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ORCIDMing-Chuan Chiu
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2020 – today
- 2024
[j22]Ming-Chuan Chiu
, Cheng-Zhou Tsai, Yu-Chen Huang:
Integrating object detection and natural language processing models to build a personalized attraction recommendation agent in a smart product service system. Adv. Eng. Informatics 61: 102484 (2024)- [j21]Ming-Chuan Chiu, Li-Sheng Yang:
Integrating explainable AI and depth cameras to achieve automation in grasping Operations: A case study of shoe company. Adv. Eng. Informatics 62: 102583 (2024) - [j20]Ching-Hung Lee, Fan Li, Ming-Chuan Chiu, Amy J. C. Trappey, Edward Huang, Pisut Koomsap:
Connecting humans and machines: Deep integration of advanced HCI in intelligent engineering. Adv. Eng. Informatics 62: 102824 (2024) - [j19]Ming-Chuan Chiu, Yu-Jui Huang, Chia-Jung Wei:
Enhancing SMEs digital transformation through machine learning: A framework for adaptive quality prediction. J. Ind. Inf. Integr. 41: 100666 (2024) - [j18]Ming-Chuan Chiu, Yu-Hsiang Chiang, Jing-Er Chiu:
Developing an explainable hybrid deep learning model in digital transformation: an empirical study. J. Intell. Manuf. 35(4): 1793-1810 (2024) - 2023
- [j17]Gülsen Akman, Bahadir Yorur, Ali Ihsan Boyaci, Ming-Chuan Chiu:
Assessing innovation capabilities of manufacturing companies by combination of unsupervised and supervised machine learning approaches. Appl. Soft Comput. 147: 110735 (2023) - [c27]Cheng-Zhou Tsai, Hau Huang, Chia-Jung Wei, Ming-Chuan Chiu:
Apply Deep Learning to Build a Personalized Attraction Recommendation System in a Smart Product Service System. TE 2023: 151-160 - [c26]Pei-Yi Tai, Ming-Chuan Chiu, Chia-Jung Wei:
Developing a Green Supplier Risk Assessment System Applying Natural Language Processing and Life Cycle Assessment: An Empirical Study. TE 2023: 383-392 - [c25]Ming-Chuan Chiu, Yu-Jui Huang:
Applying Hybrid Machine Learning Models to Assist Small and Medium Enterprises in Achieving Quality Prediction and Adaptive Digital Transformation: A Case Study of Injection Molding Industry. TE 2023: 423-432 - [c24]Ming-Chuan Chiu, Tsung-Yu Tseng, Chi-Chang Chang, Chun-Chia Chen:
Applying Deep Learning to Establish a Telemedicine Assistance System: A Case Study of the Stage Classification of Pressure Injuries. TE 2023: 433-442 - [c23]Pin-Rui Feng, Sheng-Po Hung, Yi-Husan Chen, Ming-Chuan Chiu, Zhe-Rui Bai:
Developing an Intelligent Warning System to Detect Unsafe Driving Behaviors. TE 2023: 463-472 - [c22]Li-Sheng Yang, Ming-Chuan Chiu:
Integrating Deep Learning Models and Depth Cameras to Achieve Digital Transformation: A Case Study in Shoe Company. TE 2023: 811-820 - 2022
- [j16]Ming-Chuan Chiu, Ho-Yen Tsai, Jing-Er Chiu:
A novel directional object detection method for piled objects using a hybrid region-based convolutional neural network. Adv. Eng. Informatics 51: 101448 (2022) - 2021
- [j15]Ming-Chuan Chiu, Jih-Hung Huang, Saraj Gupta, Gülsen Akman:
Developing a personalized recommendation system in a smart product service system based on unsupervised learning model. Comput. Ind. 128: 103421 (2021) - [j14]Ming-Chuan Chiu, Kai-Hsiang Chuang:
Applying transfer learning to achieve precision marketing in an omni-channel system - a case study of a sharing kitchen platform. Int. J. Prod. Res. 59(24): 7594-7609 (2021) - 2020
- [j13]Ming-Chuan Chiu, Chi-Hsuan Tsai:
Design a personalised product service system utilising a multi-agent system. Adv. Eng. Informatics 43: 101036 (2020) - [j12]D. Daniel Sheu, Ming-Chuan Chiu, Dimitri Cayard:
The 7 pillars of TRIZ philosophies. Comput. Ind. Eng. 146: 106572 (2020) - [j11]Ming-Chuan Chiu, Chien-De Tsai, Tung-Lung Li:
An Integrative Machine Learning Method to Improve Fault Detection and Productivity Performance in a Cyber-Physical System. J. Comput. Inf. Sci. Eng. 20(2) (2020)
2010 – 2019
- 2019
- [j10]Ming-Chuan Chiu, Chih-Yuan Chu, Tsai-Chi Kuo:
Product service system transition method: building firm's core competence of enterprise. Int. J. Prod. Res. 57(20): 6452-6472 (2019) - [c21]Wan-Yun Lu, Ming-Chuan Chiu:
Apply Deep Learning Image Recognition Technique to Promote Green Consumer Behavior. TE 2019: 205-213 - [c20]Chien-De Tsai, Ming-Chuan Chiu:
Apply Machine Learning to Improve Fault Detection and Classification in Cyber Physical System. TE 2019: 519-529 - 2018
- [j9]Ming-Chuan Chiu, Kong-Zhao Lin:
Utilizing text mining and Kansei Engineering to support data-driven design automation at conceptual design stage. Adv. Eng. Informatics 38: 826-839 (2018) - [j8]Ming-Chuan Chiu, Chih-Yuan Chu, Chih-Chuan Chen:
An integrated product service system modelling methodology with a case study of clothing industry. Int. J. Prod. Res. 56(6): 2388-2409 (2018) - [c19]Yi-Jyun Chen, Yen-Han Lee, Ming-Chuan Chiu:
Construct an Intelligent Yield Alert and Diagnostic Analysis System via Data Analysis: Empirical Study of a Semiconductor Foundry. APMS (2) 2018: 394-401 - 2017
- [j7]Ming-Chuan Chiu, Li-Wei Ko:
Develop a personalized intelligent music selection system based on heart rate variability and machine learning. Multim. Tools Appl. 76(14): 15607-15639 (2017) - [c18]Lisa-Marie Reitmaier, Ting-Chieh Ou, Cheng-Yu Tsai, Julio Sanchez, Ming-Chuan Chiu:
Implementing a Platform-Service Based on the Sharing Economy for Supply Chain Operations of Small and Medium Enterprises. TE 2017: 94-101 - [c17]Haozhan Zhang, Chi-Min Hsieh, Yun-Liang Luo, Ming-Chuan Chiu:
An Investigation of Cross-Border E-Commerce Logistics and Develop Strategies Through SCCOM Framework and Logistic Service Risk Analysis. TE 2017: 102-113 - [c16]Wan-Jun Lin, Ming-Chuan Chiu:
Design a Personalized Brain-Computer Interface of LegoRobot Assisted by Data Analysis Method. TE 2017: 311-320 - [c15]Jia-Jiu Wu, Ming-Chuan Chiu:
An Innovative Interface Design and Customized Usability Testing Method: Case Study of Internet of Things Integration Platform Interface. TE 2017: 365-376 - [c14]Jin-Hung Lin, Ming-Chuan Chiu:
A Mathematical Model to Evaluate and Improve Lean Management of Healthcare System: A Case Study of Health Examination Center. TE 2017: 530-537 - [c13]Chi-Shiuan Tsai, Ming-Chuan Chiu:
Design of Personalized Product Service System Utilizing Multi-Agent System. TE 2017: 845-851 - [c12]Kong-Zhao Lin, Ming-Chuan Chiu:
Utilizing Text Mining and Kansei Engineering to Support Data-Driven Design Automation. TE 2017: 949-958 - [c11]Yi-Hong Chen, Pei-Hsun Ho, Ming-Chuan Chiu:
Utilizing Cyber Physical System to Achieve Intelligent Product Design: A Case Study of Transformer. TE 2017: 1031-1040 - 2016
- [j6]Ming-Chuan Chiu, Jr-Yi Chiou:
Technical service platform planning based on a company's competitive advantage and future market trends: A case study of an IC foundry. Comput. Ind. Eng. 99: 503-517 (2016) - [j5]Ming-Chuan Chiu, Yi-Hsuan Lin:
Simulation based method considering design for additive manufacturing and supply chain: An empirical study of lamp industry. Ind. Manag. Data Syst. 116(2): 322-348 (2016) - 2015
- [j4]Yu-Ting Chen, Ming-Chuan Chiu:
A case-based method for service-oriented value chain and sustainable network design. Adv. Eng. Informatics 29(3): 269-294 (2015) - [c10]Li-Wei Ko, Kai-Hsiang Chuang, Ming-Chuan Chiu:
The Research of Music and Emotion Interaction with a Case Study of Intelligent Music Selection System. CE 2015: 585-594 - 2014
- [j3]Ming-Chuan Chiu, Gül E. Okudan:
An investigation on the impact of product modularity level on supply chain performance metrics: an industrial case study. J. Intell. Manuf. 25(1): 129-145 (2014) - [j2]Ming-Chuan Chiu, Gül E. Okudan Kremer:
An Investigation on Centralized and Decentralized Supply Chain Scenarios at the Product Design Stage to Increase Performance. IEEE Trans. Engineering Management 61(1): 114-128 (2014) - [c9]Wei-Ying Cheng, Po-Hsin Huang, Ming-Chuan Chiu:
Integrating psychological and physiological techniques to measure and improve usability an empirical study on health management sport applied product. CSCWD 2014: 481-486 - [c8]Yi-Jie Chang, Po-Hsin Huang, Ming-Chuan Chiu:
Service dissatisfaction detection and service recovery design with a case study of kinect health management motion sport game. CSCWD 2014: 487-492 - [c7]Po-Hsin Huang, Ming-Chuan Chiu:
Evaluating the Healthcare Management System by Usability Testing. HCI (20) 2014: 369-376 - [c6]Yu-Ting Chen, Ming-Chuan Chiu:
A Value Creation Based Business Model for Customized Product Service System Design. CE 2014: 54-63 - [c5]Yi-Hsuan Lin, Yu-Ting Chen, Ming-Chuan Chiu:
Configuration Optimization of Additive Manufacturing Based Supply Chain Using Simulation Approach. CE 2014: 607-616 - [c4]Li-Wei Ko, Yu-Ting Chen, Ming-Chuan Chiu:
Integrating Music Therapy and Music Information Retrieval Using Music Pattern Analysis. CE 2014: 678-687 - [c3]Ya-Wen Hsu, Ming-Chuan Chiu, Sheue-Ling Hwang:
Investigating the Relationship between Therapeutic Music and Emotion: A Pilot Study on Healthcare Service. CE 2014: 688-697 - [c2]Wen-Pin Hsiao, Ming-Chuan Chiu:
A Mass Personalization Methodology Based on Co-creation. CE 2014: 698-705 - 2013
- [j1]Gül E. Okudan, Ming-Chuan Chiu, Tae-Hyun Kim:
Perceived feature utility-based product family design: a mobile phone case study. J. Intell. Manuf. 24(5): 935-949 (2013) - [c1]Hao-Ping Lo, Pi-Lien Chiu, Ming-Chuan Chiu:
A Systematic Methodology for Service Innovation and Performance Measurement with a Home Service Case Study. ICSSI 2013: 162-169
Coauthor Index
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