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Content
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 - 465-479 Machine learning for density prediction and process optimization of 316L stainless steel fabricated by selective laser melting
by Abbas Hodroj & Redouane Bouglia & Yuehua Ding & Mourad Zghal - 481-503 Mechanism and data hybrid-driven cutting forces prediction model for end milling
by Chang Ni & Jixiang Yang & Han Ding - 505-524 Research on intelligent design of debugging processes for complex electronic products based on knowledge graphs
by Hao Xue & Wu Zhao & Xinyu Chen & Xin Guo & Miao Yu & Yuhan Liu & Dejin Yan & Yong Xiao & Kai Zhang - 525-547 Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection
by Seunghwan Song & Kyuchang Chang & Cheolsoon Park & Jun-Geol Baek - 549-571 A cyber-physical architecture to monitor human-centric reconfigurable manufacturing systems
by Andrea Sbaragli & Poorya Yazdi Ghafoorpoor & Sebastian Thiede & Francesco Pilati
December 2025, Volume 36, Issue 8
- 5197-5216 A systematic review of innovations for real-time image security in IoT applications using machine learning and blockchain
by Manish Rai & Sunil Kumar & Pramod Singh Rathore - 5217-5246 A review of advances in 3D and 4D bioprinting: toward mass individualization paradigm
by Tariku Sinshaw Tamir & Frehiwot Bayelign Teferi & Xijin Hua & Jiewu Leng & Gang Xiong & Zhen Shen & Qiang Liu - 5247-5262 Time series fault prediction via dual enhancement
by Yi Wang & Wencong Xu & Chaofei Wang & Yanbin Huang & Heming Zhang - 5263-5283 Exploring the applications of natural language processing and language models for production, planning, and control activities of SMEs in industry 4.0: a systematic literature review
by Bourdin Mathieu & Neumann Anas & Paviot Thomas & Pellerin Robert & Lamouri Samir - 5285-5326 The Meta Holonic Management Tree: review, steps, and roadmap to industrial Cybernetics 5.0
by Massimiliano Pirani & Alessandro Carbonari & Alessandro Cucchiarelli & Alberto Giretti & Luca Spalazzi - 5327-5349 A review of the bat algorithm and its varieties for industrial applications
by Thi-Kien Dao & Trong-The Nguyen - 5351-5374 Adaptive servo system for die-sinking micro-EDM driven by deep Q-network with online-offline combined data
by Cheng Guo & Hao Li & Longhui Luo & Long Ye & Zhiqiang Liang & Xiang Chen - 5375-5395 Optimizing operations of flexible assembly systems: demonstration of a digital twin concept with optimized planning and control, sensors and visualization
by Thomas Sobottka & Christoph Halbwidl & Alexander Gaal & Matthias Nausch & Benedikt Fuchs & Philipp Hold & Leonhard Czarnetzki - 5397-5414 A novel unsupervised graph wavelet autoencoder for mechanical system fault detection
by Tianfu Li & Chuang Sun & Ruqiang Yan & Xuefeng Chen - 5415-5459 Enhanced prediction accuracy in high-speed grinding of brittle materials using advanced machine learning techniques
by Sangkyoung Lee & Zhuoxiao Chen & Yadan Luo & Xuliang Li & Mingyuan Lu & Zi Helen Huang & Han Huang - 5461-5473 Machine learning-based non-destructive method for identifying defect causes in OLED displays to enhance productivity
by Jun Hee Han & Yoonseob Jeong & Minkyu Chun & Sang Won Yoon & Jeong-Hyeon Choi & Young Jun Choi & Young Mi Kim & Sang Hoon Jung & Joon-Young Yang & Sooyoung Yoon - 5475-5494 Deep reinforcement learning-based energy-aware disassembly planning for end-of-life products with stimuli-activated self-disassembly
by Di Wang & Jing Zhao & Muyue Han & Lin Li - 5495-5523 A systematic online update method for reduced-order-model-based digital twin
by Yifan Tang & Pouyan Sajadi & Mostafa Rahmani Dehaghani & G. Gary Wang - 5525-5544 A high-precision in-situ monitoring system for laser directed energy deposition melt pool 3D morphology based on deep learning
by Huaping Li & Lin Hu & Jianhai Ye & Wei Wei & Xinyue Gao & Zhuang Qian & Yu Long - 5545-5561 Identification of sensors in smart manufacturing via mutually exclusive multiple time series classification
by Alberto Ceselli & Giuseppe Martino & Marco Premoli - 5563-5591 Computer vision-enabled real-time job hazard analysis for safe human–robot collaboration in disassembly tasks
by Morteza Jalali Alenjareghi & Samira Keivanpour & Yuvin Adnarain Chinniah & Sabrina Jocelyn - 5593-5611 Camera-based safety system for collaborative assembly
by Elvira Chebotareva & Maksim Mustafin & Ramil Safin & Tatyana Tsoy & Edgar A. Martinez-García & Hongbing Li & Evgeni Magid - 5613-5628 Dense detection algorithm for ceramic tile defects based on improved YOLOv8
by Mei Yu & Yuxin Li & Zhilin Li & Peng Yan & Xiutong Li & Qin Tian & Benliang Xie - 5629-5672 Proposing a cross-correlational-gated recurrent unit neural network for engine block assembly action recognition
by Davar Giveki - 5673-5693 Manufacturing process energy consumption modeling: a methodology to identify the most appropriate model
by Henry Ekwaro-Osire & Dennis Bode & Jan-Hendrik Ohlendorf & Klaus-Dieter Thoben - 5695-5714 Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning
by Jonghwan Choi & Jisoo Park & Sang Do Noh & Ju Yeon Lee - 5715-5735 A physics-guided deep generative model for predicting melt pool behavior in laser powder bed fusion additive manufacturing
by Jaehyuk Kim & Zhuo Yang & Yan Lu - 5737-5756 Dual-sided co-machining scheme optimization for thin-wall components with complex geometry
by Xiangyu Guo & Rui Wang & Shisheng Zhong & Xun Xu - 5757-5778 Concurrent nonstationary process analysis model and its application in nonstationary process monitoring
by Yun Wang & Guang Chen & Yuchen He & Lijuan Qian & Ping Wu & Lingjian Ye - 5779-5800 Online simulation task scheduling in cloud manufacturing with cross attention and deep reinforcement learning
by Zhen Chen & Lin Zhang & Yuanjun Laili & Xiaohan Wang & Fei Wang - 5801-5817 Anomaly detection for composite manufacturing using AI models
by Deepak Kumar & Pragathi Chan Agraharam & Yongxin Liu & Sirish Namilae - 5819-5834 Frequency informed convolutional autoencoder for in situ anomaly detection in wire arc additive manufacturing
by Giulio Mattera & Mario Vozza & Joseph Polden & Luigi Nele & Zengxi Pan - 5835-5857 An automatic detecting method for multi-scale foreign object debris in civil aircraft manufacturing and assembly scenario
by Minghao Yu & Qijie Zhao & Sheng Cheng & Hongxia Cai & Lilan Liu - 5859-5873 ReflowNet: ConvLSTM-based direct reflow oven recipe optimization framework
by Jun Kataoka & Abdelrahman Farrag & Yangyang Lai & Seungbae Park & Yu Jin & Daehan Won - 5875-5888 Unsupervised reward engineering for reinforcement learning controlled manufacturing
by Thomas Hirtz & He Tian & Yi Yang & Tian-Ling Ren - 5889-5901 Online prediction of composite material drilling quality based on multi-sensor fusion
by Wei Liu & ·Jiacheng Cui & Yongkang Lu & Pengbo Yin & Lei Han & Yingxin Jiang & Yang Zhang - 5903-5922 A digital twin of intelligent robotic grasping based on single-loop-optimized differentiable architecture search and sim-real collaborative learning
by Qing Jiao & Weifei Hu & Guangbo Hao & Jin Cheng & Xiang Peng & Zhenyu Liu & Jianrong Tan - 5923-5941 A novel extension model for predicting the friction coefficient of fluorinated ethylene propylene based on temporal convolutional networks expansion algorithms
by Jiayu Liao & Honghao Zhao & Pengxiang Zhou & Li Chen & Fei Guo - 5943-5966 Knowledge graph-enhanced multi-agent reinforcement learning for adaptive scheduling in smart manufacturing
by Zhaojun Qin & Yuqian Lu - 5967-5980 Discovering Granger causality with convolutional neural networks
by Oktay Sahinoglu & Ayca Kumluca Topalli & Ihsan Topalli
October 2025, Volume 36, Issue 7
- 4411-4446 An overview of traditional and advanced methods to detect part defects in additive manufacturing processes
by Vivek V. Bhandarkar & Harshal Y. Shahare & Anand Prakash Mall & Puneet Tandon - 4447-4476 Smart scheduling for next generation manufacturing systems: a systematic literature review
by Shriprasad Chorghe & Rishi Kumar & Makarand S. Kulkarni & Vibhor Pandhare & Bhupesh Kumar Lad - 4477-4517 Best practices for machine learning strategies aimed at process parameter development in powder bed fusion additive manufacturing
by Najmeh Samadiani & Amanda S. Barnard & Dayalan Gunasegaram & Najmeh Fayyazifar - 4519-4548 Towards AI driven surface roughness evaluation in manufacturing: a prospective study
by Sourish Ghosh & Ricardo Knoblauch & Mohamed El Mansori & Cosimi Corleto - 4549-4565 Data-driven linear quadratic tracking based temperature control of a big area additive manufacturing system
by Eleni Zavrakli & Andrew Parnell & Andrew Dickson & Subhrakanti Dey - 4567-4591 Comparative analysis of different machine vision algorithms for tool wear measurement during machining
by Mayur A. Makhesana & Prashant J. Bagga & Kaushik M. Patel & Haresh D. Patel & Aditya Balu & Navneet Khanna - 4593-4612 Dynamic scenario-enhanced diverse human motion prediction network for proactive human–robot collaboration in customized assembly tasks
by Pengfei Ding & Jie Zhang & Pai Zheng & Peng Zhang & Bo Fei & Ziqi Xu - 4613-4634 CNC linear axis condition-based monitoring: a statistics-based framework to establish a baseline dataset and case study
by Andres Hurtado Carreon & Jose Mario DePaiva & Rohan Barooah & Stephen C. Veldhuis - 4635-4662 Edge-fog-cloud hybrid collaborative computing solution with an improved parallel evolutionary strategy for enhancing tasks offloading efficiency in intelligent manufacturing workshops
by Zhiwen Lin & Zhifeng Liu & Yueze Zhang & Jun Yan & Shimin Liu & Baobao Qi & Kaien Wei - 4663-4677 Deformation prediction model for hollow thin-walled aluminum alloy structural parts under multiple load-sequence coupling conditions
by Jiaheng Ma & Shengfang Zhang & Fujian Ma & Xiuying Song & Ziguang Wang & Zhihua Sha - 4679-4694 Deep-learning based artificial intelligence tool for melt pools and defect segmentation
by Amra Peles & Vincent C. Paquit & Ryan R. Dehoff - 4695-4710 An adaptive transfer fault detection method for rotary machine with multi-sensor information fusion
by Qibin Wang & Linyang Yu & Liang Hao & Shengkang Yang & Tao Zhou & Wanghui Ji - 4711-4734 Next-generation Vision Inspection Systems: a pipeline from 3D model to ReCo file
by Francesco Lupi & Nelson Freitas & Miguel Arvana & Andre Dionisio Rocha & Antonio Maffei & José Barata & Michele Lanzetta - 4735-4768 A transformer-based deep reinforcement learning approach for dynamic parallel machine scheduling problem with family setups
by Funing Li & Sebastian Lang & Yuan Tian & Bingyuan Hong & Benjamin Rolf & Ruben Noortwyck & Robert Schulz & Tobias Reggelin - 4769-4783 Automated optical inspection based on synthetic mechanisms combining deep learning and machine learning
by Chung-Ming Lo & Ting-Yi Lin - 4785-4806 A multi-task effectiveness metric and an adaptive co-training method for enhancing learning performance with few samples
by Xiaoyao Wang & Fuzhou Du & Delong Zhao & Chang Liu - 4807-4822 HG-XAI: human-guided tool wear identification approach through augmentation of explainable artificial intelligence with machine vision
by Aitha Sudheer Kumar & Ankit Agarwal & Vinita Gangaram Jansari & K. A. Desai & Chiranjoy Chattopadhyay & Laine Mears - 4823-4843 Development of data-driven, physics-based, and hybrid prognosis frameworks: a case study for gear remaining useful life prediction
by Pradeep Kundu & Ashish K. Darpe & Makarand S. Kulkarni - 4845-4866 Random convolution layer: an auxiliary method to improve fault diagnosis performance
by Zhiqian Zhao & Runchao Zhao & Yinghou Jiao - 4867-4893 Adaptive acquisition planning for visual inspection in remanufacturing using reinforcement learning
by Jan-Philipp Kaiser & Jonas Gäbele & Dominik Koch & Jonas Schmid & Florian Stamer & Gisela Lanza - 4895-4914 Digital-Triplet: a new three entities digital-twin paradigm for equipment fault diagnosis
by Huang Zhang & Zili Wang & Shuyou Zhang & Lemiao Qiu & Yang Wang & Feifan Xiang & Zhiwei Pan & Linhao Zhu & Jianrong Tan - 4915-4939 A systematic multi-layer cognitive model for intelligent machine tool
by Tengyuan Jiang & Jingtao Zhou & Xiang Luo & Mingwei Wang & Shusheng Zhang - 4941-4962 Reliability-improved machine learning model using knowledge-embedded learning approach for smart manufacturing
by Farzam Farbiz & Saurabh Aggarwal & Tomasz Karol Maszczyk & Mohamed Salahuddin Habibullah & Brahim Hamadicharef - 4963-4975 Industrial vision inspection using digital twins: bridging CAD models and realistic scenarios
by Fangjun Wang & Jianhao Wu & Zhouwang Yang & Yanzhi Song - 4977-4995 Web tension AI modeling and reconstruction for digital twin of roll-to-roll system
by Anton Nailevich Gafurov & Jaeyoung Kim & Inyoung Kim & Taik-Min Lee - 4997-5013 Dynamic confidence-based constraint adjustment in distributional constrained policy optimization: enhancing supply chain management through adaptive reinforcement learning
by Youness Boutyour & Abdellah Idrissi - 5015-5033 Automated model selection for multivariate anomaly detection in manufacturing systems
by Hendrik Engbers & Michael Freitag - 5035-5050 Fast and efficient computing for deep learning-based defect detection models in lightweight devices
by Alparslan Fişne & Alperen Kalay & Süleyman Eken - 5051-5065 Hard task-based dual-aligned meta-transfer learning for cross-domain few-shot fault diagnosis
by Zhiwu Shang & Hu Liu & Wanxiang Li & Zhihua Wu & Hongchuan Cheng - 5067-5086 Open-set domain adaptation fusion method based on weighted adversarial learning for machinery fault diagnosis
by Bo She & Fangyin Tan & Yang Zhao & Haidi Dong - 5087-5111 Adaptive fabrication of material extrusion-AM process using machine learning algorithms for print process optimization
by S. Sridhar & K. Venkatesh & G. Revathy & M. Venkatesan & R. Venkatraman - 5113-5139 A feature extraction method for intelligent chatter detection in the milling process
by Khairul Jauhari & Achmad Zaki Rahman & Mahfudz Huda & Muizuddin Azka & Achmad Widodo & Toni Prahasto - 5141-5161 Deep convolutional neural network object net model based cognitive digital twin for trust in human–robot collaborative manufacturing
by A. Ramkumar & Gopinath Balasubramanian - 5163-5178 Welding defects recognition based on DCP-MobileViT network
by Yue Zhang & Qiang Zhan - 5179-5195 Vision-centric 3D point cloud technique and custom gripper process for parcel depalletisation
by Seongje Kim & Kwang-Hee Lee & Changgyu Kim & Jonghun Yoon
August 2025, Volume 36, Issue 6
- 3669-3693 A review and classification of manufacturing ontologies
by Patrick Sapel & Lina Molinas Comet & Iraklis Dimitriadis & Christian Hopmann & Stefan Decker - 3695-3715 Cognitive manufacturing: definition and current trends
by Fadi El Kalach & Ibrahim Yousif & Thorsten Wuest & Amit Sheth & Ramy Harik - 3717-3739 Revolutionizing sheet metal stamping through industry 5.0 digital twins: a comprehensive review
by Ossama Abou Ali Modad & Jason Ryska & Abdallah Chehade & Georges Ayoub - 3741-3759 Design patterns of deep reinforcement learning models for job shop scheduling problems
by Shiyong Wang & Jiaxian Li & Qingsong Jiao & Fang Ma - 3761-3781 Prediction of aircraft panel assembly deformation using a combined prediction model
by Zhenchao Qi & Lunqian Liu & Wei Tian & Ping Wang & Ziqin Zhang - 3783-3800 Development of a mobile 3D printer and comparative evaluation against traditional gantry systems
by Abdullah Alhijaily & Abdulrahman Alqarni & Zekai Murat Kilic & Paulo Bartolo - 3801-3815 Unsupervised exceptional human action detection from repetition of human assembling tasks using entropy signal clustering
by Chao-Lung Yang & Shang-Che Hsu & Yu-Chung Kang & Jing-Feng Nian & Andi Cakravastia - 3817-3841 Energy-efficient tool path generation and expansion optimisation for five-axis flank milling with meta-reinforcement learning
by Fengyi Lu & Guanghui Zhou & Chao Zhang & Yang Liu & Fengtian Chang & Qi Lu & Zhongdong Xiao - 3843-3868 Subpixel keypoint localization and angle prediction for lithography marks based on deep learning
by Yulong Li & Yangjie Cao & Shijiao Li & Hui Tian & Guochen Qi & Ronghan Wei - 3869-3885 Area of interest algorithm for surface deflection areas
by Christoph Babel & Mahish Guru & Jakob Weiland & Markus Bambach - 3887-3922 Deep learning based self-adaptive modeling of multimode continuous manufacturing processes and its application to rotary drying process
by Tianyu Wang & Ruixiang Zheng & Mian Li & Changbing Cai & Siqi Zhu & Yangbing Lou - 3923-3940 Machining accuracy prediction and adaptive compensation method of CNC machine tool under absence of machining process sensing
by Jiacheng Sun & Zhenyu Liu & Chan Qiu & Jingqian Luo & Liang He & Hui Liu & Guodong Sa & Zhengyang Jiang & Jianrong Tan - 3941-3964 A quantitative study of data aggregation for a network design problem: a case of automotive distribution
by Suzanne Bihan & Gülgün Alpan & Bernard Penz - 3965-3982 Incremental transfer learning for robot drilling state monitoring under multiple working conditions
by Jian Shi & Xingwei Zhao & Bo Tao & Zhouping Tang & Tao Ding & Hao Lu & Taiwen Qiu & Danyang Chen - 3983-4003 Change is safer: a dynamic safety stock model for inventory management of large manufacturing enterprise based on intermittent time series forecasting
by Lilin Fan & Zhaoyu Song & Wentao Mao & Tiejun Luo & Wanting Wang & Kai Yang & Fukang Cao - 4005-4023 Research on salient object detection algorithm for complex electrical components
by Jinyu Tian & Zhiqiang Zeng & Zhiyong Hong & Dexin Zhen - 4025-4037 Dual visual inspection for automated quality detection and printing optimization of two-photon polymerization based on deep learning
by Ningning Hu & Lujia Ding & Lijun Men & Wenju Zhou & Wenjun Zhang & Ruixue Yin - 4039-4053 A chip inspection system based on a multiscale subarea attention network
by Yun Hou & Hong Fan & Ying Chen & Guangshuai Liu - 4055-4081 Prediction of crater morphology and its application for enhancing dimensional accuracy in micro-EDM
by Zequan Yao & Long Ye & Ming Wu & Jun Qian & Dominiek Reynaerts - 4083-4103 A digital twin approach for weld penetration prediction of tig welding with dual ellipsoid heat source
by Huangyi Qu & Jianhao Chen & Yi Cai - 4105-4127 Allocation of geometrical errors for developing precision measurement machine
by Tao Lai & Junfeng Liu & Fulei Chen & Zelong Li & Chaoliang Guan & Huang Li & Chao Xu & Hao Hu & Yifan Dai & Shanyong Chen & Zhongxiang Dai - 4129-4141 Improved wafer map defect pattern classification using automatic data augmentation based lightweight encoder network in contrastive learning
by Yi Sheng & Jinda Yan & Minghao Piao - 4143-4199 Trigonometric-based mechanisms hybridized African vulture optimization algorithm for multi-manned disassembly line balancing involving worker heterogeneity and collaboration
by Yufan Huang & Binghai Zhou - 4201-4216 Efficient textile anomaly detection via memory guided distillation network
by Jingyu Yang & Haochen Wang & Ziyang Song & Feng Guo & Huanjing Yue - 4217-4232 Foreground–background separation transformer for weakly supervised surface defect detection
by Xiaoheng Jiang & Jian Feng & Feng Yan & Yang Lu & Quanhai Fa & Wenjie Zhang & Mingliang Xu - 4233-4249 MPTP-Net: melt pool temperature profile network for thermal field modeling in beam shaping of laser powder bed fusion
by Shengli Xu & Rahul Rai & Robert D. Moore & Giovanni Orlandi & Fadi Abdeljawad - 4251-4267 Two-phase cost-sensitive-learning-based framework on customer-side quality inspection for TFT-LCD industry
by Ming-Sung Shih & James C. Chen & Tzu-Li Chen & Ching-Lan Hsu - 4269-4282 Stable pushing in narrow passage environment using a modified hybrid A* algorithm
by Kuan-Cheng Kuo & Kuei-Yuan Chan - 4283-4303 Design of multi-modal feedback channel of human–robot cognitive interface for teleoperation in manufacturing
by Chen Zheng & Kangning Wang & Shiqi Gao & Yang Yu & Zhanxi Wang & Yunlong Tang - 4305-4318 Enhancing weld line visibility prediction in injection molding using physics-informed neural networks
by Andrea Pieressa & Giacomo Baruffa & Marco Sorgato & Giovanni Lucchetta - 4319-4330 Multi-channel anomaly detection using graphical models
by Bernadin Namoano & Christina Latsou & John Ahmet Erkoyuncu - 4331-4350 Optimization framework of laser oscillation welding based on a deep predictive reward reinforcement learning net
by Wenhao Tian & Peipei Hu & Chen Zhang - 4351-4363 A physically-informed machine learning model for freeform bending
by Philipp Lechner & Lorenzo Scandola & Daniel Maier & Christoph Hartmann & Yevgen Rizaiev & Mona Lieb - 4365-4387 Remaining useful life prediction of milling cutters based on long-term data sequence and parallel fully convolutional feature learning
by Liang Chen & Hongli Gao & Liang Guo & Yi Sun & Yuncong Lei & Junhua Liang - 4389-4409 A comparison study on anomaly detection methods in manufacturing process monitoring with X-ray images
by Congfang Huang & David Blondheim & Shiyu Zhou
June 2025, Volume 36, Issue 5
- 2939-2958 Modeling supply chain resilience drivers in the context of COVID-19 in manufacturing industries: leveraging the advantages of approximate fuzzy DEMATEL
by Md. Rayhan Sarker & Md. Sazid Rahman & Syed Mithun Ali & Niamat Ullah Ibne Hossain & Ernesto D. R. Santibanez Gonzalez - 2959-2982 Multi-agent cooperative swarm learning for dynamic layout optimisation of reconfigurable robotic assembly cells based on digital twin
by Likun Wang & Zi Wang & Kevin Gumma & Alison Turner & Svetan Ratchev - 2983-3008 Leveraging computer vision towards high-efficiency autonomous industrial facilities
by Ibrahim Yousif & Liam Burns & Fadi El Kalach & Ramy Harik - 3009-3030 Quantile regression-enriched event modeling framework for dropout analysis in high-temperature superconductor manufacturing
by Mai Li & Ying Lin & Qianmei Feng & Wenjiang Fu & Shenglin Peng & Siwei Chen & Mahesh Paidpilli & Chirag Goel & Eduard Galstyan & Venkat Selvamanickam - 3031-3049 Unknown-class recognition adversarial network for open set domain adaptation fault diagnosis of rotating machinery
by Ke Wu & Wei Xu & Qiming Shu & Wenjun Zhang & Xiaolong Cui & Jun Wu - 3051-3065 Continual learning for surface defect segmentation by subnetwork creation and selection
by Aleksandr Dekhovich & Miguel A. Bessa - 3067-3095 Robust image-based cross-sectional grain boundary detection and characterization using machine learning
by Nicholas Satterlee & Runjian Jiang & Eugene Olevsky & Elisa Torresani & Xiaowei Zuo & John S. Kang - 3097-3109 Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds
by Zeeshan Qaiser & Kunlin Yang & Rui Chen & Shane Johnson - 3111-3127 Remaining useful life prediction based on parallel multi-scale feature fusion network
by Yuyan Yin & Jie Tian & Xinfeng Liu - 3129-3141 Warpage detection in 3D printing of polymer parts: a deep learning approach
by Vivek V. Bhandarkar & Ashish Kumar & Puneet Tandon - 3143-3163 Lightweight convolutional neural network for fast visual perception of storage location status in stereo warehouse
by Liangrui Zhang & Xi Zhang & Mingzhou Liu - 3165-3183 A Generative AI approach to improve in-situ vision tool wear monitoring with scarce data
by Alberto Garcia-Perez & Maria Jose Gomez-Silva & Arturo de la Escalera-Hueso - 3185-3206 Selecting subsets of source data for transfer learning with applications in metal additive manufacturing
by Yifan Tang & Mostafa Rahmani Dehaghani & Pouyan Sajadi & G. Gary Wang - 3207-3226 MSOA: A modular service-oriented architecture to integrate mobile manipulators as cyber-physical systems
by Nooshin Ghodsian & Khaled Benfriha & Adel Olabi & Varun Gopinath & Esma Talhi & Lucas Hof & Aurélien Arnou - 3227-3248 Defining a feature-level digital twin process model by extracting machining features from MBD models for intelligent process planning
by Jingjing Li & Guanghui Zhou & Chao Zhang & Junsheng Hu & Fengtian Chang & Andrea Matta - 3249-3270 A novel method based on deep learning algorithms for material deformation rate detection
by Selim Özdem & İlhami Muharrem Orak - 3271-3284 A multimodal fusion method for soldering quality online inspection
by Jian Xie & Yu Guo & Daoyuan Liu & Shaohua Huang & Kaiwen Zheng & Yaning Tao - 3285-3312 Global receptive field graph attention network for unsupervised domain adaptation fault diagnosis in variable operating conditions
by Meiling Cai & Sheng Chen & Jinping Liu & Yimei Yang & Lihui Cen - 3313-3325 Multi-modal background-aware for defect semantic segmentation with limited data
by Dexing Shan & Yunzhou Zhang & Shitong Liu - 3327-3343 Three-dimensional fabric smoothness evaluation using point cloud data for enhanced quality control
by Zhijie Yuan & Binjie Xin & Jing Zhang & Yingqi Xu - 3345-3358 Use of machine learning models in condition monitoring of abrasive belt in robotic arm grinding process
by Mochamad Denny Surindra & Gusti Ahmad Fanshuri Alfarisy & Wahyu Caesarendra & Mohamad Iskandar Petra & Totok Prasetyo & Tegoeh Tjahjowidodo & Grzegorz M. Królczyk & Adam Glowacz & Munish Kumar Gupta - 3359-3397 Sparse deep encoded features with enhanced sinogramic red deer optimization for fault inspection in wafer maps
by Doaa A. Altantawy & Mohamed A. Yakout - 3399-3425 Real-time monitoring of molten zinc splatter using machine learning-based computer vision
by Callum O’Donovan & Cinzia Giannetti & Cameron Pleydell-Pearce - 3427-3445 An automatic inspection system for the detection of tire surface defects and their severity classification through a two-stage multimodal deep learning approach
by Thomas Mignot & François Ponchon & Alexandre Derville & Stefan Duffner & Christophe Garcia - 3447-3463 Flexible and robust detection for assembly automation with YOLOv5: a case study on HMLV manufacturing line
by Alexej Simeth & Atal Anil Kumar & Peter Plapper - 3465-3479 Detecting and classifying hidden defects in additively manufactured parts using deep learning and X-ray computed tomography
by Miles V. Bimrose & Tianxiang Hu & Davis J. McGregor & Jiongxin Wang & Sameh Tawfick & Chenhui Shao & Zuozhu Liu & William P. King - 3481-3481 Correction: Detecting and classifying hidden defects in additively manufactured parts using deep learning and X-ray computed tomography
by Miles V. Bimrose & Tianxiang Hu & Davis J. McGregor & Jiongxin Wang & Sameh Tawfick & Chenhui Shao & Zuozhu Liu & William P. King - 3483-3508 Towards autonomous learning and optimisation in textile production: data-driven simulation approach for optimiser validation
by Ruben Kins & Christian Möbitz & Thomas Gries - 3509-3526 A data-driven time-sequence feature-based composite network of time-distributed CNN-LSTM for detecting pore defects in laser penetration welding
by Shenghong Yan & Bo Chen & Caiwang Tan & Xiaoguo Song & Guodong Wang