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ORCIDJournal of Intelligent Manufacturing, Volume 35
Volume 35, Number 1, January 2024
- Andrew Kusiak:
Hyper-automation in manufacturing industry. 1-2 - Miguel Castillo, Roberto Monroy, Rafiq Ahmad
:
Scientometric analysis and systematic review of smart manufacturing technologies applied to the 3D printing polymer material extrusion system. 3-33 - Hongbin Wang, Yang Ding, Hanchuan Xu:
Particle swarm optimization service composition algorithm based on prior knowledge. 35-53 - Deyuan Ma, Ping Jiang, Leshi Shu, Zhaoliang Gong, Yilin Wang, ShaoNing Geng:
Online porosity prediction in laser welding of aluminum alloys based on a multi-fidelity deep learning framework. 55-73 - Xuan Jing, Xifan Yao, Min Liu, Jiajun Zhou:
Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling. 75-93 - Zeqing Yang, Mingxuan Zhang, Yingshu Chen, Ning Hu, Lingxiao Gao, Libing Liu, Enxu Ping, Jung Il Song:
Surface defect detection method for air rudder based on positive samples. 95-113 - Yupeng Wei, Dazhong Wu:
Material removal rate prediction in chemical mechanical planarization with conditional probabilistic autoencoder and stacking ensemble learning. 115-127 - Daehyun Baek, Hyeong Soon Moon, Sang-Hu Park:
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding. 129-145 - Zhicheng Xu, Vignesh Selvaraj, Sangkee Min:
State identification of a 5-axis ultra-precision CNC machine tool using energy consumption data assisted by multi-output densely connected 1D-CNN model. 147-160 - Hamid Jamshidi, Erhan Budak:
A digital twin-based framework for selection of grinding conditions towards improved productivity and part quality. 161-173 - Xiaochen Zheng, Xiaodu Hu, Rebeca Arista, Jinzhi Lu, Jyri Sorvari, Joachim Lentes, Fernando Ubis, Dimitris Kiritsis:
A semantic-driven tradespace framework to accelerate aircraft manufacturing system design. 175-198 - Huixin Tian, Qiangqiang Xu:
A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor. 199-216 - Hongquan Jiang, Deyan Yang, Zelin Zhi, Qiangzheng Jing, Jianmin Gao, Chenyue Tao, Zhixiang Cheng:
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network. 217-233 - Xifan Yao, Nanfeng Ma, Jianming Zhang, Kesai Wang, Erfu Yang, Maurizio Faccio:
Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0. 235-255 - Tales H. A. Boratto, Camila Martins Saporetti, Samuel da Costa Alves Basilio, Alexandre A. Cury, Leonardo Goliatt:
Data-driven cymbal bronze alloy identification via evolutionary machine learning with automatic feature selection. 257-273 - Chen Fu Chien, Hsin-Jung Wu:
Integrated circuit probe card troubleshooting based on rough set theory for advanced quality control and an empirical study. 275-287 - Guo Zhou, Kai Zhou, Jing Zhang, Meng Yuan, Xiaohao Wang, Pingfa Feng, Min Zhang, Feng Feng:
Digital modeling-driven chatter suppression for thin-walled part manufacturing. 289-305 - Bikash Koli Dey, Hyesung Seok:
Intelligent inventory management with autonomation and service strategy. 307-330 - Dongxiang Hou, Xiaodong Wang, Qing Song, Xuesong Mei, Haicheng Wang:
A quality improvement method for complex component fine manufacturing based on terminal laser beam deflection compensation. 331-341 - Wenwen Tian, Jiong Zhang, Fei Zhao, Xiaobing Feng, Xuesong Mei, Guangde Chen, Hao Wang:
Interpolation-based virtual sample generation for surface roughness prediction. 343-353 - Chaoying Yang, Jie Liu, Kaibo Zhou, Xinyu Li:
Dynamic spatial-temporal graph-driven machine remaining useful life prediction method using graph data augmentation. 355-366 - Shuai Ma, Kechen Song, Menghui Niu, Hongkun Tian, Yunhui Yan:
Cross-scale fusion and domain adversarial network for generalizable rail surface defect segmentation on unseen datasets. 367-386 - Hao Sun, Shengqiang Zhao, Fangyu Peng, Rong Yan, Lin Zhou, Teng Zhang, Chi Zhang:
In-situ prediction of machining errors of thin-walled parts: an engineering knowledge based sparse Bayesian learning approach. 387-411 - Zhaoyang Yin, Mingjun Chen, Linjie Zhao, Jian Cheng, Chao Tan, Xiaotao Li, Zhiyu Lin, Yankang Chen:
A novel automatic classification approach for micro-flaws on the large-aperture optics surface based on multi-light source fusion and integrated deep learning architecture. 413-428 - Bianca Maria Colosimo, Luca Pagani, Marco Grasso:
Modeling spatial point processes in video-imaging via Ripley's K-function: an application to spatter analysis in additive manufacturing. 429-447 - Zhen Zhang, Zenan Yang, Chenchong Wang, Wei Xu:
Accelerating ultrashort pulse laser micromachining process comprehensive optimization using a machine learning cycle design strategy integrated with a physical model. 449-465
Volume 35, Number 2, February 2024
- Giulio Mattera, Luigi Nele, Davide Paolella:
Monitoring and control the Wire Arc Additive Manufacturing process using artificial intelligence techniques: a review. 467-497 - Luis M. Camarinha-Matos, André Dionísio Rocha, Paula Graça:
Collaborative approaches in sustainable and resilient manufacturing. 499-519 - Josué Obregon, Jae-Yoon Jung:
Rule-based visualization of faulty process conditions in the die-casting manufacturing. 521-537 - Shiquan Ling, Daqiang Guo, Mingxing Li, Yiming Rong, George Q. Huang:
Heterogeneous demand-capacity synchronization for smart assembly cell line based on artificial intelligence-enabled IIoT. 539-554 - Stéphane Touzé, Matthieu Rauch, Jean-Yves Hascoët:
Methodology for complexity and cost comparison between subtractive and additive manufacturing processes. 555-574 - Fanbo Meng, Jin Huang, Bu Ping, Pengfei Yuan, Nan Bai, Xiaolai Zhang, Xueyou Shi, Jinzhu Zhou, Peng Li, Pengbing Zhao:
Intelligent control system for 3D inkjet printing. 575-586 - Sunil Kumar, Afzal Sikander:
A novel hybrid framework for single and multi-robot path planning in a complex industrial environment. 587-612 - Xiangdong Wang, Xiaofeng Hu, Jiafu Wan:
Digital-twin based real-time resource allocation for hull parts picking and processing. 613-632 - Yuxi Xie, Shaofan Li, C. T. Wu, Zhipeng Lai, Miao Su:
A novel hypergraph convolution network for wafer defect patterns identification based on an unbalanced dataset. 633-646 - Jun Zhou, Qingling Cai:
Global and local representation collaborative learning for few-shot learning. 647-664 - Jun Zhou, Qingling Cai:
Correction: Global and local representation collaborative learning for few-shot learning. 665 - Felix Grumbach, Anna Müller, Pascal Reusch, Sebastian Trojahn:
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning. 667-686 - Shuanlong Niu, Yaru Peng, Bin Li, Yuanhong Qiu, Tongzhi Niu, Weifeng Li:
A novel deep learning motivated data augmentation system based on defect segmentation requirements. 687-701 - Song Lin, Zhiyong He, Lining Sun:
A novel micro-defect classification system based on attention enhancement. 703-726 - Xianyu Zhang, Xinguo Ming:
A smart system of Customer- product Interaction Life Cycle (CILC) in industrial Internet era for mass personalization from industrial practice survey: identification, definition, acquisition and parsing. 727-756 - Nimel Sworna Ross, Paul T. Sheeba, C. Sherin Shibi, Munish Kumar Gupta, Mehmet Erdi Korkmaz, Vishal S. Sharma:
A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models. 757-775 - Qibin Wang, Yuanbing Xu, Shengkang Yang, Jiantao Chang, Jingang Zhang, Xianguang Kong:
A domain adaptation method for bearing fault diagnosis using multiple incomplete source data. 777-791 - Maurizio Faccio, Irene Granata, Riccardo Minto:
Task allocation model for human-robot collaboration with variable cobot speed. 793-806 - Shih-Hsien Tseng, Khoa-Dang Tran:
Predicting maintenance through an attention long short-term memory projected model. 807-824 - Jakob Zietsch, Rafal Kulaga, Harald Held, Christoph Herrmann, Sebastian Thiede:
Multi-layer edge resource placement optimization for factories. 825-840 - Jiaqi Zhao, Xiaolong Qian, Yunzhou Zhang, Dexing Shan, Xiaozheng Liu, Sonya Coleman, Dermot Kerr:
A knowledge distillation-based multi-scale relation-prototypical network for cross-domain few-shot defect classification. 841-857 - Corentin Lallier, Guillaume Blin, Bruno Pinaud, Laurent Vézard:
Graph neural network comparison for 2D nesting efficiency estimation. 859-873 - Muhammad Hassan, Marcus Svadling, Niclas Björsell:
Experience from implementing digital twins for maintenance in industrial processes. 875-884 - Stefano De Blasi, Maryam Bahrami, Elmar Engels, Alexander Gepperth:
Safe contextual Bayesian optimization integrated in industrial control for self-learning machines. 885-903 - Xiaokang Huang, Xukai Ren, Huanwei Yu, Xiyong Du, Xianfeng Chen, Ze Chai, Xiaoqi Chen:
Partitioned abrasive belt condition monitoring based on a unified coefficient and image processing. 905-923 - Zeqing Jin, Dahyun Daniel Lim, Xueying Zhao, Meenakshi Mamunuru, Sassan Roham, Grace X. Gu:
Machine learning enabled optimization of showerhead design for semiconductor deposition process. 925-935
Volume 35, Number 3, March 2024
- Chao Huang, Siqi Bu, Hiu Hung Lee, Kwong Wah Chan, Winco K. C. Yung:
Prognostics and health management for induction machines: a comprehensive review. 937-962 - Norbert Piotrowski:
Machine learning approach to packaging compatibility testing in the new product development process. 963-975 - Tian-Feng Qi, Hairong Fang, Yu-Fei Chen, Li-Tao He:
Research on digital twin monitoring system for large complex surface machining. 977-990 - Alberto Boschetto, Luana Bottini, Somayeh Vatanparast:
Powder bed monitoring via digital image analysis in additive manufacturing. 991-1011 - Jinling Wang, Yebing Tian, Xintao Hu, Zenghua Fan, Jinguo Han, Yanhou Liu:
Development of grinding intelligent monitoring and big data-driven decision making expert system towards high efficiency and low energy consumption: experimental approach. 1013-1035 - Sara Bysko, Jolanta Krystek, Andrzej Swierniak:
Nash equilibrium as a tool for the Car Sequencing Problem 4.0. 1037-1053 - Samuel Gerdes, Aniruddha Gaikwad, Srikanthan Ramesh, Iris V. Rivero, Ali Tamayol, Prahalada Rao:
Monitoring and control of biological additive manufacturing using machine learning. 1055-1077 - Zhiwen Huang, Jiajie Shao, Jianmin Zhu, Wei Zhang, Xiaoru Li:
Tool wear condition monitoring across machining processes based on feature transfer by deep adversarial domain confusion network. 1079-1105 - Funing Li, Sebastian Lang, Bingyuan Hong, Tobias Reggelin:
A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups. 1107-1140 - Ruining Tang, Zhenyu Liu, Yiguo Song, Guifang Duan, Jianrong Tan:
Hierarchical multi-scale network for cross-scale visual defect detection. 1141-1157 - Yao Li, Zhengcai Zhao, Yucan Fu, Qingliang Chen:
A novel approach for tool condition monitoring based on transfer learning of deep neural networks using time-frequency images. 1159-1171 - Hongquan Gui, Jialan Liu, Chi Ma, Mengyuan Li:
Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model. 1173-1196 - Yufan Zhu, Si-Lu Chen, Chi Zhang, Zhongyu Piao, Guilin Yang:
Development of adaptive safety constraint by predicting trajectories of closest points between human and co-robot. 1197-1206 - Hongwei Xu, Wei Qin, Yan-Ning Sun, Youlong Lv, Jie Zhang:
Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process. 1207-1220 - Thanasis Zoumpekas, Alexander Leutgeb, Anna Puig, Maria Salamó:
Machining tool identification utilizing temporal 3D point clouds. 1221-1232 - Isack Farady, Chih-Yang Lin, Ming-Ching Chang:
PreAugNet: improve data augmentation for industrial defect classification with small-scale training data. 1233-1246 - Peng Gao, Zijian Wu, Yiming Wang, Jun Lu, Zhuang Zhao:
Method for monitoring and controlling penetration of complex groove welding based on online multi-modal data. 1247-1265 - Bingyu Lu, Biqing Huang:
A texture-aware one-stage fabric defect detection network with adaptive feature fusion and multi-task training. 1267-1280 - Nicholas Satterlee, Elisa Torresani, Eugene Olevsky, John S. Kang:
Automatic detection and characterization of porosities in cross-section images of metal parts produced by binder jetting using machine learning and image augmentation. 1281-1303 - Matthew Russell, Joseph Kershaw, Yujun Xia, Tianle Lv, Yongbing Li, Hassan Ghassemi-Armaki, Blair E. Carlson, Peng Wang:
Comparison and explanation of data-driven modeling for weld quality prediction in resistance spot welding. 1305-1319 - Ramy M. Khalifa, Soumaya Yacout, Samuel Bassetto:
Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average. 1321-1336 - Ping Chen, Mingfang Chen, Sen Wang, Yanjin Song, Yu Cui, Zhongping Chen, Yongxia Zhang, Songlin Chen, Xiang Mo:
Real-time defect detection of TFT-LCD displays using a lightweight network architecture. 1337-1352 - Xiahui Liu, Liqun Zhang, Qianwang Deng, Meng Li, Chao Jiang:
Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions. 1353-1372 - Adhe Kania, Bekir Afsar, Kaisa Miettinen, Juha Sipilä:
DESMILS: a decision support approach for multi-item lot sizing using interactive multiobjective optimization. 1373-1387 - Javid Akhavan, Jiaqi Lyu, Souran Manoochehri:
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data. 1389-1406
Volume 35, Number 4, April 2024
- T. Herzog, Milan Brandt, Adrian Trinchi, Antonella Sola, A. Molotnikov:
Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing. 1407-1437 - Wei Guo, Yijin Wang, Xin Chen, Pingyu Jiang:
Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application. 1439-1454 - Jianyu Long, Yibin Chen, Huiyu Huang, Zhe Yang, Yunwei Huang, Chuan Li:
Multidomain variance-learnable prototypical network for few-shot diagnosis of novel faults. 1455-1467 - Christian Idzik, Alexander Krämer, Gerhard Hirt, J. Lohmar:
Coupling of an analytical rolling model and reinforcement learning to design pass schedules: towards properties controlled hot rolling. 1469-1490 - Thanh Q. Nguyen, Nghi N. Nguyen, Xuan Van Tran:
Power spectral density moment of having defective 3D printed plastic beams under moving load based on deep learning. 1491-1515 - Michael Mario Wocker, Frederik Ferid Ostermeier, Tobias Wanninger, Ronny Zwinkau, Jochen Deuse:
Flexible job shop scheduling with preventive maintenance consideration. 1517-1539 - Alberto Mozo, Stanislav Vakaruk, Jesús Enrique Sierra-García, Antonio Pastor:
Anticipatory analysis of AGV trajectory in a 5G network using machine learning. 1541-1569 - Kunyu Wang, Lin Zhang, Zidi Jia, Hongbo Cheng, Han Lu, Jin Cui:
A framework and method for equipment digital twin dynamic evolution based on IExATCN. 1571-1583 - Peng Shi, Xiaomeng Tong, Maolin Cai, Shuai Niu:
A novel 2.5D machining feature recognition method based on ray blanking algorithm. 1585-1605 - Joselito Yam II Alcaraz, Wout Foqué, Abhay Sharma, Tegoeh Tjahjowidodo:
Indirect porosity detection and root-cause identification in WAAM. 1607-1628 - Angelo Cardellicchio, Massimiliano Nitti, Cosimo Patruno, Nicola Mosca, Maria di Summa, Ettore Stella, Vito Renò:
Automatic quality control of aluminium parts welds based on 3D data and artificial intelligence. 1629-1648 - Maroua Ghali, Sami Elghali, Nizar Aifaoui:
Genetic algorithm optimization based on manufacturing prediction for an efficient tolerance allocation approach. 1649-1670 - Hangbin Zheng, Tianyuan Liu, Jiayu Liu, Jinsong Bao:
Visual analytics for digital twins: a conceptual framework and case study. 1671-1686 - Simon Oster, Philipp P. Breese, Alexander Ulbricht, Gunther Mohr, Simon J. Altenburg:
A deep learning framework for defect prediction based on thermographic in-situ monitoring in laser powder bed fusion. 1687-1706 - Chenze Wang, Han Wang, Min Liu:
A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data. 1707-1719 - Martin Unterberg, Marco Becker, Philipp Niemietz, Thomas Bergs:
Data-driven indirect punch wear monitoring in sheet-metal stamping processes. 1721-1735 - Runyu Zhang, Yingjian Liu, Thomas Zheng, Sarah Eddin, Steven Nolet, Yi-Ling Liang, Shaghayegh Rezazadeh, Joseph Wilson, Hongbing Lu, Dong Qian:
A fast spatio-temporal temperature predictor for vacuum assisted resin infusion molding process based on deep machine learning modeling. 1737-1764 - Xingguo Wang, Xiaoyu Chen, Zhuang Zhao, Yi Zhang, Dongliang Zheng, Jing Han:
High-precision point cloud registration system of multi-view industrial self-similar workpiece based on super-point space guidance. 1765-1779 - Nhat-To Huynh:
A multi-subpopulation genetic algorithm-based CNN approach for ceramic tile defects classification. 1781-1792 - Ming-Chuan Chiu, Yu-Hsiang Chiang, Jing-Er Chiu:
Developing an explainable hybrid deep learning model in digital transformation: an empirical study. 1793-1810 - Zhenshuang Wu, Nian Cai, Kaiqiong Chen, Hao Xia, Shuai Zhou, Han Wang:
GAN-based statistical modeling with adaptive schemes for surface defect inspection of IC metal packages. 1811-1824 - Andrew Chung Chee Law, Rongxuan Wang, Jihoon Chung, Ezgi Kucukdeger, Yang Liu, Ted Barron, Blake N. Johnson, Zhenyu James Kong:
Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold. 1825-1844 - Changxuan Zhao, Shreyes N. Melkote:
Learning the manufacturing capabilities of machining and finishing processes using a deep neural network model. 1845-1865 - Chen Yin, Yulin Wang, Jeong Hoon Ko, Heow Pueh Lee, Yuxin Sun:
Attention-driven transfer learning framework for dynamic model guided time domain chatter detection. 1867-1885 - Tarek Iraki, Lukas Morand, Johannes Dornheim, Norbert Link, Dirk Helm:
A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties. 1887-1903
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