Search Results - "Tran, Kim Phuc"

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  1. 1

    Run Rules median control charts for monitoring process mean in manufacturing by Tran, Kim Phuc

    “…Recent studies show that Shewhart median ( X˜) chart is simpler than the Shewhart X¯ chart and it is robust against outliers, but it is often rather…”
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  2. 2

    On the Performance of Shewhart median Chart in the Presence of Measurement Errors by Tran, Kim Phuc, Castagliola, Philippe, Balakrishnan, Narayanaswamy

    “…In the literature, median control charts have been introduced under the assumption of no measurement error. However, measurement errors always exist in…”
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  3. 3

    On the performance of coefficient of variation charts in the presence of measurement errors by Tran, Kim Phuc, Heuchenne, Cédric, Balakrishnan, Narayanaswamy

    “…In the literature, coefficient of variation control charts have been introduced under the assumption of no measurement errors. However, measurement errors…”
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  4. 4

    LocKedge: Low-Complexity Cyberattack Detection in IoT Edge Computing by Huong, Truong Thu, Bac, Ta Phuong, Long, Dao M., Thang, Bui D., Binh, Nguyen T., Luong, Tran D., Phuc, Tran Kim

    Published in IEEE access (2021)
    “…Internet of Things (IoT) and its applications are becoming commonplace with more devices, but always at risk of network security. It is therefore crucial for…”
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  5. 5

    Monitoring the Ratio of Two Normal Variables Using EWMA Type Control Charts by Tran, Kim Phuc, Castagliola, Philippe, Celano, Giovanni

    “…In many fields, there is the need to monitor quality characteristics defined as the ratio of two random variables. The design and implementation of control…”
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  6. 6

    On the performance of VSI Shewhart control chart for monitoring the coefficient of variation in the presence of measurement errors by Nguyen, Huu Du, Nguyen, Quoc Thong, Tran, Kim Phuc, Ho, Dang Phuc

    “…In this paper, we propose a variable sampling interval Shewhart control chart to monitor the coefficient of variation (CV) squared, denoted by VSI SH- γ 2 …”
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  7. 7

    Monitoring the ratio of two normal variables using variable sampling interval exponentially weighted moving average control charts by Nguyen, Huu Du, Tran, Kim Phuc, Heuchenne, Cédric

    “…We investigate in this paper a new type of control chart called VSI EWMA‐RZ by integrating the variable sampling interval feature (VSI) with the exponentially…”
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  8. 8

    Modeling color fading ozonation of reactive-dyed cotton using the Extreme Learning Machine, Support Vector Regression and Random Forest by He, Zhenglei, Tran, Kim-Phuc, Thomassey, Sébastien, Zeng, Xianyi, Xu, Jie, Changhai, Yi

    Published in Textile research journal (01-04-2020)
    “…Textile products with a faded effect achieved via ozonation are increasingly popular nowadays. In order to better understand and apply this process, the…”
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  9. 9

    Steady‐state ARL analysis of ARL‐unbiased EWMA‐RZ control chart monitoring the ratio of two normal variables by Tran, Kim Phuc, Knoth, Sven

    “…Very recently, control charts for monitoring the ratio of 2 normal variables have been investigated in statistical process control. In the two‐sided case,…”
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  10. 10

    An EWMA control chart for the multivariate coefficient of variation by Giner‐Bosch, Vicent, Tran, Kim Phuc, Castagliola, Philippe, Khoo, Michael Boon Chong

    “…Monitoring the multivariate coefficient of variation over time is a natural choice when the focus is on stabilising the relative variability of a multivariate…”
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  11. 11

    Evaluating the sales potential of new products using machine learning techniques and data collected from mobile applications by Sleiman, Rita, Nguyen, Quoc-Thông, Lacaze, Sandra, Tran, Kim-Phuc, Thomassey, Sébastien

    “…PurposeWe propose a machine learning based methodology to deal with data collected from a mobile application asking users their opinion regarding fashion…”
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  12. 12

    CUSUM control charts with variable sampling interval for monitoring the ratio of two normal variables by Nguyen, Huu Du, Tran, Kim Phuc, Heuchenne, Henri L.

    “…In many industrial manufacturing processes, the ratio between two normal random variables plays a key role in ensuring quality of products. Thus,  monitoring…”
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  13. 13

    One-sided synthetic control charts for monitoring the multivariate coefficient of variation by Nguyen, Quoc Thong, Tran, Kim Phuc, Castagliola, Philippe, Celano, Giovanni, Lardjane, Salim

    “…Shewhart's type control charts for monitoring the Multivariate Coefficient of Variation (MCV) have recently been proposed in order to monitor the relative…”
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  14. 14

    Forecasting Sales Profiles of Products in an Exceptional Context: COVID-19 Pandemic by Sleiman, Rita, Mazyad, Ahmad, Hamad, Moez, Tran, Kim-Phuc, Thomassey, Sébastien

    “…Accurate demand forecasting has always been essential for retailers in order to be able to survive in the highly competitive, volatile modern market. However,…”
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  15. 15

    On the performance of CUSUM control charts for monitoring the coefficient of variation with measurement errors by Tran, Kim Phuc, Nguyen, Huu Du, Tran, Phuong Hanh, Heuchenne, Cédric

    “…In this paper, we investigate the effect of the measurement error on the performance of the cumulative sum (CUSUM) control charts monitoring the coefficient of…”
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  16. 16

    One-sided Shewhart control charts for monitoring the ratio of two normal variables in short production runs by Tran, Kim Duc, Khaliq, Qurat-Ul-Ain, Nadi, Adel Ahmadi, Nguyen, Thi Hien, Tran, Kim Phuc

    Published in Journal of manufacturing processes (01-09-2021)
    “…Monitoring the ratio of two normal random variables plays an important role in several manufacturing environments. In addition, the traditional control charts…”
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  17. 17

    Design of a variable sampling interval exponentially weighted moving average median control chart in presence of measurement errors by Duc Tran, Kim, Du Nguyen, Huu, Hien Nguyen, Thi, Phuc Tran, Kim

    “…In the literature, many control charts monitoring the median is designed under a perfect condition that there is no measurement error. This may make the…”
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  18. 18

    Monitoring compositional data using multivariate exponentially weighted moving average scheme by Tran, Kim Phuc, Castagliola, Philippe, Celano, Giovanni, Khoo, Michael B. C.

    “…Recently, the monitoring of compositional data by means of control charts has been investigated in the statistical process control literature. In this article,…”
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  19. 19

    Designing ECG monitoring healthcare system with federated transfer learning and explainable AI by Raza, Ali, Tran, Kim Phuc, Koehl, Ludovic, Li, Shujun

    Published in Knowledge-based systems (25-01-2022)
    “…Deep learning plays a vital role in classifying different arrhythmias using electrocardiography (ECG) data. Nevertheless, training deep learning models…”
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  20. 20

    Artificial Intelligence for Smart Manufacturing: Methods and Applications by Tran, Kim Phuc

    Published in Sensors (Basel, Switzerland) (19-08-2021)
    “…The term Industry 4.0 has become increasingly pervasive in the context of industrial manufacturing and it has been considered the fourth industrial revolution…”
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