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  • Open Access


    Improvement method for cervical cancer detection: A comparative analysis


    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


    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


    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


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


    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


    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


    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


    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 >

  • Open Access


    Comparative Analysis of Wavelet Transform for Time-Frequency Analysis and Transient Localization in Structural Health Monitoring

    Ahmed Silik1,2, Mohammad Noori3,*, Wael A. Altabey1,4, Ramin Ghiasi1, Zhishen Wu1

    Structural Durability & Health Monitoring, Vol.15, No.1, pp. 1-22, 2021, DOI:10.32604/sdhm.2021.012751

    Abstract A critical problem facing data collection in structural health monitoring, for instance via sensor networks, is how to extract the main components and useful features for damage detection. A structural dynamic measurement is more often a complex time-varying process and therefore, is prone to dynamic changes in time-frequency contents. To extract the signal components and capture the useful features associated with damage from such non-stationary signals, a technique that combines the time and frequency analysis and shows the signal evolution in both time and frequency is required. Wavelet analyses have proven to be a viable and effective tool in this… More >

  • Open Access


    Physicochemical Properties Comparative Analysis of Corn Starch and Cassava Starch, and Comparative Analysis as Adhesive

    Xiaojian Chen1, Wenrui Yao1, Feifei Gao1, Dingyuan Zheng1, Qiong Wang3, Jun Cao2,*, Haiyan Tan1, Yanhua Zhang1,2,*

    Journal of Renewable Materials, Vol.9, No.5, pp. 979-992, 2021, DOI:10.32604/jrm.2021.014751

    Abstract The morphology and properties of corn starch and cassava starch were compared by SEM, DSC and TGA. The effects of amylose and amylopectin content on starch properties were studied by FT-IR, XRD and XPS. The plywood was pressed with the prepared adhesive and the bonding strength of the plywood was tested to analyze the difference among the adhesives from different plant sources and the difference after blending PAPI prepolymer. FT-IR results showed that the hydroxyl peak of cassava starch was stronger and wider. TGA showed that the residue of cassava starch was lower, but the thermal stability of cassava starch… More >

  • Open Access


    Test and Analysis of the Sound Insulation Performance of Four Types of Timber Structure Floors under Jumping Excitation

    Yujie Huang1, Hao Zhu2, Dauletbek Assima4, Zheng Wang1,*, Minmin Li3, Xinyue Zhao1

    Journal of Renewable Materials, Vol.9, No.4, pp. 829-840, 2021, DOI:10.32604/jrm.2021.014610

    Abstract To improve the impact sound insulation performance of building floors and meet the objective requirements for living comfort of residents, in this article, three kinds of elastic cushion materials, Portuguese cork board, BGL insulation sound insulation foam board, and EPP polypropylene plastic foam board, are applied to the sound insulation of a light frame wood floor structure of the same bedroom and compared to the ordinary floor. This study uses the transfer function method and transient excitation method to measure the sound insulation, damping ratio, and elastic modulus of materials, as well as the sound insulation of the floor under… More >

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