Maram Alkhayyal^*, Almetwally M. Mostafa

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1079-1100, 2025, DOI:10.32604/cmc.2025.061836 - 26 March 2025

Abstract The rapid expansion of the Internet of Things (IoT) has led to the widespread adoption of sensor networks, with Long-Range Wide-Area Networks (LoRaWANs) emerging as a key technology due to their ability to support long-range communication while minimizing power consumption. However, optimizing network performance and energy efficiency in dynamic, large-scale IoT environments remains a significant challenge. Traditional methods, such as the Adaptive Data Rate (ADR) algorithm, often fail to adapt effectively to rapidly changing network conditions and environmental factors. This study introduces a hybrid approach that leverages Deep Learning (DL) techniques, namely Long Short-Term Memory… More >

Zhicheng Yin^1,2, Lang Li^1,2,*, Yu Ou^1,2

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1001-1022, 2025, DOI:10.32604/cmc.2025.060925 - 26 March 2025

Abstract The adoption of deep learning-based side-channel analysis (DL-SCA) is crucial for leak detection in secure products. Many previous studies have applied this method to break targets protected with countermeasures. Despite the increasing number of studies, the problem of model overfitting. Recent research mainly focuses on exploring hyperparameters and network architectures, while offering limited insights into the effects of external factors on side-channel attacks, such as the number and type of models. This paper proposes a Side-channel Analysis method based on a Stacking ensemble, called Stacking-SCA. In our method, multiple models are deeply integrated. Through the… More >

Bin Sun¹, Yinuo Wang¹, Tao Shen^1,*, Lu Zhang¹, Renkang Geng²

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4219-4236, 2025, DOI:10.32604/cmc.2025.060567 - 06 March 2025

Abstract Traffic datasets exhibit complex spatiotemporal characteristics, including significant fluctuations in traffic volume and intricate periodical patterns, which pose substantial challenges for the accurate forecasting and effective management of traffic conditions. Traditional forecasting models often struggle to adequately capture these complexities, leading to suboptimal predictive performance. While neural networks excel at modeling intricate and nonlinear data structures, they are also highly susceptible to overfitting, resulting in inefficient use of computational resources and decreased model generalization. This paper introduces a novel heuristic feature extraction method that synergistically combines the strengths of non-neural network algorithms with neural networks… More >

Zhengrong Shi^1,3, Hai Hong¹, Yanming Shen^2,*, Jingyong Cai^1,*

Energy Engineering, Vol.122, No.3, pp. 885-903, 2025, DOI:10.32604/ee.2025.061976 - 07 March 2025

Abstract Phase Change Material (PCM)-based cold energy storage system (CESS) can effectively utilize the peak and valley power resources to reduce the excessive dependence on the power grid. In this study, a PCM-based CESS was designed for cold storage applications. The optimal number of PCM plates was determined through numerical simulations to meet the required cold storage temperature and control time. Additionally, the air temperature field, flow field, and melting characteristics of the PCM plates during the cooling release process were analyzed. The effects of plate positioning and thickness on the cooling release performance were further… More >

Yuze Xue¹, Li Kou^2,3, Guosheng Jia^4,*, Liwen Jin⁴, Zhibin Zhang⁴, Jianke Hao⁴, Lip Huat Saw^5,*

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

Haishui Han¹, Jian Tan¹, Junshi Li¹, Changhong Zhao², Ruoyu Liu¹, Qun Zhang^3,4, Zemin Ji^3,4, Hao Kang^5,6,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.2, pp. 293-308, 2025, DOI:10.32604/fdmp.2025.058989 - 06 March 2025

Abstract To address the water sensitivity of conglomerate reservoirs, a series of core sensitivity tests were conducted to evaluate the effects of varying ionic content. These findings serve as a foundation for improving reservoir fluid dynamics and optimizing the concentration of anti-swelling agents in water flooding operations. The experiments revealed a marked disparity in response between cores with differing permeabilities. In Core No. 5, characterized by low permeability, a 0.5% anti-swelling agent achieved only a modest 7.47% reduction in water sensitivity. Conversely, in the higher-permeability Core No. 8, a 5% anti-swelling agent significantly reduced the… More >

Bailong Sun¹, Tian Li^1,*, Deng Qin¹, Yan Li²

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.2, pp. 371-385, 2025, DOI:10.32604/fdmp.2024.055519 - 06 March 2025

Abstract High-speed maglev trains (HSMTs) can run at high running speeds due to their unique design. The pressure waves that these trains generate while passing each other are therefore very intense, and can even have safety implications. In order to reduce the transient impact of such waves, the standard k-ε turbulence model is used in this work to assess the effect of railway spacing on the aerodynamic loads, pressure and surrounding flow field of 600 km/h maglev trains passing each other in open air. The sliding mesh technique is used to determine the relative motion between the More >

Mian Xia^1,2, Baoguo Xie^3,4, Lijun He^5,*, Jingru Chen⁶

International Journal of Mental Health Promotion, Vol.27, No.2, pp. 231-240, 2025, DOI:10.32604/ijmhp.2025.058878 - 03 March 2025

Abstract Objectives: Recently, how family-related factors influence employees’ mental health has garnered increasing attention from researchers and practitioners. Drawing on the cognitive appraisal theory of stress, this study aims to examine how and when family financial stress affects the employees’ mental health and investigate the mediating role of performance stress and the moderating role of workplace competition. Methods: A cross-sectional survey was conducted with 23,520 Chinese employees by using a voluntary and anonymous structured questionnaire, which included family financial stress, performance stress, symptom checklist 90 (SCL-90) scale, and workplace competition. The data were analyzed using SPSS… More >

Ahmed Mohamed Galal^1,2, Adebowale Martins Obalalu³, Akintayo Oladimeji Akindele⁴, Umair Khan^5,6, Abdulazeez Adebayo Usman⁷, Olalekan Adebayo Olayemi⁸, Najiyah Safwa Khashi’ie^9,*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 3089-3113, 2025, DOI:10.32604/cmes.2025.061296 - 03 March 2025

Abstract The need for efficient thermal energy systems has gained significant attention due to the growing global concern about renewable energy resources, particularly in residential buildings. One of the biggest challenges in this area is capturing and converting solar energy at maximum efficiency. This requires the use of strong materials and advanced fluids to enhance conversion efficiency while minimizing energy losses. Despite extensive research on thermal energy systems, there remains a limited understanding of how the combined effects of thermal radiation, irreversibility processes, and advanced heat flux models contribute to optimizing solar power performance in residential… More > Graphic Abstract

Shenghua Li¹, Kehan Liu², Bangxing Qian², Ziwei Wen², Bo Shi^2,*

Frontiers in Heat and Mass Transfer, Vol.23, No.1, pp. 231-248, 2025, DOI:10.32604/fhmt.2025.059963 - 26 February 2025

Abstract Phase change heat transfer devices like heat pipes are widely utilized in temperature control and heat transfer. However, the traditional single uniform wick makes it hard to meet the requirements of capillary pressure and permeability for high-performance heat pipes, thus limiting the improvement of heat transfer performance. In this paper, a gradient structure wick sintered by 316 L stainless steel powder is designed. The capillary performance is tested and characterized through permeability test experiments and capillary rise infrared test experiments. Moreover, the influence of different particle sizes of sintered powder on the capillary performance of More >