K. Sinivasan¹, N. Vishnu Ganesh^1,*, G. Hirankumar², M. Al-Mdallal Qasem^3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.5, pp. 1029-1049, 2025, DOI:10.32604/fdmp.2025.064503 - 30 May 2025

Abstract In this study, an analytical investigation is carried out to assess the impact of magnetic field-dependent (MFD) viscosity on the momentum and heat transfers inside the boundary layer of a Jeffrey fluid flowing over a horizontally elongating sheet, while taking into account the effects of ohmic dissipation. By applying similarity transformations, the original nonlinear governing equations with partial derivatives are transformed into ordinary differential equations. Analytical expressions for the momentum and energy equations are derived, incorporating the influence of MFD viscosity on the Jeffrey fluid. Then the impact of different parameters is assessed, including magnetic More >

Linlan Chang¹, Win-Jet Luo^1,2, Indra Permana², Bowo Yuli Prasetyo³, Alya Penta Agharid¹, Fujen Wang^2,*

Energy Engineering, Vol.122, No.5, pp. 1771-1787, 2025, DOI:10.32604/ee.2025.062209 - 25 April 2025

Abstract Heating, Ventilation, and Air Conditioning (HVAC) systems are critical for maintaining thermal comfort in office environments which also crucial for occupant well-being and productivity. This study investigates the impact of integrating ceiling fans with higher air conditioning setpoints on thermal comfort and energy efficiency in office environments. Field measurements and questionnaire surveys were conducted to evaluate thermal comfort and energy-saving potential under varying conditions. Results show that increasing the AC setpoint from 25°C to 27°C, combined with ceiling fan operation, reduced power consumption by 10%, achieving significant energy savings. Survey data confirmed that 85% of… More >

Xiangbin Wang¹, Qingjun Yuan^1,*, Weina Niu², Qianwei Meng¹, Yongjuan Wang¹, Chunxiang Gu¹

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2267-2285, 2025, DOI:10.32604/cmc.2025.061767 - 16 April 2025

Abstract With the rise of encrypted traffic, traditional network analysis methods have become less effective, leading to a shift towards deep learning-based approaches. Among these, multimodal learning-based classification methods have gained attention due to their ability to leverage diverse feature sets from encrypted traffic, improving classification accuracy. However, existing research predominantly relies on late fusion techniques, which hinder the full utilization of deep features within the data. To address this limitation, we propose a novel multimodal encrypted traffic classification model that synchronizes modality fusion with multiscale feature extraction. Specifically, our approach performs real-time fusion of modalities More >

Taoxi Wang¹, Zhuo Liu^1,2, Fu Jian¹, Xing Shen¹, Chen Wang¹, Huwei Bian³, Tao Jiang^3,*, Wei Min Huang⁴

Journal of Polymer Materials, Vol.42, No.1, pp. 81-94, 2025, DOI:10.32604/jpm.2025.061047 - 27 March 2025

Abstract This paper presents the development of a thermoplastic shape memory rubber that can be programmed at human body temperature for comfortable fitting applications. We hybridized commercially available thermoplastic rubber (TPR) used in the footwear industry with un-crosslinked polycaprolactone (PCL) to create two samples, namely TP6040 and TP7030. The shape memory behavior, elasticity, and thermo-mechanical response of these rubbers were systematically investigated. The experimental results demonstrated outstanding shape memory performance, with both samples achieving shape fixity ratios (R_f) and shape recovery ratios (R_r) exceeding 94%. TP6040 exhibited a fitting time of 80 s at body temperature (37°C), More >

Ziyang Niu^1,#, Xiaofen Wang^2,4,#, Yuanyuan Li^1,2,3,*, Zhuo He², Feng Huang¹, Qianjun Deng², Fei Hu², Qiongyu Zhou^2,*

Journal of Polymer Materials, Vol.42, No.1, pp. 57-80, 2025, DOI:10.32604/jpm.2025.060401 - 27 March 2025

Abstract Proton exchange membrane fuel cells (PEMFCs) have gained increasing interests as promising power sources due to their ability to convert hydrogen and oxygen directly into electricity with high efficiency and zero greenhouse gas emissions. Bipolar plates (BPs) are considered as a critical component of PEMFCs, serving to collect current, separate gases, distribute the flow field, and conduct heat. This paper reviews the technical status and advancements in BP materials, with special focus on strategies for enhancing interfacial contact resistance (ICR) and corrosion resistance through conductive polymer (CP) coatings. First, commonly used BP materials in PEMFCs More >

Gang Hao, Peng Liang^*, Ziyuan Li, Huimin Zhao, Hong Zhang

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 5221-5238, 2025, DOI:10.32604/cmc.2025.055739 - 06 March 2025

Abstract In recent years, the detection of image copy-move forgery (CMFD) has become a critical challenge in verifying the authenticity of digital images, particularly as image manipulation techniques evolve rapidly. While deep convolutional neural networks (DCNNs) have been widely employed for CMFD tasks, they are often hindered by a notable limitation: the progressive reduction in spatial resolution during the encoding process, which leads to the loss of critical image details. These details are essential for the accurate detection and localization of image copy-move forgery. To overcome the limitations of existing methods, this paper proposes a Transformer-based… More >

Abubakar Unguwanrimi Yakubu^1,2,4, Jiahao Zhao¹, Qi Jiang¹, Xuanhong Ye¹, Junyi Liu¹, Qinglong Yu¹, Shusheng Xiong^1,3,4,*

Energy Engineering, Vol.122, No.3, pp. 1025-1051, 2025, DOI:10.32604/ee.2025.057680 - 07 March 2025

Abstract This study uses numerical simulations of liquid cooling flow fields to investigate polymer exchange membrane fuel cell (PEMFC) thermal control. The research shows that the optimum cooling channel design significantly reduces the fuel cell’s temperature differential, improving overall efficiency. Specifically, the simulations show a reduction in the maximum temperature by up to 15% compared to traditional designs. Additionally, according to analysis, the Nusselt number rises by 20% with the implementation of serpentine flow patterns, leading to enhanced heat transfer rates. The findings demonstrate that effective cooling strategies can lead to a 10% increase in fuel More >

Ziyi Wang^1,2, Sen Li^1,2,*, Xiaolin Wei^1,2, Jing Zhao¹, Bo Li¹, Yuan Yao¹

Frontiers in Heat and Mass Transfer, Vol.23, No.1, pp. 163-184, 2025, DOI:10.32604/fhmt.2024.059740 - 26 February 2025

Abstract In the novel fully dry converter gas recovery process, a novel circumfluent cyclone separator with an evaporation heating surface can simultaneously realize the dust removal and sensible heat recovery of converter gas. For this equipment, the distributions of internal flow and wall heat transfer affect the efficiency of dust removal and sensible heat recovery. In this study, based on on-site operation tests, the distributions of internal flow and wall heat transfer in the circumfluent cyclone separator are studied by numerical simulation. The results indicate that the flow rate proportions in different regions of the circumfluent More >

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 >

Na Deng, Jiuan Zhang^*

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2235-2254, 2025, DOI:10.32604/cmc.2024.058103 - 17 February 2025

Abstract Rapid and accurate identification of high-quality patents can accelerate the transformation process of scientific and technological achievements, optimize the management of intellectual property rights and enhance the vitality of innovation. Aiming at the shortcomings of the traditional high-value patent assessment method, which is relatively simple and seldom considers the influence of patentees, this paper proposes a high-quality patent method HMFM (High-Value Patent Multi-Feature Fusion Method) that fuses multi-dimensional features. A weighted node importance assessment method in complex network called GLE (Glob-Local-struEntropy) based on improved structural entropy is designed to calculate the influence of the patentee More >