations. Results demonstrate that the spiral design provides slightly more uniform temperature distribution… More >

  • Open Access

    ARTICLE

    A Hybrid Deep Learning Pipeline for Wearable Sensors-Based Human Activity Recognition

    Asaad Algarni1, Iqra Aijaz Abro2, Mohammed Alshehri3, Yahya AlQahtani4, Abdulmonem Alshahrani4, Hui Liu5,*

    CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5879-5896, 2025, DOI:10.32604/cmc.2025.064601 - 30 July 2025

    Abstract Inertial Sensor-based Daily Activity Recognition (IS-DAR) requires adaptable, data-efficient methods for effective multi-sensor use. This study presents an advanced detection system using body-worn sensors to accurately recognize activities. A structured pipeline enhances IS-DAR by applying signal preprocessing, feature extraction and optimization, followed by classification. Before segmentation, a Chebyshev filter removes noise, and Blackman windowing improves signal representation. Discriminative features—Gaussian Mixture Model (GMM) with Mel-Frequency Cepstral Coefficients (MFCC), spectral entropy, quaternion-based features, and Gammatone Cepstral Coefficients (GCC)—are fused to expand the feature space. Unlike existing approaches, the proposed IS-DAR system uniquely integrates diverse handcrafted features using… More >

  • Open Access

    ARTICLE

    Research on a Simulation Platform for Typical Internal Corrosion Defects in Natural Gas Pipelines Based on Big Data Analysis

    Changchao Qi1, Lingdi Fu1, Ming Wen1, Hao Qian2, Shuai Zhao1,*

    Structural Durability & Health Monitoring, Vol.19, No.4, pp. 1073-1087, 2025, DOI:10.32604/sdhm.2025.061898 - 30 June 2025

    Abstract The accuracy and reliability of non-destructive testing (NDT) approaches in detecting interior corrosion problems are critical, yet research in this field is limited. This work describes a novel way to monitor the structural integrity of steel gas pipelines that uses advanced numerical modeling techniques to anticipate fracture development and corrosion effects. The objective is to increase pipeline dependability and safety through more precise, real-time health evaluations. Compared to previous approaches, our solution provides higher accuracy in fault detection and quantification, making it ideal for pipeline integrity monitoring in real-world applications. To solve this issue, statistical… More >

  • Open Access

    ARTICLE

    Numerical Simulation of Residual Strength for Corroded Pipelines

    Yaojin Fan, Huaqing Dong*, Zixuan Zong, Tingting Long, Qianglin Huang, Guoqiang Huang

    Structural Durability & Health Monitoring, Vol.19, No.3, pp. 731-769, 2025, DOI:10.32604/sdhm.2025.061056 - 03 April 2025

    Abstract This study presents a comprehensive investigation of residual strength in corroded pipelines within the Yichang-Qianjiang section of the Sichuan-East Gas Pipeline, integrating advanced numerical simulation with experimental validation. The research methodology incorporates three distinct parameter grouping approaches: a random group based on statistical analysis of 389 actual corrosion defects detected during 2023 MFL inspection, a deviation group representing historically documented failure scenarios, and a structural group examining systematic parameter variations. Using ABAQUS finite element software, we developed a dynamic implicit analysis model incorporating geometric nonlinearity and validated it through 1:12.7 scaled model testing, achieving prediction… More >

  • Open Access

    REVIEW

    Significant Advancements in UAV Technology for Reliable Oil and Gas Pipeline Monitoring

    Ibrahim Akinjobi Aromoye1, Hai Hiung Lo1, Patrick Sebastian1, Ghulam E Mustafa Abro2,*, Shehu Lukman Ayinla1,3

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1155-1197, 2025, DOI:10.32604/cmes.2025.058598 - 27 January 2025

    Abstract Unmanned aerial vehicles (UAVs) technology is rapidly advancing, offering innovative solutions for various industries, including the critical task of oil and gas pipeline surveillance. However, the limited flight time of conventional UAVs presents a significant challenge to comprehensive and continuous monitoring, which is crucial for maintaining the integrity of pipeline infrastructure. This review paper evaluates methods for extending UAV flight endurance, focusing on their potential application in pipeline inspection. Through an extensive literature review, this study identifies the latest advancements in UAV technology, evaluates their effectiveness, and highlights the existing gaps in achieving prolonged flight… More > Graphic Abstract

    Significant Advancements in UAV Technology for Reliable Oil and Gas Pipeline Monitoring

  • Open Access

    ARTICLE

    Novel Methodologies for Preventing Crack Propagation in Steel Gas Pipelines Considering the Temperature Effect

    Nurlan Zhangabay1,*, Ulzhan Ibraimova2, Marco Bonopera3,*, Ulanbator Suleimenov1, Konstantin Avramov4, Maryna Chernobryvko4, Aigerim Yessengali1

    Structural Durability & Health Monitoring, Vol.19, No.1, pp. 1-23, 2025, DOI:10.32604/sdhm.2024.053391 - 15 November 2024

    Abstract Using the software ANSYS-19.2/Explicit Dynamics, this study performed finite-element modeling of the large-diameter steel pipeline cross-section for the Beineu-Bozoy-Shymkent gas pipeline with a non-through straight crack, strengthened by steel wire wrapping. The effects of the thread tensile force of the steel winding in the form of single rings at the crack edges and the wires with different winding diameters and pitches were also studied. The results showed that the strengthening was preferably executed at a minimum value of the thread tensile force, which was 6.4% more effective than that at its maximum value. The analysis… More >

  • Open Access

    ARTICLE

    Numerical Simulation of Gas-Solid Flow Processes in an Ash Conveying Pipeline with Multiple Feeds

    Kairuo Chen1, He Wang1,*, Xiangliang Wang2

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.12, pp. 2721-2739, 2024, DOI:10.32604/fdmp.2024.055174 - 23 December 2024

    Abstract Pneumatic conveying technology, as an efficient material transportation method, has been widely used in various industrial fields. To study the powder transportation in horizontal ash conveying pipes, this study relies on the Computational Particle Fluid Dynamics (CPFD) numerical method. The characteristics of the gas-solid two-phase flow under continuous air supply conditions are analyzed, and the effects on particle movement of factors such as feed port spacing, inlet air velocity, and the number of discharge ports are explored accordingly. The research results show that when the inlet velocity is 5 m/s, adjacent discharged particles come into More >

  • Open Access

    ARTICLE

    Far-Field Behavior of Supercritical CO2 Being Dispersed Due to Leakage from Pipelines

    Yanbo Shao1, Xuewen Cao1,*, Wei You1, Shan Zhao1, Zilong Nan2, Jiang Bian1,3,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.12, pp. 2867-2885, 2024, DOI:10.32604/fdmp.2024.053774 - 23 December 2024

    Abstract Transporting massive quantities of carbon dioxide through a pipeline in its supercritical state is extremely convenient. Because of the unique properties of supercritical carbon dioxide, however, leakage occurring in such conditions can be extremely intricate, resulting in the dispersion area following leakage being influenced by numerous factors. In this study, this problem is addressed in the frame of the so-called Unified Dispersion Model (UDM), and various influential parameters are considered, namely, leakage pressure, leakage temperature, leakage aperture, leakage angle, atmospheric stability, wind speed, and surface roughness. The results show that the supercritical carbon dioxide dispersion More >

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