|
English
|
正體中文
|
简体中文
|
Total items :2856708
|
|
Visitors :
53583669
Online Users :
651
Project Commissioned by the Ministry of Education
Project Executed by National Taiwan University Library
|
|
|
|
Taiwan Academic Institutional Repository >
Browse by Author
|
"tsai tzong ru"
Showing items 1-10 of 153 (16 Page(s) Totally)
1 2 3 4 5 6 7 8 9 10 > >>
View [10|25|50] records per page
| 淡江大學 |
2026-05 |
Optimization for the Zero-Inflated Binary Classification Model with Regulation Rules Using Evolutionary Algorithms
|
Xin, Hua;Fan, Ya-Yen;Tsai, Tzong-Ru |
| 淡江大學 |
2025-12-26 |
Closed-form solutions for the Weibull distribution parameters and performance lifetime index with interval-censored data
|
Mou, Zhengcheng;Li, Yi;Chiang, Jyun-You;Tsai, Tzong-Ru |
| 淡江大學 |
2025-10-07 |
The Pearson residual-based control charts for monitoring overdispersed count sequences
|
Mou, Zhengcheng;Chiang, Jyun-You;Tsai, Tzong-Ru;Liu, Guojun |
| 淡江大學 |
2025-05-22 |
A hybrid algorithm with a data augmentation method to enhance the performance of the zero-inflated Bernoulli model
|
Su, Chih-Jen;Chen, I-Fei;Tsai, Tzong-Ru;Lio, Yuhlong |
| 淡江大學 |
2025-02-11 |
Support vector machines and model selection for control chart pattern recognition
|
Su, Chih-Jen;Chen, I-Fei;Tsai, Tzong-Ru;Wang, Tzu-Hsuan;Lio, Yuhlong |
| 淡江大學 |
2024-10-24 |
An effective non-restarting control chart based on the joint judgment
|
Tsai, Tzong-ru |
| 淡江大學 |
2024-07-17 |
Predicting pump inspection cycles for oil wells based on stacking ensemble models
|
Tsai, Tzong-ru |
| 淡江大學 |
2024-06-12 |
Bias-Correction Methods for the Unit Exponential Distribution and Applications
|
Fan, Ya-yen;Tsai, Tzong-ru |
| 淡江大學 |
2024-03-17 |
The Reliability Inference for Multicomponent Stress–Strength Model under the Burr X Distribution
|
Tsai, Tzong-ru |
| 淡江大學 |
2023-12-22 |
Binary classification with imbalanced data
|
Chiang, Jyun-You;Lio, Yuhlong;Hsu, Chien-Ya;Ho, Chia-Ling;Tsai, Tzong-Ru |
Showing items 1-10 of 153 (16 Page(s) Totally)
1 2 3 4 5 6 7 8 9 10 > >>
View [10|25|50] records per page
|
