Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (7)
  • Open Access

    ARTICLE

    A Hybrid Deep Learning Multi-Class Classification Model for Alzheimer’s Disease Using Enhanced MRI Images

    Ghadah Naif Alwakid*

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-25, 2026, DOI:10.32604/cmc.2025.068666 - 10 November 2025

    Abstract Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder that significantly affects cognitive function, making early and accurate diagnosis essential. Traditional Deep Learning (DL)-based approaches often struggle with low-contrast MRI images, class imbalance, and suboptimal feature extraction. This paper develops a Hybrid DL system that unites MobileNetV2 with adaptive classification methods to boost Alzheimer’s diagnosis by processing MRI scans. Image enhancement is done using Contrast-Limited Adaptive Histogram Equalization (CLAHE) and Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN). A classification robustness enhancement system integrates class weighting techniques and a Matthews Correlation Coefficient (MCC)-based evaluation method into the design.… More >

  • Open Access

    ARTICLE

    Intelligent Estimation of ESR and C in AECs for Buck Converters Using Signal Processing and ML Regression

    Acácio M. R. Amaral1,2,*

    CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3825-3859, 2025, DOI:10.32604/cmc.2025.067179 - 23 September 2025

    Abstract Power converters are essential components in modern life, being widely used in industry, automation, transportation, and household appliances. In many critical applications, their failure can lead not only to financial losses due to operational downtime but also to serious risks to human safety. The capacitors forming the output filter, typically aluminum electrolytic capacitors (AECs), are among the most critical and susceptible components in power converters. The electrolyte in AECs often evaporates over time, causing the internal resistance to rise and the capacitance to drop, ultimately leading to component failure. Detecting this fault requires measuring the… More >

  • Open Access

    ARTICLE

    Infrared Fault Detection Method for Dense Electrolytic Bath Polar Plate Based on YOLOv5s

    Huiling Yu1, Yanqiu Hang2, Shen Shi1, Kangning Wu1, Yizhuo Zhang1,*

    CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4859-4874, 2024, DOI:10.32604/cmc.2024.055403 - 12 September 2024

    Abstract Electrolysis tanks are used to smelt metals based on electrochemical principles, and the short-circuiting of the pole plates in the tanks in the production process will lead to high temperatures, thus affecting normal production. Aiming at the problems of time-consuming and poor accuracy of existing infrared methods for high-temperature detection of dense pole plates in electrolysis tanks, an infrared dense pole plate anomalous target detection network YOLOv5-RMF based on You Only Look Once version 5 (YOLOv5) is proposed. Firstly, we modified the Real-Time Enhanced Super-Resolution Generative Adversarial Network (Real-ESRGAN) by changing the U-shaped network (U-Net)… More >

  • Open Access

    ARTICLE

    Bonding Mechanism of Bamboo Particleboards Made by Laccase Treatment

    Jin Wang1, Weigang Zhang2,*, Xiaowei Zhuang1,*

    Journal of Renewable Materials, Vol.9, No.3, pp. 557-568, 2021, DOI:10.32604/jrm.2021.013269 - 14 January 2021

    Abstract Using 1–8 years bamboo as materials, the content of different chemical constituent was tested, and the reactive oxygen species (ROS) free radicals produced from laccase treated bamboo were detected by electron spin-resonance (ESR) spectroscope. The wet-process particleboard was made from laccase-treated bamboo by hot pressing and board mechanical properties including internal bond strength (IB), modulus of rupture (MOR) and thickness swelling (TS) after 2-hours water absorption were tested under different conditions. Results showed that laccase mainly catalyze the bamboo components and improved the bonding strength of laccase-treated boards. By ESR measurement on each single component More >

  • Open Access

    ARTICLE

    IoMT-Based Smart Monitoring Hierarchical Fuzzy Inference System for Diagnosis of COVID-19

    Tahir Abbas Khan1, Sagheer Abbas1, Allah Ditta2, Muhammad Adnan Khan3, *, Hani Alquhayz4, Areej Fatima3, Muhammad Farhan Khan5

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2591-2605, 2020, DOI:10.32604/cmc.2020.011892 - 16 September 2020

    Abstract The prediction of human diseases, particularly COVID-19, is an extremely challenging task not only for medical experts but also for the technologists supporting them in diagnosis and treatment. To deal with the prediction and diagnosis of COVID-19, we propose an Internet of Medical Things-based Smart Monitoring Hierarchical Mamdani Fuzzy Inference System (IoMTSM-HMFIS). The proposed system determines the various factors like fever, cough, complete blood count, respiratory rate, Ct-chest, Erythrocyte sedimentation rate and C-reactive protein, family history, and antibody detection (lgG) that are directly involved in COVID-19. The expert system has two input variables in layer… More >

  • Open Access

    ARTICLE

    Mutations du gène ESR1 : du fondamental à la clinique

    V. Massard, A. Harlé, L. Uwer, J.-L. Merlin

    Oncologie, Vol.21, No.1, pp. 29-32, 2019, DOI:10.3166/onco-2019-0027

    Abstract L’hormonorésistance acquise constitue l’un des défis majeurs dans le traitement du cancer du sein avancé exprimant le récepteur aux estrogènes (RE) et sans surexpression de HER2. Les mutations activatrices du gène ESR1 affectant le domaine de liaison du ligand ont récemment été identifiées comme l’un des principaux mécanismes de résistance aux inhibiteurs de l’aromatase (IA). Ces mutations peuvent être recherchées sur des prélèvements histologiques ou sur ADN tumoral circulant, par PCR ou séquen- çage de nouvelle génération (NGS). Elles induisent une activation constitutionnelle du RE conduisant à une résistance acquise aux IA ; le tamoxifène, le More >

  • Open Access

    ARTICLE

    Recent Evolution of the Simulation Tools for Computer Aided Design of Electron-optical Systems for Powerful Gyrotrons

    S. Sabchevski1, I. Zhelyazkov2, M. Thumm3, S. Illy4, B. Piosczyk5, T.-M. Tran6,7, J. Gr. Pagonakis8

    CMES-Computer Modeling in Engineering & Sciences, Vol.20, No.3, pp. 203-220, 2007, DOI:10.3970/cmes.2007.020.203

    Abstract Computer aided design of powerful gyrotrons for electron cyclotron resonance heating and current drive of fusion plasmas requires adequate physical models and efficient software packages for analysis, comparison and optimization of their electron-optical systems through numerical experiments. In this paper, we present and discuss the current status of the simulation tools available to the researchers involved in the development of multi-megawatt gyrotrons for the ITER project, review some of their recent upgrades and formulate directions for further modifications and improvements. Illustrative examples used represent results from recent numerical investigations of real constructions. Some physical problems More >

Displaying 1-10 on page 1 of 7. Per Page