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  • 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,… 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… More >

  • Open Access

    ARTICLE

    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… More >

  • Open Access

    ARTICLE

    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 More >

  • Open Access

    ARTICLE

    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… More >

  • Open Access

    ARTICLE

    Analytic Hierarchy Process for Evaluating Flipped Classroom Learning

    Husam Jasim Mohammed1,*, Hajem Ati Daham2

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2229-2239, 2021, DOI:10.32604/cmc.2021.014445

    Abstract In reality, the flipped classroom has gained popularity as a modern way of structuring teaching, where lectures move from in-class procedures to digitally-based assignments, freeing up the debate, and practice exercises class time. Therefore, it is essential to implement and analyze a way of teaching that will improve student performance. The paper aims to develop a model of the method of teaching science in Iraqi schools, and to assess whether teaching flipped classroom affects the achievement, motivation, and creative thinking of students by using the methodology of Multi-Criteria Decision Making (MCDM) in the Analytic Hierarchy… More >

  • Open Access

    ARTICLE

    Semantic Analysis Techniques using Twitter Datasets on Big Data: Comparative Analysis Study

    Belal Abdullah Hezam Murshed1,∗, Hasib Daowd Esmail Al-ariki2,†, Suresha Mallappa3,‡

    Computer Systems Science and Engineering, Vol.35, No.6, pp. 495-512, 2020, DOI:10.32604/csse.2020.35.495

    Abstract This paper conducts a comprehensive review of various word and sentence semantic similarity techniques proposed in the literature. Corpus-based, Knowledge-based, and Feature-based are categorized under word semantic similarity techniques. String and set-based, Word Order-based Similarity, POSbased, Syntactic dependency-based are categorized as sentence semantic similarity techniques. Using these techniques, we propose a model for computing the overall accuracy of the twitter dataset. The proposed model has been tested on the following four measures: Atish’s measure, Li’s measure, Mihalcea’s measure with path similarity, and Mihalcea’s measure with Wu and Palmer’s (WuP) similarity. Finally, we evaluate the proposed More >

  • Open Access

    ARTICLE

    Comparative Analyses and Phylogenetic Relationships between Cryptomeria fortunei and Related Species Based on Complete Chloroplast Genomes

    Yingting Zhang1,2,3, Junjie Yang1,2,3, Zhenhao Guo1,2,3, Jiaxing Mo1,2,3, Jiebing Cui1,2,3, Hailiang Hu1,2,3, Jin Xu1,2,3,*

    Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 957-986, 2020, DOI:10.32604/phyton.2020.011211

    Abstract Cryptomeria fortunei (Chinese cedar) is a highly adaptable woody species and one of the main forest plantation trees in subtropical high-altitude areas in China. However, there are few studies on its chloroplast (cp) genome. In this study, the complete cp genome of C. fortunei was sequenced and evaluated via comparative analyses with those of related species (formerly the Taxodiaceae) in Cupressaceae. The C. fortunei cp genome was 131,580 bp in length, and the GC content of the whole genome was 35.38%. It lost one relevant large inverted repeat and contained 114 unique genes, including 82 protein-coding genes, 28… More >

  • Open Access

    ARTICLE

    Identifying Game Processes Based on Private Working Sets

    Jinfeng Li1, Li Feng1, *, Longqing Zhang2, Hongning Dai1, Lei Yang1, Liwei Tian1

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 639-651, 2020, DOI:10.32604/cmc.2020.010309

    Abstract Fueled by the booming online games, there is an increasing demand for monitoring online games in various settings. One of the application scenarios is the monitor of computer games in school computer labs, for which an intelligent game recognition method is required. In this paper, a method to identify game processes in accordance with private working sets (i.e., the amount of memory occupied by a process but cannot be shared among other processes) is introduced. Results of the W test showed that the memory sizes occupied by the legitimate processes (e.g., the processes of common… More >

  • Open Access

    ARTICLE

    A Comparative Analysis of RAD and Agile Technique for Management of Computing Graduation Projects

    Fazal Qudus Khan1, Saim Rasheed1, Maged Alsheshtawi1, Tarig Mohamed Ahmed1, 2, Sadeeq Jan3, *

    CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 777-796, 2020, DOI:10.32604/cmc.2020.010959

    Abstract Computing students face the problem with time and quality of the work while managing their graduation/senior projects. Rapid Application Development (RAD) model is based on continual user involvement for the process of requirement gathering via prototyping. After each iteration, the developers can validate the requirements that are completed in the iteration. Managing a project with RAD is easier but not flexible. On the other hand, Agile project management techniques focus on flexibility, agility, teamwork and quality based on user stories. Continual user involvement is avoided, which requires extensive maintenance time for fixing iteration and release… More >

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