Computers in Industry

Papers
(The TQCC of Computers in Industry is 26. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Deep learning-based digitalization of a part catalog book to generate part specification by a neutral reference data dictionary611
Editorial Board296
Throughput analysis of conveyor systems involving multiple materials based on capability decomposition209
Discovering data spaces: A classification of design options195
Research on autonomous positioning and adaptive compliant plugging strategies of intelligent charging robots188
Forecasting for lead-time period by temporal aggregation: Whether to combine and how160
An ontology-based retrieval augmented generation procedure for a voice-controlled maintenance assistant144
Selection framework of visualization methods in designing AR industrial task-support systems141
Learning human-process interaction in manual manufacturing job shops through indoor positioning systems138
An ontology for reasoning over engineering textual data stored in FMEA spreadsheet tables137
SRLFormer: Single Retinex-based and low-light image guidance Transformer for low-light image enhancement136
D3 framework: An evidence-based data-driven design framework for new product service development135
OpenTwins: An open-source framework for the development of next-gen compositional digital twins133
Knowledge-based digital twin system: Using a knowlege-driven approach for manufacturing process modeling126
Leveraging asymmetric price limits for financial stability in industrial applications: An agent-based model118
Towards live decision-making for service-based production: Integrated process planning and scheduling with Digital Twins and Deep-Q-Learning115
Editorial Board107
Editorial Board101
Knowledge-Enhanced Spatiotemporal Analysis for Anomaly Detection in Process Manufacturing99
An unsupervised approach for health index building and for similarity-based remaining useful life estimation99
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples95
A hybrid data-driven and mechanistic model soft sensor for estimating CO2 concentrations for a carbon capture pilot plant93
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems89
Industrial Internet of Things: Implementations, challenges, and potential solutions across various industries88
A method for the automated digitalization of fluid circuit diagrams87
EA-GAT: Event aware graph attention network on cyber-physical systems85
Fleet Profile: Using visual analytics to prospect logistic solutions in industrial vehicles fleet76
A new approach to 3D pattern-making for the apparel industry: Graphic coding-based localization73
A deep transfer learning model for online monitoring of surface roughness in milling with variable parameters72
A machine learning framework with dataset-knowledgeability pre-assessment and a local decision-boundary crispness score: An industry 4.0-based case study on composite autoclave manufacturing71
Editorial Board71
Editorial Board68
Streamlining Assembly Instruction Design (S-AID): A comprehensive systematic framework65
Implementation of a scalable platform for real-time monitoring of machine tools62
A collaborative knowledge-based method for the interactive development of cabin systems in virtual reality62
A data-driven approach toward a machine- and system-level performance monitoring digital twin for production lines61
Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction61
A data-driven, comparative review of the academic literature and news media on blockchain-enabled supply chain management: Trends, gaps, and research needs59
Real-time detection of surface cracking defects for large-sized stamped parts59
Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks59
Detection and localization of fugitive emissions in industrial plants using surveillance cameras58
Immersive Virtual Reality for procedural training: Comparing traditional and learning by teaching approaches58
A novel framework for low-contrast and random multi-scale blade casting defect detection by an adaptive global dynamic detection transformer57
Satellite Reference Databases scope and data organization: A literature review56
An Open Data Repository for Engineering Design: Using Text Mining with Open Government Data55
WETA: Automatic taxonomy alignment via word embeddings54
A novel paradigm for predicting and interpreting uneven roll wear in the hot rolling steel industry54
Digital twin composition in smart manufacturing via Markov decision processes53
Multi-scale feature pyramid approach for melt track classification in laser powder bed fusion via coaxial high-speed imaging53
Mode division-based anomaly detection against integrity and availability attacks in industrial cyber-physical systems51
ICSSIM — A framework for building industrial control systems security testbeds51
Unlocking inherent values of manufacturing metadata through digital characteristics (DC) alignment50
The OMiLAB Digital Innovation environment: Agile conceptual models to bridge business value with Digital and Physical Twins for Product-Service Systems development49
Integration of industry 4.0 technologies for agri-food supply chain resilience48
Linking permissioned blockchain to Internet of Things (IoT)-BIM platform for off-site production management in modular construction47
Human Digital Twins: A systematic literature review and concept disambiguation for industry 5.047
A graph-based approach for module library development in industrialized construction46
Integrating NLP and context-free grammar for complex rule interpretation towards automated compliance checking46
Anomaly detection in smart agriculture systems45
Integration of TLS-derived Bridge Information Modeling (BrIM) with a Decision Support System (DSS) for digital twinning and asset management of bridge infrastructures45
Toward Zero Defect Manufacturing with the support of Artificial Intelligence—Insights from an industrial application45
Supporting business process variability through declarative process families44
Process mining beyond workflows43
Evaluating the noise tolerance of Cloud NLP services across Amazon, Microsoft, and Google43
Editorial Board43
Unsupervised neural network-enabled spatial-temporal analytics for data authenticity under environmental smart reporting system42
Model-based data integration along the product & service life cycle supported by digital twinning42
Full-cycle data purification strategy for multi-type weld seam classification with few-shot learning42
Smart contract swarm and multi-branch structure for secure and efficient BIM versioning in blockchain-aided common data environment41
Question answering models for human–machine interaction in the manufacturing industry41
Generation of material handling system alternatives: A constraints satisfaction problem approach41
Semi-automatic representation of design code based on knowledge graph for automated compliance checking40
Operational process monitoring: An object-centric approach40
Few-shot semantic segmentation for industrial defect recognition39
A hierarchical Bayesian regression framework for enabling online reliability estimation and condition-based maintenance through accelerated testing39
A comparative study of Augmented Reality rendering techniques for industrial assembly inspection39
Empirical mode reconstruction: Preserving intrinsic components in data augmentation for intelligent fault diagnosis of civil aviation hydraulic pumps39
An adaptive image enhancement approach for safety monitoring robot under insufficient illumination condition38
A reliable and ensemble forecasting model for slow-moving and repairable spare parts: Data mining approach38
Interactions between BIM and robotics: Towards intelligent construction engineering and management38
Sensory augmentation for subsea robot teleoperation37
Editorial Board37
A VGGNet-like approach for classifying and segmenting coal dust particles with overlapping regions37
A machine-learning based data-oriented pipeline for Prognosis and Health Management Systems37
A generic interface and a framework designed for industrial metrology integration for the Internet of Things36
A novel and scalable multimodal large language model architecture Tool-MMGPT for future tool wear prediction in titanium alloy high-speed milling processes35
Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples35
Predictive modeling of quality characteristics – A case study with the casting industry35
Simulation uncertainty determination of single flank rolling tests using monte carlo simulation and skin model shapes for zero defect manufacturing of micro gears35
Advancing photovoltaic system design: An enhanced social learning swarm optimizer with guaranteed stability35
The quiet revolution in machine vision - a state-of-the-art survey paper, including historical review, perspectives, and future directions34
Digital Twin Stakeholder Communication: Characteristics, Challenges, and Best Practices34
PLM data transformation: A mesoscopic scale perspective and an industrial case study34
Real-time layer height estimation during multi-layer directed energy deposition using domain adaptive neural networks34
Application of MES/MOM for Industry 4.0 supply chains: A cross-case analysis34
Editorial Board33
Augmented reality-computer vision combination for automatic fatigue crack detection and localization33
A decentralised approach to cyber-physical systems as a service: Managing shared access worldwide through blockchain standards33
Automated digital twin generation of manufacturing systems with complex material flows: graph model completion33
TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model32
Multi-step attack detection in industrial control systems using causal analysis32
Interpretable deep learning approach for tool wear monitoring in high-speed milling32
Customization of incentive mechanisms based on product life-cycle phases for an efficient product-service supply chain coordination32
Mapping the hot stamping process through developing distinctive digital characteristics32
State estimation for industrial desiccant air dryers using hybrid mechanistic and machine learning models32
Industrial safety management in the digital era: Constructing a knowledge graph from near misses32
Model-based engineering for designing cyber-physical systems from product specifications31
Deep CNN-based visual defect detection: Survey of current literature31
Advancing zero defect manufacturing: A state-of-the-art perspective and future research directions31
AYOLOv3-Tiny: An improved convolutional neural network architecture for real-time defect detection of PAD light guide plates31
An immersive spatially consistent multi-modal augmented virtuality human-machine interface for telerobotic systems31
Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process31
A method for supporting the transformation of an existing production system with its integrated Enterprise Information Systems (EISs) into a Cyber Physical Production System (CPPS)31
A high-precision detection method for coated fuel particles based on improved faster region-based convolutional neural network31
A lightweight and accurate recognition framework for signs of X-ray weld images30
Impact of generative artificial intelligence models on the performance of citizen data scientists in retail firms30
A novel agile ontology engineering methodology for supporting organizations in collaborative ontology development30
UGP-KD: An unsupervised generalized prediction framework for robot machining quality under historical task knowledge distillation for new tasks30
3D scanning method for robotized inspection of industrial sealed parts30
Dual channel visible graph convolutional neural network for microleakage monitoring of pipeline weld homalographic cracks30
Predictive analysis-based sustainable waste management in smart cities using IoT edge computing and blockchain technology29
Improving aircraft conceptual design through parametric CAD modellers – A case study for thermal analysis of aircraft systems29
Assessing user performance in augmented reality assembly guidance for industry 4.0 operators29
Simulating dynamic RUL based CBM scheduling. A case study in the railway sector29
A survey on machine learning based analysis of heterogeneous data in industrial automation29
A novel graph-based missing values imputation method for industrial lubricant data29
An efficient firefighting method for robotics: A novel convolution-based lightweight network model guided by contextual features with dual attention28
SmartPatch: A patch prioritization framework28
E-fulfillment cost management in omnichannel retailing: An exploratory study28
Detecting coagulation time in cheese making by means of computer vision and machine learning techniques28
Industry 4.0 and potential for reshoring: A typology of technology profiles of manufacturing firms28
Multicriteria decision-making method for scheduling problem based on smart batches and their quality prediction capability28
On the application of extended reality technologies for the evaluation of product characteristics during the initial stages of the product development process28
A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy28
A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing28
Design representation as semantic networks28
Utilizing domain knowledge in data-driven process discovery: A literature review28
A new hazard event classification model via deep learning and multifractal27
A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks27
An evaluation of agile Ontology Engineering Methodologies for the digital transformation of companies27
Information security and value creation: The performance implications of ISO/IEC 2700127
A novel FuseDecode Autoencoder for industrial visual inspection: Incremental anomaly detection improvement with gradual transition from unsupervised to mixed-supervision learning with reduced human ef27
Requirements for the application of the Digital Twin Paradigm to offshore wind turbine structures for uncertain fatigue analysis27
Reinforcement learning based trustworthy recommendation model for digital twin-driven decision-support in manufacturing systems27
A knowledge recommendation approach in design for multi-material 4D printing based on semantic similarity vector space model and case-based reasoning27
Data-driven and autonomous manufacturing control in cyber-physical production systems26
Self-supervised representation learning anomaly detection methodology based on boosting algorithms enhanced by data augmentation using StyleGAN for manufacturing imbalanced data26
A core reference ontology for steelmaking process knowledge modelling and information management26
Deep learning based system for garment visual degradation prediction for longevity26
A blockchain-enabled deep residual architecture for accountable, in-situ quality control in industry 4.0 with minimal latency26
Editorial Board26
Full-field deformation measurement of structural nodes based on panoramic camera and deep learning-based tracking method26
Extended realities and discrete events simulations: A systematic review to define design trade-offs and directions26
Dynamic obstacle avoidance control based on a novel dynamic window approach for agricultural robots26
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