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  • Open Access


    Lightweight Multi-Resolution Network for Human Pose Estimation

    Pengxin Li1, Rong Wang1,2,*, Wenjing Zhang1, Yinuo Liu1, Chenyue Xu1

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.3, pp. 2239-2255, 2024, DOI:10.32604/cmes.2023.030677

    Abstract Human pose estimation aims to localize the body joints from image or video data. With the development of deep learning, pose estimation has become a hot research topic in the field of computer vision. In recent years, human pose estimation has achieved great success in multiple fields such as animation and sports. However, to obtain accurate positioning results, existing methods may suffer from large model sizes, a high number of parameters, and increased complexity, leading to high computing costs. In this paper, we propose a new lightweight feature encoder to construct a high-resolution network that reduces the number of parameters… More >

  • Open Access


    Semantic Annotation of Land Cover Remote Sensing Images Using Fuzzy CNN

    K. Saranya1,*, K. Selva Bhuvaneswari2

    Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 399-414, 2022, DOI:10.32604/iasc.2022.023149

    Abstract This paper presents a novel fuzzy logic based Convolution Neural Network intelligent classifier for accurate image classification. The proposed approach employs a semantic class label model that classifies the input land cover images into a set of semantic categories and classes depending on the content. The intelligent feature selection algorithm selects the prominent attributes from the given data set using weighted attribute functions and uses fuzzy logic to build the rules based on the membership values. To annotate remote sensing images, the CNN method effectively creates semantics and categorises images. The decision manager then integrates the fuzzy logic rules with… More >

  • Open Access


    Osteoporosis Prediction for Trabecular Bone using Machine Learning: A Review

    Marrium Anam1, Vasaki a/p Ponnusamy2,*, Muzammil Hussain3, Muhammad Waqas Nadeem2,4, Mazhar Javed3, Hock Guan Goh2, Sadia Qadeer3

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 89-105, 2021, DOI:10.32604/cmc.2021.013159

    Abstract Trabecular bone holds the utmost importance due to its significance regarding early bone loss. Diseases like osteoporosis greatly affect the structure of the Trabecular bone which results in different outcomes like high risk of fracture. The objective of this paper is to inspect the characteristics of the Trabecular Bone by using the Magnetic Resonance Imaging (MRI) technique. These characteristics prove to be quite helpful in studying different studies related to Trabecular bone such as osteoporosis. The things that were considered before the selection of the articles for the systematic review were language, research field, and electronic sources. Only those articles… More >

  • Open Access


    Multi-phase Oil Tank Recognition for High Resolution Remote Sensing Images

    Changjiang Liu1, Xuling Wu2, Bing Mo1, Yi Zhang3

    Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 671-678, 2018, DOI:10.31209/2018.100000033

    Abstract With continuing commercialization of remote sensing satellites, the high resolution remote sensing image has been increasingly used in various fields of our life. However, processing technology of high resolution remote sensing images is still a tough problem. How to extract useful information from the massive information in high resolution remote sensing images is significant to the subsequent process. A multi-phase oil tank recognition of remote sensing images, namely coarse detection and artificial neural network (ANN) recognition, is proposed. The experimental results of algorithms presented in this paper show that the proposed processing technology is reliable and effective. More >

  • Open Access


    Novel mutation of GATA4 gene in Kurdish population of Iran with nonsyndromic congenital heart septals defects

    Fariborz Soheili1,2, Zahra Jalili3, Mahtab Rahbar4, Zahed Khatooni1, Amir Mashayekhi5, Hossein Jafari6

    Congenital Heart Disease, Vol.13, No.2, pp. 295-304, 2018, DOI:10.1111/chd.12571

    Abstract Background: The mutations in GATA4 gene induce inherited atrial and ventricular septation defects, which is the most frequent forms of congenital heart defects (CHDs) constituting about half of all cases.
    Method: We have performed High resolution melting (HRM) mutation scanning of GATA4 coding exons of nonsyndrome 100 patients as a case group including 39 atrial septal defects (ASD), 57 ventricular septal defects (VSD) and four patients with both above defects and 50 healthy individuals as a control group. Our samples are categorized according to their HRM graph. The genome sequencing has been done for 15 control samples and 25 samples… More >

  • Open Access


    High Resolution SAR Image Algorithm with Sample Length Constraints for the Range Direction

    Zhenli Wang1, *, Qun Wang1, Fujuan Li1, Shuai Wang2

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1533-1543, 2020, DOI:10.32604/cmc.2020.09721

    Abstract The traditional Range Doppler (RD) algorithm is unable to meet practical needs owing to the limit of resolution. The order of fractional Fourier Transform (FrFT) and the length of sampling signals affect SAR imaging performance when FrFT is applied to RD algorithm. To overcome the above shortcomings, the purpose of this paper is to propose a high-resolution SAR image algorithm by using the optimal order of FrFT and the sample length constraints for the range direction. The expression of the optimal order of SAR range signals via FrFT is deduced in detail. The initial sample length and its constraints are… More >

  • Open Access


    An Improved Tracking Technique for Assessment of High Resolution Dynamic Radiography Kinematics

    G. Papaioannou1, C. Mitrogiannis1, G. Nianios1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.8, No.2, pp. 41-46, 2008, DOI:10.3970/icces.2008.008.041

    Abstract Previous attempts to track skeletal kinematics from sequences of images acquired using biplane dynamic radiography report challenges in automating the tracking technique due to image resolution issues, occlusion from segments appearing synchronously in the field of view and computational load. This translates into many hours of manual work to export the kinematics. The proposed new tracking method tackles the above problems and reduces the time to export kinematics from several hours to less than 3 minutes. More >

  • Open Access


    A High Resolution Pressure-Based Method for Compressible Fluid Flow

    M.H. Djavareshkian1

    FDMP-Fluid Dynamics & Materials Processing, Vol.1, No.4, pp. 329-342, 2005, DOI:10.3970/fdmp.2005.001.329

    Abstract A pressure-based Euler scheme, based on a collocated grid arrangement is described. The newly developed algorithm has two new prominent features: (i) the use of normalized variables to bound the convective fluxes and (ii) the use of a high-resolution scheme in calculating interface density values to enhance the shock-capturing property of the algorithm. The algorithm is first tested for flows at different Mach numbers ranging from subsonic to supersonic on a bump in a channel geometry; then the results are compared with the corresponding ones obtained without the bounded scheme in the correction step. The output is also compared with… More >

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