Cristin

2024
1.	Wang, Yi; Yu, Tao; Wang, Kesheng. IWAMA 2023: International Workshop of Advanced Manufacturing and Automation XIII. Springer 2024 (ISBN 978-981-97-0665-5) ;Volum 1154.756 s. Lecture Notes in Electrical Engineering(1) NTNU Untitled
2023
2.	Wang, Yi; Yu, Tao; Wang, Kesheng. Advanced Manufacturing and Automation XII. Conference proceedings IWAMA 2022.. Springer 2023 (ISBN 978-981-19-9338-1) 884 s. Lecture Notes in Electrical Engineering(994) NTNU Untitled

3.	Wu, Bin; Bai, Shuangwei; Rajbhandari, Bijina; Li, Bangyuan; Wang, Kesheng. Quantity Flexibility Contract Model for Emergency Procurement Considering Supply Disruption. Complex System Modeling and Simulation 2023 ;Volum 3.(2) s. 143-156 NTNU Untitled
2022
4.	Sun, Xu; Yu, Hao; Solvang, Wei Deng; Wang, Yi; Wang, Kesheng. The Application of Industry 4.0 Technologies in Sustainable Logistics: A Systematic Literature Review (2012-2020) to Explore Future Research Opportunities. Environmental Science and Pollution Research 2022 ;Volum 29. s. 9560-9591 NTNU UiT Untitled

5.	Wang, Yi; Martinsen, Kristian; Yu, Tao; Wang, Kesheng. Advanced Manufacturing and Automation XI Conference proceedings IWAMA 2021. Springer 2022 (ISBN 978-981-19-0572-8) 775 s. Lecture Notes in Electrical Engineering(880) NTNU Untitled

6.	Xing, Lining; Zhang, Mingyang; Li, Hao; Gong, Maoguo; Yang, Jinghui; Wang, Kesheng. Local search driven periodic scheduling for workflows with random task runtime in clouds. Computers & industrial engineering 2022 ;Volum 168. s. - NTNU Untitled

7.	Zhang, Guanghui; Ma, Wenjing; Xing, Keyi; Xing, Lining; Wang, Kesheng. Quantum-Inspired Distributed Memetic Algorithm. Complex System Modeling and Simulation 2022 ;Volum 2.(4) s. 334-353 NTNU Untitled

8.	Zhang, Junfeng; Xing, Lining; Tan, Zhen; Wang, Hongsen; Wang, Kesheng. Multi-head attention fusion networks for multi-modal speech emotion recognition. Computers & industrial engineering 2022 ;Volum 168. s. - NTNU Untitled
2021
9.	Parotti, Francesca; Chirici, Lapo; Wang, Kesheng. Aerospace Device for Augmented Human Perception. I: International Workshop of Advanced Manufacturing and Automation. Advanced Manufacturing and Automation X. IWAMA 2020. Springer 2021 ISBN 978-981-33-6318-2. s. 718-724 NTNU Untitled

10.	Wang, Yi; Martinsen, Kristian; Yu, Tao; Wang, Kesheng. Advanced manufacuring and automation X. Springer Nature 2021 (ISBN 9789813363175) ;Volum 737.753 s. Lecture Notes in Electrical Engineering(.) NTNU Untitled

11.	Wang, Yi; Yu, Tao; Martinsen, Kristian; Wang, Kesheng. International Workshop of Advanced Manufacturing and Automation. Advanced Manufacturing and Automation X. IWAMA 2020. Springer 2021 (ISBN 978-981-33-6318-2) 751 s. Lecture Notes in Electrical Engineering(Volume 737) NTNU Untitled

12.	Wu, Jian; Liu, Tonggang; Wang, Kesheng; Sørby, Knut. A measuring method for micro force based on MEMS planar torsional spring. Measurement Science and Technology 2021 ;Volum 32. s. - NTNU Untitled

13.	Wu, Jian; Liu, Tonggang; Yu, Ning; Cao, Jiejie; Wang, Kesheng; Sørby, Knut. A Pin-on-Disk Tribometer for Friction and Lubricating Performance in mm-Scale. Tribology letter 2021 ;Volum 69.(2) s. - NTNU Untitled

14.	Wu, Jie; Tang, Tang; Chen, Ming; Wang, Kesheng. The Application of a Lightweight Domain-Adversarial Neural Network in Bearing Fault Diagnosis. I: International Workshop of Advanced Manufacturing and Automation. Advanced Manufacturing and Automation X. IWAMA 2020. Springer 2021 ISBN 978-981-33-6318-2. s. 312-320 NTNU Untitled

15.	Zhang, Tianshu; Gao, Xiue; Wang, Kesheng; Chen, Shifeng. Storage Genetic Scheduling Algorithm Based on Leader Selection Operator. I: International Workshop of Advanced Manufacturing and Automation. Advanced Manufacturing and Automation X. IWAMA 2020. Springer 2021 ISBN 978-981-33-6318-2. s. 528-535 NTNU Untitled
2020
16.	Chen, Bo; Wang, Kesheng; Gao, Xiue; Wang, Yi; Chen, Shifeng; Zhang, Tianshu; Martinsen, Kristian; Ghosh, Tamal. A New Fault Identification Method Based on Combined Reconstruction Contribution Plot and Structured Residual. I: Advanced manufacturing and automation IX. Springer 2020 ISBN 9789811523410. s. 283-291 NTNU Untitled

17.	Chirici, Lapo; Wang, Yi; Wang, Kesheng. Multidimensional Analysis Between High-Energy-Physics Theory Citation Network and Twitter. Lecture Notes in Electrical Engineering 2020 ;Volum 634. s. 639-645 NTNU Untitled

18.	Gao, Xiue; Chen, Bo; Chen, Shifeng; Wang, Kesheng; Wang, Yi; Xie, Wenxue; Yuan, Jin; Martinsen, Kristian; Ghosh, Tamal. Collaborative Fault Diagnosis Decision Fusion Algorithm Based on Improved DS Evidence Theory. I: Advanced manufacturing and automation IX. Springer 2020 ISBN 9789811523410. s. 379-387 NTNU Untitled

19.	Ghosh, Tamal; Yi, Wang; Martinsen, Kristian; Wang, Kesheng. A Surrogate-Assisted Optimization Approach for Multi-Response End Milling of Aluminium Alloy AA3105. The International Journal of Advanced Manufacturing Technology 2020 ;Volum 111. s. 2419-2493 NTNU Untitled

20.	Li, Zhe; Wang, Yi; Wang, Kesheng. A data-driven method based on deep belief networks for backlash error prediction in machining centers. Journal of Intelligent Manufacturing 2020 ;Volum 31. s. 1693-1705 NTNU Untitled

21.	Liu, Shouzheng; Liu, Lian; Wan, Xiang; Wang, Kesheng; Wu, Fang. Application of Automotive Rear Axle Assembly. Lecture Notes in Electrical Engineering 2020 ;Volum 634 LNEE. s. 473-479 NTNU Untitled

22.	Wang, Chen; Wang, Yi; Wang, Kesheng. Application of Variable Step Size Beetle Antennae Search Optimization Algorithm in the Study of Spatial Cylindrical Errors. Lecture Notes in Electrical Engineering 2020 ;Volum 634 LNEE. s. 646-653 NTNU Untitled

23.	Wang, Yi; Martinsen, Kristian; Yu, Tao; Wang, Kesheng. Advanced manufacturing and automation IX. Springer 2020 (ISBN 9789811523410) ;Volum 634.681 s. Lecture Notes in Electrical Engineering(.) NTNU Untitled

24.	Wu, Jie; Tang, Tang; Chen, Ming; Wang, Yi; Wang, Kesheng. A study on adaptation lightweight architecture based deep learning models for bearing fault diagnosis under varying working conditions. Expert Systems With Applications 2020 ;Volum 160. s. 1-14 NTNU Untitled

25.	Zhang, Xiangyu; Liu, Lilan; Wan, Xiang; Wang, Kesheng; Huang, Qi. Assembly Sequence Optimization Based on Improved PSO Algorithm. Lecture Notes in Electrical Engineering 2020 ;Volum 634 LNEE. s. 457-465 NTNU Untitled
2019
26.	Baturynska, Ivanna; Semeniuta, Oleksandr; Wang, Kesheng. Application of Machine Learning Methods to Improve Dimensional Accuracy in Additive Manufacturing. I: Advanced Manufacturing and Automation VIII Proceedings IWAMA 2018. Springer 2019 ISBN 978-981-13-2375-1. s. 245-252 NTNU Untitled

27.	Li, Baorui; Wang, Yi; Dai, Guohong; Wang, Kesheng. Framework and case study of cognitive maintenance in Industry 4.0. Frontiers of Information Technology and Electronic Engineering (FITEE) 2019 ;Volum 20.(11) s. 1493-1504 NTNU Untitled

28.	Li, Baorui; Wang, Yi; Wang, Kesheng; Yang, Jinghui. Application of CNN Deep Learning in Product Design Evaluation. Lecture Notes in Electrical Engineering 2019 ;Volum 484. s. 517-526 NTNU Untitled

29.	Li, Zhe; Li, Jingyue; Wang, Yi; Wang, Kesheng. A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment. The International Journal of Advanced Manufacturing Technology 2019 ;Volum 103.(1-4) s. 499-510 NTNU Untitled

30.	Li, Zhe; Wang, Yi; Wang, Kesheng. A deep learning driven method for fault classification and degradation assessment in mechanical equipment. Computers in industry (Print) 2019 ;Volum 104. s. 1-10 NTNU Untitled

31.	Li, Zhe; Wang, Yi; Wang, Kesheng; Li, Jingyue. HDPS-BPSO Based Predictive Maintenance Scheduling for Backlash Error Compensation in a Machining Center. Lecture Notes in Electrical Engineering 2019 ;Volum 484. s. 71-77 NTNU Untitled

32.	Ogorodnyk, Olga; Lyngstad, Ole Vidar; Larsen, Mats; Wang, Kesheng; Martinsen, Kristian. Application of Machine Learning Methods for Prediction of Parts Quality in Thermoplastics Injection Molding. I: Advanced Manufacturing and Automation VIII Proceedings IWAMA 2018. Springer 2019 ISBN 978-981-13-2375-1. s. 237-244 NTNU SRAUFOSS Untitled

33.	Wang, Chen; Wang, Yi; Wang, Kesheng; Yang, Yang; Tian, Yingzhong. An improved biogeography/complex algorithm based on decomposition for many-objective optimization. International Journal of Machine Learning and Cybernetics 2019 ;Volum 10.(8) s. 1961-1977 NTNU Untitled

34.	Wang, Kesheng; Wang, Yi; Strandhagen, Jan Ola; Yu, Tao. Advanced Manufacturing and Automation VIII Proceedings IWAMA 2018. Springer 2019 (ISBN 978-981-13-2375-1) 709 s. Lecture Notes in Electrical Engineering(484) NTNU Untitled

35.	Wang, Yi; Wang, Kesheng; Dai, Guohong. Cognitive Maintenance for High-End Equipment and Manufacturing. Lecture Notes in Electrical Engineering 2019 ;Volum 484. s. 394-400 NTNU Untitled

36.	Yuan, Jin; Wang, Yi; Wang, Kesheng. LSTM Based Prediction and Time-Temperature Varying Rate Fusion for Hydropower Plant Anomaly Detection: A Case Study. Lecture Notes in Electrical Engineering 2019 ;Volum 484. s. 86-94 NTNU Untitled
2018
37.	Chirici, Lapo; Wang, Kesheng. Big Data Analysis in Click Prediction. Lecture Notes in Electrical Engineering 2018 ;Volum 451. s. 629-644 NTNU Untitled

38.	Li, Baorui; Wang, Yi; Wang, Kesheng; Yang, Jinghui; Liu, Lilan. A Study on a Novel Application of Eye Tracking Technology in Product Customization. Lecture Notes in Electrical Engineering 2018 ;Volum 451. s. 617-628 NTNU Untitled

39.	Li, Zhe; Pedersen, Viggo Gabriel Borg; Wang, Kesheng; He, Yafei. Fault Classification and Degradation Assessment Based on Wavelet Packet Decomposition for Rotary Machinery.. I: Advanced Manufacturing and Automation VII Gathers selected presentations from the 7th International Workshop of Advanced Manufacturing and Automation (IWAMA 2017), Changshu, China. Springer 2018 ISBN 978-981-10-5767-0. s. 509-516 NTNU Untitled

40.	Ma, Haishu; Wang, Yi; Wang, Kesheng. Automatic detection of false positive RFID readings using machine learning algorithms. Expert Systems With Applications 2018 ;Volum 91. s. 442-451 NTNU Untitled

41.	Ma, Haishu; Yang, Jinghui; Wang, Kesheng. A RFID Based Solution for Managing the Order-Picking Operation in Warehouse. Lecture Notes in Electrical Engineering 2018 ;Volum 451. s. 413-419 NTNU Untitled

42.	Wang, Kesheng; Wang, Yi. How AI Affects the Future Predictive Maintenance: A Primer of Deep Learning. Lecture Notes in Electrical Engineering 2018 ;Volum 451. s. 1-9 NTNU Untitled

43.	Wang, Kesheng; Wang, Yi; Strandhagen, Jan Ola; Yu, Tao. Advanced Manufacturing and Automation VII Gathers selected presentations from the 7th International Workshop of Advanced Manufacturing and Automation (IWAMA 2017), Changshu, China. Springer 2018 (ISBN 978-981-10-5767-0) ;Volum 451.644 s. Lecture Notes in Electrical Engineering(1) NTNU Untitled

44.	Yu, Quan; Wang, Kesheng; Strandhagen, Jan Ola; Wang, Yi. Application of Long Short-Term Memory Neural Network to Sales Forecasting in Retail—A Case Study. Lecture Notes in Electrical Engineering 2018 ;Volum 451. s. 11-17 NTNU Untitled

45.	Yuan, Jin; Wang, Kesheng; Wang, Yi. Deep Learning Approach to Multiple Features Sequence Analysis in Predictive Maintenance. Lecture Notes in Electrical Engineering 2018 ;Volum 451. s. 581-590 NTNU Untitled
2017
46.	Li, Baorui; Wang, Yi; Wang, Kesheng. A novel method for the evaluation of fashion product design based on data mining. Advances in Manufacturing 2017 ;Volum 5.(4) s. 370-376 NTNU Untitled

47.	Li, Zhe; Pedersen, Viggo Gabriel Borg; Wang, Kesheng. Fault Classification and Degradation Assessment Based on Wavelet Packet Decomposition for Rotary Machinery.. IWAMA 2017; 2017-09-11 - 2017-09-12 NTNU Untitled

48.	Li, Zhe; Wang, Yi; Wang, Kesheng. Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: Industry 4.0 scenario. Advances in Manufacturing 2017 ;Volum 5.(4) s. 377-387 NTNU Untitled

49.	Ma, Haishu; Wang, Kesheng. Fusion of RSS and Phase Shift Using the Kalman Filter for RFID Tracking. IEEE Sensors Journal 2017 ;Volum 17.(11) s. 3551-3558 NTNU Untitled

50.	Ma, Haishu; Wang, Yi; Wang, Kesheng; Ma, Zongzheng. The optimization for hyperbolic positioning of UHF passive RFID tags. IEEE Transactions on Automation Science and Engineering 2017 ;Volum 14.(4) s. 1590-1600 NTNU Untitled

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