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  • Open Access

    ARTICLE

    A Hybrid Grey DEMATEL and PLS-SEM Model to Investigate COVID-19 Vaccination Intention

    Phi-Hung Nguyen1,2,*

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5059-5078, 2022, DOI:10.32604/cmc.2022.027630

    Abstract The main objective of this study is to comprehensively investigate individuals’ vaccination intention against COVID-19 during the second wave of COVID-19 spread in Vietnam using a novel hybrid approach. First, the Decision-Making Trial and Evaluation Laboratory based on Grey Theory (DEMATEL-G) was employed to explore the critical factors of vaccination intention among individuals. Second, Partial Least Squares-Structural Equation Modeling (PLS-SEM) was applied to test the hypotheses of individual behavioral intention to get the vaccine to prevent the outbreak of COVID-19. A panel of 661 valid respondents was collected from June 2021 to July 2021, and confidentiality was maintained for all… More >

  • Open Access

    ARTICLE

    Novel Time Series Bagging Based Hybrid Models for Predicting Historical Water Levels in the Mekong Delta Region, Vietnam

    Nguyen Thanh Hoan1, Nguyen Van Dung1, Ho Le Thu1, Hoa Thuy Quynh1, Nadhir Al-Ansari2,*, Tran Van Phong3, Phan Trong Trinh3, Dam Duc Nguyen4, Hiep Van Le4, Hanh Bich Thi Nguyen4, Mahdis Amiri5, Indra Prakash6, Binh Thai Pham4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.3, pp. 1431-1449, 2022, DOI:10.32604/cmes.2022.018699

    Abstract Water level predictions in the river, lake and delta play an important role in flood management. Every year Mekong River delta of Vietnam is experiencing flood due to heavy monsoon rains and high tides. Land subsidence may also aggravate flooding problems in this area. Therefore, accurate predictions of water levels in this region are very important to forewarn the people and authorities for taking timely adequate remedial measures to prevent losses of life and property. There are so many methods available to predict the water levels based on historical data but nowadays Machine Learning (ML) methods are considered the best… More >

  • Open Access

    ARTICLE

    Two-Stage PLS-SEM and Fuzzy AHP Approach to Investigate Vietnamese SMEs’ Export Competitiveness

    Phi-Hung Nguyen1,2,*

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 4107-4123, 2022, DOI:10.32604/cmc.2022.026286

    Abstract Vietnam is paying great to the seafood exporting sector, offering various significant production advantages, concluding that it is critical to understand the competitiveness of the target market and implement effective strategies. However, due to COVID 19, the value of Vietnamese pangasius exports resulted in low and unpredictable profits for pangasius farmers. It is obvious to recognize competitiveness as Multi-Criteria Decision Making (MCDM) problem in the uncertain business environment. Therefore, this study is the first to propose a two-staged Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Fuzzy Analytic Hierarchy Process (FAHP) analysis to identify potential criteria and comprehensively investigate the competitiveness… More >

  • Open Access

    ARTICLE

    Supplier Selection Fuzzy Model in Supply Chain Management: Vietnamese Cafe Industry Case

    Chia-Nan Wang1, Hoang Tuyet Nhi Thai1,*, Nguyen Van Thanh2

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2291-2304, 2022, DOI:10.32604/cmc.2022.025477

    Abstract Supplier selection is a vital part of the supply chain and is also a current issue that concerns businesses today as supplier quality directly affects the operations of the organization. Choosing the right supplier can help businesses increase productivity, competitiveness in the market, and profits without having to lower the quality of the products. However, choosing a supplier is not a simple matter, it requires businesses to consider many aspects about their suppliers. Therefore, the goal of this study is to propose an integrated model consisting of two models: Fuzzy Analytics Network Process (Fuzzy-ANP) model and Weighted Aggregated Sum Product… More >

  • Open Access

    ARTICLE

    Mental Health Literacy of University Students in Vietnam and Cambodia

    Anja Dessauvagie1, Hoang-Minh Dang2, Tuyet Truong3, Thu Nguyen4, Bich Hong Nguyen5, Huong Cao6, Socheata Kim7, Gunter Groen1,*

    International Journal of Mental Health Promotion, Vol.24, No.3, pp. 439-456, 2022, DOI:10.32604/ijmhp.2022.018030

    Abstract Mental health literacy (MHL) refers to knowledge and attitudes that shape the recognition, management, and prevention of mental disorders. While the topic has been exhaustively researched in Western countries, research from Southeast Asia still is limited. Previous studies in this field showed a moderate recognition of mental disorders, a high prevalence of stigmatizing attitudes and a low willingness to seek professional help among Southeastern-Asian populations. This study explored the level of MHL among university students from different parts of Vietnam and Cambodia. Correlations with influencing factors (gender, age, study year, educational attainment of the parents, urban/rural origin, ethnicity, personal experiences… More >

  • Open Access

    ARTICLE

    Spherical Fuzzy WASPAS-based Entropy Objective Weighting for International Payment Method Selection

    Phi-Hung Nguyen1,2,*, Thanh-Tuan Dang3, Kim-Anh Nguyen1, Hong-Anh Pham1

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 2055-2075, 2022, DOI:10.32604/cmc.2022.025532

    Abstract In international trade, exporters prefer to receive payments as quickly as possible, and importers want to make payments as late as possible. In this respect, the payment field, an essential condition for trade transactions, also represents the positions of exporters and importers conflict. In addition, there are many cases in which various variables must be considered rather than only one specific variable representatively affecting payment, particularly in the case of import-export Small and Medium-Sized Enterprises (SMEs) from emerging countries. A selection of proper payment methods can be categorized as a Multi-Criteria Decision-Making (MCDM) issue. Therefore, this study aims to propose… More >

  • Open Access

    ARTICLE

    Two-Stage Fuzzy MCDM for Green Supplier Selection in Steel Industry

    Chia-Nan Wang, Thi-Ly Nguyen*, Thanh-Tuan Dang

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 1245-1260, 2022, DOI:10.32604/iasc.2022.024548

    Abstract Steel is one of the most powerful industries globally, and the associated products have a tremendous impact on nurturing a sustainable society. Considering environmental concerns within this industry's supply chain is highly successful in saving both energy and natural resources and lowering greenhouse gas emissions. In light of this, sustainable suppliers are considered input partners who play a specific role in the chain of business operations of every enterprise, maintaining them to achieve higher levels of customer satisfaction and thus gain more market share. Supplier selection can be characterized as a multi-criteria decision-making (MCDM) problem under a vague and uncertain… More >

  • Open Access

    ARTICLE

    Hybridization of Differential Evolution and Adaptive-Network-Based Fuzzy Inference System in Estimation of Compression Coefficient of Plastic Clay Soil

    Manh Duc Nguyen1, Ha Nguyen Hai1, Nadhir Al-Ansari2,*, Mahdis Amiri3, Hai-Bang Ly4, Indra Prakash5, Binh Thai Pham4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 149-166, 2022, DOI:10.32604/cmes.2022.017355

    Abstract One of the important geotechnical parameters required for designing of the civil engineering structure is the compressibility of the soil. In this study, the main purpose is to develop a novel hybrid Machine Learning (ML) model (ANFIS-DE), which used Differential Evolution (DE) algorithm to optimize the predictive capability of Adaptive-Network-based Fuzzy Inference System (ANFIS), for estimating soil Compression coefficient (Cc) from other geotechnical parameters namely Water Content, Void Ratio, Specific Gravity, Liquid Limit, Plastic Limit, Clay content and Depth of Soil Samples. Validation of the predictive capability of the novel model was carried out using statistical indices: Root Mean Square… More >

  • Open Access

    ARTICLE

    An improved CRNN for Vietnamese Identity Card Information Recognition

    Trinh Tan Dat1, Le Tran Anh Dang1,2, Nguyen Nhat Truong1,2, Pham Cung Le Thien Vu1, Vu Ngoc Thanh Sang1, Pham Thi Vuong1, Pham The Bao1,*

    Computer Systems Science and Engineering, Vol.40, No.2, pp. 539-555, 2022, DOI:10.32604/csse.2022.019064

    Abstract This paper proposes an enhancement of an automatic text recognition system for extracting information from the front side of the Vietnamese citizen identity (CID) card. First, we apply Mask-RCNN to segment and align the CID card from the background. Next, we present two approaches to detect the CID card’s text lines using traditional image processing techniques compared to the EAST detector. Finally, we introduce a new end-to-end Convolutional Recurrent Neural Network (CRNN) model based on a combination of Connectionist Temporal Classification (CTC) and attention mechanism for Vietnamese text recognition by jointly train the CTC and attention objective functions together. The… More >

  • Open Access

    ARTICLE

    Detecting Lumbar Implant and Diagnosing Scoliosis from Vietnamese X-Ray Imaging Using the Pre-Trained API Models and Transfer Learning

    Chung Le Van1, Vikram Puri1, Nguyen Thanh Thao2, Dac-Nhuong Le3,4,*

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 17-33, 2021, DOI:10.32604/cmc.2020.013125

    Abstract With the rapid growth of the autonomous system, deep learning has become integral parts to enumerate applications especially in the case of healthcare systems. Human body vertebrae are the longest and complex parts of the human body. There are numerous kinds of conditions such as scoliosis, vertebra degeneration, and vertebrate disc spacing that are related to the human body vertebrae or spine or backbone. Early detection of these problems is very important otherwise patients will suffer from a disease for a lifetime. In this proposed system, we developed an autonomous system that detects lumbar implants and diagnoses scoliosis from the… More >

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