yusuke1997/dblp-id-title huggingface dataset:
Machine learning in chemical-mechanical planarization: A comprehensive review of trends, applications, and challenges
Global principal planes aided LiDAR-based mobile mapping method in artificial environments
Remote collaborative framework for real-time structural condition assessment using Augmented Reality
Sequential multi-objective multi-agent reinforcement learning approach for system predictive maintenance of turbofan engine
Product-service system engineering characteristics design for life cycle cost based on constraint satisfaction problem and Bayesian network
An integrated method for resilient-sustainable supplier selection based on action-oriented practices
Short-term power load forecasting based on parallel decomposition
Introduction of a time series machine learning methodology for the application in a production system
Autonomous damage segmentation of post-fire reinforced concrete structural components
A novel prediction method for maximum opening time histories of arch dams under earthquakes based on transverse joint characteristics and Boruta-SHAP
A large-scale evaluation of automated metadata inference approaches on sensors from air handling units
Edge intelligence and agnostic robotic paradigm in resource synchronisation and sharing in flexible robotic and facility control system
Development of a 3D virtual environment for improving public participation: Case study - The Yuansantze Flood Diversion Works Project
A behavioral conditional diffusion probabilistic model for human motion modeling in multi-action mixed human-robot collaboration
Solving multi-task manufacturing cloud service allocation problems via bee colony optimizer with transfer learning
Hypergraphs and extremal optimization in 3D integrated circuit design automation
Multidomain neural process model based on source attention for industrial robot anomaly detection
Optimal feature selection on Serial Cascaded deep learning for predictive maintenance system in automotive industry with fused optimization algorithm
SIMTSeg: A self-supervised multivariate time series segmentation method with periodic subspace projection and reverse diffusion for industrial process
An intelligent HVAC control strategy for supplying comfortable and energy-efficient school environment
Automatic identification of bottlenecks for ambulance passage on urban streets: A deep learning-based approach
A retrospective analysis of Teletext: An interoperability standard evolving already over 30 years
Experiences in evolvability research
Beyond BCI - Validating a wireless, consumer-grade EEG headset against a medical-grade system for evaluating EEG effects of a test anxiety intervention in school
An individual-based spatio-temporal travel demand mining method and its application in improving rebalancing for free-floating bike-sharing system
Supplier selection with different risk preferences and attribute sets: An innovative study based on generalized linguistic term sets
Digital twin-driven unsupervised waveform segmentation for bearing quantitative diagnosis
Algorithmic translation of Ying-tsao-fa-shih: A study on tou-kung Morphogenesis
Semantic-driven spatial fusion for noise-resilient distance measurement in autonomous inspection of insulators
Spatial localization of forging surface defects based on complete and partial point cloud registration
Designer role identification based on ecological niche theory
Optimal adaptive finite-time control for flexible near-space vehicle based on Deep Forest
Real-time twin automated double cantilever rail crane scheduling problem for the U-shaped automated container terminal using deep reinforcement learning
Predictive structural assessment with Bayesian deep learning
Enhanced deep learning framework for accurate near-failure RUL prediction of bearings in varying operating conditions
Hybrid scheme through read-first-LSTM encoder-decoder and broad learning system for bearings degradation monitoring and remaining useful life estimation
Deep reinforcement learning-based air traffic flow coordination in flow-centric airspace
Developing A novel AI enabled extended reality system for real-time automatic facial expression recognition and system performance evaluation
In Memoriam: András Márkus (1949-2005)
Realisation of neural network controllers in integrated process supervision
A comprehensive multi-factor analysis on RFID localization capability
Sine-square embedded fuzzy sets versus type-2 fuzzy sets
In-trainNet: A Two-Step Data-Driven Framework for Enhancing Railway In-Train Forces Monitoring
A conceptual framework for knowledge-based design research at Sydney University's design computing unit
CO-DOSP: A hierarchical optimization-based motion planner for multi-robot manipulation in confined and task-constrained workspace
Quantitative lifecycle risk analysis of the development of a just-in-time transportation network system
An ontology-based knowledge framework for engineering material selection
BERT and Pareto dominance applied to biological strategy decision for bio-inspired design
Few-shot fault diagnosis for machinery using multi-scale perception multi-level feature fusion image quadrant entropy
Automated prediction and risk early warning of TBM advance rate
An extended Kalman filter and neural network cascade fault diagnosis strategy for the glutamic acid fermentation process
Back-propagation neural networks for modeling complex systems
Soccer shoe recommendation system based on multitechnology integration for digital transformation
Go-around occurrence prediction with rule-induction, rule evolution and Machine Learning algorithms
How semantics can improve engineering processes: A case of units of measure and quantities
Task-driven multi-UAV path planning via three-stage optimization strategy for urban region surveillance
NC process information mining based optimization method of roughing tool sequence selection for pocket features
A novel methodological framework for evaluating and optimizing PSS solutions based on user reviews and intelligent technologies
A dual-task prediction framework for industrial equipment based on prior knowledge-guided multiscale dynamic convolution and enhanced CGC
Defect-aware transformer network for intelligent visual surface defect detection
Empathic connectivity of exhibition technology and users in the digital Transformation: An integrated method of social network analysis and LDA model
Multi-model driven collaborative development platform for service-oriented e-Business systems
Adaptive knowledge push method of product intelligent design based on feature transfer
Systematic procedure of determining an ideal color scheme on 4D models
A collaborative adversarial framework: Distribution characteristics-guided alignment mechanism for fault diagnosis of machines considering domain shift
Hybrid mechanism and data-driven digital twin model for assembly quality traceability and optimization of complex products
The human-centric framework integrating knowledge distillation architecture with fine-tuning mechanism for equipment health monitoring
CRAFT: Comprehensive Resilience Assessment Framework for Transportation Systems in Urban Areas
Case reuse based product fuzzy configuration
Deep topology network: A framework based on feedback adjustment learning rate for image classification
Digital twin-assisted interpretable transfer learning: A novel wavelet-based framework for intelligent fault diagnostics from simulated domain to real industrial domain
Goal-guided multi-agent motion prediction with interactive state refinement
Crowd-based velocimetry for surface flows
A conflict clique mitigation method for large-scale satellite mission planning based on heterogeneous graph learning
Prediction of railroad track geometry change using a hybrid CNN-LSTM spatial-temporal model
STAR: Spatial-Temporal Attention Reasoning model for dynamic logistics network routing in Cyber-Physical Internet
Optimal Graph Transformer Viterbi knowledge inference network for more successful visual navigation
3D reconstruction and optimization system for underwater dam surface based on modified SfM and neural radiation fields
Quantifying the physical intensity of construction workers, a mechanical energy approach
A knowledge discovery and reuse method for time estimation in ship block manufacturing planning using DEA
The revolution of roundabouts in the autonomous driving era: A lane-free self-organized motion planning framework
A new laser-scanning sensing technique for underwater engineering inspection
Evolutionary attraction-repulsion algorithm embedded with LLM for UAV task allocation
Cross-attentional subdomain adaptation with selective knowledge distillation for motor fault diagnosis under variable working conditions
Blackboard scheduler control knowledge for diagnostic problem-solving
A hybrid intelligent genetic algorithm
Automated generation of a model view definition from an information delivery manual using idmXSD and buildingSMART data dictionary
A Stackelberg game model for construction waste transportation
Advancing post-earthquake structural evaluations via sequential regression-based predictive mean matching for enhanced forecasting in the context of missing data
TFD-Trans: Time-frequency hierarchical decomposition transformer for mechanical fault diagnosis
Digital twin-driven intelligent operation and maintenance platform for large-scale hydro-steel structures
Robust estimation of discrete hidden Markov model parameters using the entropy-based feature-parameter weighting and source-quantization modeling
Status quo and open challenges in vision-based sensing and tracking of temporary resources on infrastructure construction sites
PIFL: Physics-informed federated learning for progressive degradation estimation in energy storage devices
Single-domain incremental generation network for machinery intelligent fault diagnosis under unknown working speeds
VSL-Net: Voxel structure learning for 3D object detection
Obstacle detection and environment modeling based on multisensor fusion for robot navigation
Classification of major construction materials in construction environments using ensemble classifiers
Contrastive regularization guided label refurbishment for fault diagnosis under label noise
Reduced-order modeling approach for reciprocating compressor flow simulation by integrating physics-based reduction and deep learning
Bi-level programming enabled design of an intelligent maritime search and rescue system
An interpretable prediction framework for multi-class situational awareness in conditionally automated driving
Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm
Intelligent control and optimization of shield tunneling machines in tunnel construction: Insights from excavation parameter data analysis and interpretable machine learning
Revamping structural health monitoring of advanced rail transit systems: A paradigmatic shift from digital shadows to digital twins
An algorithm for automatic rule induction
A context-aware approach to automated negotiation using reinforcement learning
Selecting feasible standard form of construction contracts using text analysis
Usable autonomic computing systems: The system administrators' perspective
A survey of autonomous driving frameworks and simulators
DAUP: Enhancing point cloud homogeneity for 3D industrial anomaly detection via density-aware point cloud upsampling
Real-time deformation digital twin of composite plates via distributed fiber optic sensing
A novel Data-Driven framework based on BIM and knowledge graph for automatic model auditing and Quantity Take-off
Soft sensor based on stacked auto-encoder deep neural network for air preheater rotor deformation prediction
e-Forensics steganography system for secret information retrieval
Perspectors: composable, reusable reasoning modules to construct an engineering view from other engineering views
CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis
A multi-phase integrated scheduling method for cloud remanufacturing systems
Engineformer: A digital twin model for predicting aero-engine performance and degradation
Spectral boundary detecting model: A promising tool for adaptive mode extraction and machinery fault diagnosis
Corrigendum to "A review of augmented reality visualization methods for subsurface utilities" [Adv. Eng. Inf. 51 (2022) 101498]
Hybrid approach for selective delivery of information streams in data-intensive monitoring systems
Modelling the dynamics of customer requirements considering their lability and sensitivity in product development
Daily plan-do-check-act (PDCA) cycles with level of development (LOD) 400 objects for foremen
Fast detection of short circuits in copper electrolytic refining with PCA and a branching perceptron
SLDAE: An interpretable stacked Denoising Auto-Encoders for fan fault diagnosis on steelmaking workshops
Assessing the impact of 3D point neighborhood size selection on unsupervised spall classification with 3D bridge point clouds
Large language model-empowered dynamic scheduling for intelligent hybrid flow shop using multi-agent deep reinforcement learning
On-line control chart pattern detection and discrimination - a neural network approach
Enhanced customer requirement classification for product design using big data and improved Kano model
Adaptive navigation of autonomous vehicles using evolutionary algorithms
An improved case-based reasoning approach for mechanical design by enhancing the retrieval accuracy and leveraging the implicit knowledge
A cooperative game theory based user-centered medical device design decision approach under uncertainty
Autonomous driving at the handling limit using residual reinforcement learning
An interpretable multiplication-convolution residual network for equipment fault diagnosis via time-frequency filtering
Graph approach for Gibson's ecological optics with dynamics of network motifs
Xgboost application on bridge management systems for proactive damage estimation
Noise-robust compound fault feature extraction of variable speed rotating machinery via an amplitude modulation-driven decomposition framework
Intelligent control of external software systems
Railway stowage plan problem for steel coils considering pallet constraints: A novel combined method based on symmetric characteristics
CWPR: An optimized transformer-based model for construction worker pose estimation on construction robots
A collaborative model for controlling the green supply network in the motorcycle industry
Optimized selection of key frames for monocular videogrammetric surveying of civil infrastructure
A genetic algorithm for minimizing the makespan in the case of scheduling identical parallel machines
Industrial Internet of Things-enabled monitoring and maintenance mechanism for fully mechanized mining equipment
Modeling dynamic construction work template from existing scheduling records via sequential machine learning
Creating spatial visualizations using fine-tuned interior design style models informed by user preferences
Comparison among five evolutionary-based optimization algorithms
Deep digital twin-powered large vision-language model for multi-scenario industrial fault diagnosis
Optimal design of an integrated inspection scheme with two adjustable sampling mechanisms for lot disposition
Engineering theories as a basis for integrating deep engineering knowledge
A methodology for knowledge engineering using an interactive graphical tool for knowledge modelling
A 3D model encryption method supporting adaptive visual effects after decryption
S2SNet: Two-stream geometry-aware sequence to sequence network for robot motion skills learning and generalization
Towards future autonomous tugs: Design and implementation of an intelligent escort control system validated by sea trials
A framework for management of Knowledge-Based Engineering applications as software services: Enabling personalization and codification
Learning constrained static equilibrium for thrust network inverse form-finding via physics-informed geometric deep learning on CW complexes
Multi-expert attention network for long-term dam displacement prediction
Multiobjective optimization-based decision support for building digital twin maturity measurement
EfficientNet-ECA: A lightweight network based on efficient channel attention for class-imbalanced welding defects classification
Research on multi-step ahead prediction method for tool wear based on MSTCN-SBiGRU-MHA
Automated fault diagnosis of rotating machinery using sub domain greedy Network Architecture search
IT-based approach for effective management of project changes: A change management system (CMS)
A comprehensive review of clustering techniques in artificial intelligence for knowledge discovery: Taxonomy, challenges, applications and future prospects
Multivariate time series prediction of complex systems based on graph neural networks with location embedding graph structure learning
Contrastive learning of defect prototypes under natural language supervision
A degradation modeling method based on artificial neural network supported Tweedie exponential dispersion process
Application of time series analysis to improve the validity of Immersive virtual environments for collecting occupant thermal state and adaptive behavioral intention data
Network-level optimization of pavement maintenance renewal strategies
WOAO-GDVMD for decomposing closely-spaced modes and instantaneous frequency extraction in time-varying structures
Integrating MBD with BOM for consistent data transformation during lifecycle synergetic decision-making of complex products
A new wind power prediction method based on ridgelet transforms, hybrid feature selection and closed-loop forecasting
A ranking prediction strategy assisted automatic model selection method
Predicting human trust in human-robot collaborations using machine learning and psychophysiological responses
Optimal PID control for hovering stabilization of quadcopter using long short term memory
Integrating object detection and natural language processing models to build a personalized attraction recommendation agent in a smart product service system
Digital approaches to construction compliance checking: Validating the suitability of an ecosystem approach to compliance checking
CGCI: Cross-granularity Causal Inference framework for engineering Change Propagation Analysis
Human trust effect in remote human-robot collaboration construction task for different level of automation
A collaborative approach to assembly sequence planning
Automated generation of stacking plans for prefabricated panels transported by A-frame trailers
A marker-less assembly stage recognition method based on corner feature
BIM-based modeling and management of design options at early planning phases
Improved model-free adaptive control of shield machine posture during tunnelling
AIDECS: An AI-based, distributed environmental control system for self-sustaining habitats
Improving the accuracy of schedule information communication between humans and data
End-to-end point cloud-based segmentation of building members for automating dimensional quality control
Machine learning in artificial intelligence
Real-time path planning for heterogeneous UAV swarm based on two-stage optimization
Correlation analysis-based thermal error control with ITSA-GRU-A model and cloud-edge-physical collaboration framework
TFSAF-Net: a hybrid network integrating time-frequency spectral feature enhancement and attention for fault diagnosis of rotating machinery
A patent quality analysis for innovative technology and product development
Differences between inexperienced and experienced safety supervisors in identifying construction hazards: Seeking insights for training the inexperienced
A dual-perspective joint domain generalization network for bearing fault diagnosis under unseen working conditions
Crowd simulation-based knowledge mining supporting building evacuation design
3D-MMFN: Multi-level multimodal fusion network for 3D industrial image anomaly detection
A real-time automatic pavement crack and pothole recognition system for mobile Android-based devices
geof3D: SPARQL geometric functions for co-designing buildings
Knowledge centric service engineering for value chain management and sustainable network development
Architectural paradigms for robotics applications
WD-KANTF: An interpretable intelligent fault diagnosis framework for rotating machinery under noise environments and small sample conditions
PLM challenges
A collaborative web-based platform for the prescription of Custom-Made Insoles
Automating maintenance of road Geometric Digital Twins through single scan instance aware point cloud change retrieval
A comparative study on pretreatment methods and dimensionality reduction techniques for energy data disaggregation in home appliances
Main girder dynamic alignment reconstruction of cable-stayed bridge based on physics-informed neural network
A building regulation question answering system: A deep learning methodology
Automated plan assessment in cognitive manufacturing
Component integration manufacturing middleware for customized production
Semantic and spatial aware in-situ fastening defect inspection for aero-engine in augmented reality views
Automatic Fine-Grained BIM element classification using Multi-Modal deep learning (MMDL)
Combining empirical mode decomposition and deep recurrent neural networks for predictive maintenance of lithium-ion battery
A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure
A digital twin-based smart assembly for cable-driven parallel robots
Deep learning-assisted automatic quality assessment of concrete surfaces with cracks and bugholes
A fast transfer reinforcement learning model for transferring force-based human speed adjustment skills to robots for collaborative assembly posture alignment
Cross breeding in genetic optimisation and its application to fuzzy logic controller design
A human-assisted knowledge extraction method for machining operations
Building Society 5.0: a foundation for decision-making based on open models and digital twins
Integrated predictive motion control for electric vehicles: A fast solution for safety and control-constrained optimization
Adaptive feature consolidation residual network for exemplar-free continuous diagnosis of rotating machinery with fault-type increments
An integrative review exploring the development of sustainable product design in the technological context of Industry 4.0
Crowdsourced virtual reality experimental approach in pedestrian and evacuation dynamics research: Part II. Validation and new insights
Efficient algorithms for mining up-to-date high-utility patterns
Multi-scale 4D localized spatio-temporal graph convolutional networks for spatio-temporal sequences forecasting in aluminum electrolysis
Artificial neural networks as applied to long-term demand forecasting
Multi-process digital twin closed-loop machining through shape-feature state update and error propagation knowledge graph
Multi-dimensional building performance data management for continuous commissioning
Representing engineering design changes in finite element models using directed point cloud autoencoders
Behavior-based intelligent mobile robot using an immunized reinforcement adaptive learning mechanism
2015 edition of the Workshop of European Group for Intelligent Computing in Engineering (EG-ICE)
Special issue on engineering informatics for eco-design
Digital twins for automotive development: Two wheelers application
Service-oriented multi-skilled technician routing and scheduling problem for medical equipment maintenance with sudden breakdown
Special section: CSCWD2006 web service-oriented manufacturing resource applications for networked product development
Automated discovery of scientific concepts: Replicating three recent discoveries in mechanics
TBM rock mass classification using XGBoost and Interpretable Machine learning
Formalized knowledge of construction sequencing for visual monitoring of work-in-progress via incomplete point clouds and low-LoD 4D BIMs
Rotor dynamics informed deep learning for detection, identification, and localization of shaft crack and unbalance defects