Advanced Engineering Informatics

Papers
(The TQCC of Advanced Engineering Informatics is 22. 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
Multi-stage rotors assembly of turbine-based combined cycle engine based on augmented reality417
A hybrid approach to system verification in early design for complex mechatronic systems based on formal functional semantics326
Sandpile-simulation-based graph data model for MVD generative design of shield tunnel lining using information entropy251
Decentralized coordination of intelligent system of systems under partial observability241
DD-DETR: A dual-decoder DETR with information interaction and competitive learning for blade surface defect detection233
A holistic performance evaluation framework of enterprise product service innovation based on intelligent collaborative222
TM-RAG: A Tree-Mapped Retrieval-Augmented generation framework for construction claim report generation201
Morphology agnostic gesture mapping for intuitive teleoperation of construction robots192
Customized obstacle detection system for High-Speed Railways: A novel approach toward intelligent rail transportation186
Underwater dam surface image enhancement method based on multi-feature fusion and expert collaborative learning178
Multivariate forecasting of energy demand using recurrent neural networks166
Efficient resource prediction framework for software-defined heterogeneous radio environmental infrastructures162
Implicitly physics-informed multi-fidelity physical field data fusion method based on Taylor modal decomposition159
Climate-resilient epoxy asphalt mixture design: An intelligent framework159
A digital twin system for Task-Replanning and Human-Robot control of robot manipulation153
Assessment of agricultural sustainability in agro-climatic regions of India: A single-valued neutrosophic distance measure-based hybrid ranking framework149
An improved penalty kriging method for mixed qualitative and quantitative factors148
A pruned-optimized weighted graph convolutional network for axial flow pump fault diagnosis with hydrophone signals139
Self-X-based secure human-cyber-physical system (SSHCPS) for autonomous manufacturing in the era of industry 5.0136
Human-centric proactive design for manufacturing with deep generative modeling in Industry 5.0130
Deep stacked state-observer based neural network (DSSO-NN): A new network for system dynamics modeling and application in bearing127
A semantic data-driven knowledge base construction method to assist designers in design inspiration based on traditional motifs126
The LPST-Net: A new deep interval health monitoring and prediction framework for bearing-rotor systems under complex operating conditions126
A hybrid data-physics framework with conformal GNN for enhanced damage identification124
Enhancing fairness and efficiency in tourism accommodation selection: A probabilistic linguistic approach with social network integration123
A federated cross-machine diagnostic framework for machine-level motors with extreme label shortage123
Physics-informed few-shot learning for wind pressure prediction of low-rise buildings121
Main girder dynamic alignment reconstruction of cable-stayed bridge based on physics-informed neural network118
A hybrid sensor fault detection and diagnosis method for air-handling unit based on multivariate analysis merged with deep learning117
CAMHighways: The Cambridge Highways dataset117
A privacy-preserving and unobtrusive sitting posture recognition system via pressure array sensor and infrared array sensor for office workers114
Automated fire risk assessment and mitigation in building blueprints using computer vision and deep generative models112
A deep learning method for predicting the displacement of concrete arch dams considering the effect of cracks111
LGGFormer: A dual-branch local-guided global self-attention network for surface defect segmentation109
The human-centric framework integrating knowledge distillation architecture with fine-tuning mechanism for equipment health monitoring105
Tailoring ontology retrieval for supporting requirements analysis104
A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision103
A rollout heuristic-reinforcement learning hybrid algorithm for disassembly sequence planning with uncertain depreciation condition and diversified recovering strategies103
Graph-based learning for automated code checking – Exploring the application of graph neural networks for design review102
Intelligent assembly modeling of complex product based on cognition of interaction structures101
Knowledge graph construction for product designs from large CAD model repositories101
D3QN-LMA: A memory-augmented deep reinforcement learning framework for energy-latency tradeoff optimization in mobile edge computing101
A novel DT-based intelligent experiment method for complex industrial products100
An integrated consensus reaching process for product appearance design decision-making: Combining trust and empathy relationships99
Adaptive thresholding and coordinate attention-based tree-inspired network for aero-engine bearing health monitoring under strong noise99
Improving construction contract question answering through embedding optimization and semantic chunking in large language models98
Product line design and introduction strategies for crowdfunding in presence of social learning96
Computer vision-based prediction of quality and mechanical properties of wooden lamellae95
A general and efficient approach for uncertainty quantification in neural networks: Identifying risky decisions in AI systems93
Enhancing aviation safety and mitigating accidents: A study on aviation safety hazard identification89
Improving the performance of RRT path planning of excavators by embedding heuristic rules89
A new convolutional dual-channel Transformer network with time window concatenation for remaining useful life prediction of rolling bearings89
Semantic web-based automated compliance checking with integration of Finite Element analysis88
A modified active learning intelligent fault diagnosis method for rolling bearings with unbalanced samples85
Hybrid large language model approach for prompt and sensitive defect management: A comparative analysis of hybrid, non-hybrid, and GraphRAG approaches85
Real-time scheduling for distributed permutation flowshops with dynamic job arrivals using deep reinforcement learning85
Collaborative task of entity and relation recognition for developing a knowledge graph to support knowledge reasoning for design for additive manufacturing84
An unsupervised approach to early fault detection and performance degradation assessment in bearings83
Open-set classification method via latent representation prompt and time–frequency fusion toward unknown fault recognition83
An intelligent customized design method for complex products under the influence of dynamic uncertainty82
End-to-end point cloud-based segmentation of building members for automating dimensional quality control82
An advanced retrieval-augmented generation system for manufacturing quality control82
OntoBPR: An ontology-based framework for performing building permit reviews using standardized information containers82
A simulation-to-reality transfer learning method based on Kolmogorov-Arnold network enhanced model for bearing fault diagnosis81
An integrated MEREC-taxonomy methodology using T-spherical fuzzy information: An application in smart farming decision analytics81
Improving 2D displacement accuracy in bridge vibration measurement with color space fusion and super resolution80
Data-driven learning-based Model Predictive Control for energy-intensive systems80
Physics-informed deep learning method for surface roughness prediction in milling process80
Towards smart product-service systems 2.0: A retrospect and prospect78
Physics-informed self-supervised learning for tool wear monitoring leveraging signal and degradation features under limited labels77
Optimal design of multi-type component allocation system with shared positions77
Task offloading with enhanced Deep Q-Networks for efficient industrial intelligent video analysis in edge–cloud collaboration77
AIN-YOLO: A lightweight YOLO network with attention-based InceptionNext and knowledge distillation for underwater object detection75
Exploiting relation of video segments for temporal action detection74
Automated data-driven method for creating digital building models from dense point clouds and images through semantic segmentation and parametric model fitting74
RLLM-SS: A knowledge-guided simplex search method integrating large language model and reinforcement learning for injection molding quality control74
Nonlinear fusion method for multistage product design decision-making using plant growth simulation algorithm74
Do buyer protection mechanisms help sellers? A model of seller competition in the presence of online reputation systems74
Hybridizing WOA with PSO for coordinating material handling equipment in an automated container terminal considering energy consumption74
Uncertainty reports as explainable AI: A cognitive-adaptive framework for human-AI decision systems in context tasks74
Time-stepping transferable neural networks for heat conduction with moving heat sources in additive manufacturing73
Multi-branch PINNs with hybrid Optimization: A Sparse-Data resistivity inversion framework for dam seepage characterization73
Fractional-order PID-based search algorithms: A math-inspired meta-heuristic technique with historical information consideration73
Partner or subordinate? Heterogeneous effects of crane operator workload and collision risk under a binary HMI paradigm72
An automatic measurement system for the wall thickness of corrugated plate based on laser triangulation method71
An unsupervised ensemble learning method for real-time anomaly detections in variable refrigerant flow systems71
Multi-fidelity Kriging method based on active and ensemble learning for structural reliability analysis71
Toward a framework of extracting typical machining process routines based on knowledge representation learning70
Human centric general physical intelligence for agile manufacturing automation70
Dynamic bidding strategy in online advertising: A rollout-tracking bid optimization methodology70
A hierarchical knowledge graph for slab bridges inspection and maintenance70
An order sparse filtering network for interpretable smart gear edge diagnosis under varying speed conditions70
Unpaired image-to-image translation of structural damage69
Product topology optimization design with concurrent consideration of aesthetic characteristic and structural performance69
Modular Autonomous Electric Vehicle scheduling for demand-responsive transit services with modular charging strategy68
Collaborative scheduling of handling equipment in automated container terminals with limited AGV-mates considering energy consumption68
PredMaX: Predictive maintenance with explainable deep convolutional autoencoders68
YOLOv5-SFE: An algorithm fusing spatio-temporal features for detecting and recognizing workers' operating behaviors68
Data-driven generative design for mass customization: A case study68
More will be better: Multi-source-free aggregation adaptation with confidence calibration for fault diagnosis67
An adaptive design optimization method for remanufacturing upgrade of spent products considering bidirectional customization demands67
Determination of workers' compliance to safety regulations using a spatio-temporal graph convolution network67
Deep learning models for efficient geotechnical predictions: reducing training effort and data requirements with transfer learning66
Column generation based hybrid optimization method for last-mile delivery service with autonomous vehicles65
Mitigating traffic oscillations in mixed traffic flow with scalable deep Koopman predictive control65
A new product development method to incorporating customer sensory preferences in food product design65
Augmented reality applications in construction productivity: A systematic literature review65
Digital twins for automotive development: Two wheelers application64
Behavioral modelling of roadway construction workers: Improving deep learning-based trajectory prediction with contextual information in traffic work zones64
Agent technologies in smart manufacturing: A comprehensive review of evolution, architectures, and edge–cloud deployment64
A customer-centric IoT-based novel closed-loop supply chain model for WEEE management64
AI-powered adaptive exoskeletons for long-term musculoskeletal disorder prevention in dynamic construction environments64
Spatio-temporal graph convolutional network with domain generalization: A novel rotating machinery RUL prediction method in small samples63
Multiple path alignment generative adversarial network for rotating Machinery fault diagnosis with limited data63
User-centric immersive virtual reality development framework for data visualization and decision-making in infrastructure remote inspections63
Bridge substructure damage morphology identification based on the underwater sonar point cloud data63
Few-shot learning for structural health diagnosis of civil infrastructure62
Signal-driven interpretable modeling framework for the inverse design of Al/steel ultrasonic-assisted resistance spot welding62
Remaining useful life prediction of bearings based on small-sample enhanced and interpretable transfer learning62
Context-aware AR adaptive information push for product assembly: Aligning information load with human cognitive abilities62
AF-OS-ELM-MVE: A new online sequential extreme learning machine of dam safety monitoring model for structure deformation estimation62
Single image-based Gaussian splatting for 3D reconstruction of movable articulated objects62
Uncertainty-aware Bayesian neural network with SHAP interpretability for data-driven assembly quality prediction in complex manufacturing systems61
Leveraging large language models for Human-Machine collaborative troubleshooting of complex industrial equipment faults61
Dynamic graph meta-learning with multi-sensor spatial dependencies for cross-category small-sample fault diagnosis in ZDJ9-RTAs61
Toward a further understanding of planetary roller screw mechanism transmission accuracy: From component relocatable space to actual contact position to sliding-rolling kinematic characteristics61
A modeling method of wide random forest multi-output soft sensor with attention mechanism for quality prediction of complex industrial processes61
Integrating context awareness and knowledge graphs for enhanced knowledge recommendation in manufacturing process planning60
Investigation of loaded contact characteristics of planetary roller screw mechanism based on influence coefficient method and machine learning60
A connecting rod assembly deformation cognition method based on quality characteristics probability network60
Dual graph driven-consistent representation learning method for semi-supervised fault diagnosis of rotating machinery59
A LiDAR and reasoning-based artificial potential field for mobile robot navigation in unknown and dynamic environments59
MSAO: A multi-strategy boosted snow ablation optimizer for global optimization and real-world engineering applications58
Automated construction site layout design system for prefabricated buildings using transformer based conditional GAN58
DLR-YOLO: Dynamic low-rank training for a lightweight power tower object detection network in multi-scenario remote sensing images58
Simultaneous in-situ calibration for physical and virtual sensors towards digital twin-enabled building operations58
A multi-aircraft co-operative trajectory planning model under dynamic thunderstorm cells using decentralized deep reinforcement learning58
Digital twin of buildings and occupants for emergency evacuation: Framework, technologies, applications and trends58
Create or revise? A comparative study on CAD rework after team-based engineering design review in virtual reality and desktop interface57
Knowledge graph-driven decision support for manufacturing process: A graph neural network-based knowledge reasoning approach57
A bearing fault diagnosis method without fault data in new working condition combined dynamic model with deep learning57
A knowledge- and data-driven framework for deformation prediction and control of shield tunneling below existing tunnels57
Classification of architectural and MEP BIM objects for building performance evaluation57
Integrating geographic priors and automatic identification system data mining for maritime traffic pattern extraction in complex port waters57
Domain knowledge guided pseudo-label generation framework for semi-supervised domain generalization fault diagnosis57
Large language model assisted fine-grained knowledge graph construction for robotic fault diagnosis57
Prior-knowledge-guided mode filtering network for interpretable equipment intelligent diagnosis under varying speed conditions57
AskNatureNet: A divergent thinking tool based on bio-inspired design knowledge57
Active learning-based regional seismic risk assessment of high-speed railway bridges57
MKGM: Multimodal knowledge-guided joint recognition of bridge defect-structural information56
Feature knowledge distillation-based model lightweight for prohibited item detection in X-ray security inspection images56
Physics-informed CGAN and multi-scale attention CNN for pipeline leakage diagnosis under imbalanced data56
Energy management strategy for multisource power generation during hypersonic vehicle mode transition based on improved deep deterministic policy gradient56
HIM2A: Hierarchical interactive multi-modal entity alignment with semantic augmentation56
Research on Bio-inspired product design based on knowledge graph and semantic fusion diffusion model55
Automated disassembly-oriented knowledge graph construction for retired battery packs using a candidate entity-based relational triple joint extraction method55
Root cause analysis and prediction of quality issues in the complex aviation products assembly process using object oriented Bayesian networks55
A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples55
Design concept evaluation considering information reliability, uncertainty, and subjectivity: An integrated rough-Z-number-enhanced MCGDM methodology55
Disassembly sequence planning of equipment decommissioning for industry 5.0: Prospects and Retrospects55
How does contextual fidelity impact how we think, talk, and act in AI-assisted engineering design?54
A dual-condition diffusion-based microseismic signals denoiser for real-world engineering noise54
Depth-guided cross-modal fusion and diffusion-based enhancement for robust pavement defect segmentation54
Multi-task deep learning-based failure diagnosis for tubular joints: Automated identification and description generation54
Human risk recognition and prediction in manned submersible diving tasks driven by deep learning models54
Towards large language model for cognitive industrial mixed reality: A survey53
Design of data feature-driven 1D/2D convolutional neural networks classifier for recycling black plastic wastes through laser spectroscopy53
A user preference prediction model based on the chaos of cognitive system for product form53
MeshCL: Towards robust 3D mesh analysis via contrastive learning53
A data-driven approach to solving the container relocation problem with uncertainties53
Multi-objective optimization of tower crane layout planning in modular integrated construction: An interactive and interpretable platform53
Rearranged soft-introspective orthogonality regularized convolutional autoencoder for fault detection of multivariate processes52
The coordination of a dual-channel container transportation service chain with an option contract52
SLDAE: An interpretable stacked Denoising Auto-Encoders for fan fault diagnosis on steelmaking workshops52
A Novel Integrative Design Framework Combining 4D Sketching, Geometry Reconstruction, Micromechanics Material Modelling, and Structural Analysis52
BERT and Pareto dominance applied to biological strategy decision for bio-inspired design52
Improving efficiency in structural optimization using RBFNN and MMA-Adam hybrid method51
Multi-mission multi-UAVs smooth path planning utilizing a sub-optimal solutions based hybrid multi-objective differential evolutionary algorithm51
Multi-target prediction and dynamic interpretation method for displacement of arch dam with cracks based on A-DSRSN and SHAP51
Adaptive real-time similar repetitive manual procedure prediction and robotic procedure generation for human-robot collaboration51
Fault diagnosis of electromechanical systems under coupled fault characteristics based on digital twin-integrated multi-task graph neural network51
Adaptive feature consolidation residual network for exemplar-free continuous diagnosis of rotating machinery with fault-type increments51
Identifying critical nodes in Cyber–Physical Power Systems based on an Improved Mixed Degree Decomposition method51
A class-added rail transit infrastructure object detection method using UAV aerial imagery based on self-ensemble masks and frequency-spatial calibration51
Geometric spatial constraints network for slender and tiny surface defect detection50
CO2 impact on convolutional network model training for autonomous driving through behavioral cloning50
AI-enabled image calibration for noncontact structural condition assessment50
Collaborative contracting for Manufacturing-as-a-Service (MaaS) by information content measurement and decision tree learning49
Dynamic airport gate assignment with improved Shuffled Frog-Leaping Algorithm and triangle membership function49
Cognitive load assessment of active back-support exoskeletons in construction: A case study on construction framing49
Influential process nodes identification strategy for aircraft assembly system based on complex network and improved PageRank49
Beyond the images: Comprehensible unsafe behaviour recognition boosted by joint inference graph with multi-hop reasoning49
REACT: Runtime-Enabled active collision-avoidance technique for autonomous driving49
Blockchain-enabled cyber-physical system for construction site management: A pilot implementation49
Identifying uncertainty states during wayfinding in indoor environments: An EEG classification study49
Toward artificially intelligent cloud-based building information modelling for collaborative multidisciplinary design49
Geometric entropy: A novel nonlinear measure for bearing fault diagnosis49
Towards dual-perspective alignment: A novel hierarchical selective adversarial network for transfer fault diagnosis49
Online machine learning for precise geological condition detection with measure-while-drilling data49
Optimal Sensor Placement for heat transfer digital twin with Denoising Autoencoder and discrete optimization49
A separate modeling approach to noisy displacement prediction of concrete dams via improved deep learning with frequency division48
A multi-objective optimal collaborative gas flow regulation method for non-stationary ventilation network based on improved NSGA-Ⅲ algorithm48
An interpretable neural network-based to dynamic parameter identification for collaborative robots48
Knowledge augmented generalizer specializer: A framework for early stage design exploration48
A review of digital twin capabilities, technologies, and applications based on the maturity model48
An improved extreme learning machine with self-recurrent hidden layer47
Multi-band spectral-temporal deep learning network for structural dynamic data forecasting aided by signal decomposition and bandpass filtering47
CPIR: Multimodal Industrial Anomaly Detection via Latent Bridged Cross-modal Prediction and Intra-modal Reconstruction47
A novel physics-informed neural network for modeling electromagnetism of a permanent magnet synchronous motor47
Multi-depot electric vehicle routing problem with drones considering time-dependent traffic47
RTFnet: A multi-modal physiological data fusion approach for fatigue detection in remote tower controllers47
Capturing mental models: An analysis of designers actions, ideas, and intentions47
A multi-fidelity surrogate model based on design variable correlations47
Critical challenges and advances in vibration signal processing for non-stationary condition monitoring47
Enhancing vehicle ride comfort through deep reinforcement learning with expert-guided soft-hard constraints and system characteristic considerations47
Empowering LLMs by hybrid retrieval-augmented generation for domain-centric Q&A in smart manufacturing47
Extended attention signal transformer with adaptive class imbalance loss for Long-tailed intelligent fault diagnosis of rotating machinery47
Text2shape: Intelligent computational design of car outer contour shapes based on improved conditional Wasserstein generative adversarial network47
Enhancing quality prediction with probabilistic information in multimode industrial process: A mode-aware multitask learning network47
Ensemble learning of multi-kernel Kriging surrogate models using regional discrepancy and space-filling criteria-based hybrid sampling method46
An empirical study on enhancing wafer quality: Integrating big data and AI in virtual metrology for thin-film processing46
Time-frequency supervised contrastive learning via pseudo-labeling: An unsupervised domain adaptation network for rolling bearing fault diagnosis under time-varying speeds46
Editorial Board46
Diagnosis for transformer winding fault via deep fusion of 2-D images of FRA and SwinLCGnet framework46
A product design method for form and color matching based on aesthetic theory46
Deep learning modeling method of three-dimensional geological body based on effective identification of underground stratum profile image46
An iterative reference mapping approach for BIM IFCXML classified content compression46
Mitigating class imbalance in deep learning-based multi-class structural damage recognition using an informatics-oriented data augmentation framework45
Object-based terminal positioning solution within task-boosted global constraint for improving mobile robotic stacking accuracy45
VR rehabilitation system evaluator: A fNIRS-based and LLM-enabled evaluation paradigm for Mild Cognitive Impairment45
Knowledge graph modeling for data asset pricing45
Deep learning-enabled turbulence model optimization of solid motor45
Learning constrained static equilibrium for thrust network inverse form-finding via physics-informed geometric deep learning on CW complexes45
Learning multimodal adaptive relation graph and action boost memory for visual navigation45
A two-stage learning-based approach incorporating sustainable port multi-resource scheduling and real-time disruption response under mixed loading mode45
A visual identification method with position recovering and contour comparison for highly similar non-planar aviation angle pieces45
Thermal image-based hand gesture recognition for worker-robot collaboration in the construction industry: A feasible study45
A safety risk formation model for intelligent human–machine interaction based on computational neuroscience45
Smoothed dynamic scheduling of aircraft engines with off-site warehouse45
Quality improvement method for high-end equipment’s functional requirements based on user stories45
FF-BERT: A BERT-based ensemble for automated classification of web-based text on flash flood events44
Incorporating machine learning in shot peening and laser peening: A review and beyond44
Fractional-order derivative polynomial grey particle filtering for milling tool remaining useful life prediction44
Patch-fusion: An advanced deep learning method for seismic response prediction of structural engineering44
Physics-guided Mamba-KAN Hybrid Network (PM-KMNet): Robust prognostics for ship propulsion systems under distribution shifts44
Multi-scale Graph Convolutional Network for understanding human action in videos44
Automatic recognition of machining and inspection features based on similarity computation integrated with knowledge graph44
Agile solution search strategy for solving multi-conflicts in product development44
A semantic segmentation-based collision recognition method for motorcycle slalom through poles in Motorcycle Driving License Test43
Spatiotemporal kernel density clustering for wide area near Real-Time pothole detection43
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