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  • 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

    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 grid configuration for both square… 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

    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. cathayensisMore >

  • 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

    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 (PF-Entropy), and Pythagorean Fuzzy Power… More > Graphic Abstract

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

  • Open Access

    REVIEW

    Improvement method for cervical cancer detection: A comparative analysis

    NUR AIN ALIAS1, WAN AZANI MUSTAFA1,2,*, MOHD AMINUDIN JAMLOS3, AHMED ALKHAYYAT4, KHAIRUL SHAKIR AB RAHMAN5, RAMI Q. MALIK6

    Oncology Research, Vol.29, No.5, pp. 365-376, 2021, DOI:10.32604/or.2022.025897

    Abstract Cervical cancer is a prevalent and deadly cancer that affects women all over the world. It affects about 0.5 million women anually and results in over 0.3 million fatalities. Diagnosis of this cancer was previously done manually, which could result in false positives or negatives. The researchers are still contemplating how to detect cervical cancer automatically and how to evaluate Pap smear images. Hence, this paper has reviewed several detection methods from the previous researches that has been done before. This paper reviews pre-processing, detection method framework for nucleus detection, and analysis performance of the method selected. There are four… More >

  • 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

    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 has certain advantages in different… 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

    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 of different lengths that are… 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

    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) arm… More >

  • Open Access

    ARTICLE

    Comparative Analysis of the Complete Chloroplast Genome Sequences of Four Origin Plants of Lonicerae Flos (Lonicera; Caprifoliaceae)

    Sisi Liu1, Lisi Zhou2, Jiaoli Huang1, Huijie Zeng1, Zhongquan Qiao1, Yongxin Li1,*, Gang Zhang3,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1503-1516, 2022, DOI:10.32604/phyton.2022.020390

    Abstract Lonicerae Flos (LF) derived from the dried flower buds or opening flowers of four Lonicera plants (Lonicera macranthoides, L. hypoglauca, L. confusa, and L. fulvotnetosa), is a popular traditional Chinese medicine. Because the four origin plants are very similar in morphology, it is difficult to control the quality of LF in actual production. Over the past decade, many reports have pointed out the differences among them, including the botanical characteristics and active ingredients. However, there is still a lack of rapid methods that can be applied to the identification of the four origins. In this study, comparative analysis of the… More >

  • Open Access

    ARTICLE

    A Comparative Analysis of Machine Learning Algorithms to Predict Liver Disease

    Mounita Ghosh1, Md. Mohsin Sarker Raihan1, M. Raihan2, Laboni Akter1, Anupam Kumar Bairagi3, Sultan S. Alshamrani4, Mehedi Masud5,*

    Intelligent Automation & Soft Computing, Vol.30, No.3, pp. 917-928, 2021, DOI:10.32604/iasc.2021.017989

    Abstract The liver is considered an essential organ in the human body. Liver disorders have risen globally at an unprecedented pace due to unhealthy lifestyles and excessive alcohol consumption. Chronic liver disease is one of the principal causes of death affecting large portions of the global population. An accumulation of liver-damaging factors deteriorates this condition. Obesity, an undiagnosed hepatitis infection, alcohol abuse, coughing or vomiting blood, kidney or hepatic failure, jaundice, liver encephalopathy, and many more disorders are responsible for it. Thus, immediate intervention is needed to diagnose the ailment before it is too late. Therefore, this work aims to evaluate… More >

  • Open Access

    ARTICLE

    A Smart Comparative Analysis for Secure Electronic Websites

    Sobia Wassan1, Chen Xi1,*, Nz Jhanjhi2, Hassan Raza3

    Intelligent Automation & Soft Computing, Vol.30, No.1, pp. 187-199, 2021, DOI:10.32604/iasc.2021.015859

    Abstract Online banking is an ideal method for conducting financial transactions such as e-commerce, e-banking, and e-payments. The growing popularity of online payment services and payroll systems, however, has opened new pathways for hackers to steal consumers’ information and money, a risk which poses significant danger to the users of e-commerce and e-banking websites. This study uses the selection method of the entire e-commerce and e-banking website dataset (Chi-Squared, Gini index, and main learning algorithm). The results of the analysis suggest the identification and comparison of machine learning and deep learning algorithm performance on binary category labels (legal, fraudulent) between similar… More >

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