Advanced Engineering Informatics

Papers
(The TQCC of Advanced Engineering Informatics is 14. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model358
Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework169
Exact and metaheuristic algorithms for the vehicle routing problem with a factory-in-a-box in multi-objective settings154
A review of digital twin in product design and development148
Two hybrid meta-heuristic algorithms for a dual-channel closed-loop supply chain network design problem in the tire industry under uncertainty139
Automatic defect detection of metro tunnel surfaces using a vision-based inspection system131
DETDO: An adaptive hybrid dandelion optimizer for engineering optimization120
An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump116
A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives110
An integrated optimization method for tactical-level planning in liner shipping with heterogeneous ship fleet and environmental considerations107
A systematic review of digital twin about physical entities, virtual models, twin data, and applications104
DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism99
CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis97
A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images94
Effectiveness of VR-based training on improving construction workers’ knowledge, skills, and safety behavior in robotic teleoperation91
Genghis Khan shark optimizer: A novel nature-inspired algorithm for engineering optimization89
Digital Twins for the built environment: learning from conceptual and process models in manufacturing89
3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review88
Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm87
A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings85
From simple digital twin to complex digital twin Part I: A novel modeling method for multi-scale and multi-scenario digital twin85
Highly accurate energy consumption forecasting model based on parallel LSTM neural networks84
A novel deep learning prediction model for concrete dam displacements using interpretable mixed attention mechanism77
Combining empirical mode decomposition and deep recurrent neural networks for predictive maintenance of lithium-ion battery76
A real-time vehicle detection and a novel vehicle tracking systems for estimating and monitoring traffic flow on highways76
A reinforcement ensemble deep transfer learning network for rolling bearing fault diagnosis with Multi-source domains75
Multi-class fuzzy support matrix machine for classification in roller bearing fault diagnosis75
Mass Personalisation as a Service in Industry 4.0: A Resilient Response Case Study74
Understanding digital transformation in advanced manufacturing and engineering: A bibliometric analysis, topic modeling and research trend discovery73
SMD LED chips defect detection using a YOLOv3-dense model70
Autoencoder-based anomaly detection for surface defect inspection65
Deep reinforcement learning-based safe interaction for industrial human-robot collaboration using intrinsic reward function65
Solving the vehicle routing problem with drone for delivery services using an ant colony optimization algorithm64
Vibration signal-based early fault prognosis: Status quo and applications62
Review on automated condition assessment of pipelines with machine learning61
Remaining useful life prediction of bearings by a new reinforced memory GRU network61
A deep feature enhanced reinforcement learning method for rolling bearing fault diagnosis61
A small samples training framework for deep Learning-based automatic information extraction: Case study of construction accident news reports analysis60
Investigating hazard recognition in augmented virtuality for personalized feedback in construction safety education and training58
Semantic enrichment of building and city information models: A ten-year review57
Digital twins-based flexible operating of open architecture production line for individualized manufacturing57
Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks57
Applications of machine learning to BIM: A systematic literature review56
Digital twin-driven surface roughness prediction and process parameter adaptive optimization56
Dynamic ensemble wind speed prediction model based on hybrid deep reinforcement learning54
Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review54
A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing52
A fuzzy rough number extended AHP and VIKOR for failure mode and effects analysis under uncertainty52
A bearing fault diagnosis method without fault data in new working condition combined dynamic model with deep learning50
On-site text classification and knowledge mining for large-scale projects construction by integrated intelligent approach50
Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis49
Fault transfer diagnosis of rolling bearings across multiple working conditions via subdomain adaptation and improved vision transformer network49
Defect-aware transformer network for intelligent visual surface defect detection48
A novel RSG-based intelligent bearing fault diagnosis method for motors in high-noise industrial environment47
A framework of pavement management system based on IoT and big data47
AFCM-LSMA: New intelligent model based on Lévy slime mould algorithm and adaptive fuzzy C-means for identification of COVID-19 infection from chest X-ray images47
Efficient surface defect detection using self-supervised learning strategy and segmentation network47
Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network47
A newly-designed fault diagnostic method for transformers via improved empirical wavelet transform and kernel extreme learning machine46
Deep branch attention network and extreme multi-scale entropy based single vibration signal-driven variable speed fault diagnosis scheme for rolling bearing46
A digital twin in transportation: Real-time synergy of traffic data streams and simulation for virtualizing motorway dynamics45
Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities45
A survey of modeling for prognosis and health management of industrial equipment45
A digital twin-driven approach towards traceability and dynamic control for processing quality45
Computer vision and long short-term memory: Learning to predict unsafe behaviour in construction45
Integrating and navigating engineering design decision-related knowledge using decision knowledge graph44
Multi-ontology fusion and rule development to facilitate automated code compliance checking using BIM and rule-based reasoning44
Predicting workers’ inattentiveness to struck-by hazards by monitoring biosignals during a construction task: A virtual reality experiment44
Modeling berth allocation and quay crane assignment considering QC driver cost and operating efficiency44
Digital twin-driven deep reinforcement learning for adaptive task allocation in robotic construction44
Dynamic parameter inverse analysis of concrete dams based on Jaya algorithm with Gaussian processes surrogate model42
Design of digital twin applications in automated storage yard scheduling42
Supporting resilient conceptual design using functional decomposition and conflict resolution41
Automatic representation and detection of fault bearings in in-wheel motors under variable load conditions41
Investigating the influence of route turning angle on compliance behaviors and evacuation performance in a virtual-reality-based experiment40
Industrial internet of things-driven storage location assignment and order picking in a resource synchronization and sharing-based robotic mobile fulfillment system40
Digital twin-enabled machining process modeling40
Intelligent fault recognition framework by using deep reinforcement learning with one dimension convolution and improved actor-critic algorithm39
Bottom-up image detection of water channel slope damages based on superpixel segmentation and support vector machine39
Unraveling the capabilities that enable digital transformation: A data-driven methodology and the case of artificial intelligence39
A context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration39
Integrated scheduling and flexible maintenance in deteriorating multi-state single machine system using a reinforcement learning approach39
An integrated framework for blockchain-enabled supply chain trust management towards smart manufacturing39
Intelligent decision-making model in preventive maintenance of asphalt pavement based on PSO-GRU neural network39
You can get smaller: A lightweight self-activation convolution unit modified by transformer for fault diagnosis38
DRLSTM: A dual-stage deep learning approach driven by raw monitoring data for dam displacement prediction38
An end-to-end tabular information-oriented causality event evolutionary knowledge graph for manufacturing documents37
Exploring augmented reality for worker assistance versus training36
Machine fault diagnosis with small sample based on variational information constrained generative adversarial network36
Transformer-based hierarchical latent space VAE for interpretable remaining useful life prediction36
A predictive maintenance system for multi-granularity faults based on AdaBelief-BP neural network and fuzzy decision making36
Ontology and rule-based natural language processing approach for interpreting textual regulations on underground utility infrastructure36
Lifting path planning of mobile cranes based on an improved RRT algorithm36
A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic35
Evolutionary digital twin: A new approach for intelligent industrial product development35
The optimization of warehouse location and resources distribution for emergency rescue under uncertainty35
Human-object integrated assembly intention recognition for context-aware human-robot collaborative assembly35
Automatic classification of wall and door BIM element subtypes using 3D geometric deep neural networks35
Quay crane scheduling in automated container terminal for the trade-off between operation efficiency and energy consumption35
An IIoT-driven and AI-enabled framework for smart manufacturing system based on three-terminal collaborative platform35
Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling35
A digital twin-based multidisciplinary collaborative design approach for complex engineering product development34
Slot co-chartering and capacity deployment optimization of liner alliances in containerized maritime logistics industry34
Measuring the impact of blockchain and smart contracts on construction supply chain visibility34
Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates34
A Generative adversarial learning strategy for enhanced lightweight crack delineation networks34
Enhanced customer requirement classification for product design using big data and improved Kano model34
Pavement crack detection using hessian structure propagation34
Product redesign using functional backtrack with digital twin34
A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction33
Explainable artificial intelligence (XAI): Precepts, models, and opportunities for research in construction33
Data-driven cleaner production strategy for energy-intensive manufacturing industries: Case studies from Southern and Northern China33
Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence33
Achieving Knowledge-as-a-Service in IIoT-driven smart manufacturing: A crowdsourcing-based continuous enrichment method for Industrial Knowledge Graph33
Toward AI-enabled augmented reality to enhance the safety of highway work zones: Feasibility, requirements, and challenges33
A human-centred approach based on functional near-infrared spectroscopy for adaptive decision-making in the air traffic control environment: A case study33
A new convolutional dual-channel Transformer network with time window concatenation for remaining useful life prediction of rolling bearings33
Scheduling of collaborative operations of yard cranes and yard trucks for export containers using hybrid approaches33
Optimization of constraint engineering problems using robust universal learning chimp optimization32
An enhanced artificial hummingbird algorithm and its application in truss topology engineering optimization32
An AI-based open recommender system for personalized labor market driven education32
Intelligent fault diagnosis for rolling bearings based on graph shift regularization with directed graphs32
Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network32
Applying incremental Deep Neural Networks-based posture recognition model for ergonomics risk assessment in construction32
Digital twin modeling for loaded contact pattern-based grinding of spiral bevel gears32
A surrogate-assisted stochastic optimization inversion algorithm: Parameter identification of dams32
Data-driven order correlation pattern and storage location assignment in robotic mobile fulfillment and process automation system32
Driver behavior detection via adaptive spatial attention mechanism32
Bridge inspection named entity recognition via BERT and lexicon augmented machine reading comprehension neural model32
A deep feature alignment adaptation network for rolling bearing intelligent fault diagnosis32
Assessing future landscapes using enhanced mixed reality with semantic segmentation by deep learning31
From simple digital twin to complex digital twin part II: Multi-scenario applications of digital twin shop floor31
A multi-head neural network with unsymmetrical constraints for remaining useful life prediction31
Knowledge graph construction for product designs from large CAD model repositories31
Genetic algorithm-assisted an improved AdaBoost double-layer for oil temperature prediction of TBM31
Assessment and prioritization method of key engineering characteristics for complex products based on cloud rough numbers30
A rough set-based interval-valued intuitionistic fuzzy conceptual design decision approach with considering diverse customer preference distribution30
Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions30
Vision-based method for semantic information extraction in construction by integrating deep learning object detection and image captioning30
Underwater inspection of bridge substructures using sonar and deep convolutional network30
A supervised approach for automated surface defect detection in ceramic tile quality control30
Immersive technology-driven investigations on influence factors of cognitive load incurred in construction site hazard recognition, analysis and decision making30
Knowledge-based integrated product design framework towards sustainable low-carbon manufacturing30
Wayfinding behaviour in a multi-level building: A comparative study of HMD VR and Desktop VR30
Real-time scheduling for distributed permutation flowshops with dynamic job arrivals using deep reinforcement learning29
Integrating crowd-/service-sourcing into digital twin for advanced manufacturing service innovation29
Multi-objective optimization of shield construction parameters based on random forests and NSGA-II29
Promoting employee health in smart office: A survey29
A Gaussian-guided adversarial adaptation transfer network for rolling bearing fault diagnosis29
Bo-LSTM based cross-sectional profile sequence progressive prediction method for metal tube rotate draw bending29
Process and Outcome-based Evaluation between Virtual Reality-driven and Traditional Construction Safety Training28
An integrated framework of user experience-oriented smart service requirement analysis for smart product service system development28
The use of decision tree based predictive models for improving the culvert inspection process28
Integrated modeling for retired mechanical product genes in remanufacturing: A knowledge graph-based approach28
A novel function-structure concept network construction and analysis method for a smart product design system28
High-speed train fault detection with unsupervised causality-based feature extraction methods28
Performance Evaluation Indicator (PEI): A new paradigm to evaluate the competence of machine learning classifiers in predicting rockmass conditions28
A process knowledge representation approach for decision support in design of complex engineered systems28
Digital twin and its potential applications in construction industry: State-of-art review and a conceptual framework28
UAV imagery based potential safety hazard evaluation for high-speed railroad using Real-time instance segmentation28
Deep-learning-based anomaly detection for lace defect inspection employing videos in production line27
Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix27
A framework and method for Human-Robot cooperative safe control based on digital twin27
A function-oriented biologically analogical approach for constructing the design concept of smart product in Industry 4.027
The role of user-centered AR instruction in improving novice spatial cognition in a high-precision procedural task27
Intelligent fault diagnosis of turbine blade cracks via multiscale sparse filtering and multi-kernel support vector machine for information fusion27
An integrated emotional and physiological assessment for VR-based active shooter incident experiments27
Machine learning algorithm selection for windage alteration fault diagnosis of mine ventilation system27
Human–robot collaborative partial destruction disassembly sequence planning method for end-of-life product driven by multi-failures27
Enhancing human indoor cognitive map development and wayfinding performance with immersive augmented reality-based navigation systems27
An ontology-based methodology to establish city information model of digital twin city by merging BIM, GIS and IoT27
A new approach for product evaluation based on integration of EEG and eye-tracking26
Reinforcement Learning for Engineering Design Automation26
Research on visual representation of icon colour in eye-controlled systems26
Intelligent design of shear wall layout based on graph neural networks26
Identification of accident-injury type and bodypart factors from construction accident reports: A graph-based deep learning framework26
Implications of data-driven product design: From information age towards intelligence age26
An approach to capturing and reusing tacit design knowledge using relational learning for knowledge graphs26
Deep learning-based construction equipment operators’ mental fatigue classification using wearable EEG sensor data26
Machine learning method for CPTu based 3D stratification of New Zealand geotechnical database sites26
Multi-domain ubiquitous digital twin model for information management of complex infrastructure systems26
A hybrid formation path planning based on A* and multi-target improved artificial potential field algorithm in the 2D random environments26
A heuristic optimization approach for multi-vehicle and one-cargo green transportation scheduling in shipbuilding26
Recognition of pedestrian trajectories and attributes with computer vision and deep learning techniques25
A semi-supervised learning detection method for vision-based monitoring of construction sites by integrating teacher-student networks and data augmentation25
Simulation and optimization of automated masonry construction using cable robots25
Logistics service provider selection decision making for healthcare industry based on a novel weighted density-based hierarchical clustering25
Customer complaints monitoring with customer review data analytics: An integrated method of sentiment and statistical process control analyses25
Optimizing parcel sorting process of vertical sorting system in e-commerce warehouse25
Evaluating the attitudes of different trainee groups towards eye tracking enhanced safety training methods25
Multi-class classification of construction hazards via cognitive states assessment using wearable EEG25
Deep learning driven real time topology optimisation based on initial stress learning25
A LightGBM-based strategy to predict tunnel rockmass class from TBM construction data for building control25
Digital twin-driven clamping force control for thin-walled parts24
Modeling dynamic construction work template from existing scheduling records via sequential machine learning24
Part-of-speech tagging of building codes empowered by deep learning and transformational rules24
Artificial intelligence-enabled digital transformation in elderly healthcare field: Scoping review24
Investment estimation of prefabricated concrete buildings based on XGBoost machine learning algorithm24
Edge intelligence and agnostic robotic paradigm in resource synchronisation and sharing in flexible robotic and facility control system24
Automated system for construction specification review using natural language processing24
Improving traffic prediction using congestion propagation patterns in smart cities24
A smart conflict resolution model using multi-layer knowledge graph for conceptual design24
A quantitative aesthetic measurement method for product appearance design23
Upper-body haptic system for snake robot teleoperation in pipelines23
Towards safe and collaborative aerodrome operations: Assessing shared situational awareness for adverse weather detection with EEG-enabled Bayesian neural networks23
Time-frequency supervised contrastive learning via pseudo-labeling: An unsupervised domain adaptation network for rolling bearing fault diagnosis under time-varying speeds23
Optimal PID control for hovering stabilization of quadcopter using long short term memory23
3D CAD model retrieval based on sketch and unsupervised variational autoencoder23
Uncertainty-aware soft sensor using Bayesian recurrent neural networks23
Knowledge management of product design: A requirements-oriented knowledge management framework based on Kansei engineering and knowledge map23
BTAD: A binary transformer deep neural network model for anomaly detection in multivariate time series data23
Dynamic knowledge modeling and fusion method for custom apparel production process based on knowledge graph23
A Quantum-inspired Ant Colony Optimization for solving a sustainable four-dimensional traveling salesman problem under type-2 fuzzy variable23
Artificial intelligence-enhanced seismic response prediction of reinforced concrete frames23
Risk of fire emergency evacuation in complex construction sites: Integration of 4D-BIM, social force modeling, and fire quantitative risk assessment23
System construction for comprehensive industrial ecosystem oriented networked collaborative manufacturing platform (NCMP) based on three chains23
Physics-based machine learning method and the application to energy consumption prediction in tunneling construction23
Research on fault diagnosis method of MS-CNN rolling bearing based on local central moment discrepancy22
Surface defect detection and classification of steel using an efficient Swin Transformer22
Stacking Deep learning and Machine learning models for short-term energy consumption forecasting22
Adaptive thresholding and coordinate attention-based tree-inspired network for aero-engine bearing health monitoring under strong noise22
CrackEmbed: Point feature embedding for crack segmentation from disaster site point clouds with anomaly detection22
Semantic information alignment of BIMs to computer-interpretable regulations using ontologies and deep learning22
Data-driven multi-step robust prediction of TBM attitude using a hybrid deep learning approach22
On-line transfer learning for multi-fidelity data fusion with ensemble of deep neural networks22
Sim-YOLOv5s: A method for detecting defects on the end face of lithium battery steel shells22
Reinforcement learning-based distant supervision relation extraction for fault diagnosis knowledge graph construction under industry 4.022
Drone mapping of damage information in GPS-Denied disaster sites22
A cooperative game theory based user-centered medical device design decision approach under uncertainty22
Methods for the Automated Assignment and Comparison of Building Damage Geometries22
Extracting structural components of concrete buildings from laser scanning point clouds from construction sites22
Automatic modeling and fault diagnosis of car production lines based on first-principle qualitative mechanics and semantic web technology21
Leveraging on causal knowledge for enhancing the root cause analysis of equipment spot inspection failures21
A design method for an intelligent manufacturing and service system for rehabilitation assistive devices and special groups21
Graph-based reinforcement learning for discrete cross-section optimization of planar steel frames21
Computer vision-based approach for smart traffic condition assessment at the railroad grade crossing21
Automated facility inspection using robotics and BIM: A knowledge-driven approach21
The impact of CCT on driving safety in the normal and accident situation: A VR-based experimental study21
Inventory model involving reworking of faulty products with three carbon policies under neutrosophic environment21
A multi-fidelity surrogate modeling approach for incorporating multiple non-hierarchical low-fidelity data21
A synthetical development approach for rehabilitation assistive smart product–service systems: A case study21
Automation and optimization in crane lift planning: A critical review21
A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision21
A systematic data-mining-based methodology for product family design and product configuration21
Cooperative surveillance systems and digital-technology enabler for a real-time standard terminal arrival schedule displacement21
Multi-modal transportation planning for multi-commodity rebalancing under uncertainty in humanitarian logistics21
Discrete multi-objective artificial bee colony algorithm for green co-scheduling problem of ship lift and ship lock20
A novel Brownian correlation metric prototypical network for rotating machinery fault diagnosis with few and zero shot learners20
Mixed reality environment for learning sensing technology applications in Construction: A usability study20
Excavator 3D pose estimation using deep learning and hybrid datasets20
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