Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (139)
  • Open Access

    ARTICLE

    Construction and Validation of a Chinese Translation of the Coping Self-Efficacy Scale, Adolescent Edition

    Peichao Xie1,#, Kexu Chen1,#, Yuxuan Ji1, Qi Wang1, Kaiyun Li1,*, Fanlu Jia1, Ting Peng2

    International Journal of Mental Health Promotion, Vol.26, No.11, pp. 887-895, 2024, DOI:10.32604/ijmhp.2024.056305 - 28 November 2024

    Abstract Background: Coping self-efficacy can help individuals mitigate the adverse emotional impacts of stress, anxiety, and other negative emotions, and it also influences individuals’ academic performance, including school adjustment and academic burnout. It is an important factor affecting the mental health of adolescents. However, there is no measurement tool specifically designed for adolescent populations in China. Therefore, the purpose of this study is to assess the applicability of the Coping Self-Efficacy Scale (CSES) among Chinese adolescents. Methods: In September 2023, this study collected data through online questionnaires and ultimately conducted item analysis, exploratory factor analysis, confirmatory… More >

  • Open Access

    REVIEW

    Software Reliability Prediction Using Ensemble Learning on Selected Features in Imbalanced and Balanced Datasets: A Review

    Suneel Kumar Rath1, Madhusmita Sahu1, Shom Prasad Das2, Junali Jasmine Jena3, Chitralekha Jena4, Baseem Khan5,6,7,*, Ahmed Ali7, Pitshou Bokoro7

    Computer Systems Science and Engineering, Vol.48, No.6, pp. 1513-1536, 2024, DOI:10.32604/csse.2024.057067 - 22 November 2024

    Abstract Redundancy, correlation, feature irrelevance, and missing samples are just a few problems that make it difficult to analyze software defect data. Additionally, it might be challenging to maintain an even distribution of data relating to both defective and non-defective software. The latter software class’s data are predominately present in the dataset in the majority of experimental situations. The objective of this review study is to demonstrate the effectiveness of combining ensemble learning and feature selection in improving the performance of defect classification. Besides the successful feature selection approach, a novel variant of the ensemble learning… More >

  • Open Access

    ARTICLE

    Dynamic Deep Learning for Enhanced Reliability in Wireless Sensor Networks: The DTLR-Net Approach

    Gajjala Savithri1,2, N. Raghavendra Sai1,*

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2547-2569, 2024, DOI:10.32604/cmc.2024.055827 - 18 November 2024

    Abstract In the world of wireless sensor networks (WSNs), optimizing performance and extending network lifetime are critical goals. In this paper, we propose a new model called DTLR-Net (Deep Temporal LSTM Regression Network) that employs long-short-term memory and is effective for long-term dependencies. Mobile sinks can move in arbitrary patterns, so the model employs long short-term memory (LSTM) networks to handle such movements. The parameters were initialized iteratively, and each node updated its position, mobility level, and other important metrics at each turn, with key measurements including active or inactive node ratio, energy consumption per cycle,… More >

  • Open Access

    ARTICLE

    Reliability Prediction of Wrought Carbon Steel Castings under Fatigue Loading Using Coupled Mold Optimization and Finite Element Simulation

    Muhammad Azhar Ali Khan1, Syed Sohail Akhtar2,3,*, Abba A. Abubakar2,4, Muhammad Asad1, Khaled S. Al-Athel2,5

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2325-2350, 2024, DOI:10.32604/cmes.2024.054741 - 31 October 2024

    Abstract The fatigue life and reliability of wrought carbon steel castings produced with an optimized mold design are predicted using a finite element method integrated with reliability calculations. The optimization of the mold is carried out using MAGMASoft mainly based on porosity reduction as a response. After validating the initial mold design with experimental data, a spring flap, a common component of an automotive suspension system is designed and optimized followed by fatigue life prediction based on simulation using Fe-safe. By taking into consideration the variation in both stress and strength, the stress-strength model is used… More >

  • Open Access

    PROCEEDINGS

    Uncertainty Quantification of Complex Engineering Structures Using PCE-HDMR

    Xinxin Yue1, Jian Zhang2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.4, pp. 1-2, 2024, DOI:10.32604/icces.2024.011344

    Abstract The "curse of dimensionality" faced by high-dimensional complex engineering problems can be tackled by a set of quantitative model evaluation and analysis tools named high-dimensional model representation (HDMR) [1,2], which has attracted much attention from researchers in various fields, such as global sensitivity analysis (GSA) [3], structural reliability analysis (SRA) [4], CFD uncertainty quantification [5] and so on [6]. In this paper, a new method for uncertainty quantification is proposed. Firstly, PCE-HDMR for SRA is developed by taking advantage of the accuracy and efficiency of PCE-HDMR for modeling high-dimensional problems [7]. Secondly, the formulas for… More >

  • Open Access

    EDITORIAL

    Introduction to the Special Issue on Computer-Aided Uncertainty Modeling and Reliability Evaluation for Complex Engineering Structures

    Debiao Meng1,*, Abílio Manuel Pinho de Jesus2, Zeng Meng3

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 1-5, 2024, DOI:10.32604/cmes.2024.056319 - 20 August 2024

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    PARE: Privacy-Preserving Data Reliability Evaluation for Spatial Crowdsourcing in Internet of Things

    Peicong He, Yang Xin*, Yixian Yang

    CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 3067-3084, 2024, DOI:10.32604/cmc.2024.054777 - 15 August 2024

    Abstract The proliferation of intelligent, connected Internet of Things (IoT) devices facilitates data collection. However, task workers may be reluctant to participate in data collection due to privacy concerns, and task requesters may be concerned about the validity of the collected data. Hence, it is vital to evaluate the quality of the data collected by the task workers while protecting privacy in spatial crowdsourcing (SC) data collection tasks with IoT. To this end, this paper proposes a privacy-preserving data reliability evaluation for SC in IoT, named PARE. First, we design a data uploading format using blockchain More >

  • Open Access

    ARTICLE

    Reliability of Echocardiographic Pulmonary Vascular Resistance to Screen for the New Definition of Precapillary Pulmonary Hypertension in Uncorrected Secundum Atrial Septal Defect

    Risalina Myrtha1,2,*, Hasanah Mumpuni3,4, Real Kusumanjaya Marsam3,4, Dyah Wulan Anggrahini3,4, Anggoro Budi Hartopo3,4, Lucia Kris Dinarti3,4

    Congenital Heart Disease, Vol.19, No.3, pp. 315-324, 2024, DOI:10.32604/chd.2024.051587 - 26 July 2024

    Abstract Background and Objective: The most feared complication of uncorrected secundum Atrial Septal Defect (ASD) is pulmonary arterial hypertension (PAH). Pulmonary vascular resistance (PVR) is crucial in detecting precapillary pulmonary hypertension (PH) to guide the need for PAH-specific therapy. There is a change in the cut-off value of PVR according to the recently updated PH guideline. How echocardiographic PVR (PVR) correlates to PVR by right heart catheterization (RHC) (PVR) according to the new guidelines has not been known. The aim of this study is to determine the reliability of PVR in detecting PAH in Uncorrected Ostium… More > Graphic Abstract

    Reliability of Echocardiographic Pulmonary Vascular Resistance to Screen for the New Definition of Precapillary Pulmonary Hypertension in Uncorrected Secundum Atrial Septal Defect

  • Open Access

    ARTICLE

    Enhanced Transmission Tower Foundation Reliability Assessment: A Fuzzy Comprehensive Evaluation Framework

    Yang Li1, Zikang Zheng1,*, Jiangkun Zhang2

    Structural Durability & Health Monitoring, Vol.18, No.4, pp. 425-444, 2024, DOI:10.32604/sdhm.2024.046584 - 05 June 2024

    Abstract Due to the lack of a quantitative basis for the inspection, evaluation, and identification of existing transmission tower foundations, a new fuzzy comprehensive evaluation method is proposed to assess the reliability of transmission tower foundation bearing capacity. This method is based on the reliability analysis of the transmission tower foundation bearing capacity by analyzing the sensitivity of degradation of detection indexes on the reliability of transmission tower foundation bearing capacity, the weighting coefficient matrix is established about the influencing factors in the evaluation model. Through the correlation analysis between the bearing capacity degradation of the More > Graphic Abstract

    Enhanced Transmission Tower Foundation Reliability Assessment: A Fuzzy Comprehensive Evaluation Framework

  • Open Access

    ARTICLE

    A Multiscale Reliability-Based Design Optimization Method for Carbon-Fiber-Reinforced Composite Drive Shafts

    Huile Zhang1,2,*, Shikang Li2, Yurui Wu3, Pengpeng Zhi1, Wei Wang1,4, Zhonglai Wang1,4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.2, pp. 1975-1996, 2024, DOI:10.32604/cmes.2024.050185 - 20 May 2024

    Abstract Carbon fiber composites, characterized by their high specific strength and low weight, are becoming increasingly crucial in automotive lightweighting. However, current research primarily emphasizes layer count and orientation, often neglecting the potential of microstructural design, constraints in the layup process, and performance reliability. This study, therefore, introduces a multiscale reliability-based design optimization method for carbon fiber-reinforced plastic (CFRP) drive shafts. Initially, parametric modeling of the microscale cell was performed, and its elastic performance parameters were predicted using two homogenization methods, examining the impact of fluctuations in microscale cell parameters on composite material performance. A finite… More >

Displaying 1-10 on page 1 of 139. Per Page