Dedy Dwi Prastyo

Orcid: 0000-0003-1194-769X

According to our database1, Dedy Dwi Prastyo authored at least 21 papers between 2017 and 2023.

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

Timeline

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Bibliography

2023
Clustering Stock Prices of Industrial and Consumer Sector Companies in Indonesia Using Fuzzy C-Means and Fuzzy C-Medoids Involving ACF and PACF.
Proceedings of the Soft Computing in Data Science - 7th International Conference, 2023

Modeling Earthquake Catalog in Sumatra by Space-Time Epidemic-Type Aftershock Sequences Model: Combining Davidon-Fletcher-Powell and Stochastic Declustering Algorithms.
Proceedings of the Data Science and Emerging Technologies, 2023

The Impact of Clustering-Based Sequential Multivariate Outliers Detection in Handling Missing Values.
Proceedings of the Data Science and Emerging Technologies, 2023

2022
Mutual Information-Based Variable Selection on Latent Class Cluster Analysis.
Symmetry, 2022

Robustness of Support Vector Regression and Random Forest Models: A Simulation Study.
Proceedings of the Data Science and Emerging Technologies, 2022

2021
The effectiveness of Max-half-Mchart over Max-Mchart in simultaneously monitoring process mean and variability of individual observations.
Qual. Reliab. Eng. Int., 2021

Mixed Spline Smoothing and Kernel Estimator in Biresponse Nonparametric Regression.
Int. J. Math. Math. Sci., 2021

Outlier detection using PCA mix based T2 control chart for continuous and categorical data.
Commun. Stat. Simul. Comput., 2021

PCA-based Hotelling's <i>T</i><sup>2</sup> chart with fast minimum covariance determinant (FMCD) estimator and kernel density estimation (KDE) for network intrusion detection.
Comput. Ind. Eng., 2021

Max-Half-Mchart: A Simultaneous Control Chart Using a Half-Normal Distribution for Subgroup Observations.
IEEE Access, 2021

Hybrid of Time Series Regression, Multivariate Generalized Space-Time Autoregressive, and Machine Learning for Forecasting Air Pollution.
Proceedings of the Soft Computing in Data Science - 6th International Conference, 2021

A Modified Inverse Gaussian Poisson Regression with an Exposure Variable to Model Infant Mortality.
Proceedings of the Soft Computing in Data Science - 6th International Conference, 2021

2020
Multivariate Gamma Regression: Parameter Estimation, Hypothesis Testing, and Its Application.
Symmetry, 2020

Parameter Estimation and Hypothesis Testing of Multivariate Poisson Inverse Gaussian Regression.
Symmetry, 2020

Robust adaptive multivariate Hotelling's <i>T</i><sup>2</sup> control chart based on kernel density estimation for intrusion detection system.
Expert Syst. Appl., 2020

2019
New Hybrid Statistical Method and Machine Learning for PM10 Prediction.
Proceedings of the Soft Computing in Data Science - 5th International Conference, 2019

2018
VAR and GSTAR-Based Feature Selection in Support Vector Regression for Multivariate Spatio-Temporal Forecasting.
Proceedings of the Soft Computing in Data Science - 4th International Conference, 2018

Simulation Study of Feature Selection on Survival Least Square Support Vector Machines with Application to Health Data.
Proceedings of the Soft Computing in Data Science - 4th International Conference, 2018

Roll motion prediction using a hybrid deep learning and ARIMA model.
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

Design of Experiment to Optimize the Architecture of Deep Learning for Nonlinear Time Series Forecasting.
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

2017
Model Selection in Feedforward Neural Networks for Forecasting Inflow and Outflow in Indonesia.
Proceedings of the Soft Computing in Data Science - Third International Conference, 2017


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