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Content
October 2026, Volume 37, Issue 10
- 3921-3955 Collaborative automation in factories of the future: review and survey
by Praditya Ajidarma & Shimon Y. Nof - 3957-3978 Augmentor: a cognitive-inspired approach for context-aware adaptive learning with human guidance
by Hoa Thi Nguyen & Øystein Haugen & Einar Broch Johnsen - 3979-3994 Density-aware multi-modal feature fusion for wafer map defect classification in semiconductor manufacturing
by Wei Zhao & Yongkang Liu & Yuandong Gu & Xiupeng Shi - 3995-4022 Multimodal deep learning-based on and off-axis melt pool monitoring for layer height and surface metrology predictions in directed energy deposition
by Reza Asadi & Aapo Ylä-Autio & Olli Hermanni Wiikinkoski & Iñigo Flores Ituarte - 4023-4051 Adaptive learning strategies for addressing chamber variations in real-time endpoint detection of semiconductor plasma etching
by Chae Sun Kim & Hae Rang Roh & Yongseok Lee & Yongsin Park & Chanmin Lee & Jong Min Lee - 4053-4084 Toward human-centric Industry 5.0: a framework for cognitive workload assessment in maintenance and assembly
by Micaela Vitti & Angelica Cotruvo & Francesco Facchini - 4085-4104 A method for reconstructing large-scale part models based on feature point cloud data
by Jinfeng Liu & Zhilong Cheng & Zhanhu Zhang & Xiaohu Zhang & Yu Chen & Yang Xie & Xiaojun Liu - 4105-4130 CNN-BiLSTM-attention based synchronous prediction model for multi-stand rolling force and deformation resistance in cold rolling
by Zhixuan Wang & Ji Zhang & Qi Lu & Zhenhua Bai - 4131-4147 Automatic melt pool tracking and segmentation in laser powder bed fusion using X-ray image sequence
by Ruiyuan Zhang & Maede Maftouni & Jihoon Chung & Bo Shen & Rongxuan Wang & Andrew Chung Chee Law & Prahalada Rao & Zhenyu James Kong - 4149-4166 Lightweight explainable photonic conviformer: a deep learning approach for reliable damage detection in polymer composites
by P. Saravana Kumar - 4167-4193 Manufacturing cybersecurity from threat to action: a taxonomy-guided decision support framework
by Md Habibor Rahman & Rocco Cassandro & Thorsten Wuest & Mohammed Shafae - 4195-4220 Anomaly recognition method of high- and low-frequency sensing data for complex machining environment of machine tools
by Jiacheng Sun & Zhenyu Liu & Dong Wang & Mingjie Hou & Jianwei Xiao & Guodong Sa & Jianrong Tan - 4221-4237 At-dicnet: a novel framework based speckle pattern for non-contact micron-level tool vibration deformation precision measurement
by Jing Lei & Shuang Mei & Quan Zhao & WangDe Qiu & LeiBin Wan & GuoJun Wen - 4239-4271 RAMPSeg: A robust calibration-free image segmentation method for reliable melt pool analysis in laser powder bed fusion
by Nazmul Hasan & Eung-Joo Lee & Andrew Wessman & Mohammed Shafae - 4273-4300 To twin or not to twin, that is the question: evaluating the business justification for digital twins in legacy systems
by Trevor Bean & Radmehr Monfared & Diana Segura-Velandia & Lee Fuller - 4301-4321 Mechanical property prediction of high-speed wire based on multi-modal deep network with multi-task learning
by Fei He & Yimin Ding & Baole Lou & Yungui Zhang - 4323-4343 Machine learning nested in multiphysics finite element analysis: application to flash sintering
by Ran He & Mingxuan Xia & Peter Polak & Baber Saleem & Xiaoxia Yu & Jingzhe Pan - 4345-4361 Digital twin-enabled real-time control for robot arm-based manufacturing via reinforcement learning
by Matsive Ali & Sandesh Giri & Qin Yang & Sen Liu - 4363-4378 Modelling of the cold rolling process for mild steel using physics-constrained neural network
by Nilesh Thakare & Emad Scharifi - 4379-4409 An automated framework for optimising aluminium extrusion dies using data-driven surrogate models
by Siyi Chen & Jiangfeng Ding & Zhutao Shao & Zhusheng Shi & Jianguo Lin - 4411-4429 A deep learning based method for identifying product manufacturing information in engineering drawings
by Yikai Zong & Yunhong Xu & Maolin Cai & Xiaomeng Tong & Fangwei Ning & Yuxin Zhang - 4431-4458 Natural language-driven production planning: integrating large language models with automatic simulation model generation in manufacturing systems
by Mohaiad Elbasheer & Yuanjun Laili & Francesco Longo & Vittorio Solina & Yiran Tao & Pierpaolo Veltri & Yuteng Zhang & Lin Zhang - 4459-4475 Statistically-aligned feature augmentation for robust unsupervised domain adaptation in industrial fault diagnosis
by Chenyang Zhu & Honghong Zhu & Lanlan Zhang & Fang Wang & Zhengwei Zhu - 4477-4493 An online monitoring approach for laser beam welding process based on multi-vision-task learning
by Yifeng Zhou & Boce Xue & Keming Guan & Haijin Yue & Hefei Zou & Baohua Chang & Dong Du - 4495-4515 Machine-learning-driven synergistic optimization of multi-objective mechanical properties in steel materials
by Fang-jie Lan & Jian-hua Liu & Yang He & Jian Shao & Min Xiao & Lin Zhang & Shuai Zhang & Feng Xu & Xiao-tian Duan - 4517-4535 Data-driven decision support for furnace loading in steel tempering: a machine learning approach based on industrial operations
by Sajad Mirzaei & Jean-Benoit Morin & Mohammad Jahazi - 4537-4554 Evolutionary artificial intelligence for 3D microstructure reconstruction based on inverse pole figure images
by Fatih Uzun & Alexander M. Korsunsky
September 2026, Volume 37, Issue 9
- 3481-3504 Assembly task planning framework based on knowledge graph
by Zhaobo Xu & Chaoran Zhang & Sheng Hou & Zhaochun Han & Long Zeng & Pingfa Feng - 3505-3524 Geometry-informed multimodal variational autoencoder for real-time prediction of properties for Ti–6Al–4V fabricated using PBF-LB
by Qixiang Luo & Nancy Huang & Dean L. Bartles & Allison M. Beese - 3525-3542 DeepMachining: online prediction of machining errors of lathe machines
by Xiang-Li Lu & Hwai-Jung Hsu & Che-Wei Chou & H. T. Kung & Sheng-Mao Cheng - 3543-3570 Remb: regularized embedding memory book to extend metric learning in fault diagnosis
by David Solís-Martín & Martina Fuentes-Morono & Juan Galán-Páez & Joaquín Borrego-Díaz - 3571-3585 Rapid digital twin modeling method and system for equipment
by Liang Chen & Moshi Zhou & Jingshu Zhong & Yuqian Lu & Yu Zheng - 3587-3611 Sustainable multi-diamond wire sawing of 4H-SiC: cooling strategies and hybrid VMD-ML for CO2 reduction and prediction
by Eyob Messele Sefene & William Gomez & Chao-Chang Arthur Chen - 3613-3635 Quality improvement in sand casting process: a hybrid approach based on machine learning and metaheuristic optimization methods
by Yusuf Ziya Çiçek & Feyza Gürbüz - 3637-3693 Key technologies and latest research progress of automated robotic welding: a review
by Yiheng Li & Yanling Xu & Xinghua Wang & Xiaoyang Ma & Qiang Wang & Huajun Zhang - 3695-3712 Towards health monitoring of laser powder bed fusion using acoustic emissions: identify manufacturing parameters
by Yinghong Yu & Zeshi Yang & Xinlin Qing & Wenjun Ge & Wentao Yan - 3713-3732 Spatiotemporal deep learning using infrared thermography for real-time monitoring and process parameter adjustment in material extrusion
by Asef Ishraq Sadaf & Hossain Ahmed - 3733-3749 A spatio-temporal hybrid method with multi-scale BiTCN and modified informer for remaining useful life prediction
by Jie Wang & Zhong Lu & Tianxiang Huang & Kai-Uwe Schröder - 3751-3775 A data screening framework before engaging machine learning in manufacturing
by Tiancheng Jiang & Tansu Alpcan & Kevin Otto - 3777-3797 AI agent-driven process automation for dynamic production efficiency and intelligent equipment integration
by Chung-Yang Chen & Shih-Chang Lin - 3799-3820 Joint distribution domain adaptation: a novel meta-learning framework for cross-domain few-shot fault diagnosis
by Yong Zhang & Mengfan Zhang & Wenzhe Liu - 3821-3846 Semi-supervised techniques to address the scarcity of experimental data: a case study of single point incremental forming
by Jose Alberto Maestro-Prieto & Pablo E. Romero & José Miguel Ramírez-Sanz & Andres Bustillo - 3847-3859 Automated neural network generation for industrial datasets, application to laser powder bed fusion
by Sasan Salmani Pour Avval & Titouan Abadie & Vahid Yaghoubi - 3861-3886 Self-supervised cross-domain open-set fault diagnosis method based on graph learning under time-varying speed conditions
by Sichao Sun & Xinyu Xia & Hua Zhou - 3887-3920 Modern trends and industrial use cases of digital twin technology with 3D behavioral representation
by Zdenek Machacek & Radim Hercik & Alfons Vaclavik & Jan Zemanek & Ibrahim A. Hameed & Jiri Koziorek
August 2026, Volume 37, Issue 8
- 3043-3067 A robust optimization model for the supplier portfolio selection problem using a combination of artificial fish swarm algorithm and simulated annealing
by A. M. Azadi & S. M. T. Fatemi Ghomi & Abbas Ahmadi & Amir M. Fathollahi-Fard - 3069-3104 Improving safety in human–robot collaboration towards sustainable production in Industry 5.0
by Justyna Patalas-Maliszewska & Hanna Łosyk & Adam Dudek - 3105-3121 Fluorescent penetrant inspection system for minor defects in jet-engine blade surface
by Dongbo Wu & Dingshan Deng & Huilin Li & Hui Wang & Bing Zhao - 3123-3141 Detection and localization system for surface defects of automotive forgings based on machine vision
by Qi Gao & Qiang Wu & Mengwu Wu & Xunpeng Qin & Lin Hua - 3143-3187 A scientometric review of digital twin in 3G to 6G networks: industry applications and trends
by Munish Bhatia & Vinika Malik - 3189-3209 No label left behind: a unified surface defect detection model for all supervision regimes
by Blaž Rolih & Matic Fučka & Danijel Skočaj - 3211-3233 ZSCIAD: a preliminary exploration of zero-shot class incremental anomaly detection method
by Yaohua Guo & Guoai Xu & Jianping Yin - 3235-3252 S2GA-VM: self-supervised and global-aware virtual metrology for accurate film thickness prediction in semiconductor manufacturing
by Weiping Xie & Jiangchen Wu & Yuping Wang & Yining Chen - 3253-3274 Prediction of spindle power during cutting using Gaussian process regression
by Kengo Kawai & Shota Suginouchi & Hajime Mizuyama - 3275-3287 Lightweight re-imaging quality assessment for detecting small defects on steel plate surfaces in the context of the internet of things
by Jingzhao Chen & Bin Liu & Haowen Zuo - 3289-3306 Multi-source feature augmentation adversarial domain generalization method for tool wear condition monitoring on unseen machine tools
by Jiajie Shao & Dianjun Fang & Zhiwen Huang & Zhuoyuan Zheng & Jianmin Zhu - 3307-3334 Data-driven based intelligent grinding process system: construction strategies and applications
by Changsheng Li & Lishu Lv & Xiaojing Fu & Zhaohui Deng & Jiming Ge & Rongjin Zhuo - 3335-3352 Intelligent digital twin process for the end-milling simulation combined with a multi-physical model
by Sang Min Yang & Joon-Hyeok Choe & Jisoo Kim & Dong Min Kim & Hyung Wook Park - 3353-3372 Cross-scene object relationship-driven object detection for flexible printed circuit production
by Jiu Dai & Guangzhu Chen & Xiaojuan Liao & Linmao Xu - 3373-3396 Automated detection and classification of soldering defects in printed circuit boards using deep learning and optical and thermal imaging
by Tiago Diogo & António Ramos & Filipe Pereira & Nuno Araújo & António Lopes - 3397-3411 A digital twin-based neutrosophic multi-objective optimization model for smart supply chains in the food industry
by Hamed Nozari & Hossein Abdi & Agnieszka Szmelter-Jarosz & Maryam Rahmaty - 3413-3462 Harnessing computational modelling to drive progress in additive manufacturing: a state-of-the-art review
by Sachin Kumar & Song Gao & Mridul Goyal & Tushar Jindal & Manoj Kumar & Ashutosh Sharma & Sharad Bhardwaj & Aditya Sharma - 3463-3480 MeltpoolINR: predicting temperature field, melt pool geometry and their rate of change in laser powder bed fusion
by Manav Manav & Nathanaël Perraudin & Yunong Lin & Mohamadreza Afrasiabi & Fernando Perez-Cruz & Markus Bambach & Laura De Lorenzis
July 2026, Volume 37, Issue 7
- 2633-2634 Prompt design and optimization
by Andrew Kusiak - 2635-2668 Modular scheduling of tightly coupled production lines
by Joan Marcè i Igual & Marc Geilen & Mitra Nasri & Twan Basten - 2669-2695 Application of physics-informed neural network to calculate heat transfer and deuterium diffusion-trapping in tungsten plasma facing materials
by Pengcheng Guo & Hanfeng Song & Yunhui Tang & Bing Wang & Bo Wang - 2697-2716 A zone-based Wi-Fi fingerprinting indoor positioning system for factory noise mapping
by Leicai Xiao & Poorya Ghafoorpoor Yazdi & Sebastian Thiede - 2717-2740 Mechanism-fused Gaussian process regression model for tool-tip operational modes prediction in complex milling
by Kai Zhou & Feng Feng & Jianjian Wang & Julian Blumberg & Pingfa Feng - 2741-2766 3D form generation and perceptual evaluation for mechanical products
by Wenjin Yang & Yizhong Hou & Jianning Su & Jianping Ren & Zhipeng Zhang & Baoyin Yu & Xiong Li - 2767-2786 Multi-task deep learning-empowered in-situ monitoring methodology for visible and invisible defects in laser melt injection: ceramic reinforced metal matrix composite
by Hongmeng Xu & Xixi Li & Zhengchun Qian & Huanbo Cheng & Wenzheng Ding - 2787-2805 Numerical data driven operation support for manufacturing of automotive body components
by Alexander Barlo & Omsri Aeddula & Mats Sigvant & Johan Pilthammar & Toni Chezan & Md Shafiqul Islam & Tobias Larsson - 2807-2831 Bayesian federated causal inference and its application in manufacturing
by Xiaofeng Xiao & Khawlah Alharbi & Pengyu Zhang & Hantang Qin & Xubo Yue - 2833-2856 Anomaly image detection method based on one-step denoising diffusion model with high- and low-frequency information enhanced
by Zhiqiang Feng & Ce Li & Jialin Ma & Zongshun Wang & Limei Xiao & Ruilong Jiang - 2857-2902 Mitigating manufacturing defects in laser-powder bed fusion: a design-led compensation framework for truss-based metallic lattices
by S. Murchio & M. Benedetti & M. Dallago & S. Raghavendra & G. Zappini & D. Pasini - 2903-2918 Surface reconstruction of glass bottles using neural implicit representations for manufacturing system
by Chenyu Tian & Xin Ye & Jiewu Leng & Xinyu Li & Huafeng Ding & Long Wen - 2919-2939 Data-driven fault collaborative diagnosis in mechatronic equipment: a meta-action based spatiotemporal fusion approach
by Minghui Gu & Yulong Li & Lijun Yu & Xiaogang Zhang & Hui Long & Wenkai Yong - 2941-2959 Intelligent GD&T symbol detection in mechanical drawings: a comparative study of YOLOv11, Faster R-CNN, and RetinaNet for quality assurance
by Tadigotla Narendra Reddy & Nitesh Kumar & Nachappa Pemmanda Ponnappa & Nagasiri Mohana & Prakash Vinod & Mervin A. Herbert & Shrikantha S. Rao - 2961-2977 Inkartgan: a deep learning-based approach for digital generation of ink painting
by XiaoNan Wang & YiLe Du & YiFei Pang - 2979-3000 Deep learning based computer vision for predicting electrospinning stability via Taylor cone analysis
by Imtiaz Qavi & George Z. Tan - 3001-3018 Benchmarking deep learning models for surface defect detection: a reproducible and statistically-rigorous approach
by Darío G. Lema & Lidia Sánchez-González & Rubén Usamentiaga & F. J. delaCalle - 3019-3042 One-shot learning for rapid generation of structured robotic manipulation tasks from 3D video demonstrations
by Jaime Duque-Domingo & Riccardo Caccavale & Alberto Finzi & Eduardo Zalama & Jaime Gómez-García-Bermejo
June 2026, Volume 37, Issue 6
- 2203-2214 AdditiveGDL: generative deep learning for predicting local thermal distributions in metal 3D-printed layers
by David Guirguis & Conrad Tucker & Jack Beuth - 2215-2257 Physics-informed machine learning in intelligent manufacturing: a review
by Jiewu Leng & Kaiwen Zuo & Caiyu Xu & Xueliang Zhou & Shuai Zheng & Jiawen Kang & Qiang Liu & Xin Chen & Weiming Shen & Lihui Wang & Robert X. Gao - 2259-2274 Artificial intelligence augmented digital twin for improving the machinability in a robotic carbon fiber reinforced plastics machining process
by Yun Seok Kang & Jae Gyeong Choi & Sang Min Yang & Sunghoon Lim & Dong Chan Kim & Hyung Wook Park - 2275-2293 Deep reinforcement learning based approach for the search and engagement phase of the robotic screw unfastening process
by Anwar Al Assadi & Yandong Wang & Frank Nägele & Werner Kraus & Marco F. Huber - 2295-2335 Systematic review and future directions in dynamic flexible job shop scheduling: a decade of research
by Candice Destouet & Houda Tlahig & Belgacem Bettayeb & Bélahcène Mazari - 2337-2380 Analysis of the performance of LSTM-DNN models with the consideration of signal complexity in milling processes
by Hui Xie & Meng Liu & Ashley Cusack & Guangxian Li & Andrew P. Longstaff & Songling Ding & Wencheng Pan - 2381-2394 Machine learned and explainable prediction of melt pressure and temperature for polypropylene extrusion
by Mohammad Basit Akram & Collin Gilarno & Kazuo McCoy & Sam Osten & Michael Rumps & Utsav Thota & Daniel Campbell & Ganesh Balasubramanian - 2395-2411 Automated guided vehicles intelligent scheduling in dynamic environments for automobile manufacturing stamping production
by Yanjuan Hu & Changhua Yin & Yan Zhang & Zhenpeng Cheng & Fumei Zhong - 2413-2431 Automated leaders and followers selection in Stackelberg games for modular manufacturing systems
by Steve Yuwono & Dorothea Schwung & Andreas Schwung - 2433-2444 Reverse engineering for programmable logic controller structure estimation via white box networks
by Eun Saem Lee & Hyeontae Jo & Hyung Ju Hwang - 2445-2467 Predicting wall thickness changes in cold forging processes: an integrated FEM and neural network approach
by Sasa Ilic & Abdulkerim Karaman & Johannes Pöppelbaum & Jan Niclas Reimann & Michael Marré & Andreas Schwung - 2469-2484 A responsive digital twin approach for machining based on biomimetic perception and cognition
by Yicheng Sun & Minjun Xu & Jinsong Bao & Shimin Liu - 2485-2502 LEIS-net: lightweight and efficient industrial surface defect detection network
by Chunlong Yang & Donghao Lv & Xu Tian & Chenzhi Wang & Peihong Yang & Yong Zhang - 2503-2536 Topology-aware and highly generalizable deep reinforcement learning for efficient retrieval in multi-deep storage systems
by Funing Li & Yuan Tian & Ruben Noortwyck & Jifeng Zhou & Liming Kuang & Robert Schulz - 2537-2561 Enhancing injection molding quality prediction using an improved DTBO-based ANFIS model
by Jiakai He & Weijun Sun & Yongjun Cao & Jianan Liang & Chaoye Li & Zhigang Ren - 2563-2583 Industry 4.0 advancements in discrete production ramp-ups: a systematic literature review
by Julian Haller & Lea Kaven & Amon Göppert & Robert H. Schmitt - 2585-2609 EBPC: a deep learning cloud computing framework for hybrid stack drilling monitoring
by Jiduo Zhang & Robert Heinemann & Otto Jan Bakker - 2611-2631 A novel data augmentation method for few-shot industrial surface defect detection based on segment anything model adapter
by Fan Huang & Liming Zheng & Haiying Wen & Min Dai & Zhisheng Zhang
May 2026, Volume 37, Issue 5
- 1769-1787 Blockchain-based intelligent equipment assessment in manufacturing industry
by Tariq Ahamed Ahanger & Munish Bhatia & Abdulrahman Alabduljabbar & Abdullah Albanyan - 1789-1812 Focus to generalize (F2G): physics-guided attention for sample efficient and generalizable deep learning defect detection
by Mohamed Abubakr Hassan & Mahmoud Hassan & Ahmad Sadek & Chi-Guhn Lee - 1813-1828 Reinforcement learning-based laser cutting machine parameter optimization
by Khanh Quan Pham & Majid Kundroo & Geunwoo Ban & Seongho Bae & Taehong Kim - 1829-1855 Reinforcement learning approach for decision making in disassembly processes
by Felix Paschko & Abderrahim Krini & Markus Kemke & Steffi Knorn - 1857-1874 Development of an AI-based informational assistance system for assembly accounting for dyslexia
by Yuchen Fan & Alessandro Simeone & Dario Antonelli & Alessandra Caggiano & Paolo C. Priarone & Luca Settineri - 1875-1890 COGNIMAN Digital Twin Architecture for Flexible Manufacturing
by Assia Belbachir & Antonio M. Ortiz & Ahmed Nabil Belbachir & Wissam Mallouli & An Ngoc Lam & Akhilesh Kumar Srivastava & Martin Hemmer - 1891-1908 Integrating digital twin models into continuous carbon fiber-reinforced nylon additive manufacturing for process parameters verification and anomaly detection
by Xiao Wei & Yujun Wang & Jian Mao & Man Zhao & Gang Liu - 1909-1929 A Time-Frequency Domain Feature Fusion Model Based on Unimodal Binomial Distribution for Fault Severity Classification
by Zhenglei Jin & Qifa Xu & Cuixia Jiang & Zheng Liu & Tianming Xie & Xiangxiang Wang - 1931-1955 Employing natural language processing to build a knowledge graph in the realm of additive manufacturing
by Auwal Haruna & Khandaker Noman & Yongbo Li & Lunyong Li & Xin Wang & Khandaker Ashfak & Ahmad Bala Alhassan - 1957-1979 Optimization of scanning path in laser powder bed fusion: training and application of deep learning model using small dataset
by Hubocheng Tang & Huilin Ren & Yi Xiong - 1981-1998 Geometry-aware multi-task learning network for outlier removal and denoising in scanned point clouds of aerospace thin-walled parts
by Liling Zuo & Jie Zhang & Hui Cheng & Youlong Lyu - 1999-2015 Explainable AI for reinforcement learning based dynamic scheduling solutions in semiconductor manufacturing
by Alessandro Immordino & Patrick Stöckermann & Niels Hayen & Thomas Altenmüller & Gian Antonio Susto & Martin Gebser & Konstantin Schekotihin & Georg Seidel - 2017-2040 Trade-offs in Bayesian active learning for feasible region identification
by Ioana Nikova & Sebastian Rojas Gonzalez & Tom Dhaene & Ivo Couckuyt - 2041-2061 A cloud-edge-based digital twin architecture for cyber-physical shop floors: design principles, function analysis, and case study
by Huiyue Huang & Xun Xu & Tang Ji - 2063-2083 A study on degradation prediction modeling method for mechanical rotating components based on multi-modal data and improved structured state-space sequence model
by Zilin Zhang & Yaohua Deng & Xiali Liu - 2085-2113 Large language models for extrapolative modeling of manufacturing processes
by Kiarash Naghavi Khanghah & AnandKumar Patel & Rajiv Malhotra & Hongyi Xu - 2115-2128 Improving rotating machinery fault diagnosis across heterogeneous machines with domain adversarial perturbation in semi-supervised domain adaptation scenario
by Yujun Yang & Jun Kataoka & Sang-Hyuk Yun & Hyunsoo Yoon - 2129-2164 Tool Wear State Recognition in CNC Milling using Reliable Labels, Robust Domain Features, and Lightweight AI Models
by Deep Patel & Sreekumar Muthuswamy - 2165-2181 A digital twin framework for enhancing human–agentic AI–machine collaboration
by Bernardo Nicoletti & Andrea Appolloni - 2183-2201 A modeling method of digital twin connection model based on virtual sensor
by Chongxin Wang & Xiaojun Liu & Fengyi Feng & Yang Sun & Gang Yuan & Hai Yang & Yu Ding
April 2026, Volume 37, Issue 4
- 1345-1381 Collaborative robots for quality control: an overview of recent studies and emerging trends
by Stefano Puttero & Elisa Verna & Gianfranco Genta & Maurizio Galetto - 1383-1403 Use of optical sensors and artificial neural networks for precision measurement and fault detection in metallurgical environments
by Zdenek Machacek & Jakub Samaj & Miroslav Schneider & Martin Mikolajek & Melvin A. Lara de Leon & Ibrahim A. Hameed & Radim Hercik & Alfons Vaclavik & Jan Zemanek & Petr Beremlijski & Jiri Koziorek - 1405-1431 A dynamic surface roughness prediction system based on machine learning for the 3D-printed carbon-fiber-reinforced-polymer (CFRP) turning
by Anastasios Tzotzis & Paul Maropoulos & Panagiotis Kyratsis - 1433-1446 Real-time forging process control: integrating billet-related surrogate and machine behavior models
by David Uribe & Camille Durand & Cyrille Baudouin & Régis Bigot - 1447-1470 Generative AI in industrial machine vision: a review
by Hans Aoyang Zhou & Dominik Wolfschläger & Constantinos Florides & Jonas Werheid & Hannes Behnen & Jan-Henrik Woltersmann & Tiago C. Pinto & Marco Kemmerling & Anas Abdelrazeq & Robert H. Schmitt - 1471-1490 Knowledge representation and reasoning in the context of automated production planning
by Harkiran Sahota & Adam Kłodowski - 1491-1511 Intelligent real-time tool life prediction for a digital twin framework
by Javier Dominguez-Caballero & Sabino Ayvar-Soberanis & David Curtis - 1513-1530 Blockchained on-device federated learning-based delivery capacity prediction in a social manufacturing paradigm
by Fuqiang Zhang & Haojie Wang & Xueliang Zhou & Hui Mu & Jiewu Leng - 1531-1550 Streamlining digital twin development and operation with DTOps
by Ronghua Miao & Shimin Liu & Yicheng Sun & Ming Du & Jinsong Bao - 1551-1570 Deep meta-learning-based multi-signal data fusion approach for fault diagnosis
by Özgür Gültekin & Eyup Cinar - 1571-1590 A deep learning based visual inspection of small-batch electronic assembly using few-shot-driven synthetic data
by Mingxing Jiang & Tingyu Liu & Songyang Li & Xiao Lai & Lei Jiao & Zhonghua Ni - 1591-1614 Enabling production re-configurability through Digital Twins: a case study approach
by S. Plitsos & K. Giannakos & T. Farmakis & P. Eirinakis & T. Hohmann & O. Jotz & G. Vivo - 1615-1632 AMFNet: aggregated multi-level feature interaction fusion network for defect detection on steel surfaces
by Changyun Wei & Yuhang Bao & Chengwei Zheng & Ze Ji - 1633-1658 Gen-JEMA: enhanced explainability using generative joint embedding multimodal alignment for monitoring directed energy deposition
by José Ferreira & Roya Darabi & Armando Sousa & Frank Brueckner & Luís Paulo Reis & Ana Reis & João Manuel R. S. Tavares & João Sousa - 1659-1680 A proposed adaptive navigation architecture to improve safety of self-guided vehicles in dynamic manufacturing environments
by Massinissa Graba & Sousso Kelouwani & Lotfi Zeghmi & Bilel Allani & Ali Amamou & Kodjo Agbossou & Mohammad Mohammadpour - 1681-1699 Machine learning-driven multi-objective parameter optimization for sustainable, efficient, and high-quality ultrasonic wire bonding
by Christoph Buchner & Benjamin Riedle & Jonas Krauß & Christian T. Seidler & Marco F. Huber & Hartmut Eigenbrod & Hans-Georg von Ribbeck & Franz Schlicht - 1701-1715 Multi-task learning with state propagation for quality forecasts in polymer extrusion lines
by Raphael Hartner & Martin Kozek & Stefan Jakubek - 1717-1732 Few-shot working condition classification within a meta-learning framework based on multi-head attention autoencoder
by Jie Zhang & Yuqing Chang & Fuli Wang - 1733-1751 Hybrid knowledge-based deep learning method for tool wear state monitoring
by Dezhi Yuan & Kunpeng Zhu & Dongpeng Liang & Qiankun Li & Shuo Wang - 1753-1767 Nest smarter, not harder: a hybrid vision-based deep reinforcement learning agent for packing 2D irregular geometries by rotational placement
by Kirolos Abdou & Amgad Fakhry Ibrahim & Kai Binder & Marco F. Huber
March 2026, Volume 37, Issue 3
- 977-998 Infill pattern strategy impact on the cross-sectional area at gauge length of material extrusion 3D printed polylactic acid parts
by J. M. Cañero-Nieto & R. J. Campo-Campo & I. Díaz-Bolaño & E. A. Ariza-Echeverri & C. E. Deluque-Toro & J. F. Solano-Martos - 999-1022 Exploring the synergy of human-robot teaming, digital twins, and machine learning in Industry 5.0: a step towards sustainable manufacturing
by Even Falkenberg Langås & Muhammad Hamza Zafar & Filippo Sanfilippo - 1023-1032 An augmented reality-based wearable system for handheld-free and intuitive robot programming
by Junsoo Kim & Sangyeop Lee & Joonbum Bae - 1033-1047 Advanced predictive quality assessment for ultrasonic additive manufacturing with deep learning model
by Lokendra Poudel & Sushant Jha & Ryan Meeker & Duy-Nhat Phan & Rahul Bhowmik - 1049-1072 Digital twin designs with generative AI: crafting a comprehensive framework for manufacturing systems
by Omar Mata & Pedro Ponce & Citlaly Perez & Miguel Ramirez & Brian Anthony & Bradley Russel & Pushkar Apte & Brian MacCleery & Arturo Molina - 1073-1074 Correction: Digital twin designs with generative AI: crafting a comprehensive framework for manufacturing systems
by Omar Mata & Pedro Ponce & Citlaly Perez & Miguel Ramirez & Brian Anthony & Bradley Russel & Pushkar Apte & Brian MacCleery & Arturo Molina - 1075-1091 Optimizing chamber systems for deposition processes in the semiconductor industry with deep learning framework: tackling small simulation datasets
by Donggeun Park & Hanbin Cho & Changseob Kwon & Youngyeon Ji & Seunghwa Ryu - 1093-1108 Reinforcement learning in dynamic job shop scheduling: a comprehensive review of AI-driven approaches in modern manufacturing
by Chinyere Ngwu & Ying Liu & Rui Wu - 1109-1123 An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment
by Ming Xie & Jianxin Liu & Yifan Li & Cai Yi - 1125-1144 An intelligent energy management method for the manufacturing systems using the knowledge graph and large language model
by Pengcheng Wu & Haobei Tu & Xun Mou & Leihao Gong - 1145-1161 A new characterization method for rapid prediction of recrystallization damage in single crystal superalloys considering plastic deformation
by Zichen Zhan & Congcong Han & Lai Zou & Jianmin Dong & Shengbo Yan & Wenxi Wang - 1163-1178 Towards label-free defect detection in additive manufacturing via dual-classifier semi-supervised learning for vision-language models
by Kang Wang & Lanqing Liu & Cheng Xu & Jing Zou & Haoneng Lin & Naiyu Fang & Jingchao Jiang - 1179-1195 A method to benchmark high-dimensional process drift detection
by Edgar Wolf & Tobias Windisch - 1197-1212 A novel quality inspection method based on free-form surface digital twin model
by Tian-Feng Qi & Hai-Rong Fang & Yu-Lin Liu & Yu-Fei Chen & Hao-Qian Wang & Yu-Fan He - 1213-1229 Predictive quality analytics for the viscosity of water-based architectural paint manufacturing by using improved supervised machine learning and maximum dissimilarity algorithm
by Robinson Barrionuevo & Diego Vallejo-Huanga & Paulina Morillo & Noha A. Mostafa - 1231-1246 Development of a dynamic beam stabilization system for a six-axis ultrashort pulsed laser robot
by Yongting Yang & Daniel Franz & Cemal Esen & Ralf Hellmann - 1247-1263 Explainable neural network for time series-based condition monitoring in sheet metal shearing
by Marco Becker & Philipp Niemietz & Thomas Bergs - 1265-1295 Structured sampling strategies in Bayesian optimization: evaluation in mathematical and real-world scenarios
by Lucas Greif & Niklas Hübschle & Andreas Kimmig & Simon Kreuzwieser & Anatole Martenne & Jivka Ovtcharova - 1297-1325 Deep learning-based real-time monitoring of electron beam powder bed fusion (EB-PBF) via electron emission
by Temilola Gbadamosi-Adeniyi & Scott Ferguson & Tim Horn - 1327-1343 Machine learning approach for laser-drilled Ni-alloy plates fabrication technology
by G. S. Safronov & M. V. Ananyev & A. A. Markin & E. M. Koltsova & M. A. Usova
February 2026, Volume 37, Issue 2
- 573-596 Simulation of semiconductor wafer dicing induced faults on chips and their application as augmentation method for a deep learning based visual inspection system
by Michael Friedrich & Tobias Schlosser & Danny Kowerko - 597-614 Multi-stage tool wear prediction method based on multi-dimensional digital twin
by Wei Dai & Shujie Liu & Shuai Lv & Jinyan Hu & Xilin Wang - 615-627 Real-time in-situ defect detection via multi-modal classification of waveforms for wire arc additive manufacturing
by Benton Clark & Syed Ibn Mohsin & Hasan A. Poonawala & Fazleena Badurdeen & Raymond Brennan & I. S. Jawahir - 629-645 DHCEN-DTC: an ensemble learning approach for small-feature recognition in machining process classification
by Miao Wang & Hao Tang & Yu Wang & Yujun Chen & Lifeng Yin - 647-658 Optimizing electrohydrodynamic direct-writing with multilayer perceptron: accurate and efficient predictions of jet profiles
by Dongwoon Shin & Jiyoung Chang - 659-677 Interpretable data-driven framework for life prediction of homogenous lead-free solder joints in ball grid array packages
by Qais Qasaimeh & Jia Liu & Daniel F. Silva & Awni Qasaimeh & John L. Evans & Sa’d Hamasha - 679-695 Modeling of thermal errors in electric spindle based on a hybrid approach of thermal deformation theory and data drive
by Yingqiang Zheng & Tao Tao & Xuesong Mei & Wenwen Tian & Shi Hu & Hongyang Du - 697-710 Development of an adaptive tool condition monitoring system: integration of case-based reasoning with CNN
by Oussama Dahmoune & Ikhlas Meddour & Mohamed Elbah & Mohamed AtmaneYallese & Salim Belhadi - 711-736 Machine learning in additive manufacturing: enhancing design, manufacturing and performance prediction intelligence
by Teng Wang & Yanfeng Li & Taoyong Li & Bei Liu & Xiaowei Li & Xiangyu Zhang - 737-758 Six-dimensional digital twin modeling and software platform design for complex industrial systems
by Nan Li & Gang Xie & Xiaohong Zhang & Hui Shi & Xiaoyin Nie & Yufei Wang & Jianan Wang & Jinquan Wang - 759-774 Handling data drift in deep learning-based quality monitoring: evaluating calibration methods using the example of friction stir welding
by Johannes C. Bauer & Stephan Trattnig & Fabian Vieltorf & Rüdiger Daub - 775-798 A review of artificial intelligence application for machining surface quality prediction: from key factors to model development
by Jeong Hoon Ko & Chen Yin - 799-827 Data management in industry: concepts, systematic review and future directions
by Nelson Freitas & Andre Dionisio Rocha & Jose Barata - 829-848 Real-to-sim: automatic simulation model generation for a digital twin in semiconductor manufacturing
by Sebastian Behrendt & Thomas Altenmüller & Marvin Carl May & Andreas Kuhnle & Gisela Lanza - 849-865 Machine learning-based multi-objective optimization framework for industrial black nickel electroplating
by Junhao Ren & Qiyu Kang & Shuo Feng & Yajuan Sun & Yong Teck Tan & Gaoxi Xiao - 867-885 Data computation platform (DCP): empowering pharma 4.0 innovation through GxP-compliant and scalable software platform enabling advanced data analytics and real-time process monitoring in regulated environments
by Tobias Ladner & Christopher Weh & Anoop Dhillon & Marion Giffard & Daniele Iacovelli - 887-907 VIRL: Volume-Informed Representation Learning towards few-shot manufacturability estimation
by Yu-hsuan Chen & Jonathan Cagan & Levent Burak Kara - 909-931 Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg
by Qixiang Luo & Nancy Huang & Dean L. Bartles & Timothy W. Simpson & Allison M. Beese - 933-954 Machine learning of the dynamics of strain hardening based on contact transformations
by Joanna Szyndler & Sebastian Härtel & Markus Bambach - 955-975 A planning and execution framework for robotic assembly with deformable objects using a centralized database based on the Rαβγ categorization
by Ran Shneor & Gali Naveh & Shir Ben-David & Bar Shvarzman & Zachi Mann & Alex Greenberg & Yotam Efrat & Omer Einav & Sigal Berman
January 2026, Volume 37, Issue 1
- 1-30 A new method for predicting workpiece fatigue life based on segmentation features of titanium alloy surface morphology
by Youdong Zhang & Guijian Xiao & Hui Gao & Bao Zhu & Jing Wu - 31-43 Online force prediction by neural networks in single point incremental hole flanging operations
by Lemopi Isidore Besong & Johannes Buhl & Markus Bambach - 45-95 Observational and experimental insights into machine learning-based defect classification in wafers
by Kamal Taha - 97-118 In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning
by Stephen K. H. Lee & Patrick G. Mongan & Ahmad Farhadi & Eoin P. Hinchy & Noel P. O’Dowd & Conor T. McCarthy - 119-170 Large scale foundation models for intelligent manufacturing applications: a survey
by Haotian Zhang & Stuart Dereck Semujju & Zhicheng Wang & Xianwei Lv & Kang Xu & Liang Wu & Ye Jia & Jing Wu & Wensheng Liang & Ruiyan Zhuang & Zhuo Long & Ruijun Ma & Xiaoguang Ma - 171-184 Motion stage precision prediction for photonic integrated circuit assembly
by Lorenzo Mandelli & Colin Dankwart & Christian Napoli - 185-199 CSSA-XGBoost: a novel algorithm for inspecting spot welding quality based on dynamic resistance signal
by Rui Wang & Ruichen Mi & Hao Xu & Zhonglin Gao & Weipeng Liu & Tao Liang & Kun Liu - 201-219 A digital twin emulator for production performance prediction and optimization using multi-scale 1DCNN ensemble and surrogate models
by Bufan Liu & Ping Chong Chua & Jongsuk Lee & Seung Ki Moon & Manel Lopez - 221-235 Hybrid sampling assisted BiRRT for enhanced robotic arm path planning in complex industrial scenarios
by Chengwei Hu & Yinhua Liu & Wenzheng Zhao & Yinan Wang - 237-255 Assessing generalizability in deep reinforcement learning based assembly: a comprehensive review
by Lena Kolb & Marcel Panzer & Norbert Gronau - 257-280 New classification method of nonstandard parts for CNC selection based on machine learning and geometric analysis
by Peng Shi & Xiaomeng Tong & Yunhong Xu & Maolin Cai - 281-298 Multi-layer process control in selective laser melting: a reinforcement learning approach
by Stylianos Vagenas & Taha Al-Saadi & George Panoutsos - 299-311 Deep learning-based rotational alignment technique using image generation and Fourier transform
by Bo Wook Seo & Woo Young Kim & Seok Kim & Young Tae Cho - 313-325 Real-time detection of blade surface defects based on the improved RT-DETR
by Dongbo Wu & Renkang Wu & Hui Wang & Zhijiang Cheng & Suet To - 327-349 Analysis of models for IoT-driven predictive maintenance under constraints in the case of the biopharmaceutical industry
by Florent Wadel & Rémy Houssin & Amadou Coulibaly & Ayoub Tighazoui - 351-371 Automated defects detection in extrusion 3D printing using YOLO models
by Abdul Rahman Sani & Ali Zolfagharian & Abbas Z. Kouzani - 373-397 Enhancing industrial prognostic accuracy in noisy and missing data context: assessing multimodal learning performance
by Sagar Jose & Khanh T. P. Nguyen & Kamal Medjaher - 399-415 Sheet metal localization using deep learning and synthetic data
by Hannes Behnen & Guillem Boada-Gardenyes & Robert H. Schmitt & Marc Teschner & Willi Pönitz & Korbinian Weiß - 417-440 Viral mutation-inspired evolutionary algorithm for permutation flowshop scheduling
by Mircea Ancău - 441-464 Design and platform realization of comprehensive evaluation method for quality of complex product assembly process
by Pengyong Cao & Guijiang Duan & Jiajun Liu & Mingjun Dang