Journal of Intelligent Manufacturing
2009 - 2025
Current editor(s): Andrew Kusiak From Springer Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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Volume 36, issue 4, 2025
- Agentic manufacturing system = digital twin + manufacturing pp. 2221-2222

- Andrew Kusiak
- Ontologies for prognostics and health management of production systems: overview and research challenges pp. 2223-2253

- Chiara Franciosi, Yasamin Eslami, Mario Lezoche and Alexandre Voisin
- A review of external sensors for human detection in a human robot collaborative environment pp. 2255-2279

- Zainab Saleem, Fredrik Gustafsson, Eoghan Furey, Marion McAfee and Saif Huq
- Recent advances in human–robot interaction: robophobia or synergy pp. 2281-2307

- Andrius Dzedzickis, Gediminas Vaičiūnas, Karolina Lapkauskaitė, Darius Viržonis and Vytautas Bučinskas
- Hybrid intelligence failure analysis for industry 4.0: a literature review and future prospective pp. 2309-2334

- Mahdi Mokhtarzadeh, Jorge Rodríguez-Echeverría, Ivana Semanjski and Sidharta Gautama
- Cyber-physical systems: a bibliometric analysis of literature pp. 2335-2371

- Nitin Singh, Prabin Kumar Panigrahi, Zuopeng Zhang and Sajjad M. Jasimuddin
- Multi-level joint distributed alignment-based domain adaptation for cross-scenario strip defect recognition pp. 2373-2386

- Kun Liu, Ying Yang, Xiaosong Yang, Jingkai Wang, Weipeng Liu and Haiyong Chen
- Input attribute optimization for thermal deformation of machine-tool spindles using artificial intelligence pp. 2387-2408

- Swami Nath Maurya, Win-Jet Luo, Bivas Panigrahi, Prateek Negi and Pei-Tang Wang
- Spatiotemporal analysis of powder bed fusion melt pool monitoring videos using deep learning pp. 2409-2422

- Richard J. Williams and Swee Leong Sing
- Big GCVAE: decision-making with adaptive transformer model for failure root cause analysis in semiconductor industry pp. 2423-2438

- Kenneth Ezukwoke, Anis Hoayek, Mireille Batton-Hubert, Xavier Boucher, Pascal Gounet and Jérôme Adrian
- Automatic high-frequency induction brazing through an ensembled detection with heterogenous sensor measurements pp. 2439-2459

- Joonhyeok Moon, Min-Gwan Kim, Ok Hyun Kang, Heejong Lee and Ki-Yong Oh
- Visual coating inspection framework via self-labeling and multi-stage deep learning strategies pp. 2461-2478

- Changheon Han, Jiho Lee, Martin B. G. Jun, Sang Won Lee and Huitaek Yun
- Optimization of laser annealing parameters based on bayesian reinforcement learning pp. 2479-2492

- Chung-Yuan Chang, Yen-Wei Feng, Tejender Singh Rawat, Shih-Wei Chen and Albert Shihchun Lin
- Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults pp. 2493-2507

- Chuan Li, Yifan Wu, Manjun Xiong, Shuai Yang and Yun Bai
- Manufacturing process selection based on similarity search: incorporating non-shape information in shape descriptor comparison pp. 2509-2536

- Zhichao Wang, Xiaoliang Yan, Jacob Bjorni, Mahmoud Dinar, Shreyes Melkote and David Rosen
- Optimization of image acquisition by automated white-light interferometers during the inspection of object surfaces pp. 2537-2566

- Björn Schwarze and Stefan Edelkamp
- Automated assembly quality inspection by deep learning with 2D and 3D synthetic CAD data pp. 2567-2582

- Xiaomeng Zhu, Pär Mårtensson, Lars Hanson, Mårten Björkman and Atsuto Maki
- Combining physics-based and data-driven methods in metal stamping pp. 2583-2599

- Amaia Abanda, Amaia Arroyo, Fernando Boto and Miguel Esteras
- A generalisable tool path planning strategy for free-form sheet metal stamping through deep reinforcement and supervised learning pp. 2601-2627

- Shiming Liu, Zhusheng Shi, Jianguo Lin and Hui Yu
- A deep learning model for online prediction of in-process dynamic characteristics of thin-walled complex blade machining pp. 2629-2655

- Zhengtong Cao, Tao Huang, Hongzheng Zhang, Bocheng Wu, Xiao-Ming Zhang and Han Ding
- Defect monitoring of high-power laser-arc hybrid welding process based on an improved channel attention convolutional neural network pp. 2657-2676

- Yue Qiu, Jiang Ping, Leshi Shu, Minjie Song, Deyuan Ma, Xiuhui Yan and Shixuan Li
- Quality evaluation modeling of a DED-processed metallic deposition based on ResNet-50 with few training data pp. 2677-2693

- Hyunmin Park, Yun Seok Kang, Seung-Kyum Choi and Hyung Wook Park
- Qualitative and quantitative characterization of powder bed quality in laser powder-bed fusion additive manufacturing by multi-task learning pp. 2695-2707

- Hao Jiang, Zhibin Zhao, Zilong Zhang, Xingwu Zhang, Chenxi Wang and Xuefeng Chen
- Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning pp. 2709-2726

- Maxim Polomoshnov, Klaus-Martin Reichert, Luca Rettenberger, Martin Ungerer, Gerardo Hernandez-Sosa, Ulrich Gengenbach and Markus Reischl
- An online prediction method for array antenna assembly performance based on digital twin pp. 2727-2748

- Xuepeng Guo, Linyan Liu, HuiFen Wang, Yue Li, XiaoDong Du, JianCheng Shi and Yue Wang
- Digital twin-driven smelting process management method for converter steelmaking pp. 2749-2765

- Tianjie Fu, Shimin Liu and Peiyu Li
- A transfer regression network-based adaptive calibration method for remaining useful life prediction considering individual discrepancies in the degradation process of machinery pp. 2767-2783

- Jiaxian Chen, Dongpeng Li, Ruyi Huang, Zhuyun Chen and Weihua Li
- Steel ball surface inspection using modified DRAEM and machine vision pp. 2785-2801

- Chun-Chin Hsu, Ya-Chen Hsu, Po-Chou Shih, Yong-Qi Yang and Fang-Chih Tien
- Prediction of thin-walled workpiece machining error: a transfer learning approach pp. 2803-2827

- Yu-Yue Yu, Da-Ming Shi, Han Ding and Xiao-Ming Zhang
- Unbalance prediction method of aero-engine saddle rotor based on deep belief networks and GA-BP intelligent learning pp. 2829-2840

- Huilin Wu, Chuanzhi Sun, Qing Lu, Yinchu Wang, Yongmeng Liu, Limin Zou and Jiubin Tan
- A multi scale meta-learning network for cross domain fault diagnosis with limited samples pp. 2841-2861

- Yu Wang and Shujie Liu
- Accurate and energy efficient ad-hoc neural network for wafer map classification pp. 2863-2880

- Ana Pinzari, Thomas Baumela, Liliana Andrade, Maxime Martin, Marcello Coppola and Frédéric Pétrot
- A dynamic inference network (DI-Net) for online fabric defect detection in smart manufacturing pp. 2881-2896

- Shuxuan Zhao, Ray Y. Zhong, Chuqiao Xu, Junliang Wang and Jie Zhang
- Exploring and optimizing deep neural networks for precision defect detection system in injection molding process pp. 2897-2914

- Mohamed EL Ghadoui, Ahmed Mouchtachi and Radouane Majdoul
- Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation pp. 2915-2938

- Jian Zhou, Lianyu Zheng, Wei Fan and Yansheng Cao
Volume 36, issue 3, 2025
- Relational network of innovation ecosystems generated by digital innovation hubs: a conceptual framework for the interaction processes of DIHs from the perspective of collaboration within and between their relationship levels pp. 1505-1545

- Julio C. Serrano-Ruiz, José Ferreira, Ricardo Jardim-Goncalves and Ángel Ortiz
- Intelligent factory layout design framework through collaboration between optimization, simulation, and digital twin pp. 1547-1561

- Seon Han Choi and Byeong Soo Kim
- Cross-domain fusion and embedded refinement-based 6D object pose tracking on textureless objects pp. 1563-1577

- Jichun Wang, Guifang Duan, Yang Wang, Guodong Yi, Liangyu Dong, Zili Wang, Xuewei Zhang and Shuyou Zhang
- Union channel pruning-based U2Net for online surface defect segmentation of aluminum strips in production processes pp. 1579-1602

- Zehua Lv, Yibo Li, Siying Qian, Liuqing Wu and Yi Yang
- Enhancing spatiotemporal predictive learning: an approach with nested attention module pp. 1603-1621

- Shaoping Wang and Ren Han
- An embedded TensorFlow lite model for classification of chip images with respect to chip morphology depending on varying feed pp. 1623-1635

- Yusuf Özçevik and Fikret Sönmez
- Technical language processing for Prognostics and Health Management: applying text similarity and topic modeling to maintenance work orders pp. 1637-1657

- Sarvesh Sundaram and Abe Zeid
- A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles pp. 1659-1688

- Shuai Ma, Jiewu Leng, Pai Zheng, Zhuyun Chen, Bo Li, Weihua Li, Qiang Liu and Xin Chen
- Simulation-based metaheuristic optimization algorithm for material handling pp. 1689-1709

- Carolina Saavedra Sueldo, Ivo Perez Colo, Mariano Paula, Sebastián A. Villar and Gerardo G. Acosta
- Vision based process monitoring in wire arc additive manufacturing (WAAM) pp. 1711-1721

- Jan Franke, Florian Heinrich and Raven T. Reisch
- Human–machine knowledge hybrid augmentation method for surface defect detection based few-data learning pp. 1723-1742

- Yu Gong, Xiaoqiao Wang, Chichun Zhou, Maogen Ge, Conghu Liu and Xi Zhang
- A novel approach to enhance defect detection in wire arc additive manufacturing parts using radiographic testing without surface milling pp. 1743-1760

- Mahjoub El Mountassir, Didier Flotte, Slah Yaacoubi, Eric Riff, Morgan Ferrari, Daniel Chauveau, Clément Bourlet and Sacha Bernet
- Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach pp. 1761-1779

- Jiajun Zhou, Liang Gao, Chao Lu and Xifan Yao
- Fidelity-adaptive evolutionary optimization algorithm for 2D irregular cutting and packing problem pp. 1781-1799

- Yizhe Yang, Bingshan Liu, Xin Li, Qingfeng Jia, Wenyan Duan and Gong Wang
- A kind of intelligent dynamic industrial event knowledge graph and its application in process stability evaluation pp. 1801-1818

- Qingzong Li, Pingyu Jiang, Jianwei Wang, Maolin Yang and Yuqian Yang
- Smart process mapping of powder bed fusion additively manufactured metallic wicks using surrogate modeling pp. 1819-1833

- Mohammad Borumand, Saideep Nannapaneni, Gurucharan Madiraddy, Michael P. Sealy, Sima Esfandiarpour Borujeni and Gisuk Hwang
- A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization pp. 1835-1859

- Steven O. Otieno, Job M. Wambua, Fredrick M. Mwema, Edwell T. Mharakurwa, Tien-Chien Jen and Esther T. Akinlabi
- BCTMSSF: a blockchain consensus-based traceability method for supply chain in smart factory pp. 1861-1877

- Hang Zhao, Kai Hu, Zehui Yuan, Shaowen Yao and Libo Feng
- Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography pp. 1879-1905

- Kaushal Arun Pareek, Daniel May, Peter Meszmer, Mohamad Abo Ras and Bernhard Wunderle
- A novel joint segmentation approach for wafer surface defect classification based on blended network structure pp. 1907-1921

- Zhouzhouzhou Mei, Yuening Luo, Yibo Qiao and Yining Chen
- Virtual metrology for chemical mechanical planarization of semiconductor wafers pp. 1923-1942

- Balamurugan Deivendran, Vishnu Swaroopji Masampally, Naga Ravikumar Varma Nadimpalli and Venkataramana Runkana
- Bayesian inference for multi-label classification for root cause analysis and probe card maintenance decision support and an empirical study pp. 1943-1958

- Chen-Fu Chien and Jia-Yu Peng
- Multiple operational mode prediction at milling tool-tip based on transfer learning pp. 1959-1982

- Kai Zhou, Feng Feng, Jianjian Wang and Pingfa Feng
- Sheet resistance prediction of laser induced graphitic carbon with transformer encoder-enabled contrastive learning pp. 1983-1997

- Yupeng Wei, Gerd Grau and Dazhong Wu
- AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals pp. 1999-2016

- Sean Rooney, Emil Pitz and Kishore Pochiraju
- Development of a melt pool characteristics detection platform based on multi-information fusion of temperature fields and photodiode signals in plasma arc welding pp. 2017-2037

- Zhuangzhuang Mao, Wei Feng, Xiao Han, Heng Ma, Ce Hao, Changmeng Liu and Zhanwei Liu
- In-process surface quality monitoring of the slender workpiece machining with digital twin approach pp. 2039-2053

- Kaibo Lu, Zhen Li and Andrew Longstaff
- A novel curved surface profile monitoring approach based on geometrical-spatial joint feature pp. 2055-2077

- Yiping Shao, Jun Chen, Xiaoli Gu, Jiansha Lu and Shichang Du
- Traditional machine learning and deep learning for predicting melt-pool cross-sectional morphology of laser powder bed fusion additive manufacturing with thermographic monitoring pp. 2079-2104

- Haijie Wang, Bo Li, Saifan Zhang and Fuzhen Xuan
- Machine learning-enabled real-time anomaly detection for electron beam powder bed fusion additive manufacturing pp. 2105-2119

- Davide Cannizzaro, Paolo Antonioni, Francesco Ponzio, Manuela Galati, Edoardo Patti and Santa Cataldo
- Engineering and evaluating an unsupervised predictive maintenance solution: a cold-forming press case-study pp. 2121-2139

- Apostolos Giannoulidis, Anastasios Gounaris, Athanasios Naskos, Nikodimos Nikolaidis and Daniel Caljouw
- Monocrystalline silicon crystal line detection based on the improved YoloX-tiny algorithm pp. 2141-2162

- Yuting She and Hongxin Li
- CowSSL: contrastive open-world semi-supervised learning for wafer bin map pp. 2163-2175

- Insung Baek, Sung Jin Hwang and Seoung Bum Kim
- Knowledge distillation-based information sharing for online process monitoring in decentralized manufacturing system pp. 2177-2192

- Zhangyue Shi, Yuxuan Li and Chenang Liu
- Manifold learning-assisted uncertainty quantification of system parameters in the fiber metal laminates hot forming process pp. 2193-2219

- Xin Wang, Xinchao Jiang, Hu Wang and Guangyao Li
Volume 36, issue 2, 2025
- Prediction of cutting force via machine learning: state of the art, challenges and potentials pp. 703-764

- Meng Liu, Hui Xie, Wencheng Pan, Songlin Ding and Guangxian Li
- Systematic comparison of software agents and Digital Twins: differences, similarities, and synergies in industrial production pp. 765-800

- Lasse M. Reinpold, Lukas P. Wagner, Felix Gehlhoff, Malte Ramonat, Maximilian Kilthau, Milapji S. Gill, Jonathan T. Reif, Vincent Henkel, Lena Scholz and Alexander Fay
- Digital twin for product versus project lifecycles’ development in manufacturing and construction industries pp. 801-831

- F. H. Abanda, N. Jian, S. Adukpo, V. V. Tuhaise and M. B. Manjia
- Non-planar slicing for filled free-form geometries in robot-based FDM pp. 833-851

- Federico Insero, Valentina Furlan and Hermes Giberti
- Study on anti-interference detection of machining surface defects under the influence of complex environment pp. 853-874

- Wei Chen, Bin Zou, Ting Lei, Qinbing Zheng, Chuanzhen Huang, Lei Li and Jikai Liu
- Neural-network-based automatic trajectory adaptation for quality characteristics control in powder compaction pp. 875-895

- Hoomaan MoradiMaryamnegari, Seif-El-Islam Hasseni, Elias Ganthaler, Thomas Villgrattner and Angelika Peer
- Post-processing of powder bed fused stainless steel: micro-machining and micro-electrical discharge machining pp. 897-908

- Andrea Abeni, Mariangela Quarto and Paola Serena Ginestra
- Real-time monitoring and quality assurance for laser-based directed energy deposition: integrating co-axial imaging and self-supervised deep learning framework pp. 909-933

- Vigneashwara Pandiyan, Di Cui, Roland Axel Richter, Annapaola Parrilli and Marc Leparoux
- Online tool condition monitoring in micromilling using LSTM pp. 935-955

- Ashish Manwar, Alwin Varghese, Sumant Bagri and Suhas S. Joshi
- eXplainable artificial intelligence for automatic defect detection in additively manufactured parts using CT scan analysis pp. 957-974

- Harsh Bordekar, Nicola Cersullo, Marco Brysch, Jens Philipp and Christian Hühne
- A component-based design approach for energy flexibility in cyber-physical manufacturing systems pp. 975-1001

- Fadi Assad, Emma J. Rushforth and Robert Harrison
- Improving imbalanced industrial datasets to enhance the accuracy of mechanical property prediction and process optimization for strip steel pp. 1003-1020

- Feifei Li, Anrui He, Yong Song, Chengzhe Shen, Fenjia Wang, Tieheng Yuan, Shiwei Zhang, Xiaoqing Xu, Yi Qiang, Chao Liu, Pengfei Liu and Qiangguo Zhao
- Semi-supervised learning for steel surface inspection using magnetic flux leakage signal pp. 1021-1031

- Jae-Eun Park and Young-Keun Kim
- Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing pp. 1033-1062

- Yifan Qie, Benjamin Schleich and Nabil Anwer
- Thermal-structure finite element simulation system architecture in a cloud-edge-end collaborative environment pp. 1063-1094

- Jialan Liu, Chi Ma and Shilong Wang
- Machine-learning based process monitoring for automated composites manufacturing pp. 1095-1110

- Ahmed Mujtaba, Faisal Islam, Patrick Kaeding, Thomas Lindemann and B. Gangadhara Prusty
- Neural lumped parameter differential equations with application in friction-stir processing pp. 1111-1121

- James Koch, WoongJo Choi, Ethan King, David Garcia, Hrishikesh Das, Tianhao Wang, Ken Ross and Keerti Kappagantula
- A rotary extrusion system with a rectangular-orifice nozzle: toward adaptive resolution in material extrusion additive manufacturing pp. 1123-1139

- Bahar Gharehpapagh, Ugur M. Dilberoglu, Ulas Yaman and Melik Dolen
- Embodied intelligence in manufacturing: leveraging large language models for autonomous industrial robotics pp. 1141-1157

- Haolin Fan, Xuan Liu, Jerry Ying Hsi Fuh, Wen Feng Lu and Bingbing Li
- Human operator decision support for highly transient industrial processes: a reinforcement learning approach pp. 1159-1174

- Jianqi Ruan, Bob Nooning, Ivan Parkes, Wal Blejde, George Chiu and Neera Jain
- Towards scalability for resource reconfiguration in robotic assembly line balancing problems using a modified genetic algorithm pp. 1175-1199

- Marcel Albus, Timothée Hornek, Werner Kraus and Marco F. Huber
- Using GANs to predict milling stability from limited data pp. 1201-1235

- Shahrbanoo Rezaei, Aaron Cornelius, Jaydeep Karandikar, Tony Schmitz and Anahita Khojandi
- Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model pp. 1237-1260

- Zhicheng Xu, Vignesh Selvaraj and Sangkee Min
- A digital solution for CPS-based machining path optimization for CNC systems pp. 1261-1290

- Lipeng Zhang, Haoyu Yu, Chuting Wang, Yi Hu, Wuwei He and Dong Yu
- Optimal data-driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturing pp. 1291-1310

- Giulio Mattera, Alessandra Caggiano and Luigi Nele
- Correction: Optimal data-driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturing pp. 1311-1311

- Giulio Mattera, Alessandra Caggiano and Luigi Nele
- Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time pp. 1313-1339

- Waqar Ahmed Khan, Mahmoud Masoud, Abdelrahman E. E. Eltoukhy and Mehran Ullah
- Automated porosity segmentation in laser powder bed fusion part using computed tomography: a validity study pp. 1341-1361

- Catherine Desrosiers, Morgan Letenneur, Fabrice Bernier, Nicolas Piché, Benjamin Provencher, Farida Cheriet, François Guibault and Vladimir Brailovski
- Causal deep learning for explainable vision-based quality inspection under visual interference pp. 1363-1384

- Tianbiao Liang, Tianyuan Liu, Junliang Wang, Jie Zhang and Pai Zheng
- Multi-objective sustainable production planning for a hybrid multi-stage manufacturing-remanufacturing system with grade-based classification of recovered and remanufactured products pp. 1385-1407

- Houria Lahmar, Mohammed Dahane, Kinza Nadia Mouss and Mohammed Haoues
- Differential contrast guidance for aeroengine fault diagnosis with limited data pp. 1409-1427

- Wenhui He, Lin Lin, Song Fu, Changsheng Tong and Lizheng Zu
- Multi-label oxide classification in float-zone silicon crystal growth using transfer learning and asymmetric loss pp. 1429-1444

- Tingting Chen, Guido Tosello and Matteo Calaon
- Flexible dual-mode sensor with accurate contact pressure sensing and contactless distance detection functions for robotic perception pp. 1445-1457

- Zhijian Chen, Yancheng Wang, Zhongtan Zhang, Deqing Mei and Weijie Liu
- Digital twin-driven real-time suppression of delamination damage in CFRP drilling pp. 1459-1476

- Jielin Chen, Shuang Li, Hanwei Teng, Xiaolong Leng, Changping Li, Rendi Kurniawan and Tae Jo Ko
- NG-Net: No-Grasp annotation grasp detection network for stacked scenes pp. 1477-1490

- Min Shi, Jingzhao Hou, Zhaoxin Li and Dengming Zhu
- Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection pp. 1491-1503

- Elke Schlager, Andreas Windisch, Lukas Hanna, Thomas Klünsner, Elias Jan Hagendorfer and Tamara Feil
Volume 36, issue 1, 2025
- Generative artificial intelligence in smart manufacturing pp. 1-3

- Andrew Kusiak
- 3DWS: reliable segmentation on intelligent welding systems with 3D convolutions pp. 5-18

- J. Fernández, D. Valerieva, L. Higuero and B. Sahelices
- The asset administration shell as enabler for predictive maintenance: a review pp. 19-33

- Jhonny Rodriguez Rahal, Alexander Schwarz, Benjamín Sahelices, Ronny Weis and Simon Duque Antón
- A survey on HoloLens AR in support of human-centric intelligent manufacturing pp. 35-59

- Wei Fang, Tienong Zhang, Lixi Chen and Hao Hu
- Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems pp. 61-93

- Vincenzo Varriale, Antonello Cammarano, Francesca Michelino and Mauro Caputo
- Ontology of 3D virtual modeling in digital twin: a review, analysis and thinking pp. 95-145

- Yuchen Wang, Xinheng Wang, Ang Liu, Junqing Zhang and Jinhua Zhang
- DL-MSCNN: a general and lightweight framework for fault diagnosis with limited training samples pp. 147-166

- Xiaorui Shao, Ahyoung Lee and Chang-Soo Kim
- High accuracy roll forming springback prediction model of SVR based on SA-PSO optimization pp. 167-183

- Jingsheng He, Shiyi Cu, Hui Xia, Yong Sun, Wenchao Xiao and Yinwang Ren
- Q-learning-based multi-objective particle swarm optimization with local search within factories for energy-efficient distributed flow-shop scheduling problem pp. 185-208

- Wenqiang Zhang, Huili Geng, Chen Li, Mitsuo Gen, Guohui Zhang and Miaolei Deng
- Deep learning-based conductive particle inspection for TFT-LCDs inspired by parametric space envelope pp. 209-219

- Chen Luo, Tingxiao Fan, Yan Xia, Yijun Zhou, Lei Jia and Baocheng Hui
- Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning pp. 221-242

- Yun Yang, Jun Lv, Yukun Xiao, Xiaobing Feng and Zhengchun Du
- Eco-friendly smart design strategy for integrated semiconductor processes pp. 243-257

- Chih-Yao Lin and Pin-Ru Chen
- Multi-source wafer map retrieval based on contrastive learning for root cause analysis in semiconductor manufacturing pp. 259-270

- Wei-Jyun Hong, Chia-Yu Shen and Pei-Yuan Wu
- Wafer map defect recognition based on multi-scale feature fusion and attention spatial pyramid pooling pp. 271-284

- Shouhong Chen, Zhentao Huang, Tao Wang, Xingna Hou and Jun Ma
- Investigation on eXtreme Gradient Boosting for cutting force prediction in milling pp. 285-301

- Thomas Heitz, Ning He, Addi Ait-Mlouk, Daniel Bachrathy, Ni Chen, Guolong Zhao and Liang Li
- CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction pp. 303-317

- Yuanzhao Shao and Yonghong Song
- Shape prior guided defect pattern classification and segmentation in wafer bin maps pp. 319-330

- Rui Wang, Songhao Wang and Ben Niu
- Tool wear classification in precision machining using distance metrics and unsupervised machine learning pp. 331-355

- Debasish Mishra, Utsav Awasthi, Krishna R. Pattipati and George M. Bollas
- Natural language processing (NLP) and association rules (AR)-based knowledge extraction for intelligent fault analysis: a case study in semiconductor industry pp. 357-372

- Zhiqiang Wang, Kenneth Ezukwoke, Anis Hoayek, Mireille Batton-Hubert and Xavier Boucher
- Correction: Natural language processing (NLP) and association rules (AR)-based knowledge extraction for intelligent fault analysis: a case study in semiconductor industry pp. 373-373

- Zhiqiang Wang, Kenneth Ezukwoke, Anis Hoayek, Mireille Batton-Hubert and Xavier Boucher
- Monitoring and control framework for intelligent real-time optimization of printing sequence of powder bed fusion pp. 375-398

- Ehsan Malekipour, Hazim El-Mounayri and Devon Hagedorn-Hansen
- An imbalanced data learning approach for tool wear monitoring based on data augmentation pp. 399-420

- Bowen Zhang, Xianli Liu, Caixu Yue, Shaoyang Liu, Xuebing Li, Steven Y. Liang and Lihui Wang
- Towards automated remote sizing and hot steel manufacturing with image registration and fusion pp. 421-438

- Yueda Lin, Peng Wang, Zichen Wang, Sardar Ali and Lyudmila Mihaylova
- Correction: Towards automated remote sizing and hot steel manufacturing with image registration and fusion pp. 439-439

- Yueda Lin, Peng Wang, Zichen Wang, Sardar Ali and Lyudmila Mihaylova
- An intelligent prediction method of surface residual stresses based on multi-source heterogeneous data pp. 441-457

- Zehua Wang, Sibao Wang, Shilong Wang, Zengya Zhao and Zhifeng Tian
- Efficient quality variable prediction of industrial process via fuzzy neural network with lightweight structure pp. 459-474

- Jie Wang, Shiwen Xie, Yongfang Xie and Xiaofang Chen
- Dual prototypical contrastive network: a novel self-supervised method for cross-domain few-shot fault diagnosis pp. 475-490

- Xiao Zhang, Weiguo Huang, Rui Wang, Jun Wang and Changqing Shen
- Machine learning guided design of experiments to accelerate exploration of a material extrusion process parameter space pp. 491-508

- Devin Young, Britannia Vondrasek and Michael W. Czabaj
- Research on flexible job shop scheduling problem with AGV using double DQN pp. 509-535

- Minghai Yuan, Liang Zheng, Hanyu Huang, Kaiwen Zhou, Fengque Pei and Wenbin Gu
- A signal-to-image fault classification method based on multi-sensor data for robotic grinding monitoring pp. 537-550

- Zhe Li, Kexin Liu, Xudong Wang, Xiaofang Yuan, He Xie and Yaonan Wang
- A digital twin-driven cutting force adaptive control approach for milling process pp. 551-568

- Xin Tong, Qiang Liu, Yinuo Zhou and Pengpeng Sun
- Digital twin-based real-time energy optimization method for production line considering fault disturbances pp. 569-593

- Tangbin Xia, He Sun, Yutong Ding, Dongyang Han, Wei Qin, Joachim Seidelmann and Lifeng Xi
- Event-triggered hierarchical learning control of air-breathing hypersonic vehicles with predefined-time convergence pp. 595-618

- Guan Wang and Hongwei Xia
- A novel transfer learning approach based on deep degradation feature adaptive alignment for remaining useful life prediction with multi-condition data pp. 619-637

- Yi Lyu, Zhenfei Wen and Aiguo Chen
- Deformation by design: data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming pp. 639-659

- Siva Teja Sala, Frederic E. Bock, Dominik Pöltl, Benjamin Klusemann, Norbert Huber and Nikolai Kashaev
- Acoustic emission reflection signal classification of PVDF-type AE sensor using convolutional neural network-transfer learning pp. 661-680

- Hyo Jeong Kim, Ju Heon Lee, Sin Yeop Lee, Hee Hwan Lee and Seoung Hwan Lee
- Supply chain modelling considering blockchain improvement and publicity with fairness concern pp. 681-702

- Yuyan Wang, Qiuchen Wu, T. C. E. Cheng and Yulin Sun
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