Xin Ying Chew

Orcid: 0000-0001-5539-1959

According to our database1, Xin Ying Chew authored at least 16 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
How Positive and Negative Electronic Word of Mouth (eWOM) Affects Customers' Intention to Use Social Commerce? A Dual-Stage Multi Group-SEM and ANN Analysis.
Int. J. Hum. Comput. Interact., February, 2024

2023
Economic-statistical design of the variable sampling interval Poisson EWMA chart.
Commun. Stat. Simul. Comput., May, 2023

Correction to "Quantized Deep Residual Convolutional Neural Network for Image-Based Dietary Assessment".
IEEE Access, 2023

ps-CALR: Periodic-Shift Cosine Annealing Learning Rate for Deep Neural Networks.
IEEE Access, 2023

2022
Modelling and Evaluating Trust in Mobile Commerce: A Hybrid Three Stage Fuzzy Delphi, Structural Equation Modeling, and Neural Network Approach.
Int. J. Hum. Comput. Interact., 2022

The efficiency of run rules schemes for the multivariate coefficient of variation in short runs process.
Commun. Stat. Simul. Comput., 2022

New Hybrid Data Preprocessing Technique for Highly Imbalanced Dataset.
Comput. Informatics, 2022

Design of the Shewhart Median Scheme with the Percentile-Based Approach.
Proceedings of the ICSCA 2022: 11th International Conference on Software and Computer Applications, Melaka, Malaysia, February 24, 2022

2021
Economic and economic-statistical designs of the side sensitive group runs chart with auxiliary information.
Qual. Reliab. Eng. Int., 2021

2020
Quantized Deep Residual Convolutional Neural Network for Image-Based Dietary Assessment.
IEEE Access, 2020

Effect of Measurement Errors on the Performance of Coefficient of Variation Chart With Short Production Runs.
IEEE Access, 2020

2019
A proposed variable parameter control chart for monitoring the multivariate coefficient of variation.
Qual. Reliab. Eng. Int., 2019

Optimal Design of Modified Group Runs Scheme with Estimated Process Parameters Based on Expected Average Number of Observations to Signal.
Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

2018
Timing-of-Delivery Prediction Model to Visualize Delivery Trends for Pos Laju Malaysia by Machine Learning Techniques.
Proceedings of the Soft Computing in Data Science - 4th International Conference, 2018

2016
The Run Sum Hotelling's <i>χ</i><sup><i>2</i></sup> Control Chart with Variable Sampling Intervals.
Qual. Reliab. Eng. Int., 2016

2015
The variable sampling interval run sum control chart.
Comput. Ind. Eng., 2015


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