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  • Open Access


    Équité environnementale et accessibilité aux parcs à Ho Chi Minh Ville (Vietnam)

    Anh Tu Hoang1 , Philippe Apparicio1, Thi-Thanh-Hien Pham2

    Revue Internationale de Géomatique, Vol.29, No.2, pp. 135-158, 2019, DOI:10.3166/rig.2019.00071

    Abstract The objective of this article is to assess environmental equity regarding the accessibility of parks for four population groups (children, older people, low-education individuals, and highly-educated persons) in Ho Chi Minh City (HCMC). To achieve this, two accessibility measures calculated according to network distance in GIS: the distance to the nearest park (immediate proximity) and the enhanced two-step floating catchment area method (availability based on supply and demand). Several regression models were then constructed, with the accessibility measures as dependent variables and the percentages of the four groups as independent variables. The results show that the accessibility of parks in… More >

  • Open Access


    Detecting Tuberculosis from Vietnamese X-Ray Imaging Using Transfer Learning Approach

    Ha Manh Toan1, Lam Thanh Hien2, Ngo Duc Vinh3, Do Nang Toan1,*

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5001-5016, 2023, DOI:10.32604/cmc.2023.033429

    Abstract Deep learning created a sharp rise in the development of autonomous image recognition systems, especially in the case of the medical field. Among lung problems, tuberculosis, caused by a bacterium called Mycobacterium tuberculosis, is a dangerous disease because of its infection and damage. When an infected person coughs or sneezes, tiny droplets can bring pathogens to others through inhaling. Tuberculosis mainly damages the lungs, but it also affects any part of the body. Moreover, during the period of the COVID-19 (coronavirus disease 2019) pandemic, the access to tuberculosis diagnosis and treatment has become more difficult, so early and simple detection… More >

  • Open Access


    Prediction of Flash Flood Susceptibility of Hilly Terrain Using Deep Neural Network: A Case Study of Vietnam

    Huong Thi Thanh Ngo1, Nguyen Duc Dam1, Quynh-Anh Thi Bui1, Nadhir Al-Ansari2,*, Romulus Costache3,4,*, Hang Ha5, Quynh Duy Bui5, Sy Hung Mai6, Indra Prakash7, Binh Thai Pham1

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2219-2241, 2023, DOI:10.32604/cmes.2023.022566

    Abstract Flash floods are one of the most dangerous natural disasters, especially in hilly terrain, causing loss of life, property, and infrastructures and sudden disruption of traffic. These types of floods are mostly associated with landslides and erosion of roads within a short time. Most of Vietnam is hilly and mountainous; thus, the problem due to flash flood is severe and requires systematic studies to correctly identify flood susceptible areas for proper landuse planning and traffic management. In this study, three Machine Learning (ML) methods namely Deep Learning Neural Network (DL), Correlation-based Feature Weighted Naive Bayes (CFWNB), and Adaboost (AB-CFWNB) were… More >

  • Open Access


    A Grey Simulation-Based Fuzzy Hierarchical Approach for Diagnosing Healthcare Service Quality

    Phi-Hung Nguyen*, Hong-Anh Pham

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3231-3248, 2023, DOI:10.32604/cmc.2023.031428

    Abstract This study aims to assess and rank the service quality of the healthcare system utilizing a Fuzzy Analytical Hierarchical Process (Fuzzy AHP) and Grey Relational Analysis (Fuzzy GRA) technique. In this study, the six primary characteristics of healthcare service quality, comprising Tangibles (A), Healthcare Staff (B), Responsiveness (C), Relationships (D), Support Service (E), and Accessibility (F), are examined through a case study of 20 private and public hospitals in Hanoi, Vietnam. The weighting results of Fuzzy AHP technique indicated that Responsiveness (C) has the highest ranking, followed by Relationships (D) and Healthcare Staff (B). Meanwhile, Tangibility has finally comprised the… More >

  • Open Access


    Characterization and Pathogenicity of Pseudopestalotiopsis vietnamensis Causing Gray Blight of Wuyi Rock Tea (Camellia sinensis) in China and Specific Mechanisms of Disease Infection

    Guangheng Wu1,#,*, Lu Rui2,3,#, Xiang Lu4, Libo Han2, Gan Lv1, Xianyu Fu5, Jinxian Liu5, Nong Zhou3, Chuanhai Zhang1

    Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 131-147, 2023, DOI:10.32604/phyton.2022.021919

    Abstract Gray blight disease (GBD) causes significant losses in tea production in China. Although genes and biological processes involved in resistance to fungal disease in tea plants have been identified, specific mechanisms of the GBD infection process remain unknown. In this study, morphological and multi-gene (TEF-TUB-ITS) phylogenetic characteristics were used to identify isolate CLBB1 of Pseudopestalotiopsis vietnamensis. Pathogenicity tests confirmed that isolate CLBB1 from tea leaves caused GBD in the susceptible tea cultivar Wuyi Rock (Camellia sinensis var. sinensis cv. Shuixian). Spores began to germinate 24 h after infection (hai), and after 48 h, elongated fungal hyphae formed from a single conidium. Transcriptome… More >

  • Open Access


    Performance Evaluation of Food and Beverage Listed Companies in Vietnam

    Jung-Fa Tsai1, Ngoc Huyen Nguyen1, Ming-Hua Lin2,*

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3575-3593, 2022, DOI:10.32604/cmc.2022.030476

    Abstract During the last decade, the food and beverage industry has been one of the most significant and prioritized industries that contributed to the economic growth in Vietnam. Therefore, how to enhance the performance of food and beverage firms has become a critical factor for Vietnam’s economic development. This research aims to use the data envelopment analysis (DEA) and the Malmquist productivity index (MPI) to assess changes in operational performance and productivity of listed lead food and beverage firms in Vietnam during the period between 2015 and 2020. The obtained results reveal that Vietnamese food and beverage firms were generally inefficient… More >

  • Open Access


    Agricultural Supply Chain Risks Evaluation with Spherical Fuzzy Analytic Hierarchy Process

    Phi-Hung Nguyen*

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 4211-4229, 2022, DOI:10.32604/cmc.2022.030115

    Abstract The outbreak of the COVID-19 pandemic has impacted the development of the global economy. As most developing and third world countries are heavily dependent on agriculture and agricultural imports, the agricultural supply chains (ASC) in all these countries are exposed to unprecedented risks following COVID-19. Therefore, it is vital to investigate the impact of risks and create resilient ASC organizations. In this study, critical risks associated with ASC were assessed using a novel Analytical Hierarchy Process based on spherical fuzzy sets (SF-AHP). The findings indicated that depending on the scope and scale of the organization, supply risks, demand risks, financial… More >

  • Open Access


    Emotional Vietnamese Speech Synthesis Using Style-Transfer Learning

    Thanh X. Le, An T. Le, Quang H. Nguyen*

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1263-1278, 2023, DOI:10.32604/csse.2023.026234

    Abstract In recent years, speech synthesis systems have allowed for the production of very high-quality voices. Therefore, research in this domain is now turning to the problem of integrating emotions into speech. However, the method of constructing a speech synthesizer for each emotion has some limitations. First, this method often requires an emotional-speech data set with many sentences. Such data sets are very time-intensive and labor-intensive to complete. Second, training each of these models requires computers with large computational capabilities and a lot of effort and time for model tuning. In addition, each model for each emotion failed to take advantage… More >

  • Open Access


    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


    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 >

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