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ORCIDJournal of Intelligent Manufacturing, Volume 33
Volume 33, Number 1, January 2022
- Parames Chutima
:
A comprehensive review of robotic assembly line balancing problem. 1-34 - Hien Nguyen Ngoc, Ganix Lasa, Ion Iriarte:
Human-centred design in industry 4.0: case study review and opportunities for future research. 35-76 - Shengrui Yu, Tianfeng Zhang, Yun Zhang, Zhigao Huang, Huang Gao, Wen Han, Lih-Sheng Turng, Huamin Zhou:
Intelligent setting of process parameters for injection molding based on case-based reasoning of molding features. 77-89 - Lei Zhou, Tianjian Li, Wenjia Zheng, Zhongdian Zhang, Zhenglong Lei, Laijun Wu, Shiliang Zhu, Wenming Wang:
Online monitoring of resistance spot welding electrode wear state based on dynamic resistance. 91-101 - Pulin Li, Kai Cheng, Pingyu Jiang, Kanet Katchasuwanmanee:
Investigation on industrial dataspace for advanced machining workshops: enabling machining operations control with domain knowledge and application case studies. 103-119 - Yun Chen, Huaizhong Li, Liang Hou, Xiangjian Bu, Shaogan Ye, Ding Chen:
Chatter detection for milling using novel p-leader multifractal features. 121-135 - Çagla Cergibozan, Ali Serdar Tasan:
Genetic algorithm based approaches to solve the order batching problem and a case study in a distribution center. 137-149 - Ke Zhao, Hongkai Jiang, Zhenghong Wu, Tengfei Lu:
A novel transfer learning fault diagnosis method based on Manifold Embedded Distribution Alignment with a little labeled data. 151-165 - Chang-Ho Lee, Dong-Hee Lee, Young-Mok Bae, Seung-Hyun Choi, Ki-Hun Kim, Kwang-Jae Kim:
Approach to derive golden paths based on machine sequence patterns in multistage manufacturing process. 167-183 - Xuejun Zhao, Yong Qin, Changbo He, Limin Jia:
Underdetermined blind source extraction of early vehicle bearing faults based on EMD and kernelized correlation maximization. 185-201 - Andrés Bustillo, Roberto Reis, Alisson R. Machado, Danil Yurievich Pimenov:
Improving the accuracy of machine-learning models with data from machine test repetitions. 203-221 - Xu Zhang, Zhixue Liao, Lichao Ma, Jin Yao:
Hierarchical multistrategy genetic algorithm for integrated process planning and scheduling. 223-246 - Yuqing Zhou, Bintao Sun, Weifang Sun, Zhi Lei:
Tool wear condition monitoring based on a two-layer angle kernel extreme learning machine using sound sensor for milling process. 247-258 - Christian Kubik, Sebastian Michael Knauer, Peter Groche:
Smart sheet metal forming: importance of data acquisition, preprocessing and transformation on the performance of a multiclass support vector machine for predicting wear states during blanking. 259-282 - Hasan Tercan, Philipp Deibert, Tobias Meisen:
Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer. 283-292 - Matteo Bugatti, Bianca Maria Colosimo:
Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis. 293-309 - Olumide Emmanuel Oluyisola, Swapnil Bhalla, Fabio Sgarbossa, Jan Ola Strandhagen:
Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study. 311-332 - Johannes Dornheim, Lukas Morand, Samuel Zeitvogel, Tarek Iraki, Norbert Link, Dirk Helm:
Deep reinforcement learning methods for structure-guided processing path optimization. 333-352
Volume 33, Number 2, February 2022
- Christian Spreafico, Davide Russo, Riccardo Degl'Innocenti:
Laser pyrolysis in papers and patents. 353-385 - Chengmin Zhou, Bingding Huang, Pasi Fränti:
A review of motion planning algorithms for intelligent robots. 387-424 - Chenxi Yuan, Guoyan Li, Sagar V. Kamarthi, Xiaoning Jin, Mohsen Moghaddam:
Trends in intelligent manufacturing research: a keyword co-occurrence network based review. 425-439 - Cinzia Giannetti, Aniekan Essien:
Towards scalable and reusable predictive models for cyber twins in manufacturing systems. 441-455 - Sebastian Larsen, Paul A. Hooper:
Deep semi-supervised learning of dynamics for anomaly detection in laser powder bed fusion. 457-471 - Tarek Iraki, Norbert Link:
Generative models for capturing and exploiting the influence of process conditions on process curves. 473-492 - Benjamin James Ralph, Marcel Sorger, Karin Hartl, Andreas Schwarz-Gsaxner, Florian Messner, Martin Stockinger:
Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning. 493-518 - Ruihuan Ge, Joseph Flynn:
A computational method for detecting aspect ratio and problematic features in additive manufacturing. 519-535 - Daria Leiber, David Eickholt, Anh-Tu Vuong, Gunther Reinhart:
Simulation-based layout optimization for multi-station assembly lines. 537-554 - Alexander Gerling, Holger Ziekow, Andreas Hess, Ulf Schreier, Christian Seiffer, Djaffar Ould Abdeslam:
Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric. 555-573 - Marco Wurster, Marius Michel, Marvin Carl May, Andreas Kuhnle, Nicole Stricker, Gisela Lanza:
Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning. 575-591 - Xiaoqian Huang, Mohamad Halwani, Rajkumar Muthusamy, Abdulla Ayyad, Dewald Swart, Lakmal D. Seneviratne, Dongming Gan, Yahya H. Zweiri:
Real-time grasping strategies using event camera. 593-615 - Shiori Gondo, Hirohiko Arai:
Effect and control of path parameters on thickness distribution of cylindrical cups formed via multi-pass conventional spinning. 617-635
Volume 33, Number 3, March 2022
- Andrew Kusiak:
Universal manufacturing: data, resiliency, and sustainability linkages. 637-638 - Fernando José Gómez Paredes, Moacir Godinho Filho, Matthias Thürer, Nuno O. Fernandes, Charbel José Chiappetta Jabbour:
Factors for choosing production control systems in make-to-order shops: a systematic literature review. 639-674 - Yanan Pan, Renke Kang, Zhigang Dong, Wenhao Du, Sen Yin, Yan Bao:
On-line prediction of ultrasonic elliptical vibration cutting surface roughness of tungsten heavy alloy based on deep learning. 675-685 - Jingchang Li, Longchao Cao, Jiexiang Hu, Minhua Sheng, Qi Zhou, Peng Jin:
A prediction approach of SLM based on the ensemble of metamodels considering material efficiency, energy consumption, and tensile strength. 687-702 - Abdelhakim Khatab, Claver Diallo, El Houssaine Aghezzaf, Uday Venkatadri:
Optimization of the integrated fleet-level imperfect selective maintenance and repairpersons assignment problem. 703-718 - Omar Ezzat, Khaled Medini, Xavier Boucher, Xavier Delorme:
A clustering approach for modularizing service-oriented systems. 719-734 - Yankai Wang, Shilong Wang, Bo Yang, Bo Gao, Sibao Wang:
An effective adaptive adjustment method for service composition exception handling in cloud manufacturing. 735-751 - Yang Hui, Xuesong Mei, Gedong Jiang, Fei Zhao, Ziwei Ma, Tao Tao:
Assembly quality evaluation for linear axis of machine tool using data-driven modeling approach. 753-769 - Omid Davtalab, Ali Kazemian, Xiao Yuan, Behrokh Khoshnevis:
Automated inspection in robotic additive manufacturing using deep learning for layer deformation detection. 771-784 - Wenhan Fu, Chen Fu Chien, Lizhen Tang:
Bayesian network for integrated circuit testing probe card fault diagnosis and troubleshooting to empower Industry 3.5 smart production and an empirical study. 785-798 - Rui Wang, Xiangyu Guo, Shisheng Zhong, Gaolei Peng, Lin Wang:
Decision rule mining for machining method chains based on rough set theory. 799-807 - Yiwei Wang, Jian Zhou, Lianyu Zheng, Christian Gogu:
An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies. 809-830 - Chia-Yu Hsu, Ju-Chien Chien:
Ensemble convolutional neural networks with weighted majority for wafer bin map pattern classification. 831-844 - Vivek Mahato, Muhannad Ahmed Obeidi, Dermot Brabazon, Pádraig Cunningham:
Detecting voids in 3D printing using melt pool time series data. 845-852 - Hanqiao Huang, Chang Luo, Bo Han:
Prescribed performance fuzzy back-stepping control of a flexible air-breathing hypersonic vehicle subject to input constraints. 853-866 - Congcong Ye, Jixiang Yang, Han Ding:
Bagging for Gaussian mixture regression in robot learning from demonstration. 867-879 - Kaiser Asif, Lu Zhang, Sybil Derrible, J. Ernesto Indacochea, Didem Ozevin, Brian D. Ziebart:
Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs. 881-895 - Ahmed Ktari, Mohamed El Mansori:
Digital twin of functional gating system in 3D printed molds for sand casting using a neural network. 897-909
Volume 33, Number 4, April 2022
- Constantin Waubert de Puiseau, Richard Meyes, Tobias Meisen:
On reliability of reinforcement learning based production scheduling systems: a comparative survey. 911-927 - Jingran Liang, Zhengning Wu, Chenye Zhu, Zhi-Hai Zhang:
An estimation distribution algorithm for wave-picking warehouse management. 929-942 - Zengya Zhao, Sibao Wang, Zehua Wang, Shilong Wang, Chi Ma, Bo Yang:
Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: a case study in five-axis machining. 943-952 - Junqi Liu, Zeqiang Zhang, Feng Chen, Silu Liu, Lixia Zhu:
A novel hybrid immune clonal selection algorithm for the constrained corridor allocation problem. 953-972 - Huanjie Wang, Xiwei Bai, Jie Tan, Jiechao Yang:
Deep prototypical networks based domain adaptation for fault diagnosis. 973-983 - Asli Çelik, Ayhan Küçükmanisa, Aydin Sümer, Aysun Tasyapi Çelebi, Oguzhan Urhan:
A real-time defective pixel detection system for LCDs using deep learning based object detectors. 985-994 - Heqi Xu, Qingyang Liu, Jazzmin Casillas, Mei Mcanally, Noshin Mubtasim, Lauren S. Gollahon, Dazhong Wu, Changxue Xu:
Prediction of cell viability in dynamic optical projection stereolithography-based bioprinting using machine learning. 995-1005 - Saksham Jain, Gautam Seth, Arpit Paruthi, Umang Soni, Girish Kumar:
Synthetic data augmentation for surface defect detection and classification using deep learning. 1007-1020 - Robson Flavio Castro, Moacir Godinho Filho, Roberto Fernandes Tavares Neto:
Dispatching method based on particle swarm optimization for make-to-availability. 1021-1030 - Rubén Medina, Jean Carlo Macancela, Pablo Lucero, Diego Cabrera, René-Vinicio Sánchez, Mariela Cerrada:
Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM. 1031-1055 - Yi Zhang, Peng Peng, Chongdang Liu, Yanyan Xu, Heming Zhang:
A sequential resampling approach for imbalanced batch process fault detection in semiconductor manufacturing. 1057-1072 - Jingchao Jiang, Yi Xiong, Zhiyuan Zhang, David W. Rosen:
Machine learning integrated design for additive manufacturing. 1073-1086 - Matthias Kaltenbrunner, Maria Anna Huka, Manfred Gronalt:
Heuristic based approach for short term production planning in highly automated customer oriented pallet production. 1087-1098 - Tobias Schlosser, Michael Friedrich, Frederik Beuth, Danny Kowerko:
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks. 1099-1123 - Patrick G. Mongan, Vedant Modi, John McLaughlin, Eoin P. Hinchy, Ronan M. O'Higgins, Noel P. O'Dowd, Conor T. McCarthy:
Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning. 1125-1138 - Baifan Zhou, Tim Pychynski, Markus Reischl, Evgeny Kharlamov, Ralf Mikut:
Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding. 1139-1163 - Haochen Mu, Joseph Polden, Yuxing Li, Fengyang He, Chunyang Xia, Zengxi Pan:
Layer-by-layer model-based adaptive control for wire arc additive manufacturing of thin-wall structures. 1165-1180 - Xiuli Wu, Junjian Peng, Xiao Xiao, Shaomin Wu:
Correction to: An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading. 1181-1188
Volume 33, Number 5, June 2022
- Chia-Yen Lee, Chen-Fu Chien:
Pitfalls and protocols of data science in manufacturing practice. 1189-1207 - Mouhamadou Mansour Mbow, Christelle Grandvallet, Frédéric Vignat, Philippe Rene Marin, Nicolas Perry, Franck Pourroy:
Mathematization of experts knowledge: example of part orientation in additive manufacturing. 1209-1227 - Yiying Zhang, Zhigang Jin:
Comprehensive learning Jaya algorithm for engineering design optimization problems. 1229-1253 - Jinping Liu, Jie Wang, Xianfeng Liu, Tianyu Ma, Zhaohui Tang:
MWRSPCA: online fault monitoring based on moving window recursive sparse principal component analysis. 1255-1271 - Raghav Prasad Parouha, Pooja Verma:
An innovative hybrid algorithm for bound-unconstrained optimization problems and applications. 1273-1336 - Lenin Nagarajan, Siva Kumar Mahalingam, Jayakrishna Kandasamy, Selvakumar Gurusamy:
A novel approach in selective assembly with an arbitrary distribution to minimize clearance variation using evolutionary algorithms: a comparative study. 1337-1354 - Mingxing Li, Ray Y. Zhong, Ting Qu, George Q. Huang:
Spatial-temporal out-of-order execution for advanced planning and scheduling in cyber-physical factories. 1355-1372 - Feiyang Li, Nian Cai, Xueliang Deng, Jiahao Li, Jianfa Lin, Han Wang:
Serial number inspection for ceramic membranes via an end-to-end photometric-induced convolutional neural network framework. 1373-1392 - Sinan Uguz, Osman Ipek:
Prediction of the parameters affecting the performance of compact heat exchangers with an innovative design using machine learning techniques. 1393-1417 - Runquan Xiao, Yanling Xu, Zhen Hou, Chao Chen, Shanben Chen:
An automatic calibration algorithm for laser vision sensor in robotic autonomous welding system. 1419-1432 - Galina A. Samigulina, Zarina I. Samigulina:
Diagnostics of industrial equipment and faults prediction based on modified algorithms of artificial immune systems. 1433-1450 - Reza Vatankhah Barenji:
A blockchain technology based trust system for cloud manufacturing. 1451-1465 - Chunyang Xia, Zengxi Pan, Joseph Polden, Huijun Li, Yanling Xu, Shanben Chen:
Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning. 1467-1482 - Yu Wang, Mingkai Zhang, Xiaowei Tang, Fangyu Peng, Rong Yan:
A kMap optimized VMD-SVM model for milling chatter detection with an industrial robot. 1483-1502 - Shirine El Zaatari, Yuqi Wang, Yudie Hu, Weidong Li:
An improved approach of task-parameterized learning from demonstrations for cobots in dynamic manufacturing. 1503-1519 - Yuanju Qu, Zengtao Hou:
Degradation principle of machines influenced by maintenance. 1521-1530 - Mohamed Elhefnawy, Ahmed Ragab, Mohamed-Salah Ouali:
Fault classification in the process industry using polygon generation and deep learning. 1531-1544 - Penglei Dai, Mahdi Hassan, Xuerong Sun, Ming Zhang, Zhengwei Bian, Dikai Liu:
A framework for multi-robot coverage analysis of large and complex structures. 1545-1560
Volume 33, Number 6, August 2022
- David Cemernek, Sandra Cemernek, Heimo Gursch, Ashwini Pandeshwar, Thomas Leitner, Matthias Berger, Gerald Klösch, Roman Kern:
Machine learning in continuous casting of steel: a state-of-the-art survey. 1561-1579 - Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori, Owusu Nyarko-Boateng:
Applications of artificial intelligence in engineering and manufacturing: a systematic review. 1581-1601 - Farzana Zahid, Awais Tanveer, Matthew M. Y. Kuo, Roopak Sinha:
A systematic mapping of semi-formal and formal methods in requirements engineering of industrial Cyber-Physical systems. 1603-1638 - Hongjian Wu, Shaowu Liu, Xinliang Xie, Yicha Zhang, Hanlin Liao, Sihao Deng:
A framework for a knowledge based cold spray repairing system. 1639-1647 - Xinyu Suo, Jian Liu, Licheng Dong, Shengfeng Chen, Enhui Lu, Chen Ning:
A machine vision-based defect detection system for nuclear-fuel rod groove. 1649-1663 - Shanmugasivam Pillai, Prahlad Vadakkepat:
Deep learning for machine health prognostics using Kernel-based feature transformation. 1665-1680 - Xin Ni, Ahmed Samet, Denis Cavallucci:
Similarity-based approach for inventive design solutions assistance. 1681-1698 - Yanning Sun, Wei Qin, Zilong Zhuang:
Nonparametric-copula-entropy and network deconvolution method for causal discovery in complex manufacturing systems. 1699-1713 - Tae San Kim, Jong Wook Lee, Won Kyung Lee, So Young Sohn:
Novel method for detection of mixed-type defect patterns in wafer maps based on a single shot detector algorithm. 1715-1724 - Zhao Peng, Huan Zhang, Hongtao Tang, Yue Feng, Weiming Yin:
Research on flexible job-shop scheduling problem in green sustainable manufacturing based on learning effect. 1725-1746 - Minyoung Lee, Joohyoung Jeon, Hongchul Lee:
Explainable AI for domain experts: a post Hoc analysis of deep learning for defect classification of TFT-LCD panels. 1747-1759 - Seokgi Lee, Hyun Woo Jeon, Mona Issabakhsh, Ahmad Ebrahimi:
An electric forklift routing problem with battery charging and energy penalty constraints. 1761-1777 - Angel-Iván García-Moreno:
A fast method for monitoring molten pool in infrared image streams using gravitational superpixels. 1779-1794 - Mustufa Haider Abidi, Hisham Alkhalefah, Usama Umer:
Fuzzy harmony search based optimal control strategy for wireless cyber physical system with industry 4.0. 1795-1812 - Yunhan Kim, Taekyum Kim, Byeng D. Youn, Sung-Hoon Ahn:
Machining quality monitoring (MQM) in laser-assisted micro-milling of glass using cutting force signals: an image-based deep transfer learning. 1813-1828 - Zheng Xiao, Zhenan Wang, Deng Liu, Hui Wang:
A path planning algorithm for PCB surface quality automatic inspection. 1829-1841 - Hong-Seok Park, Dinh Son Nguyen, Thai Le-Hong, Xuan Van Tran:
Machine learning-based optimization of process parameters in selective laser melting for biomedical applications. 1843-1858 - Madhusudanan Navinchandran, Michael Sharp, Michael P. Brundage, Thurston Sexton:
Discovering critical KPI factors from natural language in maintenance work orders. 1859-1877
Volume 33, Number 7, October 2022
- Hasan Tercan, Tobias Meisen:
Machine learning and deep learning based predictive quality in manufacturing: a systematic review. 1879-1905 - Max Schwenzer, Sebastian Stemmler, Muzaffer Ay, Adrian Karl Rüppel, Thomas Bergs, Dirk Abel:
Model predictive force control in milling based on an ensemble Kalman filter. 1907-1919 - Eliana Giovannitti, Sayyid Shahab Nabavi, Giovanni Squillero, Alberto Tonda:
A virtual sensor for backlash in robotic manipulators. 1921-1937 - Shahed Mahmud, Ripon K. Chakrabortty, Alireza Abbasi, Michael J. Ryan:
Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems. 1939-1966 - Antonio Costa, Gianluca Buffa, Dina Palmeri, Gaetano Pollara, Livan Fratini:
Hybrid prediction-optimization approaches for maximizing parts density in SLM of Ti6Al4V titanium alloy. 1967-1989 - Andrzej Maciol, Piotr Maciol:
The use of Fuzzy rule-based systems in the design process of the metallic products on example of microstructure evolution prediction. 1991-2012 - Marco Brysch, Mohammad Bahar, Hans Christoph Hohensee, Michael Sinapius:
Single system for online monitoring and inspection of automated fiber placement with object segmentation by artificial neural networks. 2013-2025 - Christopher Hagedorn, Johannes Huegle, Rainer Schlosser:
Understanding unforeseen production downtimes in manufacturing processes using log data-driven causal reasoning. 2027-2043 - Gianluca Trotta, Stefania Cacace, Quirico Semeraro:
Process optimization via confidence region: a case study from micro-injection molding. 2045-2057 - Jelle Adan:
A hybrid genetic algorithm for parallel machine scheduling with setup times. 2059-2073 - Martin Szarski, Sunita Chauhan:
An unsupervised defect detection model for a dry carbon fiber textile. 2075-2092 - Aniruddha Gaikwad, Tammy Chang, Brian Giera, Nicholas W. Watkins, Saptarshi Mukherjee, Andrew Pascall, David Stobbe, Prahalada Rao:
In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning. 2093-2117 - Michael Beck, Michael Layh, Markus Nebauer, Bernd R. Pinzer:
A novel tracking system for the iron foundry field based on deep convolutional neural networks. 2119-2128 - Patrick Link, Miltiadis Poursanidis, Jochen Schmid, Rebekka Zache, Martin von Kurnatowski, Uwe Teicher, Steffen Ihlenfeldt:
Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing. 2129-2142 - Philipp Niemietz, Mia J. K. Kornely, Daniel Trauth, Thomas Bergs:
Relating wear stages in sheet metal forming based on short- and long-term force signal variations. 2143-2155 - Marius Wenning, Anton Akira Backhaus, Tobias Adlon, Peter Burggräf:
Testing the reliability of monocular obstacle detection methods in a simulated 3D factory environment. 2157-2165 - Nishant Ojal, Brian Giera, Kyle T. Devlugt, Adam W. Jaycox, Alexander Blum:
A universal method to compare parts from STEP files. 2167-2178 - Jian Qin, Yipeng Wang, Jialuo Ding, Stewart Williams:
Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning. 2179-2191
Volume 33, Number 8, December 2022
- Wai Sze Yip, Suet To, Hongting Zhou:
Current status, challenges and opportunities of sustainable ultra-precision manufacturing. 2193-2205 - Jinyang Jiao, Ming Zhao, Jing Lin, Kaixuan Liang, Chuancang Ding:
A mixed adversarial adaptation network for intelligent fault diagnosis. 2207-2222 - Wangwang Huang, Xuesong Mei, Gedong Jiang, Dongxiang Hou, Yifei Bi, Yuyan Wang:
An on-machine tool path generation method based on hybrid and local point cloud registration for laser deburring of ceramic cores. 2223-2238 - Yong Ren, Qian Wang:
Gaussian-process based modeling and optimal control of melt-pool geometry in laser powder bed fusion. 2239-2256 - Abtin Djavadifar, John Brandon Graham-Knight, Marian Körber, Patricia Lasserre, Homayoun Najjaran:
Automated visual detection of geometrical defects in composite manufacturing processes using deep convolutional neural networks. 2257-2275 - Ning Ge, Guanghao Li, Li Zhang, Yi Liu:
Failure prediction in production line based on federated learning: an empirical study. 2277-2294 - Liqiao Xia, Pai Zheng, Xiao Huang, Chao Liu:
A novel hypergraph convolution network-based approach for predicting the material removal rate in chemical mechanical planarization. 2295-2306 - Jorge L. Alonso-Perez, Selene L. Cardenas-Maciel, Balter Trujillo-Navarrete, Edgar A. Reynoso-Soto, Nohé R. Cázarez-Castro:
An approach for designing smart manufacturing for the research and development of dye-sensitize solar cell. 2307-2320 - Dayuan Wu, Ping Yan, You Guo, Han Zhou, Jian Chen:
A gear machining error prediction method based on adaptive Gaussian mixture regression considering stochastic disturbance. 2321-2339 - Kuo Lu, Jin Xie, Risen Wang, Lei Li, Wenzhe Li, Yuning Jiang:
A closed-loop intelligent adjustment of process parameters in precise and micro hot-embossing using an in-process optic detection. 2341-2355 - Chih-Kai Cheng, Hung-Yin Tsai:
Enhanced detection of diverse defects by developing lighting strategies using multiple light sources based on reinforcement learning. 2357-2369 - Slim Zidi, Nadia Hamani, Lyes Kermad:
New metrics for measuring supply chain reconfigurability. 2371-2392 - Aman Kumar, Binil Starly:
"FabNER": information extraction from manufacturing process science domain literature using named entity recognition. 2393-2407 - Kyu Tae Park, Sang Ho Lee, Sang Do Noh:
Information fusion and systematic logic library-generation methods for self-configuration of autonomous digital twin. 2409-2439 - Shixu Sun, Xiaofeng Hu, Yingchao Liu:
An imbalanced data learning method for tool breakage detection based on generative adversarial networks. 2441-2455 - Yinhua Liu, Wenzheng Zhao, Tim Lutz, Xiaowei Yue:
Task allocation and coordinated motion planning for autonomous multi-robot optical inspection systems. 2457-2470 - Mohamed Ismail, Noha A. Mostafa, Ahmed El-Assal:
Quality monitoring in multistage manufacturing systems by using machine learning techniques. 2471-2486 - Retraction Note: economic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicles. 2487
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