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  • Open Access

    ARTICLE

    Suggestion of Maintenance Criteria for Electric Railroad Facilities Based on Fuzzy TOPSIS

    Sunwoo Hwang1, Joouk Kim1, Hagseoung Kim1, Hyungchul Kim2, Youngmin Kim3,*

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5453-5466, 2022, DOI:10.32604/cmc.2022.021057

    Abstract This paper is on the suggestion of maintenance items for electric railway facility systems. With the recent increase in the use of electric locomotives, the utilization and importance of railroad electrical facility systems are also increasing, but the railroad electrical facility system in Korea is rapidly aging. To solve this problem, various methodologies are applied to ensure operational reliability and stability for railroad electrical facility systems, but there is a lack of detailed evaluation criteria for railroad electrical facility system maintenance. Also, maintenance items must be selected in a scientific and systematic method. Therefore, railroad More >

  • Open Access

    ARTICLE

    An Improved Method Based on TODIM and TOPSIS for Multi-Attribute Decision-Making with Multi-Valued Neutrosophic Sets

    Dongsheng Xu, Lijuan Peng*

    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.2, pp. 907-926, 2021, DOI:10.32604/cmes.2021.016720

    Abstract Due to the complexity of decision-making problems and the subjectivity of decision-makers in practical application, it is necessary to adopt different forms of information expression according to the actual situation of specific decision-making problems and choose the best method to solve them. Multi-valued neutrosophic set, as an extension of neutrosophic set, can more effectively and accurately describe incomplete, uncertain or inconsistent information. TODIM and TOPSIS methods are two commonly used multi-attribute decision-making methods, each of which has its advantages and disadvantages. This paper proposes a new method based on TODIM and TOPSIS to solve multi-attribute More >

  • Open Access

    ARTICLE

    Integrating Blockchain Technology into Healthcare Through an Intelligent Computing Technique

    Asif Irshad Khan1,*, Abdullah Saad Al-Malaise ALGhamdi2, Fawaz Jaber Alsolami1, Yoosef B. Abushark1, Abdulmohsen Almalawi1, Abdullah Marish Ali1, Alka Agrawal3, Rajeev Kumar4, Raees Ahmad Khan3

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2835-2860, 2022, DOI:10.32604/cmc.2022.020342

    Abstract The blockchain technology plays a significant role in the present era of information technology. In the last few years, this technology has been used effectively in several domains. It has already made significant differences in human life, as well as is intended to have noticeable impact in many other domains in the forthcoming years. The rapid growth in blockchain technology has created numerous new possibilities for use, especially for healthcare applications. The digital healthcare services require highly effective security methodologies that can integrate data security with the available management strategies. To test and understand this… More >

  • Open Access

    ARTICLE

    Sustainable Supplier Selection Model in Supply Chains During the COVID-19 Pandemic

    Chia-Nan Wang1, Chao-Fen Pan1,*, Viet Tinh Nguyen2, Syed Tam Husain2

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3005-3019, 2022, DOI:10.32604/cmc.2022.020206

    Abstract As global supply chains become more developed and complicated, supplier quality has become increasingly influential on the competitiveness of businesses during the Covid-19 pandemic. Consequently, supplier selection is an increasingly important process for any business around the globe. Choosing a supplier is a complex decision that can result in lower procurement costs and increased profits without increasing the cost or lowering the quality of the product. However, these decision-making problems can be complicated in cases with multiple potential suppliers. Vietnam's textile and garment industry, for example, has made rapid progress in recent years but is… More >

  • Open Access

    ARTICLE

    Hybrid Computational Modeling for Web Application Security Assessment

    Adil Hussain Seh1, Jehad F. Al-Amri2, Ahmad F. Subahi3, Md Tarique Jamal Ansari1, Rajeev Kumar4,*, Mohammad Ubaidullah Bokhari5, Raees Ahmad Khan1

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 469-489, 2022, DOI:10.32604/cmc.2022.019593

    Abstract Transformation from conventional business management systems to smart digital systems is a recurrent trend in the current era. This has led to digital revolution, and in this context, the hardwired technologies in the software industry play a significant role However, from the beginning, software security remains a serious issue for all levels of stakeholders. Software vulnerabilities lead to intrusions that cause data breaches and result in disclosure of sensitive data, compromising the organizations’ reputation that translates into, financial losses as well. Most of the data breaches are financially motivated, especially in the healthcare sector. The… More >

  • Open Access

    ARTICLE

    Multi-Level Hesitant Fuzzy Based Model for Usable-Security Assessment

    Mohd Nadeem1, Jehad F. Al-Amri2, Ahmad F. Subahi3, Adil Hussain Seh1, Suhel Ahmad Khan4, Alka Agrawal1, Raees Ahmad Khan1,*

    Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 61-82, 2022, DOI:10.32604/iasc.2022.019624

    Abstract Present day healthcare sector is frequently victimized by the intruders. Healthcare data industry has borne the brunt of the highest number of data breach episodes in the last few years. The key reason for this is attributed to the sensitivity of healthcare data and the high costs entailed in trading the data over the dark web. Hence, usable-security evaluation of healthcare information systems is the need of hour so as to identify the vulnerabilities and provide preventive measures as a shield against the breaches. Usable-security assessment will help the software designers and developers to prioritize… More >

  • Open Access

    ARTICLE

    Evaluation and Forecasting of Wind Energy Investment Risk along the Belt and Road Based on a Novel Hybrid Intelligent Model

    Liping Yan1,*, Wei-Chiang Hong2

    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.3, pp. 1069-1102, 2021, DOI:10.32604/cmes.2021.016499

    Abstract The timely and effective investment risk assessment and forecasting are of great significance to ensure the investment safety and sustainable development of wind energy along the Belt and Road. In order to obtain the scientific and real-time forecasting result, this paper constructs a novel hybrid intelligent model based on improved cloud model combined with GRA-TOPSIS and MBA-WLSSVM. Firstly, the factors influencing investment risk of wind energy along the Belt and Road are identified from three dimensions: endogenous risk, exogenous risk and process risk. Through the fuzzy threshold method, the final input index system is selected.… More >

  • Open Access

    ARTICLE

    Path Planning of Quadrotors in a Dynamic Environment Using a Multicriteria Multi-Verse Optimizer

    Raja Jarray1, Mujahed Al-Dhaifallah2,*, Hegazy Rezk3,4, Soufiene Bouallègue1,5

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2159-2180, 2021, DOI:10.32604/cmc.2021.018752

    Abstract Paths planning of Unmanned Aerial Vehicles (UAVs) in a dynamic environment is considered a challenging task in autonomous flight control design. In this work, an efficient method based on a Multi-Objective Multi-Verse Optimization (MOMVO) algorithm is proposed and successfully applied to solve the path planning problem of quadrotors with moving obstacles. Such a path planning task is formulated as a multicriteria optimization problem under operational constraints. The proposed MOMVO-based planning approach aims to lead the drone to traverse the shortest path from the starting point and the target without collision with moving obstacles. The vehicle… More >

  • Open Access

    ARTICLE

    Impact Assessment of COVID-19 Pandemic Through Machine Learning Models

    Fawaz Jaber Alsolami1, Abdullah Saad Al-Malaise ALGhamdi2, Asif Irshad Khan1,*, Yoosef B. Abushark1, Abdulmohsen Almalawi1, Farrukh Saleem2, Alka Agrawal3, Rajeev Kumar3,4, Raees Ahmad Khan3

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 2895-2912, 2021, DOI:10.32604/cmc.2021.017469

    Abstract Ever since its outbreak in the Wuhan city of China, COVID-19 pandemic has engulfed more than 211 countries in the world, leaving a trail of unprecedented fatalities. Even more debilitating than the infection itself, were the restrictions like lockdowns and quarantine measures taken to contain the spread of Coronavirus. Such enforced alienation affected both the mental and social condition of people significantly. Social interactions and congregations are not only integral part of work life but also form the basis of human evolvement. However, COVID-19 brought all such communication to a grinding halt. Digital interactions have… More >

  • Open Access

    ARTICLE

    Computational Technique for Effectiveness of Treatments Used in Curing SARS-CoV-2

    Wael Alosaimi1, Rajeev Kumar2,*, Abdullah Alharbi1, Hashem Alyami3, Alka Agrawal4, Gaurav Kaithwas5, Sanjay Singh6, Raees Ahmad Khan4

    Intelligent Automation & Soft Computing, Vol.28, No.3, pp. 617-628, 2021, DOI:10.32604/iasc.2021.016703

    Abstract COVID-19 pandemic has unleashed an unprecedented humanitarian crisis in the world at present. With each passing day, the number of patients afflicted with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is rising at an alarming pace, so much so that some countries are now combating the second wave of the contagion. As the death ratio due to the Virus increases, the medical fraternity and pharmacologists are working relentlessly to identify and prescribe a standardized and effective course of treatment for treating COVID-19 patients. However, medical specialists are confused about opting for the most efficacious course… More >

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