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  • Open Access

    REVIEW

    Detection and Grading of Diabetic Retinopathy in Retinal Images Using Deep Intelligent Systems: A Comprehensive Review

    H. Asha Gnana Priya1, J. Anitha1, Daniela Elena Popescu2, Anju Asokan1, D. Jude Hemanth1, Le Hoang Son3,4,*

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2771-2786, 2021, DOI:10.32604/cmc.2021.012907

    Abstract Diabetic Retinopathy (DR) is an eye disease that mainly affects people with diabetes. People affected by DR start losing their vision from an early stage even though the symptoms are identified only at the later stage. Once the vision is lost, it cannot be regained but can be prevented from causing any further damage. Early diagnosis of DR is required for preventing vision loss, for which a trained ophthalmologist is required. The clinical practice is time-consuming and is not much successful in identifying DR at early stages. Hence, Computer-Aided Diagnosis (CAD) system is a suitable alternative for screening and grading… More >

  • Open Access

    ARTICLE

    Upgrading the Quality of Solid Fuel Made from Nyamplung (Calophyllum inophyllum) Wastes Using Hydrothermal Carbonization Treatment

    Riina Syivarulli1,2, Nugroho Agung Pambudi2,*, Mochamad Syamsiro3, Lip Huat Saw4

    Energy Engineering, Vol.118, No.1, pp. 189-197, 2021, DOI:10.32604/EE.2020.010493

    Abstract One of the major problems faced in managing biomass waste to higher quality products is choosing the right technology. Wastes are used as an alternative fuel, with increase in the calorific value. Hydrothermal carbonization (HTC) is a biomass conversion technology, used to obtain solid fuel. This study aims to utilize of Calophyllum inophyllum as an alternative solid fuel through HTC. The calorific value and proximate of the hydrochar will be determined and analyzed to find out its quality. The experiments were carried out at temperature variations of 160°C, 190°C, and 220°C and holding times of 30 and 60 minutes. The… More >

  • Open Access

    ARTICLE

    A Convolutional Neural Network Classifier VGG-19 Architecture for Lesion Detection and Grading in Diabetic Retinopathy Based on Deep Learning

    V. Sudha1,*, T. R. Ganeshbabu2

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 827-842, 2021, DOI:10.32604/cmc.2020.012008

    Abstract Diabetic Retinopathy (DR) is a type of disease in eyes as a result of a diabetic condition that ends up damaging the retina, leading to blindness or loss of vision. Morphological and physiological retinal variations involving slowdown of blood flow in the retina, elevation of leukocyte cohesion, basement membrane dystrophy, and decline of pericyte cells, develop. As DR in its initial stage has no symptoms, early detection and automated diagnosis can prevent further visual damage. In this research, using a Deep Neural Network (DNN), segmentation methods are proposed to detect the retinal defects such as exudates, hemorrhages, microaneurysms from digital… More >

  • Open Access

    ARTICLE

    Grading Method for Hypoxic-Ischemic Encephalopathy Based on Neonatal EEG

    Jingmin Guo1, Xiu Cheng1, Duanpo Wu2, 3, *

    CMES-Computer Modeling in Engineering & Sciences, Vol.122, No.2, pp. 721-741, 2020, DOI:10.32604/cmes.2020.07470

    Abstract The grading of hypoxic-ischemic encephalopathy (HIE) contributes to the clinical decision making for neonates with HIE. In this paper, an automated grading method based on electroencephalogram (EEG) data is proposed to describe the severity of HIE infants, namely mild asphyxia, moderate asphyxia and severe asphyxia. The automated grading method is based on a multi-class support vector machine (SVM) classifier, and the input features of SVM classifier include long-term features which are extracted by decomposing the EEG data into different 64 s epoch data and short-term features which are extracted by segmenting the 64 s epoch data into 8 s epoch… More >

  • Open Access

    ARTICLE

    Fungi degrading metsulfuron methyl in agricultural soils of Argentina

    Vázquez MB1, MV Bianchinotti1,2

    Phyton-International Journal of Experimental Botany, Vol.82, pp. 113-118, 2013, DOI:10.32604/phyton.2013.82.113

    Abstract Strains of Mucor, Penicillium and Trichoderma, able to use metsulfuron-methyl (MM) as a sole carbon and energy source, were isolated from agricultural soils in Argentina. This is the first time this ability is recorded in the Mucor or Trichoderma species. When the isolated strains were compared in relation to their capacity to use the herbicide, those of Trichoderma showed the best results. Because of this, they were selected for further assays. The effect of metsulfuron on growth in liquid media was tested. Also, the ability of conidia to germinate in water agar medium containing the target herbicide was evaluated. All… More >

  • Open Access

    ARTICLE

    ICVSS: A New Method for Vulnerability Quantitative Grading

    Tiantian Tan1,*, Baosheng Wang1, Yong Tang1, Xu Zhou1, Jingwen Han2

    CMC-Computers, Materials & Continua, Vol.61, No.2, pp. 629-641, 2019, DOI:10.32604/cmc.2019.06049

    Abstract Vulnerability technology is the basic of network security technology, vulnerability quantitative grading methods, such as CVSS, WIVSS, ICVSS, provide a reference to vulnerability management, but the problems of ignoring the risk elevation caused by a group of vulnerabilities and low accuracy of exploitable level evaluation exist in current vulnerability quantitative grading methods. To solve problems above in current network security quantitative evaluation methods, this paper verified the high relevance degree between type and exploitable score of vulnerability, proposed a new vulnerability quantitative grading method ICVSS, ICVSS can explore attack path using continuity level defined by privilege, add vulnerability type to… More >

  • Open Access

    ARTICLE

    Dynamic Analysis of Non-Symmetric Functionally Graded (FG) Cylindrical Structure under Shock Loading by Radial Shape Function Using Meshless Local Petrov-Galerkin (MLPG) Method with Nonlinear Grading Patterns

    Y. Sadeghi Ferezghi1, M.R. Sohrabi1, S.M Mosavi Nezhad 2, *

    CMES-Computer Modeling in Engineering & Sciences, Vol.113, No.4, pp. 497-520, 2017, DOI:10.3970/cmes.2017.113.497

    Abstract In this paper, dynamic behavior of non-symmetric Functionally Graded (FG) cylindrical structure under shock loading is carried out. Dynamic equations in the polar coordinates are drawn out using Meshless Local Petrov-Galerkin (MLPG) method. Nonlinear volume fractions are used for radial direction to simulate the mechanical properties of Functionally Graded Material (FGM). To solve dynamic equations of non-symmetric FG cylindrical structure in the time domain, the MLPG method are combined with the Laplace transform method. For computing the inverse Laplace transform in the present paper, the Talbot algorithm for the numerical inversion is used. To verify the obtained results by the… More >

  • Open Access

    ARTICLE

    Devanagari Handwriting Grading System Based on Curvature Features

    Munish Kumar1, Simpel Rani Jindal2

    CMES-Computer Modeling in Engineering & Sciences, Vol.113, No.2, pp. 195-202, 2017, DOI:10.3970/cmes.2017.113.201

    Abstract Grading of writers in perspective of their handwriting is a challenging task owing to various writing styles of different individuals. This paper presents a framework for grading of Devanagari writers in perspective of their handwriting. This framework of grading can be useful in conducting the handwriting competitions and then deciding the winners on the basis of an automated process. Selecting the set of features is a challenging task for implementing a handwriting grading system of particular language. In this paper, curvature features, namely, parabola curve fitting and power curve fitting have been considered for extracting the vital information of writers,… More >

  • Open Access

    ARTICLE

    On the Numerical Solution of the Laplace Equation with Complete and Incomplete Cauchy Data Using Integral Equations

    Christina Babenko1, Roman Chapko2, B. Tomas Johansson3

    CMES-Computer Modeling in Engineering & Sciences, Vol.101, No.5, pp. 299-317, 2014, DOI:10.3970/cmes.2014.101.299

    Abstract We consider the numerical solution of the Laplace equations in planar bounded domains with corners for two types of boundary conditions. The first one is the mixed boundary value problem (Dirichlet-Neumann), which is reduced, via a single-layer potential ansatz, to a system of well-posed boundary integral equations. The second one is the Cauchy problem having Dirichlet and Neumann data given on a part of the boundary of the solution domain. This problem is similarly transformed into a system of ill-posed boundary integral equations. For both systems, to numerically solve them, a mesh grading transformation is employed together with trigonometric quadrature… More >

  • Open Access

    ARTICLE

    Two-dimensional elastic wave propagation analysis in finite length FG thick hollow cylinders with 2D nonlinear grading patterns using MLPG method

    S.M. Moussavinezhad1, Farzad Shahabian1, Seyed Mahmoud Hosseini2,3

    CMES-Computer Modeling in Engineering & Sciences, Vol.91, No.3, pp. 177-204, 2013, DOI:10.3970/cmes.2013.091.177

    Abstract In this article, the propagation of elastic wave is studied in two dimensional functionally graded thick hollow cylinder with finite length subjected to mechanical shock loading, considering two dimensional variations for mechanical properties. The meshless local Petrov-Galerkin (MLPG) method is developed to solve the boundary value problem. The Newmark finite difference method is used to treat the time dependence of the variables for transient problems. The FG cylinder is considered to be under axisymmetric conditions. The mechanical properties of FG cylinder are assumed to vary across thickness and length of FG cylinder in terms of two dimensional volume fractions as… More >

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