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  • Open Access

    REVIEW

    Anomaly Detection in Textured Images with a Convolutional Neural Network for Quality Control of Micrometric Woven Meshes

    Pierre-Frédéric Villard1,*, Maureen Boudart2, Ioana Ilea3, Fabien Pierre1

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.6, pp. 1639-1648, 2022, DOI:10.32604/fdmp.2022.021726 - 27 June 2022

    Abstract Industrial woven meshes are composed of metal materials and are often used in construction, industrial and residential activities or applications. The objective of this work is defect detection in industrial fabrics in the quality control stage. In order to overcome the limitations of manual methods, which are often tedious and time-consuming, we propose a strategy that can automatically detect defects in micrometric steel meshes by means of a Convolutional Neural Network. The database used for such a purpose comes from real problem data for anomaly detection in micrometric woven meshes. This detection is performed through More >

  • Open Access

    ARTICLE

    Face Mask Recognition for Covid-19 Prevention

    Trong Hieu Luu1, Phan Nguyen Ky Phuc2,*, Zhiqiu Yu3, Duy Dung Pham1, Huu Trong Cao1

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3251-3262, 2022, DOI:10.32604/cmc.2022.029663 - 16 June 2022

    Abstract In recent years, the COVID-19 pandemic has negatively impacted all aspects of social life. Due to ease in the infected method, i.e., through small liquid particles from the mouth or the nose when people cough, sneeze, speak, sing, or breathe, the virus can quickly spread and create severe problems for people’s health. According to some research as well as World Health Organization (WHO) recommendation, one of the most economical and effective methods to prevent the spread of the pandemic is to ask people to wear the face mask in the public space. A face mask… More >

  • Open Access

    ARTICLE

    Transfer Learning on Deep Neural Networks to Detect Pornography

    Saleh Albahli*

    Computer Systems Science and Engineering, Vol.43, No.2, pp. 701-717, 2022, DOI:10.32604/csse.2022.022723 - 20 April 2022

    Abstract While the internet has a lot of positive impact on society, there are negative components. Accessible to everyone through online platforms, pornography is, inducing psychological and health related issues among people of all ages. While a difficult task, detecting pornography can be the important step in determining the porn and adult content in a video. In this paper, an architecture is proposed which yielded high scores for both training and testing. This dataset was produced from 190 videos, yielding more than 19 h of videos. The main sources for the content were from YouTube, movies, More >

  • Open Access

    ARTICLE

    Butyrate inhibits the bovine rumen epithelial cell proliferation via downregulation of positive regulators at G0/G1 phase checkpoint

    KANG ZHAN#, MAOCHENG JIANG#, TIANYU YANG, ZIXUAN HU, GUOQI ZHAO*

    BIOCELL, Vol.46, No.7, pp. 1697-1704, 2022, DOI:10.32604/biocell.2022.019068 - 17 March 2022

    Abstract Short-chain fatty acids (SCFAs) butyrate promote the postnatal rumen epithelial development and maturation in ruminants. However, molecular mechanisms of effects of butyrate on the bovine rumen epithelial cells (BRECs) proliferation remain elusive. Therefore, purpose of this study was to investigate the effects of butyrate on the expression of genes and proteins at G0/G1 and S phase of BRECs cycle. Our results showed that BRECs treated with butyrate inhibited (P < 0.05) the proliferation of BRECs, relatively to control. Flow cytometric assays revealed that butyrate triggers the BRECs cycle arrest at the G0/G1 phase. qRT-PCR analyses of… More >

  • Open Access

    ARTICLE

    Detection of Diabetic Retinopathy Using Custom CNN to Segment the Lesions

    Saleh Albahli1,2,*, Ghulam Nabi Ahmad Hassan Yar3

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 837-853, 2022, DOI:10.32604/iasc.2022.024427 - 08 February 2022

    Abstract Diabetic retinopathy is an eye deficiency that affects the retina as a result of the patient having Diabetes Mellitus caused by high sugar levels. This condition causes the blood vessels that nourish the retina to swell and become distorted and eventually become blocked. In recent times, images have played a vital role in using convolutional neural networks to automatically detect medical conditions, retinopathy takes this to another level because there is need not for just a system that could determine is a patient has retinopathy, but also a system that could tell the severity of… More >

  • Open Access

    VIEWPOINT

    ISG15 and ISGylation: Emergence in the cytoskeleton dynamic and tumor microenvironment

    ANGELES C. TECALCO-CRUZ*

    BIOCELL, Vol.46, No.5, pp. 1209-1213, 2022, DOI:10.32604/biocell.2022.018136 - 06 January 2022

    Abstract Cytoskeletal remodeling affects the shape, adhesion, and motility of cells. Cytoskeletal dynamics are modulated by matrix proteins, integrins, and several cytokines in the tumor microenvironment. In this scenario, signaling is activated by integrins and interferons, which can induce ISG15 gene expression. This gene encodes a ubiquitin-like protein that functions as a protein modifier via the ISGylation system. Furthermore, non-conjugated ISG15 acts as a cytokine-like protein. In this viewpoint, the interplay between free ISG15, protein ISGylation, and cytoskeletal dynamics in the tumor microenvironment is discussed. More >

  • Open Access

    ARTICLE

    Breast Tumor Computer-Aided Detection System Based on Magnetic Resonance Imaging Using Convolutional Neural Network

    Jing Lu1, Yan Wu2,#, Mingyan Hu1, Yao Xiong1, Yapeng Zhou1, Ziliang Zhao1, Liutong Shang1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 365-377, 2022, DOI:10.32604/cmes.2021.017897 - 29 November 2021

    Abstract Background: The main cause of breast cancer is the deterioration of malignant tumor cells in breast tissue. Early diagnosis of tumors has become the most effective way to prevent breast cancer. Method: For distinguishing between tumor and non-tumor in MRI, a new type of computer-aided detection CAD system for breast tumors is designed in this paper. The CAD system was constructed using three networks, namely, the VGG16, Inception V3, and ResNet50. Then, the influence of the convolutional neural network second migration on the experimental results was further explored in the VGG16 system. Result: CAD system built based… More >

  • Open Access

    ARTICLE

    Defect Detection in Printed Circuit Boards with Pre-Trained Feature Extraction Methodology with Convolution Neural Networks

    Mohammed A. Alghassab*

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 637-652, 2022, DOI:10.32604/cmc.2022.019527 - 07 September 2021

    Abstract Printed Circuit Boards (PCBs) are very important for proper functioning of any electronic device. PCBs are installed in almost all the electronic device and their functionality is dependent on the perfection of PCBs. If PCBs do not function properly then the whole electric machine might fail. So, keeping this in mind researchers are working in this field to develop error free PCBs. Initially these PCBs were examined by the human beings manually, but the human error did not give good results as sometime defected PCBs were categorized as non-defective. So, researchers and experts transformed this… More >

  • Open Access

    ARTICLE

    Deep Optimal VGG16 Based COVID-19 Diagnosis Model

    M. Buvana1, K. Muthumayil2, S. Senthil kumar3, Jamel Nebhen4, Sultan S. Alshamrani5, Ihsan Ali6,*

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 43-58, 2022, DOI:10.32604/cmc.2022.019331 - 07 September 2021

    Abstract Coronavirus (COVID-19) outbreak was first identified in Wuhan, China in December 2019. It was tagged as a pandemic soon by the WHO being a serious public medical condition worldwide. In spite of the fact that the virus can be diagnosed by qRT-PCR, COVID-19 patients who are affected with pneumonia and other severe complications can only be diagnosed with the help of Chest X-Ray (CXR) and Computed Tomography (CT) images. In this paper, the researchers propose to detect the presence of COVID-19 through images using Best deep learning model with various features. Impressive features like Speeded-Up… More >

  • Open Access

    ARTICLE

    PRPF6 promotes metastasis and paclitaxel resistance of ovarian cancer via SNHG16/CEBPB/GATA3 axis

    HAN WANG, YINGYING ZHOU, SIYANG ZHANG, YA QI, MIN WANG*

    Oncology Research, Vol.29, No.4, pp. 275-289, 2021, DOI:10.32604/or.2022.03561 - 31 August 2022

    Abstract Metastasis and paclitaxel (PTX) resistance are the main reason for the poor prognosis of ovarian cancer (OC). Evidence showed that RNA-binding proteins (RBPs) and long noncoding RNAs (lncRNAs) can modulate post-transcriptional regulation. The aim of this study was to determine the relationship among RBP, lncRNA and OC and to further guide clinical therapy. Immunohistochemistry revealed that pre-mRNA processing factor 6 (PRPF6) was upregulated in OC chemoresistant tissues and was closely related to advanced (Federation of International of Gynecologists and Obstetricians) FIGO stages and chemo-resistance. PRPF6 promoted progression, and PTX resistance in vitro and in vivo. And the… More >

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