| Ensemble Model For The Degradation Prediction Of Proton Exchange Membrane Fuel Cell Stacks | 0 | 0.34 | 2021 |
| Gradient boosted regression model for the degradation analysis of prismatic cells | 0 | 0.34 | 2020 |
| Exponentially weighted moving average chart with a likelihood ratio test for monitoring autocorrelated processes | 0 | 0.34 | 2020 |
| Hybrid approach for remaining useful life prediction of ball bearings. | 0 | 0.34 | 2019 |
| Comparison of different control charts for a Weibull process with type-I censoring | 2 | 0.51 | 2019 |
| A double exponentially weighted moving average chart based on likelihood ratio for monitoring an inflated Pareto process | 0 | 0.34 | 2019 |
| One-sided control chart based on support vector machines with differential evolution algorithm | 0 | 0.34 | 2019 |
| Acceptance sampling plans based on EWMA yield index for the first order autoregressive process | 0 | 0.34 | 2019 |
| A multiple dependent state repetitive sampling plan for linear profiles. | 1 | 0.36 | 2018 |
| EWMA chart based on Bayes-conditional pivotal quantity for Weibull percentiles under complete data and type-II censoring. | 0 | 0.34 | 2018 |
| New control charts for monitoring the Weibull percentiles under complete data and Type-II censoring. | 1 | 0.35 | 2018 |
| VSSI median control chart with estimated parameters and measurement errors. | 1 | 0.36 | 2018 |
| Sampling plans for the zero-inflated negative binomial distribution in the food industry. | 0 | 0.34 | 2018 |
| EWMA chart with variable sample size and sampling interval for monitoring Pareto data with estimated parameters. | 0 | 0.34 | 2018 |
| The performance of EWMA median and CUSUM median control charts for a normal process with measurement errors. | 1 | 0.38 | 2018 |
| Implementing EWMA Yield Index for Simple Linear Profiles with One-sided Specifications in Product Acceptance Determination. | 1 | 0.36 | 2017 |
| MaxEWMA Control Chart for a Weibull Process with Individual Measurements. | 3 | 0.43 | 2017 |
| Dependent Mixed and Mixed Repetitive Sampling Plans for Linear Profiles. | 1 | 0.36 | 2017 |
| An exponentially weighted moving average chart based on likelihood-ratio test for monitoring Weibull mean and variance with subgroups. | 0 | 0.34 | 2017 |
| Exponentially weighted moving average control charts based on the moving average statistic and lnS2 for monitoring a Weibull process with subgroups. | 0 | 0.34 | 2017 |
| A comparison study of control charts for Weibull distributed time between events. | 3 | 0.42 | 2017 |
| Process Yield Analysis for Nonlinear Profiles in the Presence of Gauge Measurement Errors | 0 | 0.34 | 2016 |
| Implementing the Ratio Test Statistic to Compare Two Suppliers for Linear Profiles. | 0 | 0.34 | 2016 |
| Using the design for Six Sigma approach with TRIZ for new product development. | 4 | 0.72 | 2016 |
| Process Yield for Multivariate Linear Profiles with One‐sided Specification Limits | 1 | 0.34 | 2016 |
| Variables Sampling Plan for Resubmitted Lots in a Process with Linear Profiles. | 3 | 0.48 | 2016 |
| Multiple Comparisons with the Best for Process Selection for Linear Profiles with One-sided Specifications. | 0 | 0.34 | 2016 |
| Sampling Plan based on the Exponentially Weighted Moving Average Yield Index for Autocorrelation within Linear Profiles | 2 | 0.37 | 2016 |
| Two New Independent Mixed Sampling Plans for Inspecting a Product with Linear Profiles. | 0 | 0.34 | 2016 |
| The Difference Test Statistic for Two Suppliers with Linear Profiles. | 7 | 0.86 | 2016 |
| A Single Sampling Plan Based on Exponentially Weighted Moving Average Model for Linear Profiles | 0 | 0.34 | 2016 |
| Process Yield for Multiple Stream Processes with Individual Observations and Subsamples. | 1 | 0.42 | 2016 |
| Single Mixed Sampling Plan Based on Yield Index for Linear Profiles | 1 | 0.44 | 2016 |
| Process Selection for Linear Profiles with One-sided Specifications Based on the Ratio Test Statistic. | 0 | 0.34 | 2015 |
| A New Model for Repairable Systems with Nonmonotone Intensity Function. | 2 | 0.41 | 2015 |
| Measuring the Process Yield for Circular Profiles | 3 | 0.44 | 2015 |
| Process Yield Analysis for Linear Within‐Profile Autocorrelation | 3 | 0.41 | 2015 |
| Using BBPSO Algorithm to Estimate the Weibull Parameters with Censored Data. | 0 | 0.34 | 2014 |
| Useful lifetime analysis for high-power white LEDs. | 9 | 0.70 | 2014 |
| Implementing support vector regression with differential evolution to forecast motherboard shipments | 4 | 0.41 | 2014 |
| A New Decision Model for Reducing Trim Loss and Inventory in the Paper Industry. | 0 | 0.34 | 2014 |
| Process yield analysis for autocorrelation between linear profiles. | 5 | 0.44 | 2014 |
| Implementing a diffusion model optimized by a hybrid evolutionary algorithm to forecast notebook shipments | 3 | 0.47 | 2013 |
| Estimating the Burr XII Parameters in Constant-Stress Partially Accelerated Life Tests Under Multiple Censored Data. | 2 | 0.43 | 2012 |
| Lifetime predictions of LED-based light bars by accelerated degradation test. | 11 | 0.79 | 2012 |
| Partially Accelerated Life Tests for the Weibull Distribution Under Multiply Censored Data. | 1 | 0.38 | 2012 |
| Using adaptive network-based fuzzy inference system to forecast automobile sales | 6 | 0.61 | 2011 |
| The mean time between failures for an LCD panel | 0 | 0.34 | 2011 |
| M-estimator with asymmetric influence function for estimating the Burr type III parameters with outliers. | 0 | 0.34 | 2011 |
| Process-oriented basis representation for a multivariate gauge study | 1 | 0.37 | 2010 |
