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  • Open Access

    ARTICLE

    Recognition and Classification of Pomegranate Leaves Diseases by Image Processing and Machine Learning Techniques

    Mangena Venu Madhavan1, Dang Ngoc Hoang Thanh2, Aditya Khamparia1,*, Sagar Pande1, Rahul Malik1, Deepak Gupta3

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2939-2955, 2021, DOI:10.32604/cmc.2021.012466

    Abstract Disease recognition in plants is one of the essential problems in agricultural image processing. This article focuses on designing a framework that can recognize and classify diseases on pomegranate plants exactly. The framework utilizes image processing techniques such as image acquisition, image resizing, image enhancement, image segmentation, ROI extraction (region of interest), and feature extraction. An image dataset related to pomegranate leaf disease is utilized to implement the framework, divided into a training set and a test set. In the implementation process, techniques such as image enhancement and image segmentation are primarily used for identifying ROI and features. An image… More >

  • Open Access

    ARTICLE

    Experimental Evaluation of Clickbait Detection Using Machine Learning Models

    Iftikhar Ahmad1,*, Mohammed A. Alqarni2, Abdulwahab Ali Almazroi3, Abdullah Tariq1

    Intelligent Automation & Soft Computing, Vol.26, No.6, pp. 1335-1344, 2020, DOI:10.32604/iasc.2020.013861

    Abstract The exponential growth of social media has been instrumental in directing the news outlets to rely on the stated platform for the dissemination of news stories. While social media has helped in the fast propagation of breaking news, it also has allowed many bad actors to exploit this medium for political and monetary purposes. With such an intention, tempting headlines, which are not aligned with the content, are being used to lure users to visit the websites that often post dodgy and unreliable information. This phenomenon is commonly known as clickbait. A number of machine learning techniques have been developed… More >

  • Open Access

    ARTICLE

    Exosomes derived from circBCRC-3-knockdown mesenchymal stem cells promoted macrophage polarization

    QI SONG1, JUN ZHANG1, QIANG ZHANG1, JING LIU1, KE LV1, JIALU YAO1,2,3,*, YAFENG ZHOU2,3,*

    BIOCELL, Vol.44, No.4, pp. 623-629, 2020, DOI:10.32604/biocell.2020.012645

    Abstract Macrophages play an essential role in the myocardial ischemia-reperfusion injury (MIRI), and the macrophage shifting from M1 to M2 phenotypes might be a potential strategy for the treatment of MIRI. It has been reported that miR-182 plays an important role in MSC-Exo-associated macrophage polarization. As circBCRC-3 is a newly discovered circle RNA that worked as a sponge of miR-182, this research aimed to find if circBCRC-3 plays a role in MSC-Exo-associated macrophage polarization. Firstly, circBCRC-3 was identified by divergent primers in mesenchymal stem cells (MSCs). Secondly, the exosome of MSCs was isolated and identified by transmission electron microscopy (TEM), nanoparticle-tracking… More >

  • Open Access

    ARTICLE

    GP30 of the mycobacteriophage CASbig impairs mycobacterial adaptation during acidic stress and in macrophages

    WU LI1, JIANGZHE SI2, SHUAI QIU2, JING LUO1, HUIQIONG SUN1, XIAOQING LI1, ZHIBIN WAN1, WEI GAO1, HANLU ZOU1, LEI ZHANG2, XIAOHONG XIANG3, YANZHANG LI2, TIESHAN TENG2,*

    BIOCELL, Vol.44, No.4, pp. 695-701, 2020, DOI:10.32604/biocell.2020.011941

    Abstract The rapid emergence of multidrug-resistant and extensively drug-resistant Tuberculosis retrieved intense interest in phage-based therapy. This old approach, which was abandoned in the west in the 1940s but is generating renewed interest, has stimulated fresh research on mycobacteriophages and their lytic efficiency against their hosts. GP30 is a novel protein of the mycobacteriophage CASbig with undiscovered function. In this study, we analyzed the role of CASbig gp30 in the host Mycobacterium smegmatis. Overexpression of gp30 in the host led to reduced growth in acidic medium and attenuated the intracellular survival rate of M. smegmatis inside the THP-1 macrophages, which may… More >

  • Open Access

    ARTICLE

    Highway Cost Prediction Based on LSSVM Optimized by Intial Parameters

    Xueqing Wang1, Shuang Liu1,*, Lejun Zhang2

    Computer Systems Science and Engineering, Vol.36, No.1, pp. 259-269, 2021, DOI:10.32604/csse.2021.014343

    Abstract The cost of highway is affected by many factors. Its composition and calculation are complicated and have great ambiguity. Calculating the cost of highway according to the traditional highway engineering estimation method is a completely tedious task. Constructing a highway cost prediction model can forecast the value promptly and improve the accuracy of highway engineering cost. This work sorts out and collects 60 sets of measured data of highway engineering; establishes an expressway cost index system based on 10 factors, including main route mileage, roadbed width, roadbed earthwork, and number of bridges; and processes the data through principal component analysis… More >

  • Open Access

    ARTICLE

    Multiple Response Optimization of Dimensional Accuracy of Nimonic Alloy Miniature Gear Machined on Wire Edm Using Entropy Topsis Andpareto Anova

    Tina Chaudhary1,*, Arshad Noor Siddiquee2, Arindam Kumar Chanda3, Shafi Ahmad2, Irfan Anjum Badruddin4,*, Zahid A. Khan2

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.1, pp. 241-259, 2021, DOI:10.32604/cmes.2021.013368

    Abstract The purpose of this research is to obtain the optimum cutting parameters to achieve the dimensional accuracy of Nimonic alloy miniature gear manufactured using Wire EDM. The cutting parameters investigated in this study are current, pulse on time (PON), pulse off time (POFF), wire tension (WT) and dielectric fluids. Ethylene glycol, nanopowder of alumina and oxygen are mixed to demineralized water to prepare novel dielectric fluids. Deviation in inner diameter, deviation in outer diameter, deviation in land and deviation in tooth width are considered to check the dimensional accuracy. Taguchi L16 is employed for experimental design and multiple response optimization… More >

  • Open Access

    ARTICLE

    Analyzing the Flow Field in the Oil Chamber of a Hydrostatic Guide Rail Used for Ultra-Precision Machining: Numerical Simulation and Performance Optimization

    Youxin Li*

    FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.6, pp. 1129-1145, 2020, DOI:10.32604/fdmp.2020.09437

    Abstract In order to explore the impact of different structural design parameters and environmental factors on the performance of the hydrostatic guide rail, the flow field inside its oil chamber is simulated, which provides direction and guidance for the design and optimization of the guide rail system. Based on the theory of fluid lubrication and the Reynolds equation, numerical simulations are performed through a mathematical model. The results suggest that the bearing capacity of the oil film increases with the oil supply pressure. The film thickness and the film stiffness share a positive correlation. Different oil film thickness and different input… More >

  • Open Access

    ARTICLE

    Research on the Dynamic Compensation System of the Cathode Electrode Wear for a Short Electric Arc Machine Tool

    Bo Li1,3, Di Xiong2,*

    Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 1007-1021, 2020, DOI:10.32604/iasc.2020.010133

    Abstract A methodology of on-line monitoring of the diameter of the cathode electrode is put forward in light of the issue that the diameter of the cathode electrode cannot be detected in an accurate manner in short electric arc machine tools. The monitoring methodology is capable of precisely determining the wear amount of the cathode electrode and uses the bus module in the numerical control machine tool to feed the wear amount of the cathode electrode back to the numerical control system (CNC system). The CNC system dynamically adjusts the position of the cathode electrode by driving the compensation shaft to… More >

  • Open Access

    ARTICLE

    Prediction of Permeability Using Random Forest and Genetic Algorithm Model

    Junhui Wang1, Wanzi Yan1, Zhijun Wan1,*, Yi Wang2,*, Jiakun Lv1, Aiping Zhou3

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 1135-1157, 2020, DOI:10.32604/cmes.2020.014313

    Abstract Precise recovery of Coalbed Methane (CBM) based on transparent reconstruction of geological conditions is a branch of intelligent mining. The process of permeability reconstruction, ranging from data perception to real-time data visualization, is applicable to disaster risk warning and intelligent decision-making on gas drainage. In this study, a machine learning method integrating the Random Forest (RF) and the Genetic Algorithm (GA) was established for permeability prediction in the Xishan Coalfield based on Uniaxial Compressive Strength (UCS), effective stress, temperature and gas pressure. A total of 50 sets of data collected by a self-developed apparatus were used to generate datasets for… More >

  • Open Access

    ARTICLE

    Study of Non-Pharmacological Interventions on COVID-19 Spread

    Avaneesh Singh*, Saroj Kumar Chandra, Manish Kumar Bajpai

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 967-990, 2020, DOI:10.32604/cmes.2020.011601

    Abstract COVID-19 disease has emerged as one of the life threatening threat to the society. A novel beta coronavirus causes it. It began as unidentified pneumonia of unknown etiology in Wuhan City, Hubei province in China emerged in December 2019. No vaccine has been produced till now. Mathematical models are used to study the impact of different measures used to decrease pandemic. Mathematical models have been designed to estimate the numbers of spreaders in different scenarios in the present manuscript. In the present manuscript, three different mathematical models have been proposed with different scenarios, such as screening, quarantine, and NPIs, to… More >

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