yusuke1997/dblp-id-title huggingface dataset:
A knowledge graph-enhanced large language model for question answering of hydraulic structure safety management
Knowledge graph-based mapping and recommendation to automate life cycle assessment
A novel integrated control framework of AFS, ASS, and DYC based on ideal roll angle to improve vehicle stability
SEED-Config: a tool for conceptual structural design in a collaborative building design environment
Iterative updating of digital twin for equipment: Progress, challenges, and trends
A harmonic domain regressor with dynamic task weighting strategy for multi-fidelity surrogate modeling in engineering design
A machine learning approach to design a DPSIR model: A real case implementation of evidence-based policy creation using AI
Berth template management for the container port of waterway-waterway transit
A FDQN-based tolerance closed-loop optimization model for thin-wall components in aircraft assembly
Complexity of the instantaneous frequency variation in auditory steady-state response: A high sensitivity, high anti-interference index of mental fatigue
A decision-making model for knowledge collaboration and reuse through scientific workflow
A novel small target detection method using frequency domain feature in complex construction site scene
A graph-based approach for unpacking construction sequence analysis to evaluate schedules
Advances and challenges in computing in civil and building engineering
A context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration
Enhancing EEG artifact removal through neural architecture search with large kernels
A knowledge base for finite element mesh design
Data-driven shuttle service design for sustainable last mile transportation
Prognostic fault prevention by segmented digital transformation of manufacturing process signals
Explainable seismic damage prediction model based on CELS-WOA-Stacking
An exact algorithm for RAP with k-out-of-n subsystems and heterogeneous components under mixed and K-mixed redundancy strategies
VR-Electricians : Immersive storytelling for attracting students to the electrical construction industry
An integrated neuro-genetic approach incorporating the Taguchi method for product design
Multi-modal transportation planning for multi-commodity rebalancing under uncertainty in humanitarian logistics
Understanding building occupant activities at scale: An integrated knowledge-based and data-driven approach
A survey of emerging applications of large language models for problems in mechanics, product design, and manufacturing
Helicopter trajectory planning method based on improved IRRT*-D* algorithm in forest fire rescue scenarios
Defect detection of the surface of wind turbine blades combining attention mechanism
Distributed fixed-time leader-referenced rigid shape formation control for multi-robot vehicles with prescribed performance
Causal inference of multivariate time series in complex industrial systems
An automatic unsafe states reasoning approach towards Industry 5.0's human-centered manufacturing via Digital Twin
Fuzzy logic in a blackboard system for controlling plasma deposition processes
A performance benchmark over semantic rule checking approaches in construction industry
Evaluating the efficiency and performance of data persistent systems in managing building and environmental Data: A comparative study
A geometric modelling framework for conceptual structural design from early digital architectural models
Towards generation of as-damaged BIM models using laser-scanning and as-built BIM: First estimate of as-damaged locations of reinforced concrete frame members in masonry infill structures
Intelligent tutoring systems for training of operators for thermal power plants
A universal domain adaptive fault diagnosis method for ground source heat pump units with unknown fault awareness capability
A human-centric model for task demand assessment based on unsupervised learning-assisted eye movement measure
GraphSmin: Imbalanced dissolved gas analysis with contrastive dual-channel graph filters
Knowledge graph-based representation and recommendation for surrogate modeling method
Health prediction under limited degradation data for rocket engine bearings via conditional inference knowledge-enrichment approach
Deep-learning-driven intelligent tool wear identification of high-precision machining with multi-scale CNN-BiLSTM-GCN
An integrated framework for blockchain-enabled supply chain trust management towards smart manufacturing
Enhancing industrial fault diagnosis via A Meta-learning: Zero-shot identification with constraint conditional variational autoencoder
An efficient solder joint defects method for 3D point clouds with double-flow region attention network
Decision support in the quotation process of engineered-to-order products
Evolutionary approach for solving cell-formation problem in cell manufacturing
FuREAP: a Fuzzy-Rough Estimator of Algae Populations
Customer requirement-driven design method and computer-aided design system for supporting service innovation conceptualization handling
A job grouping approach for planning container transfers at automated seaport container terminals
Mixed integer programming and multi-objective enhanced differential evolution algorithm for human-robot responsive collaborative disassembly in remanufacturing system
DeepMonte-Frame: an intelligent workflow for planar steel frame design based on Monte Carlo Tree Search and Feedforward Neural Networks
Optimal decisions for a two-echelon supply chain with capacity and demand information
Identifying and predicting delay risks in prefabricated construction: an explainable ensemble learning approach
IoT edge computing-enabled collaborative tracking system for manufacturing resources in industrial park
Topic discovery innovations for sustainable ultra-precision machining by social network analysis and machine learning approach
AIERO: An algorithm for identifying engineering relationships in ontologies
Autonomous vehicle extreme control for emergency collision avoidance via Reachability-Guided reinforcement learning
An ideation method for generating new product ideas using TRIZ, concept mapping, and fuzzy linguistic evaluation techniques
Z-number DEA: A new possibilistic DEA in the context of Z-numbers
Modeling and visualization of lifecycle building performance assessment
A three-stage framework for accurate detection of high-speed train body paint film defects
Multi-modal data novelty detection with modal diversity-unity-complementarity representation
Guided generation of strut-and-tie models for reinforced concrete structures with parametric graph grammatical evolution
Multivariate quality parallel prediction based on multi-machining feature cross domain integration in CNC machining systems
Evolutionary digital twin: A new approach for intelligent industrial product development
Model-based traffic control
Integrated machine learning framework for performance-based seismic assessment of post-tensioned steel-timber hybrid frames with energy-dissipating braces
Transformer-based hierarchical latent space VAE for interpretable remaining useful life prediction
A CNN-transformer framework for air quality forecasting to support aeolian dust management in river basins
Innovation design oriented functional knowledge integration framework based on reinforcement learning
A stepwise intelligence generative method for structured maintenance guidance documents based on knowledge graph augmented LLM
A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model
EN-mapnet: Efficient vectorized HD map construction with neighborhood-based queries
Computer vision for behaviour-based safety in construction: A review and future directions
A simulation-driven difference mode decomposition method for fault diagnosis in axial piston pumps
Fault diagnosis of electromechanical systems under coupled fault characteristics based on digital twin-integrated multi-task graph neural network
A physics-guided approach for accurate battery SOH estimation using RCMHCRE and BatteryPINN
Rolling bearing faults identification based on multiscale singular value
Interactive visualisation for decision support and evaluation of robustness - in theory and in practice
Research on group awareness of networked collaboration within the design team and between teams
Digital twin monitoring and simulation integrated platform for reconfigurable manufacturing systems
Arc-elasticity and hierarchical exploration of the neighborhood of solutions in mechanical design
Intelligent transformation in the operational maintenance of pumped storage units: Hydraulic-mechanical multi-scenario fault diagnosis based on tensor feature extraction indicators
Information requirements for earthquake damage assessment of structural walls
High-performance manufacturing systems: concepts, performance metrics, enablers, challenges, and research directions
How human-robot collaboration impacts construction productivity: An agent-based multi-fidelity modeling approach
Enhancing hurricane risk perception and mitigation behavior through customized virtual reality
Establish a patent risk prediction model for emerging technologies using deep learning and data augmentation
Semantic enrichment of BIM models for construction cost estimation in pumped storage hydropower using industry foundation classes and interconnected data dictionaries
Customised perspectives of past designs from automated group rationalisations
Balancing homogeneity and heterogeneity in design exploration by synthesizing novel design alternatives based on genetic algorithm and strategic styling decision
Hybrid physics-informed and data-driven model for torque estimation - toward real-time sensorless control of ultrasonic motors
Robust variable resolution pixel-level detection of multiple distresses on rural roads
A function-behavior mapping approach for product conceptual design inspired by memory mechanism
A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images
Imbalanced generative sampling of training data for improving quality of machine learning model
A rough set-based interval-valued intuitionistic fuzzy conceptual design decision approach with considering diverse customer preference distribution
Formula for irregular wave overtopping on vegetated seawall derived from physics-guided deep symbolic regression
Toward human-centric coal mine auxiliary operations in Industry 5.0: An XR-based approach for human-robot hybrid decision-making
Universal federated domain adaptation for gearbox fault diagnosis: A robust framework for credible pseudo-label generation
Selecting manufacturing partners in push and pull-type smart collaborative networks
Quantitative knowledge based approach for preliminary design of tall buildings
Multi-scale adaptive-routing capsule contrastive network-based intelligent fault diagnosis method for rotating machinery under noisy environment and labels
Automated ergonomic risk monitoring using body-mounted sensors and machine learning
Current research trends and application areas of fuzzy and hybrid methods to the risk assessment of construction projects
Analysis on the evolution of shipping logistics service supply chain market structure under the application of blockchain technology
Quality control engineering in automated ceramic tile production using a signal information content approach
Building contextual classifiers by integrating fuzzy rule based classification technique and k-nn method for credit scoring
Tailored vision-language framework for automated hazard identification and report generation in construction sites
Dynamic graph meta-learning with multi-sensor spatial dependencies for cross-category small-sample fault diagnosis in ZDJ9-RTAs
Pareto multi-criteria decision making
A regional domestic energy consumption model based on LoD1 to assess energy-saving potential
High-efficient view planning for surface inspection based on parallel deep reinforcement learning
MCDML-Net: A multi-center deep metric learning network and its wheel manufacturing application
NQPSO-SLFN: A Q-Learning enhanced PSO framework with neighborhood rough sets for failure mode recognition of reinforced concrete columns
The Analytical Hierarchy Process for contaminated land management
Development of a generalised dual sampling system with a flexible decision-rule-transformation mechanism
A multimodal surrogate model for the multiphysics optimization of dual-rotor in-wheel motors
Onsite video mining for construction hazards identification with visual relationships
Automatic defect detection of metro tunnel surfaces using a vision-based inspection system
A Novel Integrative Design Framework Combining 4D Sketching, Geometry Reconstruction, Micromechanics Material Modelling, and Structural Analysis
A crowdsourced co-modality transportation system integrating passenger and freight
A two-stage optimization model for road-rail transshipment procurement and truckload synergetic routing
Geometric spatial constraints network for slender and tiny surface defect detection
False alarm moderation for performance monitoring in industrial water distribution systems
A review on the progress, challenges and prospects in the modeling, simulation, control and diagnosis of thermodynamic systems
Semantic enrichment of building and city information models: A ten-year review
A human-centred approach based on functional near-infrared spectroscopy for adaptive decision-making in the air traffic control environment: A case study
Performance comparison of reduced models for leak detection in water distribution networks
Resilient cognitive twin: A generative approach
Classification of architectural and MEP BIM objects for building performance evaluation
Cascade operation-enhanced high-resolution representation learning for meticulous segmentation of bridge cracks
Adaptive single-source open domain generalization network: a novel physical information fusion framework for fault diagnosis based on physically embedded autoencoder and adaptive open-set feature separation
Knowledge-based navigation system for building health diagnosis
Investigating hazard recognition in augmented virtuality for personalized feedback in construction safety education and training
A branch-and-price-and-cut for the manpower allocation and vehicle routing problem with staff qualifications and time windows
Does intelligent CAD exist?
Physics modeling-driven interpretable data augmentation method for bearing fault diagnosis under imbalanced data
Digital twin and its potential applications in construction industry: State-of-art review and a conceptual framework
Investment estimation of prefabricated concrete buildings based on XGBoost machine learning algorithm
AI-driven non-destructive concrete stress state identification: A novel approach based on time-frequency analysis of active acoustic emission signals
Enhancing decision credibility in transport safety through a modified IPSI-EXPROM Ⅱ-PAM model with kernel density estimation
Improving construction industry process interoperability with Industry Foundation Processes (IFP)
A novel multi-task learning framework with fault mode feature separation for remaining useful life estimation of mechanical systems
Real-time scheduling for distributed permutation flowshops with dynamic job arrivals using deep reinforcement learning
DF-CoopNet: Cooperative perception via local feature enhancement and global sparse attention
Prediction of TBM operation parameters using machine learning models based on BPSO
The impact of engineering information format on task performance: Gaze scanning pattern analysis
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network
Artificial Intelligence Applications Institute (AIAI)
Quantitative risk assessment of railway intrusions with text mining and fuzzy Rule-Based Bow-Tie model
Enhancing construction safety compliance through a blockchain-enabled worker certification management system
Automatic perception of potential safety hazards: A cross-modal multi-task framework for feature alignment, image classification and captioning
A novel physics-guided approach for time-varying mesh stiffness estimation and data generation in gear fault diagnosis under imbalanced data
Extracting failure time data from industrial maintenance records using text mining
Improving completeness and accuracy of 3D point clouds by using deep learning for applications of digital twins to civil structures
Enhancing sustainable and green building materials assessment: A picture fuzzy symmetric χ2 divergence measure-based operational competitiveness rating analysis framework
FusionPose: a MediaPipe and keypoint R-CNN fused model for enhanced cyclist pose estimation and injury risk prediction
Ensemble learning of multi-kernel Kriging surrogate models using regional discrepancy and space-filling criteria-based hybrid sampling method
From regional sensitivity to intra-sensitivity for parametric analysis of free-form shapes: Application to ship design
Mass personalization strategy under Industrial Internet of Things: A case study on furniture production
Input variable selection in time-critical knowledge integration applications: A review, analysis, and recommendation paper
Combined forecasting approach for product quality based on support vector regression and gray forecasting model
Federated temporal-context contrastive learning for fault diagnosis using multiple datasets with insufficient labels
Exploring augmented reality for worker assistance versus training
Can we grow buildings? Concepts and requirements for automated nano- to meter-scale building
Applying back propagation network to cold chain temperature monitoring
Solving the feeder assignment, component sequencing, and nozzle assignment problems for a multi-head gantry SMT machine using improved firefly algorithm and dynamic programming
Empowering intelligent manufacturing with edge computing: A portable diagnosis and distance localization approach for bearing faults
Toward a further understanding of planetary roller screw mechanism transmission accuracy: From component relocatable space to actual contact position to sliding-rolling kinematic characteristics
Empowering LLMs by hybrid retrieval-augmented generation for domain-centric Q&A in smart manufacturing
End-users' acceptance of intelligent decision-making: A case study in digital agriculture
Inventory model involving reworking of faulty products with three carbon policies under neutrosophic environment
AirboardNet: A UAV onboard girder inspection approach for high-speed railroad bridge using multi-task knowledge distillation☆
Single image-based Gaussian splatting for 3D reconstruction of movable articulated objects
Digital Twin as a Service (DTaaS) in Industry 4.0: An Architecture Reference Model
Adaptive thresholding and coordinate attention-based tree-inspired network for aero-engine bearing health monitoring under strong noise
Data-driven multi-step robust prediction of TBM attitude using a hybrid deep learning approach
Design concept evaluation based on cloud rough model and modified AHP-VIKOR: An application to lithography tool manufacturing process
Product design-optimization integration via associative optimization feature modeling
Multi-component attention-based convolution network for color difference recognition with wavelet entropy strategy
Diagnostic test decision for suppliers in cruise-building supply chain with information asymmetry
High-dimensional time series analysis and anomaly detection: A case study of vehicle behavior modeling and unhealthy state detection
Generation of innovative structural connection components using generative adversarial networks
Conceptual design of a user-centric smart product-service system using self-organizing map
An application of metadata-based image retrieval system for facility management
Inspection equipment study for subway tunnel defects by grey-scale image processing
RTFnet: A multi-modal physiological data fusion approach for fatigue detection in remote tower controllers
State of research in automatic as-built modelling
Reliability-based robust optimization design for tolerance of aerospace thin-walled components based on surrogate model
A process knowledge-based hybrid method for univariate time series prediction with uncertain inputs in process industry
A method of prior feature extraction based on successive sparse estimation for inter-turn short circuit faults in PMSM
Artificial neural networks for job shop simulation
Data based complex network modeling and analysis of shield tunneling performance in metro construction
Rapid postearthquake modelling method for deformation monitoring models of high arch dams based on metalearning and graph attention
Explainable highway performance degradation prediction model based on LSTM
Selecting tools and techniques for model-based diagnosis
Systematic knowledge modeling and extraction methods for manufacturing process planning based on knowledge graph
Toward robust and quantifiable automated IFC quality validation
Time identification of design knowledge push based on cognitive load measurement
The transformative roles of generative artificial intelligence in vision techniques for structural health monitoring: A state-of-the-art review
Risk evaluation for industrial smart product-service systems: An integrated method considering failure mode correlations
Small data inverse intelligent design of two-dimensional lattice structures based on two-branch bidirectional gated recurrent units with first-order difference knowledge
Process and Outcome-based Evaluation between Virtual Reality-driven and Traditional Construction Safety Training
A nature-inspired decentralized trust model to reduce information unreliability in complex disaster relief operations
Managing the fatigue frontier: AI applications in air traffic control operations
Feature modeling for configurable and adaptable modular buildings
Cross domain matching for semantic point cloud segmentation based on image segmentation and geometric reasoning
Spatial-temporal analysis of safety risks in trajectories of construction workers based on complex network theory
I-FCSAM: An integrated framework of few-shot learning and segment anything model for vision-based indoor built environment management
Design explorations of performance driven geometry in architectural design using parametric modeling and genetic algorithms
A preview-based path tracking control approach for model mismatch mitigation amid extreme operational conditions
An iterative regression-based thermal response prediction methodology for instrumented civil infrastructure
Design concept evaluation considering information reliability, uncertainty, and subjectivity: An integrated rough-Z-number-enhanced MCGDM methodology
A decision framework for Chinese-style cruise ship design based on informativeness weight method and group consensus reaching model
Generative AI aids personalized product aesthetic generation and evaluation based on style themes
Machine learning method for CPTu based 3D stratification of New Zealand geotechnical database sites
Dynamic neural network method-based improved PSO and BR algorithms for transient probabilistic analysis of flexible mechanism
Physics-prior guided data generation for fault diagnosis in rotating machinery with imbalanced samples
Reinforcement learning in a distributed market-based production control system
Performance-based evaluation of RFID-based indoor location sensing solutions for the built environment
Selection of target LEED credits based on project information and climatic factors using data mining techniques
Sustainable building technology knowledge representation: Using Semantic Web techniques
Modeling and monitoring of construction supply chains
Cross-border e-commerce commodity risk assessment using text mining and fuzzy rule-based reasoning
Data-driven engineering design: A systematic review using scientometric approach
Vision-based motion prediction for construction workers safety in real-time multi-camera system
Supporting Urban Search and Rescue with digital assessments of structures and requests of response resources