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  • Open Access

    ARTICLE

    kProtoClust: Towards Adaptive k-Prototype Clustering without Known k

    Yuan Ping1,2,*, Huina Li1, Chun Guo3, Bin Hao4

    CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4949-4976, 2025, DOI:10.32604/cmc.2025.057693 - 06 March 2025

    Abstract Towards optimal k-prototype discovery, k-means-like algorithms give us inspirations of central samples collection, yet the unstable seed samples selection, the hypothesis of a circle-like pattern, and the unknown K are still challenges, particularly for non-predetermined data patterns. We propose an adaptive k-prototype clustering method (kProtoClust) which launches cluster exploration with a sketchy division of K clusters and finds evidence for splitting and merging. On behalf of a group of data samples, support vectors and outliers from the perspective of support vector data description are not the appropriate candidates for prototypes, while inner samples become the first candidates for… More >

  • Open Access

    ARTICLE

    SGP-GCN: A Spatial-Geological Perception Graph Convolutional Neural Network for Long-Term Petroleum Production Forecasting

    Xin Liu1,*, Meng Sun1, Bo Lin2, Shibo Gu1

    Energy Engineering, Vol.122, No.3, pp. 1053-1072, 2025, DOI:10.32604/ee.2025.060489 - 07 March 2025

    Abstract Long-term petroleum production forecasting is essential for the effective development and management of oilfields. Due to its ability to extract complex patterns, deep learning has gained popularity for production forecasting. However, existing deep learning models frequently overlook the selective utilization of information from other production wells, resulting in suboptimal performance in long-term production forecasting across multiple wells. To achieve accurate long-term petroleum production forecast, we propose a spatial-geological perception graph convolutional neural network (SGP-GCN) that accounts for the temporal, spatial, and geological dependencies inherent in petroleum production. Utilizing the attention mechanism, the SGP-GCN effectively captures… More >

  • Open Access

    ARTICLE

    Identifying Suitable Sites for CSP Plants Using AHP, Fuzzy AHP, and Full Consistency Method: A Case Study of CHAD

    Bernard Bayangbe1,*, Ababacar Thiam1,2, El hadji I. Cissé2, Kory Faye1

    Energy Engineering, Vol.122, No.3, pp. 943-969, 2025, DOI:10.32604/ee.2025.060273 - 07 March 2025

    Abstract Concentrating Solar Power (CSP) is one of the most promising solar technologies for sustainable power generation in countries with high solar potential, like Chad. Identifying suitable sites is of great importance for deploying solar power plants. This work focuses on the identification of potential sites for the installation of solar power plants in Chad as well as a comparative analysis using the Analytical Hierarchy Process (AHP), Fuzzy Analytical Hierarchy Process (FAHP), and Full Consistency Method (FUCOM). The results show that 35% of the Chadian territory, i.e., an area of 449,400 km2, is compatible with the implementation… More >

  • Open Access

    ARTICLE

    Thermal Performance and Economic Efficiency Comparison of Typical Shallow and Medium-Deep Borehole Heat Exchanger Heating Systems in Xi’an, China

    Yuze Xue1, Li Kou2,3, Guosheng Jia4,*, Liwen Jin4, Zhibin Zhang4, Jianke Hao4, Lip Huat Saw5,*

    Energy Engineering, Vol.122, No.3, pp. 1005-1024, 2025, DOI:10.32604/ee.2025.059198 - 07 March 2025

    Abstract Geothermal energy, a form of renewable energy, has been extensively utilized for building heating. However, there is a lack of detailed comparative studies on the use of shallow and medium-deep geothermal energy in building energy systems, which are essential for decision-making. Therefore, this paper presents a comparative study of the performance and economic analysis of shallow and medium-deep borehole heat exchanger heating systems. Based on the geological parameters of Xi’an, China and commonly used borehole heat exchanger structures, numerical simulation methods are employed to analyze performance and economic efficiency. The results indicate that increasing the… More > Graphic Abstract

    Thermal Performance and Economic Efficiency Comparison of Typical Shallow and Medium-Deep Borehole Heat Exchanger Heating Systems in Xi’an, China

  • Open Access

    ARTICLE

    Developing Different Models in QGIS for Determining Tourism Climate Comfort Using Remote Sensing and GIS

    Efdal Kaya*

    Revue Internationale de Géomatique, Vol.34, pp. 103-123, 2025, DOI:10.32604/rig.2025.060420 - 24 February 2025

    Abstract Global warming leads to climate change and hence effects tourism activities. Bioclimatic comfort indices are used to understand the changing climates of outdoor tourism. In this study, the models for the automatic calculation of the tourism climate index (TCI), heat index (HI), and new summer simmer index (NSSI) from bioclimatic comfort indices are used to determine the climatic conditions of outdoor tourism. The study compared the maps generated by the models with those manually created maps in ArcGIS. In order to statistically reveal how accurately the models produced maps, the relationship between the maps obtained… More >

  • Open Access

    ARTICLE

    GPU-Enabled Isogometric Topology Optimization with Bėzier Element Stiffness Mapping

    Xuesong Li1, Shuting Wang1,2, Nianmeng Luo1,*, Aodi Yang1, Xing Yuan1, Xianda Xie2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1481-1514, 2025, DOI:10.32604/cmes.2024.058798 - 27 January 2025

    Abstract Due to the high-order B-spline basis functions utilized in isogeometric analysis (IGA) and the repeatedly updating global stiffness matrix of topology optimization, Isogeometric topology optimization (ITO) intrinsically suffers from the computationally demanding process. In this work, we address the efficiency problem existing in the assembling stiffness matrix and sensitivity analysis using Bėzier element stiffness mapping. The Element-wise and Interaction-wise parallel computing frameworks for updating the global stiffness matrix are proposed for ITO with Bėzier element stiffness mapping, which differs from these ones with the traditional Gaussian integrals utilized. Since the explicit stiffness computation formula derived… More >

  • Open Access

    ARTICLE

    A Geometric Model Simplification Strategy for CFD Simulation of the Cockpit Internal Environment

    Meng Zhao1, Jiaao Liu2, Yudi Liu3, Zhengwei Long1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1545-1564, 2025, DOI:10.32604/cmes.2025.058773 - 27 January 2025

    Abstract Computational Fluids Dynamics (CFD) simulations are essential for optimizing the design of a cockpit’s internal environment, but the complex geometric models consume a significant amount of computational resources and time. Arbitrary simplification of geometric models may result in inaccurate calculations of physical fields. To address this issue, this study establishes a geometric model simplification strategy and successfully applies it to a cockpit. The implementation of the whole approach is divided into three steps, summarized in three methods, namely Sensitivity Analysis Method (SAM), Detail Suppression Method (DSM), and Evaluation Standards Method (ESM). Sensitivity analysis of the More >

  • Open Access

    ARTICLE

    An SPH Framework for Earthquake-Induced Liquefaction Hazard Assessment of Geotechnical Structures

    Sourabh Mhaski*, G. V. Ramana

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 251-277, 2025, DOI:10.32604/cmes.2024.055963 - 17 December 2024

    Abstract Earthquake-induced soil liquefaction poses significant risks to the stability of geotechnical structures worldwide. An understanding of the liquefaction triggering, and the post-failure large deformation behaviour is essential for designing resilient infrastructure. The present study develops a Smoothed Particle Hydrodynamics (SPH) framework for earthquake-induced liquefaction hazard assessment of geotechnical structures. The coupled flow-deformation behaviour of soils subjected to cyclic loading is described using the PM4Sand model implemented in a three-phase, single-layer SPH framework. A staggered discretisation scheme based on the stress particle SPH approach is adopted to minimise numerical inaccuracies caused by zero-energy modes and tensile… More >

  • Open Access

    COMMENTARY

    Prostate cancer and testosterone: what does the prostate cancer surgeon need to know?

    Judd W. Moul

    Canadian Journal of Urology, Vol.31, No.4, pp. 11941-11942, 2024

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Robust Human Interaction Recognition Using Extended Kalman Filter

    Tanvir Fatima Naik Bukht1, Abdulwahab Alazeb2, Naif Al Mudawi2, Bayan Alabdullah3, Khaled Alnowaiser4, Ahmad Jalal1, Hui Liu5,*

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2987-3002, 2024, DOI:10.32604/cmc.2024.053547 - 18 November 2024

    Abstract In the field of computer vision and pattern recognition, knowledge based on images of human activity has gained popularity as a research topic. Activity recognition is the process of determining human behavior based on an image. We implemented an Extended Kalman filter to create an activity recognition system here. The proposed method applies an HSI color transformation in its initial stages to improve the clarity of the frame of the image. To minimize noise, we use Gaussian filters. Extraction of silhouette using the statistical method. We use Binary Robust Invariant Scalable Keypoints (BRISK) and SIFT More >

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