Xionglve Li¹, Changsheng Hou^2,*, Yuzhou Huang³, Zhenyu Qiu¹, Gang Hu¹, Bingnan Hou¹, Wei Dong¹, Zhiping Cai¹

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.080452 - 15 June 2026

Abstract The Internet inter-domain paths, i.e., the AS paths, are important for network management, traffic engineering, and security. Due to business confidentiality, security, and privacy, the AS path information is non-public. Due to limited measurement resources, obtaining AS path information by measurement-based approaches is not scalable. Therefore, path inference approaches are proposed to broaden the availability of path information. These approaches assume that AS paths remain stable over a certain period of time, yet conflicting research findings question this assumption. Furthermore, the duration of the “certain period of time” is not clearly defined. Thus, we aim… More >

Ying Tang¹, Chuanyi Ma², Feng Guo^1,*, Wenhao Sun¹

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.079851 - 15 June 2026

Abstract Road Abandoned Objects (RAOs) pose significant threats to traffic safety, particularly due to their small size, irregular shapes, and unpredictable distribution in complex road environments. The primary objective of this study is to develop an accurate and real-time detection framework for RAOs while maintaining low computational cost for practical deployment. To achieve this, we propose RAO-YOLO, a lightweight vision-based detection framework built upon an enhanced YOLO architecture. Specifically, a Mixed Aggregation Network (MANet) is introduced to improve multi-scale feature representation, and a Lightweight Shared Detail-Enhanced Detection (LSDD) head is designed to enhance localization accuracy for More >

Minyan Zhan¹, Wei Yang^2,3, Minghao Wu^4,*, Hsin-Yi Wang⁵, Yu-Hsien Ho⁵

Structural Durability & Health Monitoring, Vol.20, No.3, 2026, DOI:10.32604/sdhm.2026.077926 - 18 May 2026

Abstract The inclination of wooden columns is a key indicator for evaluating the structural safety of traditional timber buildings in China. However, accurate measurement is challenging because these columns typically exhibit natural tapering, with diameters decreasing from the base to the top, and surface irregularities such as artificial cuts, cracks, and knots. Both the intrinsic geometric characteristics and surface defects reduce the precision of coordinate acquisition and the reliability of inclination estimation. To overcome these limitations, this study proposes a novel inclination measurement method for wooden columns in traditional timber buildings based on multi-section measurement and… More >

Bing Xiong¹, Zhuoxiong Li¹, Yongqing Liu¹, Yu Tang¹, Jinyuan Zhao^2,*

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.078464 - 08 May 2026

Abstract Persistent Infrequent Flows (PIFs) refer to the packet flows that last for a long time but always at low frequencies in network traffic. Accurate identification of the PIFs plays a vital role in intrusion detection, attack prevention, traffic engineering, and other network fields. However, existing methods often require to save all flows for finding out the PIFs due to their infrequency feature, which brings about the problem of low identification accuracy and high memory overhead. To solve this problem, this paper proposes an accurate PIF identification method with low overhead called PIF-Identifier, composed of a… More >

Sheng Luo¹, Rashid Abbasi^1,*, Hao Wang², Jinghua Xu³, Dongyang Lyu⁴, Aaron Zhang¹, Farhan Amin^5,*, Isabel de la Torre⁶, Gerardo Mendez Mezquita⁷, Henry Fabian Gongora⁷

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.075080 - 30 March 2026

Abstract Human pose estimation is crucial across diverse applications, from healthcare to human–computer interaction. Integrating inertial measurement units (IMUs) with monocular vision methods holds great potential for leveraging complementary modalities; however, existing approaches are often limited by IMU drift, noise, and underutilization of visual information. To address these limitations, we propose a novel dual-stream feature extraction framework that effectively combines temporal IMU data and single-view image features for improved pose estimation. Short-term dependencies in IMU sequences are captured with convolutional layers, while a Transformer-based architecture models long-range temporal dynamics. To mitigate IMU drift and inter-sensor inconsistencies, More >

Muhamad Hakimi Sahbudin¹, Noraain Mohamed Saraf^1,*, Saiful Aman Sulaiman¹, Abdul Rauf Abdul Rasam², Nafisah Khalid¹, Lau Chong Luh¹

Revue Internationale de Géomatique, Vol.35, pp. 101-120, 2026, DOI:10.32604/rig.2026.072359 - 24 February 2026

Abstract The integration of Light Detection and Ranging (LiDAR) technology into consumer electronics like smartphones has created new opportunities for the use of three-dimensional (3D) modelling, especially in the domains of infrastructure inspection and civil engineering. This paper presents the accuracy of a 3D bridge model generated using a smartphone LiDAR application in comparison with conventional surveying methods. In this study, LiDAR data were captured using an iPhone 13 Pro and processed to generate 3D models. The accuracy of the generated model was then validated against reference data obtained from a tacheometry survey, which served as… More >

Langyue Zhao^1,2, Yubin Yuan^3,*, Yiquan Wu^2,*

CMC-Computers, Materials & Continua, Vol.87, No.1, 2026, DOI:10.32604/cmc.2025.070563 - 10 February 2026

Abstract Regular detection of pavement cracks is essential for infrastructure maintenance. However, existing methods often ignore the challenges such as the continuous evolution of crack features between video frames and the difficulty of defect quantification. To this end, this paper proposes an integrated framework for pavement crack detection, segmentation, tracking and counting based on Transformer. Firstly, we design the VitSeg-Det network, which is an integrated detection and segmentation network that can accurately locate and segment tiny cracks in complex scenes. Second, the TransTra-Count system is developed to automatically count the number of defects by combining defect More >

Miriam Di Matteo^*, Domiziana Vespasiano, Gianluigi Lo Basso, Costanza Vittoria Fiorini, Andrea Vallati

Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.064353 - 27 January 2026

Abstract Decarbonising the building sector, particularly residential heating, represents a critical challenge for achieving carbon-neutral energy systems. Efficient solutions must integrate both technological performance and renewable energy sources while considering operational constraints of existing systems. This study investigates a hybrid heating system combining a natural gas boiler (NGB) with an air-to-water heat pump (AWHP), evaluated through a combination of laboratory experiments and dynamic modelling. A prototype developed in the Electrical and Energy Engineering Laboratory enabled the characterization of both heat generators, the collection of experimental data, and the calibration of a MATLAB/Simulink model, including emissions and… More >

Weichen Wang¹, Shaofeng Wang¹, Wenjing Liu^1,*, Luncai Zhou², Erqing Zhang¹, Ting Gao³, Grigory Petrishin⁴

Structural Durability & Health Monitoring, Vol.20, No.1, 2026, DOI:10.32604/sdhm.2025.071278 - 08 January 2026

Abstract In dry-coupled ultrasonic thickness measurement, thick rubber layers introduce high-amplitude parasitic echoes that obscure defect signals and degrade thickness accuracy. Existing methods struggle to resolve overlap-ping echoes under variable coupling conditions and non-stationary noise. This study proposes a novel dual-criterion framework integrating energy contribution and statistical impulsivity metrics to isolate specimen re-flections from coupling-layer interference. By decomposing A-scan signals into Intrinsic Mode Functions (IMFs), the framework employs energy contribution thresholds (>85%) and kurtosis indices (>3) to autonomously select IMFs containing valid specimen echoes. Hybrid time-frequency thresholding further suppresses interference through amplitude filtering and spectral focusing. More >

Qinghua Wang^*, Yi Zhu

The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-2, 2025, DOI:10.32604/icces.2025.012693

Abstract This study presents a robust and automated image registration framework designed to enhance the precision and efficiency of full-field deformation measurement in experimental mechanics applications. Traditional optical techniques, such as the sampling moiré method, rely on manual alignment processes that introduce significant errors and inefficiencies, particularly when analyzing large datasets or operating under dynamic experimental conditions. Addressing these limitations, the proposed method integrates the Maximally Stable Extremal Regions (MSER) algorithm to automate the alignment of grating images with sub-pixel accuracy. The technique is specifically tailored to handle challenges arising from high-noise environments and complex deformation… More >