Computers in Industry

Papers
(The TQCC of Computers in Industry is 32. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Deep learning-based digitalization of a part catalog book to generate part specification by a neutral reference data dictionary206
SRLFormer: Single Retinex-based and low-light image guidance Transformer for low-light image enhancement203
A comprehensive survey of image synthesis approaches for Deep Learning-based surface defect detection in manufacturing194
Selection framework of visualization methods in designing AR industrial task-support systems171
Learning human-process interaction in manual manufacturing job shops through indoor positioning systems161
An ontology-based retrieval augmented generation procedure for a voice-controlled maintenance assistant158
Research on autonomous positioning and adaptive compliant plugging strategies of intelligent charging robots142
Forecasting for lead-time period by temporal aggregation: Whether to combine and how140
Discovering data spaces: A classification of design options133
SAG: A Session-Augmented Heterogeneous Graph-based model for Named Entity Recognition in query126
Editorial Board124
Editorial Board121
Leveraging asymmetric price limits for financial stability in industrial applications: An agent-based model111
A lightweight steel strip defect texture recognition network based on improved learnable Gabor filter convolution99
Towards live decision-making for service-based production: Integrated process planning and scheduling with Digital Twins and Deep-Q-Learning92
A semi-automated compliance checking framework for shield tunnel design integrating ontology and natural language processing92
D3 framework: An evidence-based data-driven design framework for new product service development91
An unsupervised approach for health index building and for similarity-based remaining useful life estimation90
A hybrid data-driven and mechanistic model soft sensor for estimating CO2 concentrations for a carbon capture pilot plant88
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems88
Knowledge-Enhanced Spatiotemporal Analysis for Anomaly Detection in Process Manufacturing88
Knowledge-based digital twin system: Using a knowlege-driven approach for manufacturing process modeling86
OpenTwins: An open-source framework for the development of next-gen compositional digital twins85
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples84
Industrial Internet of Things: Implementations, challenges, and potential solutions across various industries81
Editorial Board79
Editorial Board78
A method for the automated digitalization of fluid circuit diagrams76
Zero-shot printed circuit board defect detection via optical flow and reconstruction guidance72
EA-GAT: Event aware graph attention network on cyber-physical systems72
Streamlining Assembly Instruction Design (S-AID): A comprehensive systematic framework70
A data-driven approach toward a machine- and system-level performance monitoring digital twin for production lines69
A novel interval-valued carbon price forecasting paradigm: multi-factor intelligent recognition-based ensemble learning69
A data-driven, comparative review of the academic literature and news media on blockchain-enabled supply chain management: Trends, gaps, and research needs68
Implementation of a scalable platform for real-time monitoring of machine tools68
Immersive Virtual Reality for procedural training: Comparing traditional and learning by teaching approaches68
Fleet Profile: Using visual analytics to prospect logistic solutions in industrial vehicles fleet64
Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks63
Real-time detection of surface cracking defects for large-sized stamped parts63
Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction63
A deep transfer learning model for online monitoring of surface roughness in milling with variable parameters62
An agent-based approach for the automatic generation of valid SysMLv2 Models in industrial contexts62
A fuzzy feature integration-enhanced network for surface defect detection of no-service rails61
A graph-based approach for module library development in industrialized construction59
Satellite Reference Databases scope and data organization: A literature review58
Unlocking inherent values of manufacturing metadata through digital characteristics (DC) alignment58
Detection and localization of fugitive emissions in industrial plants using surveillance cameras58
Multi-scale feature pyramid approach for melt track classification in laser powder bed fusion via coaxial high-speed imaging58
Digital twin composition in smart manufacturing via Markov decision processes57
Integration of industry 4.0 technologies for agri-food supply chain resilience57
An Open Data Repository for Engineering Design: Using Text Mining with Open Government Data56
Integrating NLP and context-free grammar for complex rule interpretation towards automated compliance checking56
A novel paradigm for predicting and interpreting uneven roll wear in the hot rolling steel industry55
Human Digital Twins: A systematic literature review and concept disambiguation for industry 5.055
Enhanced vision-based structural displacement monitoring through deep learning approaches54
A novel framework for low-contrast and random multi-scale blade casting defect detection by an adaptive global dynamic detection transformer52
Anomaly detection in smart agriculture systems52
ICSSIM — A framework for building industrial control systems security testbeds52
Enhancing retrieval-augmented generation for interoperable industrial knowledge representation and inference toward cognitive digital twins51
Toward Zero Defect Manufacturing with the support of Artificial Intelligence—Insights from an industrial application51
Supporting business process variability through declarative process families50
Integration of TLS-derived Bridge Information Modeling (BrIM) with a Decision Support System (DSS) for digital twinning and asset management of bridge infrastructures50
A reliable and ensemble forecasting model for slow-moving and repairable spare parts: Data mining approach49
Editorial Board49
A short-term integrated wind speed prediction system based on fuzzy set feature extraction and intelligent optimization49
Operational process monitoring: An object-centric approach49
A comparative study of Augmented Reality rendering techniques for industrial assembly inspection48
A machine-learning based data-oriented pipeline for Prognosis and Health Management Systems48
Semi-automatic representation of design code based on knowledge graph for automated compliance checking48
Full-cycle data purification strategy for multi-type weld seam classification with few-shot learning48
Few-shot semantic segmentation for industrial defect recognition47
Robust non-contact material recognition for robots in extreme and dynamic environments47
Unsupervised neural network-enabled spatial-temporal analytics for data authenticity under environmental smart reporting system47
Smart contract swarm and multi-branch structure for secure and efficient BIM versioning in blockchain-aided common data environment47
Evaluating the noise tolerance of Cloud NLP services across Amazon, Microsoft, and Google47
A sensor-integrated digital twin framework for molten pool monitoring of laser powder bed fusion47
Process mining beyond workflows47
A controllable generative design framework for residential communities with multi-scale architectural representations47
Interactions between BIM and robotics: Towards intelligent construction engineering and management46
Generation of material handling system alternatives: A constraints satisfaction problem approach46
An adaptive image enhancement approach for safety monitoring robot under insufficient illumination condition46
Question answering models for human–machine interaction in the manufacturing industry45
A hierarchical Bayesian regression framework for enabling online reliability estimation and condition-based maintenance through accelerated testing45
Model-based data integration along the product & service life cycle supported by digital twinning45
Editorial Board44
Towards intelligent knowledge assistance in abrasive belt grinding via a retrieval-augmented generation chatbot with reliability support44
Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples43
PLM data transformation: A mesoscopic scale perspective and an industrial case study43
A lightweight transformer winding condition assessment method with multi-scale image fusion and an improved attention mechanism43
Augmented reality-computer vision combination for automatic fatigue crack detection and localization43
Predictive modeling of quality characteristics – A case study with the casting industry43
Simulation uncertainty determination of single flank rolling tests using monte carlo simulation and skin model shapes for zero defect manufacturing of micro gears43
A novel and scalable multimodal large language model architecture Tool-MMGPT for future tool wear prediction in titanium alloy high-speed milling processes42
Advancing photovoltaic system design: An enhanced social learning swarm optimizer with guaranteed stability41
Real-time layer height estimation during multi-layer directed energy deposition using domain adaptive neural networks41
Digital Twin Stakeholder Communication: Characteristics, Challenges, and Best Practices41
Editorial Board41
Sensory augmentation for subsea robot teleoperation41
Attentive neural processes based on reliable inferences for industrial equipment anomaly detection41
Application of MES/MOM for Industry 4.0 supply chains: A cross-case analysis41
Automated digital twin generation of manufacturing systems with complex material flows: graph model completion41
Industrial safety management in the digital era: Constructing a knowledge graph from near misses40
Mapping the hot stamping process through developing distinctive digital characteristics40
Multi-step attack detection in industrial control systems using causal analysis40
CASIA-Net: An indoor work site smoking detection framework40
A decentralised approach to cyber-physical systems as a service: Managing shared access worldwide through blockchain standards39
Deep CNN-based visual defect detection: Survey of current literature39
State estimation for industrial desiccant air dryers using hybrid mechanistic and machine learning models39
From Ontologies to Knowledge Augmented Large Language Models for Automation: A decision-making guidance for achieving human–robot collaboration in Industry 5.039
TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model39
Editorial Board38
Model-based engineering for designing cyber-physical systems from product specifications38
A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing38
A novel graph-based missing values imputation method for industrial lubricant data38
A high-precision detection method for coated fuel particles based on improved faster region-based convolutional neural network38
An immersive spatially consistent multi-modal augmented virtuality human-machine interface for telerobotic systems38
Simulating dynamic RUL based CBM scheduling. A case study in the railway sector38
UGP-KD: An unsupervised generalized prediction framework for robot machining quality under historical task knowledge distillation for new tasks38
Impact of generative artificial intelligence models on the performance of citizen data scientists in retail firms37
Predictive analysis-based sustainable waste management in smart cities using IoT edge computing and blockchain technology37
Dual channel visible graph convolutional neural network for microleakage monitoring of pipeline weld homalographic cracks37
A novel agile ontology engineering methodology for supporting organizations in collaborative ontology development37
Assessing user performance in augmented reality assembly guidance for industry 4.0 operators36
A novel FuseDecode Autoencoder for industrial visual inspection: Incremental anomaly detection improvement with gradual transition from unsupervised to mixed-supervision learning with reduced human ef36
A survey on machine learning based analysis of heterogeneous data in industrial automation36
3D scanning method for robotized inspection of industrial sealed parts36
Industry 4.0 and potential for reshoring: A typology of technology profiles of manufacturing firms35
An efficient firefighting method for robotics: A novel convolution-based lightweight network model guided by contextual features with dual attention35
Editorial Board35
E-fulfillment cost management in omnichannel retailing: An exploratory study35
Segmentation, correction, and classification of abnormal sensor data in mechanical engineering based on multi-task learning35
On the application of extended reality technologies for the evaluation of product characteristics during the initial stages of the product development process34
A knowledge recommendation approach in design for multi-material 4D printing based on semantic similarity vector space model and case-based reasoning34
A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy34
A new hazard event classification model via deep learning and multifractal34
An evaluation of agile Ontology Engineering Methodologies for the digital transformation of companies34
Literature review and methodological framework for integration of IoT and PLM in manufacturing industry33
Reinforcement learning based trustworthy recommendation model for digital twin-driven decision-support in manufacturing systems33
Requirements for the application of the Digital Twin Paradigm to offshore wind turbine structures for uncertain fatigue analysis33
Editorial Board33
Information security and value creation: The performance implications of ISO/IEC 2700133
Design representation as semantic networks33
A review of digital twins in smart industries: Concepts, milestones, trends, applications, opportunities and challenges33
A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks33
Detecting coagulation time in cheese making by means of computer vision and machine learning techniques33
Full-field deformation measurement of structural nodes based on panoramic camera and deep learning-based tracking method32
An industrial agent-based customizable platform for I4.0 manufacturing systems32
Extended realities and discrete events simulations: A systematic review to define design trade-offs and directions32
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