Tzu-Liang (Bill) Tseng
Orcid: 0000-0002-3903-529X
According to our database1,
Tzu-Liang (Bill) Tseng
authored at least 70 papers
between 1998 and 2024.
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Bibliography
2024
A Novel Approach for Defect Detection of Wind Turbine Blade Using Virtual Reality and Deep Learning.
CoRR, 2024
2023
A Simulation-Based Approach for Line Balancing Under Demand Uncertainty in Production Environment.
Proceedings of the Winter Simulation Conference, 2023
2022
Optimal Warranty Policy for Consumer Electronics with Dependent Competing Failure Processes.
Reliab. Eng. Syst. Saf., 2022
Improving lung region segmentation accuracy in chest X-ray images using a two-model deep learning ensemble approach.
J. Vis. Commun. Image Represent., 2022
A deep learning-based approach to extraction of filler morphology in SEM images with the application of automated quality inspection.
Artif. Intell. Eng. Des. Anal. Manuf., 2022
Online Model-based Systems Engineering (MBSE) Bootcamp: A Report on Two Day Workforce Development Workshop.
Proceedings of the IEEE International Systems Conference, 2022
2021
A customized warranty model by considering multi-usage levels for the leasing industry.
Reliab. Eng. Syst. Saf., 2021
Inf. Res., 2021
Decis. Anal., 2021
Comput. Ind. Eng., 2021
Appl. Soft Comput., 2021
A Novel Approach to Behavior Design for Model Based Systems Engineering Application Using Design Structure Matrix.
Proceedings of the IEEE International Systems Conference, 2021
Identifying the Thematic Trends of Model Based Systems Engineering in Manufacturing and Production Engineering Domains.
Proceedings of the IEEE International Systems Conference, 2021
2020
Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty.
IEEE Trans. Neural Networks Learn. Syst., 2020
Adaptive Minimum Confidence Region Rule for Multivariate Initialization Bias Truncation in Discrete-Event Simulations.
Technometrics, 2020
A Heijunka Study for Automotive Assembly Using Discrete-Event Simulation: A Case Study.
Proceedings of the Winter Simulation Conference, 2020
2019
Multiple-Change-Point Modeling and Exact Bayesian Inference of Degradation Signal for Prognostic Improvement.
IEEE Trans Autom. Sci. Eng., 2019
Comput. Stand. Interfaces, 2019
Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks.
Comput. Medical Imaging Graph., 2019
2018
Int. J. Syst. Assur. Eng. Manag., 2018
Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity.
Reliab. Eng. Syst. Saf., 2018
A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms.
Comput. Methods Programs Biomed., 2018
Proceedings of the 2018 Annual IEEE International Systems Conference, 2018
Proceedings of the 2018 Annual IEEE International Systems Conference, 2018
Proceedings of the 2018 Annual IEEE International Systems Conference, 2018
2017
Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data.
Comput. Medical Imaging Graph., 2017
Automatic lung nodule graph cuts segmentation with deep learning false positive reduction.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the 6th International Conference on Data Science, 2017
2016
The rough set based approach to generic routing problems: case of reverse logistics supplier selection.
J. Intell. Manuf., 2016
A novel approach to predict surface roughness in machining operations using fuzzy set theory.
J. Comput. Des. Eng., 2016
Novel Approach to Tourism Analysis with Multiple Outcome Capability Using Rough Set Theory.
Int. J. Comput. Intell. Syst., 2016
Rough set based rule induction in decision making using credible classification and preference from medical application perspective.
Comput. Methods Programs Biomed., 2016
Computerized breast cancer analysis system using three stage semi-supervised learning method.
Comput. Methods Programs Biomed., 2016
Feature extraction using rough set theory in service sector application from incremental perspective.
Comput. Ind. Eng., 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Proceedings of the Breast Imaging, 2016
Proceedings of the Breast Imaging, 2016
2015
J. Comput. Des. Eng., 2015
A new breast cancer risk analysis approach using features extracted from multiple sub-regions on bilateral mammograms.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
Characterization of machining quality attributes based on spindle probe, coordinate measuring machine, and surface roughness data.
J. Comput. Des. Eng., 2014
J. Comput. Des. Eng., 2014
Rough set theory: a novel approach for extraction of robust decision rules based on incremental attributes.
Ann. Oper. Res., 2014
Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Proceedings of the Progress in Systems Engineering, 2014
2013
Corrigendum to "Discovering business intelligence from online product reviews: A rule-induction framework" [Expert Systems with Applications 39 (15) (2012) 11870-11879].
Expert Syst. Appl., 2013
Alternative rule induction methods based on incremental object using rough set theory.
Appl. Soft Comput., 2013
2012
Discovering business intelligence from online product reviews: A rule-induction framework.
Expert Syst. Appl., 2012
The evaluation of intelligent agent performance - An example of B2C e-commerce negotiation.
Comput. Stand. Interfaces, 2012
Concurr. Eng. Res. Appl., 2012
A novel hybrid approach based on wavelet transform and fuzzy ARTMAP network for predicting wind farm power production.
Proceedings of the Annual Meeting of the IEEE Industry Applications Society, 2012
2011
Minimizing total weighted flowtime subject to minimum makespan on two identical parallel machines.
J. Intell. Manuf., 2011
Expert Syst. Appl., 2011
Autonomous rule induction from data with tolerances in customer relationship management.
Expert Syst. Appl., 2011
A rough set based approach to patent development with the consideration of resource allocation.
Expert Syst. Appl., 2011
2010
Extracting Business Intelligence from Online Product Reviews: An Experiment of Automatic Rule-Induction.
Proceedings of the International Conference on Information Systems, 2010
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Minimizing the normalized sum of square for workload deviations on m parallel processors.
Comput. Ind. Eng., 2009
2008
Design support systems: A case study of modular design of the set-top box from design knowledge externalization perspective.
Decis. Support Syst., 2008
Proceedings of the FUZZ-IEEE 2008, 2008
2006
Eur. J. Oper. Res., 2006
2005
IEEE Trans. Syst. Man Cybern. Part A, 2005
Int. J. Knowl. Based Intell. Eng. Syst., 2005
Applying genetic algorithm for the development of the components-based embedded system.
Comput. Stand. Interfaces, 2005
Building Web Directories in Different Languages for Decision Support: A Semi-Automatic Approach.
Proceedings of the A Conference on a Human Scale. 11th Americas Conference on Information Systems, 2005
2004
1998
Comput. Aided Des., 1998