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  • Open Access

    ARTICLE

    Comparative Analysis of COVID-19 Detection Methods Based on Neural Network

    Inès Hilali-Jaghdam1,*, Azhari A Elhag2, Anis Ben Ishak3, Bushra M. Elamin Elnaim4, Omer Eltag Mohammed Elhag5, Feda Muhammed Abuhaimed1, S. Abdel-Khalek2,6

    CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 1127-1150, 2023, DOI:10.32604/cmc.2023.038915 - 08 June 2023

    Abstract In 2019, the novel coronavirus disease 2019 (COVID-19) ravaged the world. As of July 2021, there are about 192 million infected people worldwide and 4.1365 million deaths. At present, the new coronavirus is still spreading and circulating in many places around the world, especially since the emergence of Delta variant strains has increased the risk of the COVID-19 pandemic again. The symptoms of COVID-19 are diverse, and most patients have mild symptoms, with fever, dry cough, and fatigue as the main manifestations, and about 15.7% to 32.0% of patients will develop severe symptoms. Patients are… More >

  • Open Access

    ARTICLE

    Comparative Analysis for Evaluating Wind Energy Resources Using Intelligent Optimization Algorithms and Numerical Methods

    Musaed Alrashidi*

    Computer Systems Science and Engineering, Vol.47, No.1, pp. 491-513, 2023, DOI:10.32604/csse.2023.038628 - 26 May 2023

    Abstract Statistical distributions are used to model wind speed, and the two-parameters Weibull distribution has proven its effectiveness at characterizing wind speed. Accurate estimation of Weibull parameters, the scale (c) and shape (k), is crucial in describing the actual wind speed data and evaluating the wind energy potential. Therefore, this study compares the most common conventional numerical (CN) estimation methods and the recent intelligent optimization algorithms (IOA) to show how precise estimation of c and k affects the wind energy resource assessments. In addition, this study conducts technical and economic feasibility studies for five sites in the northern… More >

  • Open Access

    ARTICLE

    Comparative Analysis of Execution of CNN-Based Sanguine Data Transmission with LSB-SS and PVD-SS

    Alaknanda S. Patil1,*, G. Sundari1, Arun Kumar Sivaraman2

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1707-1721, 2023, DOI:10.32604/csse.2023.034270 - 09 February 2023

    Abstract The intact data transmission to the authentic user is becoming crucial at every moment in the current era. Steganography; is a technique for concealing the hidden message in any cover media such as image, video; and audio to increase the protection of data. The resilience and imperceptibility are improved by choosing an appropriate embedding position. This paper gives a novel system to immerse the secret information in different videos with different methods. An audio and video steganography with novel amalgamations are implemented to immerse the confidential auditory information and the authentic user’s face image. A… More >

  • Open Access

    ARTICLE

    Structural characterization of four Rhododendron spp. chloroplast genomes and comparative analyses with other azaleas

    XIAOJUN ZHOU1,*, MENGXUE LIU1, LINLIN SONG2

    BIOCELL, Vol.47, No.3, pp. 657-668, 2023, DOI:10.32604/biocell.2023.026781 - 03 January 2023

    Abstract Azalea is a general designation of Rhododendron in the Ericaceae family. Rhododendron not only has high ornamental value but also has application value in ecological protection, medicine, and scientific research. In this study, we used Illumina and PacBio sequencing to assemble and annotate the entire chloroplast genomes (cp genomes) of four Rhododendron species. The chloroplast genomes of R. concinnum, R. henanense subsp. lingbaoense, R. micranthum, and R. simsii were assembled into 207,236, 208,015, 207,233, and 206,912 bp, respectively. All chloroplast genomes contain eight rRNA genes, with either 88 or 89 protein-coding genes. The four cp genomes were compared and analyzed by More >

  • Open Access

    ARTICLE

    Comparative Analysis of Equal and Unequal Grounding Grid Configurations by Compression Ratio and Least Square Curve Fitting Techniques

    M. Soni*, Abraham George

    Energy Engineering, Vol.120, No.3, pp. 597-616, 2023, DOI:10.32604/ee.2023.021301 - 03 January 2023

    Abstract The primary aim of the power system grounding is to safeguard the person and satisfying the performance of the power system to maintain reliable operation. With equal conductor spacing grounding grid design, the distribution of the current in the grid is not uniform. Hence, unequal grid conductor span in which grid conductors are concentrated more at the periphery is safer to practice than equal spacing. This paper presents the comparative analysis of two novel techniques that create unequal spacing among the grid conductors: the least-square curve fitting technique and the compression ratio technique with equal More >

  • Open Access

    ARTICLE

    Comparative Analysis of the Photosynthetic Characteristics and Active Compounds of Semiliquidambar cathayensis Chang Heteromorphic Leaves

    Xiaoming Tian*, Guangfeng Xiang, Hao Lv, Jing Peng, Lu Zhu

    Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 837-850, 2023, DOI:10.32604/phyton.2023.024408 - 29 November 2022

    Abstract In the present study, the variation patterns of leaf shape in different populations of individual Semiliquidambar cathayensis plants were analyzed to investigate the relationship among leaf shape variation, photosynthetic properties, and active compounds to understand the genetic characteristics of S. cathayensis and screen elite germplasms. The leaf shape of 18 offspring from three natural S. cathayensis populations was analyzed to investigate the level of diversity and variation patterns of leaf shape. Furthermore, photosynthetic pigment content, physiological parameters of photosynthesis, and the active compounds in leaves of different shapes were determined. Statistical analysis showed that the leaf shape variation in  S.More >

  • Open Access

    ARTICLE

    Comparative Analysis of Pythagorean MCDM Methods for the Risk Assessment of Childhood Cancer

    Shaista Habib1, Muhammad Akram2,*, M. M. Ali Al-Shamiri3

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2585-2615, 2023, DOI:10.32604/cmes.2023.024551 - 23 November 2022

    Abstract According to the World Health Organization (WHO), cancer is the leading cause of death for children in low and middle-income countries. Around 400,000 kids get diagnosed with this illness each year, and their survival rate depends on the country in which they live. In this article, we present a Pythagorean fuzzy model that may help doctors identify the most likely type of cancer in children at an early stage by taking into account the symptoms of different types of cancer. The Pythagorean fuzzy decision-making techniques that we utilize are Pythagorean Fuzzy TOPSIS, Pythagorean Fuzzy Entropy More > Graphic Abstract

    Comparative Analysis of Pythagorean MCDM Methods for the Risk Assessment of Childhood Cancer

  • Open Access

    ARTICLE

    Comparative Analysis of the Measured and Simulated Performances of a Grid-Connected Photovoltaic Power Plant

    Mourad Benfares*, Sanae Janati Edrissi, Mohammed Benbrahim, Izeddine Zorkani, Anouar Jorio, Ali Didi Seddik

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.6, pp. 1805-1813, 2022, DOI:10.32604/fdmp.2022.022095 - 27 June 2022

    Abstract The present study comparing actual data and simulated parameters was carried out using the PVsyst software for a 5.94 KWp grid-connected photovoltaic system, consisting of three types of mono-Si (2.04 KWp), poly-Si (2.04 KWp) and amorphous-Si (1.86 KWp) photovoltaic panels and a weather station. The research is based on data collected for one year (2020) of energy production Simulations were performed using long-term meteorological data generated by NASA and on-site measurement. A comparison of evaluated monthly and annually performance elements has also been considered: Eac, PR, FC. As shown by the results, each photovoltaic technology More >

  • Open Access

    ARTICLE

    Comparative Analysis Using Machine Learning Techniques for Fine Grain Sentiments

    Zeeshan Ahmad1, Waqas Haider Bangyal1, Kashif Nisar2,3,*, Muhammad Reazul Haque4, M. Adil Khan5

    Journal on Artificial Intelligence, Vol.4, No.1, pp. 49-60, 2022, DOI:10.32604/jai.2022.017992 - 16 May 2022

    Abstract Huge amount of data is being produced every second for microblogs, different content sharing sites, and social networking. Sentimental classification is a tool that is frequently used to identify underlying opinions and sentiments present in the text and classifying them. It is widely used for social media platforms to find user's sentiments about a particular topic or product. Capturing, assembling, and analyzing sentiments has been challenge for researchers. To handle these challenges, we present a comparative sentiment analysis study in which we used the fine-grained Stanford Sentiment Treebank (SST) dataset, based on 215,154 exclusive texts More >

  • Open Access

    ARTICLE

    Insight into the characteristics of an important evolutionary model bird (Geospiza magnirostris) mitochondrial genome through comparison

    ZHENGGANG XU1,2,3, LIANG WU3, JIAHAO CHEN1, YUNLIN ZHAO3, CHONGXUAN HAN1, TIAN HUANG2, GUIYAN YANG1,*

    BIOCELL, Vol.46, No.7, pp. 1733-1746, 2022, DOI:10.32604/biocell.2022.015784 - 17 March 2022

    Abstract Darwin’s finches are the most classic case of evolution. Early studies on the evolution of this species were mainly based on morphology. Until now, the mitochondrial genome of Geospiza magnirostris has been sequenced and the study explored the characteristics of the complete genome of G. magnirostris and verified the evolutionary position of it. The 13 PCGs initiated by ATN codons. The stop codons of three PCGs (ND2, COX3 and ND4) were incomplete, with only T- or TA- replacing complete form TAA or TAG. All the tRNA genes expressed a typical cloverleaf secondary structure, except for tRNASer1(AGY), whose dihydrouridine (DHU)… More >

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