Advanced Engineering Informatics

Papers
(The TQCC of Advanced Engineering Informatics is 18. 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 2020-07-01 to 2024-07-01.)
ArticleCitations
Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model317
A research agenda for augmented and virtual reality in architecture, engineering and construction203
Anomaly detection of defects on concrete structures with the convolutional autoencoder181
Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework153
Exact and metaheuristic algorithms for the vehicle routing problem with a factory-in-a-box in multi-objective settings148
Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm146
A review of digital twin in product design and development136
Do you need a blockchain in construction? Use case categories and decision framework for DLT design options132
Two hybrid meta-heuristic algorithms for a dual-channel closed-loop supply chain network design problem in the tire industry under uncertainty125
Automatic defect detection of metro tunnel surfaces using a vision-based inspection system115
DETDO: An adaptive hybrid dandelion optimizer for engineering optimization108
Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing107
An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump104
An integrated optimization method for tactical-level planning in liner shipping with heterogeneous ship fleet and environmental considerations102
A novel construction cost prediction model using hybrid natural and light gradient boosting96
A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives94
Intuitive robot teleoperation for civil engineering operations with virtual reality and deep learning scene reconstruction88
Hazard analysis: A deep learning and text mining framework for accident prevention87
A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images84
Digital Twins for the built environment: learning from conceptual and process models in manufacturing83
Effectiveness of VR-based training on improving construction workers’ knowledge, skills, and safety behavior in robotic teleoperation83
A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings80
A systematic review of digital twin about physical entities, virtual models, twin data, and applications78
3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review78
Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm77
Highly accurate energy consumption forecasting model based on parallel LSTM neural networks76
An immersive virtual reality serious game to enhance earthquake behavioral responses and post-earthquake evacuation preparedness in buildings74
CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis74
DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism73
A global supply chain risk management framework: An application of text-mining to identify region-specific supply chain risks73
Combining empirical mode decomposition and deep recurrent neural networks for predictive maintenance of lithium-ion battery72
From simple digital twin to complex digital twin Part I: A novel modeling method for multi-scale and multi-scenario digital twin72
Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources71
Genghis Khan shark optimizer: A novel nature-inspired algorithm for engineering optimization71
Multi-class fuzzy support matrix machine for classification in roller bearing fault diagnosis70
A novel deep learning prediction model for concrete dam displacements using interpretable mixed attention mechanism70
Mass Personalisation as a Service in Industry 4.0: A Resilient Response Case Study69
A real-time vehicle detection and a novel vehicle tracking systems for estimating and monitoring traffic flow on highways68
Understanding digital transformation in advanced manufacturing and engineering: A bibliometric analysis, topic modeling and research trend discovery67
A reinforcement ensemble deep transfer learning network for rolling bearing fault diagnosis with Multi-source domains66
An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE65
SMD LED chips defect detection using a YOLOv3-dense model64
Deep reinforcement learning-based safe interaction for industrial human-robot collaboration using intrinsic reward function59
An optimized combination prediction model for concrete dam deformation considering quantitative evaluation and hysteresis correction59
Convolutional long short-term memory model for recognizing construction workers’ postures from wearable inertial measurement units58
Autoencoder-based anomaly detection for surface defect inspection58
A rule-based method for automated surrogate model selection57
A new ensemble deep learning approach for exchange rates forecasting and trading55
Inter-subject transfer learning for EEG-based mental fatigue recognition55
Solving the vehicle routing problem with drone for delivery services using an ant colony optimization algorithm54
A deep feature enhanced reinforcement learning method for rolling bearing fault diagnosis54
Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks54
A neurophysiological approach to assess training outcome under stress: A virtual reality experiment of industrial shutdown maintenance using Functional Near-Infrared Spectroscopy (fNIRS)53
A small samples training framework for deep Learning-based automatic information extraction: Case study of construction accident news reports analysis53
Investigating hazard recognition in augmented virtuality for personalized feedback in construction safety education and training52
Vibration signal-based early fault prognosis: Status quo and applications52
Remaining useful life prediction of bearings by a new reinforced memory GRU network52
Semantic enrichment of building and city information models: A ten-year review52
Dynamic ensemble wind speed prediction model based on hybrid deep reinforcement learning51
Real-time smart video surveillance to manage safety: A case study of a transport mega-project51
Review on automated condition assessment of pipelines with machine learning51
Towards a customizable immersive virtual reality serious game for earthquake emergency training50
Reinforcement learning based optimizer for improvement of predicting tunneling-induced ground responses50
Enriching standards-based digital thread by fusing as-designed and as-inspected data using knowledge graphs49
Dynamical mining of ever-changing user requirements: A product design and improvement perspective49
Digital twin-driven surface roughness prediction and process parameter adaptive optimization49
Digital twins-based flexible operating of open architecture production line for individualized manufacturing49
A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing48
Applications of machine learning to BIM: A systematic literature review47
A fuzzy rough number extended AHP and VIKOR for failure mode and effects analysis under uncertainty47
New hybrid data mining model for credit scoring based on feature selection algorithm and ensemble classifiers45
A new integrated approach for engineering characteristic prioritization in quality function deployment44
A building regulation question answering system: A deep learning methodology44
On-site text classification and knowledge mining for large-scale projects construction by integrated intelligent approach44
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 images44
Deep learning-based classification of work-related physical load levels in construction43
Customer requirement-driven design method and computer-aided design system for supporting service innovation conceptualization handling43
Modeling berth allocation and quay crane assignment considering QC driver cost and operating efficiency43
Computer vision and long short-term memory: Learning to predict unsafe behaviour in construction43
Automated segmentation of RGB-D images into a comprehensive set of building components using deep learning42
A newly-designed fault diagnostic method for transformers via improved empirical wavelet transform and kernel extreme learning machine42
Predicting workers’ inattentiveness to struck-by hazards by monitoring biosignals during a construction task: A virtual reality experiment42
A novel RSG-based intelligent bearing fault diagnosis method for motors in high-noise industrial environment41
Dynamic parameter inverse analysis of concrete dams based on Jaya algorithm with Gaussian processes surrogate model41
Integrating and navigating engineering design decision-related knowledge using decision knowledge graph41
Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network41
Supporting resilient conceptual design using functional decomposition and conflict resolution41
A framework of pavement management system based on IoT and big data41
Fault transfer diagnosis of rolling bearings across multiple working conditions via subdomain adaptation and improved vision transformer network41
Deep branch attention network and extreme multi-scale entropy based single vibration signal-driven variable speed fault diagnosis scheme for rolling bearing41
Ensemble deep learning based semi-supervised soft sensor modeling method and its application on quality prediction for coal preparation process41
A digital twin-driven approach towards traceability and dynamic control for processing quality40
Multi-ontology fusion and rule development to facilitate automated code compliance checking using BIM and rule-based reasoning39
Efficient surface defect detection using self-supervised learning strategy and segmentation network38
Defective wafer detection using a denoising autoencoder for semiconductor manufacturing processes38
Automatic representation and detection of fault bearings in in-wheel motors under variable load conditions38
Defect-aware transformer network for intelligent visual surface defect detection37
Prediction of product design decision Making: An investigation of eye movements and EEG features37
Digital twin-enabled machining process modeling37
Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review37
Unraveling the capabilities that enable digital transformation: A data-driven methodology and the case of artificial intelligence37
A bearing fault diagnosis method without fault data in new working condition combined dynamic model with deep learning37
Evolutionary design framework for Smart PSS: Service engineering approach37
Intelligent fault recognition framework by using deep reinforcement learning with one dimension convolution and improved actor-critic algorithm37
Bottom-up image detection of water channel slope damages based on superpixel segmentation and support vector machine37
Digital twin-driven deep reinforcement learning for adaptive task allocation in robotic construction37
Design of digital twin applications in automated storage yard scheduling36
An integrated framework for blockchain-enabled supply chain trust management towards smart manufacturing36
Investigating the influence of route turning angle on compliance behaviors and evacuation performance in a virtual-reality-based experiment36
A context-augmented deep learning approach for worker trajectory prediction on unstructured and dynamic construction sites36
A context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration36
Ontology and rule-based natural language processing approach for interpreting textual regulations on underground utility infrastructure36
CLOI-NET: Class segmentation of industrial facilities’ point cloud datasets36
Design entropy theory: A new design methodology for smart PSS development35
Lifting path planning of mobile cranes based on an improved RRT algorithm35
A survey of modeling for prognosis and health management of industrial equipment35
Industrial internet of things-driven storage location assignment and order picking in a resource synchronization and sharing-based robotic mobile fulfillment system35
An end-to-end tabular information-oriented causality event evolutionary knowledge graph for manufacturing documents34
Enhanced customer requirement classification for product design using big data and improved Kano model34
DRLSTM: A dual-stage deep learning approach driven by raw monitoring data for dam displacement prediction34
The optimization of warehouse location and resources distribution for emergency rescue under uncertainty34
A hybrid intelligence approach for sustainable service innovation of smart and connected product: A case study34
An IIoT-driven and AI-enabled framework for smart manufacturing system based on three-terminal collaborative platform34
Integrated rough VIKOR for customer-involved design concept evaluation combining with customers’ preferences and designers’ perceptions34
A statistically based fault detection and diagnosis approach for non-residential building water distribution systems33
A predictive maintenance system for multi-granularity faults based on AdaBelief-BP neural network and fuzzy decision making33
Ontology-based knowledge representation for industrial megaprojects analytics using linked data and the semantic web33
You can get smaller: A lightweight self-activation convolution unit modified by transformer for fault diagnosis33
Evolutionary digital twin: A new approach for intelligent industrial product development33
Automatic classification of wall and door BIM element subtypes using 3D geometric deep neural networks33
Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities33
Product redesign using functional backtrack with digital twin33
Machine fault diagnosis with small sample based on variational information constrained generative adversarial network33
Integrated scheduling and flexible maintenance in deteriorating multi-state single machine system using a reinforcement learning approach32
Intelligent decision-making model in preventive maintenance of asphalt pavement based on PSO-GRU neural network32
Data-driven order correlation pattern and storage location assignment in robotic mobile fulfillment and process automation system32
Digital twin modeling for loaded contact pattern-based grinding of spiral bevel gears32
Pavement crack detection using hessian structure propagation31
Intelligent fault diagnosis for rolling bearings based on graph shift regularization with directed graphs31
Transformer-based hierarchical latent space VAE for interpretable remaining useful life prediction31
A human-centred approach based on functional near-infrared spectroscopy for adaptive decision-making in the air traffic control environment: A case study31
A digital twin-based multidisciplinary collaborative design approach for complex engineering product development31
Measuring the impact of blockchain and smart contracts on construction supply chain visibility31
Achieving Knowledge-as-a-Service in IIoT-driven smart manufacturing: A crowdsourcing-based continuous enrichment method for Industrial Knowledge Graph31
Quay crane scheduling in automated container terminal for the trade-off between operation efficiency and energy consumption30
Exploring augmented reality for worker assistance versus training30
A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic30
Driver behavior detection via adaptive spatial attention mechanism29
A Generative adversarial learning strategy for enhanced lightweight crack delineation networks29
Wayfinding behaviour in a multi-level building: A comparative study of HMD VR and Desktop VR29
Scheduling of collaborative operations of yard cranes and yard trucks for export containers using hybrid approaches29
Promoting employee health in smart office: A survey29
Anomaly detection and critical attributes identification for products with multiple operating conditions based on isolation forest29
An enhanced artificial hummingbird algorithm and its application in truss topology engineering optimization29
Bridge inspection named entity recognition via BERT and lexicon augmented machine reading comprehension neural model29
A surrogate-assisted stochastic optimization inversion algorithm: Parameter identification of dams29
Assessing future landscapes using enhanced mixed reality with semantic segmentation by deep learning29
Immersive technology-driven investigations on influence factors of cognitive load incurred in construction site hazard recognition, analysis and decision making29
A rough set-based interval-valued intuitionistic fuzzy conceptual design decision approach with considering diverse customer preference distribution29
Applying incremental Deep Neural Networks-based posture recognition model for ergonomics risk assessment in construction29
Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence29
A digital twin in transportation: Real-time synergy of traffic data streams and simulation for virtualizing motorway dynamics29
Genetic algorithm-assisted an improved AdaBoost double-layer for oil temperature prediction of TBM29
A multi-head neural network with unsymmetrical constraints for remaining useful life prediction28
A deep feature alignment adaptation network for rolling bearing intelligent fault diagnosis28
Assessment and prioritization method of key engineering characteristics for complex products based on cloud rough numbers28
Knowledge-based integrated product design framework towards sustainable low-carbon manufacturing28
A Gaussian-guided adversarial adaptation transfer network for rolling bearing fault diagnosis28
Semi-supervised fault diagnosis of machinery using LPS-DGAT under speed fluctuation and extremely low labeled rates28
Quick energy prediction and comparison of options at the early design stage28
Multi-objective optimization of shield construction parameters based on random forests and NSGA-II28
Data-driven cleaner production strategy for energy-intensive manufacturing industries: Case studies from Southern and Northern China27
The use of decision tree based predictive models for improving the culvert inspection process27
CRAFT: Comprehensive Resilience Assessment Framework for Transportation Systems in Urban Areas27
Integrating crowd-/service-sourcing into digital twin for advanced manufacturing service innovation27
Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling27
Toward AI-enabled augmented reality to enhance the safety of highway work zones: Feasibility, requirements, and challenges27
Augmenting a deep-learning algorithm with canal inspection knowledge for reliable water leak detection from multispectral satellite images27
A new convolutional dual-channel Transformer network with time window concatenation for remaining useful life prediction of rolling bearings27
A novel function-structure concept network construction and analysis method for a smart product design system26
From simple digital twin to complex digital twin part II: Multi-scenario applications of digital twin shop floor26
A neuro-wavelet based approach for diagnosing bearing defects26
Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis26
A process knowledge representation approach for decision support in design of complex engineered systems26
Human-object integrated assembly intention recognition for context-aware human-robot collaborative assembly26
Enhancing human indoor cognitive map development and wayfinding performance with immersive augmented reality-based navigation systems26
Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions26
High-speed train fault detection with unsupervised causality-based feature extraction methods26
Optimization of constraint engineering problems using robust universal learning chimp optimization26
Slot co-chartering and capacity deployment optimization of liner alliances in containerized maritime logistics industry26
An integrated online pick-to-sort order batching approach for managing frequent arrivals of B2B e-commerce orders under both fixed and variable time-window batching26
A supervised approach for automated surface defect detection in ceramic tile quality control26
Fault detection for non-condensing boilers using simulated building automation system sensor data26
The role of user-centered AR instruction in improving novice spatial cognition in a high-precision procedural task26
Vision-based method for semantic information extraction in construction by integrating deep learning object detection and image captioning25
Process and Outcome-based Evaluation between Virtual Reality-driven and Traditional Construction Safety Training25
Identification of accident-injury type and bodypart factors from construction accident reports: A graph-based deep learning framework25
Evaluating the attitudes of different trainee groups towards eye tracking enhanced safety training methods25
Deep-learning-based anomaly detection for lace defect inspection employing videos in production line25
Recognition of pedestrian trajectories and attributes with computer vision and deep learning techniques25
An integrated framework of user experience-oriented smart service requirement analysis for smart product service system development25
Simulation and optimization of automated masonry construction using cable robots25
Research on visual representation of icon colour in eye-controlled systems25
Underwater inspection of bridge substructures using sonar and deep convolutional network25
A function-oriented biologically analogical approach for constructing the design concept of smart product in Industry 4.025
Explainable artificial intelligence (XAI): Precepts, models, and opportunities for research in construction25
Integrated modeling for retired mechanical product genes in remanufacturing: A knowledge graph-based approach24
Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix24
State of the art in damage information modeling for RC bridges – A literature review24
Knowledge graph construction for product designs from large CAD model repositories24
Machine learning algorithm selection for windage alteration fault diagnosis of mine ventilation system24
A hybrid formation path planning based on A* and multi-target improved artificial potential field algorithm in the 2D random environments24
An integrated emotional and physiological assessment for VR-based active shooter incident experiments24
Implications of data-driven product design: From information age towards intelligence age24
An approach to capturing and reusing tacit design knowledge using relational learning for knowledge graphs24
A heuristic optimization approach for multi-vehicle and one-cargo green transportation scheduling in shipbuilding24
Machine learning method for CPTu based 3D stratification of New Zealand geotechnical database sites24
Performance Evaluation Indicator (PEI): A new paradigm to evaluate the competence of machine learning classifiers in predicting rockmass conditions24
How to identify promising chances for technological innovation: Keygraph-based patent analysis23
Comparison of different machine learning techniques on location extraction by utilizing geo-tagged tweets: A case study23
Digital twin-driven clamping force control for thin-walled parts23
Reinforcement Learning for Engineering Design Automation23
Deep learning driven real time topology optimisation based on initial stress learning23
Improving traffic prediction using congestion propagation patterns in smart cities23
Part-of-speech tagging of building codes empowered by deep learning and transformational rules23
A framework and method for Human-Robot cooperative safe control based on digital twin23
Multi-class classification of construction hazards via cognitive states assessment using wearable EEG22
Intelligent design of shear wall layout based on graph neural networks22
A cooperative game theory based user-centered medical device design decision approach under uncertainty22
Optimizing parcel sorting process of vertical sorting system in e-commerce warehouse22
Dynamic knowledge modeling and fusion method for custom apparel production process based on knowledge graph22
Uncertainty-aware soft sensor using Bayesian recurrent neural networks22
Human–robot collaborative partial destruction disassembly sequence planning method for end-of-life product driven by multi-failures22
A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction22
An AI-based open recommender system for personalized labor market driven education22
Modeling dynamic construction work template from existing scheduling records via sequential machine learning22
Multi-domain ubiquitous digital twin model for information management of complex infrastructure systems22
Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network22
Automated system for construction specification review using natural language processing22
A semi-supervised learning detection method for vision-based monitoring of construction sites by integrating teacher-student networks and data augmentation22
UAV imagery based potential safety hazard evaluation for high-speed railroad using Real-time instance segmentation22
Real-time scheduling for distributed permutation flowshops with dynamic job arrivals using deep reinforcement learning22
Cooperative surveillance systems and digital-technology enabler for a real-time standard terminal arrival schedule displacement21
BTAD: A binary transformer deep neural network model for anomaly detection in multivariate time series data21
3D CAD model retrieval based on sketch and unsupervised variational autoencoder21
Customer complaints monitoring with customer review data analytics: An integrated method of sentiment and statistical process control analyses21
Intelligent trademark similarity analysis of image, spelling, and phonetic features using machine learning methodologies21
Leveraging on causal knowledge for enhancing the root cause analysis of equipment spot inspection failures21
Risk of fire emergency evacuation in complex construction sites: Integration of 4D-BIM, social force modeling, and fire quantitative risk assessment21
Edge intelligence and agnostic robotic paradigm in resource synchronisation and sharing in flexible robotic and facility control system21
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