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  • Open Access

    CORRECTION

    Correction: Diabetic Retinopathy Diagnosis Using Interval Neutrosophic Segmentation with Deep Learning Model

    V. Thanikachalam1,*, M. G. Kavitha2, V. Sivamurugan1

    Computer Systems Science and Engineering, Vol., , DOI:10.32604/csse.2024.052484

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Bearing Fault Diagnosis Based on Optimized Feature Mode Decomposition and Improved Deep Belief Network

    Guangfei Jia*, Yanchao Meng, Zhiying Qin

    Structural Durability & Health Monitoring, Vol., , DOI:10.32604/sdhm.2024.049298

    Abstract The vibration signals of rolling bearings exhibit nonlinear and non-stationary characteristics under the influence of noise. In intelligent fault diagnosis, unprocessed signals will lead to weak fault characteristics and low diagnostic accuracy. To solve the above problem, a fault diagnosis method based on parameter optimization feature mode decomposition and improved deep belief networks is proposed. The feature mode decomposition is used to decompose the vibration signals. The parameter adaptation of feature mode decomposition is implemented by improved whale optimization algorithm including Levy flight strategy and adaptive weight. The selection of activation function and parameters is crucial in the application of… More >

  • Open Access

    ARTICLE

    Influence of Confined Concrete Models on the Seismic Response of RC Frames

    Hüseyin Bilgin*, Bredli Plaku

    Structural Durability & Health Monitoring, Vol., , DOI:10.32604/sdhm.2024.048645

    Abstract In this study, the influence of confined concrete models on the response of reinforced concrete structures is investigated at member and global system levels. The commonly encountered concrete models such as Modified Kent-Park, Saatçioğlu-Razvi, and Mander are considered. Two moment-resisting frames designed according to the pre-modern code are taken into consideration to reflect the example of an RC moment-resisting frame in the current building stock. The building is in an earthquake-prone zone located on Z3 Soil Type. The inelastic response of the building frame is modelled by considering the plastic hinges formed on each beam and column element for different… More >

  • Open Access

    ARTICLE

    Reinforcement Effect of Recycled CFRP on Cement-Based Composites: With a Comparison to Commercial Carbon Fiber Powder

    Hantao Huang, Zhifang Zhang*, Zhenhua Wu, Yao Liu

    Structural Durability & Health Monitoring, Vol., , DOI:10.32604/sdhm.2024.048597

    Abstract In this paper, recycled carbon fiber reinforced polymer (CFRP) mixture (CFRP-M, including recycled carbon fiber and powder) and refined recycled CFRP fiber (CFRP-F, mostly recycled carbon fiber) were added to cement to study the influence of addition on the flexural strength, compressive strength, and fluidity of cement-based materials. The recycled CFRP were prepared by mechanically processing the prepreg scraps generated during the manufacture of CFRP products. For comparison, commercial carbon fiber powder was also added in cement and the performance was compared to that of addition of recycled CFRP. The hydration products and strengthening mechanism of cement-based materials were analyzed… More >

  • Open Access

    REVIEW

    New Problems of Boiler Corrosion after Coupling Combustion of Coal and Biomass and Anti-Corrosion Technologies

    Lei Wang1, Ziran Ma1,*, Chunlin Zhao1, Jiali Zhou1, Hongyan Wang1, Ge Li1, Ningling Zhou2

    Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2024.047343

    Abstract This study explores the corrosion issues arising from the coupled combustion of coal and biomass and proposes potential solutions. Biomass, as a renewable energy source, offers advantages in energy-saving and carbon reduction. However, the corrosive effects of alkali metal compounds, sulfur (S) and chlorine (Cl) elements in the ash after combustion cannot be underestimated due to the high volatile content of biomass fuels. We investigate the corrosion mechanisms, as well as the transfer of Cl and alkali metal elements during this process. Comparative corrosion analyses are conducted among coal-fired boilers, pure biomass boilers and boilers with coupled combustion. Various biomass… More >

  • Open Access

    ARTICLE

    Chinese Adaptation and Psychometric Properties of the Belief in a Just World Scale for College Students

    Zhe Yu1,2, Shuping Yang1,*

    International Journal of Mental Health Promotion, Vol., , DOI:10.32604/ijmhp.2024.048342

    Abstract This study aims to revise the Belief in a Just World Scale (BJWS) for Chinese college students and test its reliability and validity (construct validity, convergent and divergent validity). Two samples of 546 and 595 college students were selected, respectively, using stratified cluster random sampling. Item analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), reliability analysis and convergent and divergent validity tests were carried out. The results showed that the 13 items of the BJWS have good item discrimination. The corrected item–total correlation in the general belief in a just world subscale was found to range from 0.464 to… More >

  • Open Access

    ARTICLE

    Numerical Examination of a Cavity Containing Nanofluid with an Upper Oscillating Wall and Baffle

    Kadhum Audaa Jehhef1, Ali J. Ali2, Salah H. Abid Aun1, Akram H. Abed3,*

    Frontiers in Heat and Mass Transfer, Vol., , DOI:10.32604/fhmt.2024.047814

    Abstract The cavity with lid-driven is greatly used in mixing, coating, and drying applications and is a substantial issue in the study of thermal performance rate and fluid field. A numerical approach is presented to study the thermal distribution and passage of fluid in a lid-driven cavity with an upper oscillating surface and an attached baffle. The walls of a cavity at the left and right were maintained at 350 and 293 K, respectively. The upper oscillating surface was equipped with a variable height to baffle to increase the convection of the three kinds of TiO2, Al2O3, and CuO nanofluids with… More >

  • Open Access

    ARTICLE

    On the Features of Thermal Convection in a Compressible Gas

    Igor B. Palymskiy1,2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol., , DOI:10.32604/fdmp.2024.048829

    Abstract The fully nonlinear equations of gas dynamics are solved in the framework of a numerical approach in order to study the stability of the steady mode of Rayleigh-Bénard convection in compressible, viscous and heat-conducting gases encapsulated in containers with no-slip boundaries and isothermal top and bottom walls. An initial linear temperature profile is assumed. A map of the possible convective modes is presented assuming the height of the region and the value of the temperature gradient as influential parameters. For a relatively small height, isobaric convection is found to take place, which is taken over by an adiabatic mode when… More >

  • Open Access

    ARTICLE

    Development of a Three-Dimensional Multiscale Octree SBFEM for Viscoelastic Problems of Heterogeneous Materials

    Xu Xu1, Xiaoteng Wang1, Haitian Yang1, Zhenjun Yang2, Yiqian He1,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2024.048199

    Abstract The multiscale method provides an effective approach for the numerical analysis of heterogeneous viscoelastic materials by reducing the degree of freedoms (DOFs). A basic framework of the Multiscale Scaled Boundary Finite Element Method (MsSBFEM) was presented in our previous works, but those works only addressed two-dimensional problems. In order to solve more realistic problems, a three-dimensional MsSBFEM is further developed in this article. In the proposed method, the octree SBFEM is used to deal with the three-dimensional calculation for numerical base functions to bridge small and large scales, the three-dimensional image-based analysis can be conveniently conducted in small-scale and coarse… More >

  • Open Access

    ARTICLE

    Hyperspectral Image Based Interpretable Feature Clustering Algorithm

    Yaming Kang1,*, Peishun Ye1, Yuxiu Bai1, Shi Qiu2

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.049360

    Abstract Hyperspectral imagery encompasses spectral and spatial dimensions, reflecting the material properties of objects. Its application proves crucial in search and rescue, concealed target identification, and crop growth analysis. Clustering is an important method of hyperspectral analysis. The vast data volume of hyperspectral imagery, coupled with redundant information, poses significant challenges in swiftly and accurately extracting features for subsequent analysis. The current hyperspectral feature clustering methods, which are mostly studied from space or spectrum, do not have strong interpretability, resulting in poor comprehensibility of the algorithm. So, this research introduces a feature clustering algorithm for hyperspectral imagery from an interpretability perspective.… More >

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