Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (448)
  • Open Access

    ARTICLE

    Optimization of Electric Vehicle Charging Station Layout Based on Point of Interest Data and Location Entropy Evaluation

    Annan Yang1, Jiawei Zhang2,*, Haojie Yang3,*, Keyi Tao1, Mengna Xu1, Yuyu Zhao1

    Journal on Big Data, Vol.6, pp. 21-41, 2024, DOI:10.32604/jbd.2024.057612 - 31 December 2024

    Abstract This study introduces an electric vehicle charging station layout optimization method utilizing Point of Interest (POI) data, addressing traditional design limitations. It details the acquisition and visualization of POI data for Yancheng’s key locations and charging stations. Employing a hybrid K-Means and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm, the study determines areas requiring optimization through location entropy and overlap analysis. The research shows that the integrated clustering approach can efficiently guide the fair distribution of charging stations, enhancing service quality and supporting the sustainable growth of the electric vehicle sector. More >

  • Open Access

    ARTICLE

    Assessment of Carboniferous Volcanic Horizontal Wells after Fracturing Based on Gray Correlation, Hierarchical Analysis and Fuzzy Evaluation

    Junwei Han1, Guohua Li1, Wu Zhong1, Yuchen Yang1, Maoheng Li2,3, Zhiwei Chen2,3, Ruichang Ge2,3, Lijuan Huang2,3,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.12, pp. 2757-2773, 2024, DOI:10.32604/fdmp.2024.056130 - 23 December 2024

    Abstract A comprehensive method to evaluate the factors affecting the production capacity of horizontal wells in Carboniferous volcanic rocks after fracturing is investigated. A systematic approach combining gray correlation analysis, hierarchical analysis and fuzzy evaluation is proposed. In particular, first the incidence of reservoir properties and fracturing parameters on production capacity is assessed. These parameters include reservoir base geological parameters (porosity, permeability, oil saturation, waterproof height) as well as engineering parameters (fracture half-length, fracture height, fracture conductivity, fracture distance). Afterwards, a two-by-two comparison judgment matrix of sensitive parameters is constructed by means of hierarchical analysis, and More >

  • Open Access

    ARTICLE

    Assessor Feedback Mechanism for Machine Learning Model

    Musulmon Lolaev, Anand Paul*, Jeonghong Kim

    CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4707-4726, 2024, DOI:10.32604/cmc.2024.058675 - 19 December 2024

    Abstract Evaluating artificial intelligence (AI) systems is crucial for their successful deployment and safe operation in real-world applications. The assessor meta-learning model has been recently introduced to assess AI system behaviors developed from emergent characteristics of AI systems and their responses on a test set. The original approach lacks covering continuous ranges, for example, regression problems, and it produces only the probability of success. In this work, to address existing limitations and enhance practical applicability, we propose an assessor feedback mechanism designed to identify and learn from AI system errors, enabling the system to perform the More >

  • Open Access

    ARTICLE

    Evaluation of Modern Generative Networks for EchoCG Image Generation

    Sabina Rakhmetulayeva1,*, Zhandos Zhanabekov2, Aigerim Bolshibayeva3

    CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4503-4523, 2024, DOI:10.32604/cmc.2024.057974 - 19 December 2024

    Abstract The applications of machine learning (ML) in the medical domain are often hindered by the limited availability of high-quality data. To address this challenge, we explore the synthetic generation of echocardiography images (echoCG) using state-of-the-art generative models. We conduct a comprehensive evaluation of three prominent methods: Cycle-consistent generative adversarial network (CycleGAN), Contrastive Unpaired Translation (CUT), and Stable Diffusion 1.5 with Low-Rank Adaptation (LoRA). Our research presents the data generation methodology, image samples, and evaluation strategy, followed by an extensive user study involving licensed cardiologists and surgeons who assess the perceived quality and medical soundness of More > Graphic Abstract

    Evaluation of Modern Generative Networks for EchoCG Image Generation

  • Open Access

    ARTICLE

    Sustainable Composite of Cardanol Based Phenalkamine Cured Epoxy Systems: Fabrication, Characterization and Mechanical Performance Evaluation for Emerging Applications

    Aswinraj Anbazhagan1, Piyali Roy Choudhury1, Sahila Sambandam2, Jayakumari Lakshmanan Saraswathi1,*

    Journal of Polymer Materials, Vol.41, No.4, pp. 299-313, 2024, DOI:10.32604/jpm.2024.056261 - 16 December 2024

    Abstract Petroleum-based cured epoxy polymers, used widely in aerospace, marine, and automotive industries, pose environmental threats due to their toxicity. Therefore, developing alternative curing systems for epoxy resin is crucial. This study explores the use of bio-based phenalkamines as curing agents for epoxy resin to enhance the mechanical properties of polymer composites and fiber-reinforced laminates. The functional groups, morphology, and thermal properties of the composites were analyzed using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and thermogravimetric analysis (TGA). Mechanical properties of two epoxy systems—EP-TETA (triethylenetetramine-cured) and EP-PA (phenalkamine-cured)—were evaluated according to ASTM standards. More > Graphic Abstract

    Sustainable Composite of Cardanol Based Phenalkamine Cured Epoxy Systems: Fabrication, Characterization and Mechanical Performance Evaluation for Emerging Applications

  • Open Access

    PROCEEDINGS

    Advancing Ultrasonics-Based Techniques for Non-Destructive Evaluation of Additive Manufactured Composites

    Xudong Yu1,*, Hai Shen1, Jingyuan Lu1, Shangqin Yuan2, Ming Huang3

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, pp. 1-2, 2024, DOI:10.32604/icces.2024.011546

    Abstract The continuous advancement of Additive Manufacturing (AM) technologies has revolutionized the production of intricate components and reinforced composites with tailored mechanical properties. However, the variability in AM techniques and processing parameters often leads to discrepancies in fibre volume fraction, porosity, and interfaces in AM composites, resulting in dispersed elastic moduli and mechanical responses, which necessitates robustness non-destructive evaluation (NDE) methods. Additionally, AM introduces new defect morphologies, dimensions, and locations, demanding new and more reliable non-destructive testing (NDT) techniques.
    This research commences by quantifying orientation-dependent mechanical properties of laser-sintered nanocomposites of carbon nanotube (CNT) reinforced polyamine (PA).… More >

  • Open Access

    ARTICLE

    Evaluation d’une stratégie multimodale d’information et de recueil des directives anticipées dans un Centre de Lutte Contre le Cancer : description du protocole de l’étude

    Léonor Fasse1,2,*, François Blot2

    Psycho-Oncologie, Vol.18, No.4, pp. 367-375, 2024, DOI:10.32604/po.2024.049544 - 04 December 2024

    Abstract Arrière-plan: L’information sur la possibilité de rédiger des Directives Anticipées (DA) est une nécessité et représente un enjeu majeur sur les plans médical, éthique, légal. Les difficultés sont nombreuses, organisationnelles ou culturelles, et c’est aussi vrai dans l’univers de la cancérologie, où les DA (et plus largement les discussions anticipées) revêtent une importance cruciale. Sujet éminemment sensible, l’abord des DA (donc d’une réflexion sur la fin de vie) nécessite un travail d’acculturation à la fois sociétale et médico-soignante. Une démarche institutionnelle a donc été élaborée, dans l’objectif d’un déploiement d’outils d’information, de formation des professionnels,… More >

  • Open Access

    ARTICLE

    Pre-breeding in Rice Development: Phenotypic-Genotypic Evaluation Associated with High Yield and Early Harvesting Traits

    Alwa Widi Aisya1, Erlina Ambarwati1,*, Supriyanta1, Taufan Alam1, Rizky Pasthika Kirana1, I Gusti Komang Dana Arsana2, Vina Eka Aristya2, Ardian Elonard Purba2, Taryono1

    Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 3073-3089, 2024, DOI:10.32604/phyton.2024.058098 - 30 November 2024

    Abstract The breeding process involves developing techniques to create cultivars that thrive in the ever-changing global climate, allowing for early harvesting and high yield. This study aimed to screen rice genotypes with early harvesting and high yield to develop new-generation cultivars. The study was conducted in a field experiment at the Department of Agronomy, Faculty of Agriculture, Universitas Gadjah Mada, Special Region of Yogyakarta, Indonesia, from December 2022 to April 2023. Ten genotypes were laid out using an Augmented Randomized Complete Block Design (ARCBD) with three rows and six columns. The observations were macro and micro-climate,… More >

  • Open Access

    ARTICLE

    Characterization and Performance Evaluation of Mycelium-Based Biofoams for Cushioning Materials Using Edible Mushrooms

    Tanyawan Suwandecha1, Supachai Pisuchpen2,*

    Journal of Renewable Materials, Vol.12, No.11, pp. 1811-1836, 2024, DOI:10.32604/jrm.2024.056334 - 22 November 2024

    Abstract This study investigated the development of mycelium-based biofoams as sustainable cushioning materials using Pleurotus ostreatus and Lentinus squarrosulus, combined with different sawdust substrates, and subjected to various pressing methods. The results indicated significant effects of mushroom species, sawdust type, and pressing method on the properties of biofoams. Growth rate, morphology, chemical composition, physical and mechanical properties, water resistance, and cushioning factor were evaluated. The results indicated that Lentinus squarrosulus (LS) exhibited faster growth rates (up to 14.37 mm/day) and produced biofoams with superior properties compared to Pleurotus ostreatus (PO). Core wood (CW) sawdust generally resulted in biofoams with lower… More > Graphic Abstract

    Characterization and Performance Evaluation of Mycelium-Based Biofoams for Cushioning Materials Using Edible Mushrooms

  • Open Access

    PROCEEDINGS

    A Study on the Extraction and Evaluation Method of Virtual Strain

    Peiyan Wang1,*, Haoyu Wang1, Minghui Liu2, Fuchao Liu1, Zhufeng Yue1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011318

    Abstract The virtual test is supported by the physical test data, and a high-precision simulation model needs to be established to maximize the alignment between the simulation prediction results and the physical test data. It can replace other physical tests and achieve the goal of reducing the design cycle time and cost. However, due to the errors caused by the position and angle deviation of the strain gauge paste, as well as the sensitivity coefficient of the strain gauge and the wire, it is difficult for the simulation results to correspond to the test results in… More >

Displaying 21-30 on page 3 of 448. Per Page