yusuke1997/dblp-id-title huggingface dataset:
Convolutional neural networks for object detection in aerial imagery for disaster response and recovery
An empirical study on enhancing wafer quality: Integrating big data and AI in virtual metrology for thin-film processing
A descriptive semantics of modelling process catering for whole product parametric
AI methods for life-cycle serviceability design of mechanical systems
Scheduling of collaborative operations of yard cranes and yard trucks for export containers using hybrid approaches
Genetic algorithms for designing multihop lightwave network topologies
Evaluation of Augmented Reality instructions based on initial and dynamic assembly tolerance allocation schemes in precise manual assembly
Vibration-based incipient surge detection and diagnosis of the centrifugal compressor using adaptive feature fusion and sparse ensemble learning approach
Artificial intelligence-enhanced seismic response prediction of reinforced concrete frames
Bridging the sense-reasoning gap: DyKnow - Stream-based middleware for knowledge processing
Classifying architectural constraints as a basis for software quality assessment
Optimizing resource allocation with a hybrid algorithm: Enhancing time series mobility tasks efficiency
Investigating the effects of data and image enhancement techniques on crack detection accuracy in FMPI
A graph-based systems-of-systems architecture enabling multi-scale Digital Twins for maintaining road infrastructure
A closed-loop design approach based on the combination of knowledge graph and digital twin: a high-speed train bogie case study
Inferring workplace safety hazards from the spatial patterns of workers' wearable data
SBDNet: A deep learning-based method for the segmentation and quantification of fatigue cracks in steel bridges
Trend extrapolation for technology forecasting: Leveraging LSTM neural networks for trend analysis of space exploration vessels
Development of workspace conflict visualization system using 4D object of work schedule
Semantic elaboration of low-LOD BIMs: Inferring functional requirements using graph neural networks
Coordinated scheduling of production and logistics for large-scale closed-loop manufacturing using Benders decomposition optimization
Flexible yard space allocation plan for new type of automated container terminal equipped with unilateral-cantilever rail-mounted gantry cranes
An ontological approach to designers' idea explanation style: Towards supporting the sharing of kansei-ideas in textile design
A method for the analysis of the interaction between users and objects in 3D navigational space
An approach to combine progressively captured point clouds for BIM update
An active learning metamodeling approach by sequentially exploiting difference information from variable-fidelity models
Hierarchical fault propagation path recognition method based on knowledge-driven graph attention autoencoder with bilayer pooling for large-scale industrial system
Anomaly detection for construction vibration signals using unsupervised deep learning and cloud computing
A knowledge-based process planning framework for wire arc additive manufacturing
Floor shape optimization for green building design
A feature decomposition-based deep transfer learning framework for concrete dam deformation prediction with observational insufficiency
Analyzing engineering change of aircraft assembly tooling considering both duration and resource consumption
Optimal charging scheduling for Indoor Autonomous Vehicles in manufacturing operations
HELIX: A helicopter diagnostic system based on qualitative physics
Information-driven local path planning in broken ice regions for polar navigation based on the heuristic position-based Dubins-RRT* algorithm
A global modular framework for automotive diagnosis
Pavement raveling inspection using a new image texture-based feature set and artificial intelligence
Addressing unknown faults diagnosis of transport ship propellers system based on adaptive evolutionary reconstruction metric network
Optimization of constraint engineering problems using robust universal learning chimp optimization
An interpretable waveform segmentation model for bearing fault diagnosis
Unknown working condition fault diagnosis of rotate machine without training sample based on local fault semantic attribute
Exploring the potential of parallel drafting of building regulations
Automated disassembly-oriented knowledge graph construction for retired battery packs using a candidate entity-based relational triple joint extraction method
Modeling and validating temporal rules with semantic Petri net for digital twins
Adaptive blind deconvolution via convolutional neural networks for early fault detection in degraded gears under different speeds
Metamodeling of Smart Environments: from design to implementation
A service-oriented multi-player maintenance grouping strategy for complex multi-component system based on game theory
Multiscale cost-sensitive learning-based assembly quality prediction approach under imbalanced data
Hierarchical dynamics-aware deep learning for electricity consumption prediction in discrete manufacturing enterprises
A relational framework for smart information delivery manual (IDM) specifications
As-built data acquisition and its use in production monitoring and automated layout of civil infrastructure: A survey
Supporting communication and cooperation in distributed representation for adaptive design
Building information modelling - Experts' views on standardisation and industry deployment
A robust and accurate centerline extraction method of multiple laser stripe for complex 3D measurement
Multi-target prediction and dynamic interpretation method for displacement of arch dam with cracks based on A-DSRSN and SHAP
Multi-layer parallel-perceptual-fusion spatiotemporal graph convolutional network for cross-domain, poor thermal information prediction in cloud-edge control services
Guest editor's introduction: Special Issue on network methods in engineering
Failure load prediction and optimisation for adhesively bonded joints enabled by deep learning and fruit fly optimisation
Rule-base content verification using a digraph-based modelling approach
A status digital twin approach for physically monitoring over-and-under excavation in large tunnels
Physics-informed 3D deformation tracking for dimensional accuracy control of manufactured components
Industrial internet of things-driven storage location assignment and order picking in a resource synchronization and sharing-based robotic mobile fulfillment system
An efficient mixed constrained Bayesian optimization for handling known and unknown constraints
Improved air traffic flow prediction in terminal areas using a multimodal spatial-temporal network for weather-aware (MST-WA) model
Transforming engineering problems through graph representations
A class-added rail transit infrastructure object detection method using UAV aerial imagery based on self-ensemble masks and frequency-spatial calibration
SDO: A novel sled dog-inspired optimizer for solving engineering problems
Developing an integrated platform to enable hardware-in-the-loop for synchronous VR, traffic simulation and sensor interactions
A novel integrated multidomain temporal contrastive domain generalization learning framework for time-series quality prediction of batch machining
A novel SCDM algorithm with offset centroid-driven weight adaptation and its application to appearance design of automotive steering wheels
Immersive virtual reality applications for design reviews: Systematic literature review and classification scheme for functionalities
An integrated design concept evaluation method based on fuzzy weighted zero inconsistency and combined compromise solution considering inherent uncertainties
Moving load induced dynamic response analysis of bridge based on physics-informed neural network
Graph-based clustering approach for predicting natural frequencies of arch dams
'Generate & test and rectify' - A plan synthesis tactic for automatic process planning
A model-driven dual-derivation framework for quantitative fault detection in satellite power system
Graph neural network-assisted evolutionary algorithm for rapid optimization design of shear-wall structures
Service design for intelligent parking based on theory of inventive problem solving and service blueprint
Assessment of drivers' mental workload: exploring the roles of multimodal physiological measures, driving measures and their combinations
Digital twin updating method of railway vehicle bogies based on hybrid whale sea-horse optimization
Hybrid digital twin for satellite temperature field perception and attitude control
Hybrid large language model approach for prompt and sensitive defect management: A comparative analysis of hybrid, non-hybrid, and GraphRAG approaches
Co-evolutionary digital twins: A multidimensional dynamic approach to digital engineering
Novel blockchain deep learning framework to ensure video security and lightweight storage for construction safety management
DPGIIL: Dirichlet process-deep generative model-integrated incremental learning for clustering in transmissibility-based online structural anomaly detection
Mathematical formulation and hybrid algorithm for a three-dimensional parallel row ordering problem considering adaptive material handling points and obstacles
Understanding emotional values of bionic features for educational service robots: A cross-age examination using multi-modal data
Ontologies for the generic motor winding process
Exploring product rendering generation design catering to multi-emotional needs through the Superiority Chart-Entropy Weight method and Stable Diffusion model
Putting the crowd to work in a knowledge-based factory
A two-phased SEM-neural network approach for consumer preference analysis
What did you learn from practice today? Exploring experiences from a Danish R&D effort in digital construction
Applying digital twins for the management of information in turnaround event operations in commercial airports
The development of a connectionist expert system for compensation of color deviation in offset lithographic printing
Leveraging linked data for space constraints checking of mobile cranes in modular construction assembly lookahead planning
Applications of multimodal large language models in construction industry
Degradation evaluation of lateral story stiffness using HLA-based deep learning networks
Deep learning architectures for automated change detection and classification in mechanical design
Automatic defect localization method based on BIM projected image
Enhancing gaze interaction performance: Design and optimization of perspective-driven fisheye view
Artificial intelligence approaches to determination of CNC machining parameters in manufacturing: a review
A Self-adaptive ASIFT-SH method
Cooperative dual-actor proximal policy optimization algorithm for multi-robot complex control task
A novel causal feature learning-based domain generalization framework for bearing fault diagnosis with a mixture of data from multiple working conditions and machines
A hybrid method combining Lévy process and neural network for predicting remaining useful life of rotating machinery
Uncertainty-aware hybrid surrogate model-accelerated constrained multi-objective design of arch dam
Implications of data-driven product design: From information age towards intelligence age
A review of multi-modal deep learning towards agentic smart manufacturing
A Machine learning approach for Post-Disaster data curation
Design gene based secure mechanism for collaborative product development
Evaluating two model-free data interpretation methods for measurements that are influenced by temperature
An evaluation and design method for Ming-style furniture integrating Kansei engineering with particle swarm optimization-support vector regression
Fast urban flood modeling informing response decisions: Model development and future perspectives
Disassembly sequence structure graphs: An optimal approach for multiple-target selective disassembly sequence planning
A marker-less assembly stage recognition method based on segmented projection contour
Convolutional long short-term memory model for recognizing construction workers' postures from wearable inertial measurement units
A Bayesian support tool for morphological design
Predicting fast crack propagation in welded steel plates with random flaws using Recurrent Neural Networks
Transdisciplinary systems approach to realization of digital transformation
A diffusion-based feature enhancement approach for driving behavior classification with EEG data
Automated 3D compliance checking in pipe spool fabrication
Fault vibration model driven fault-aware domain generalization framework for bearing fault diagnosis
Context-aware cognitive design assistant: Implementation and study of design rules recommendations
A human-inspired slow-fast dual-branch method for product quality prediction of complex manufacturing processes with hierarchical variations
Scaffolding worker IMU time-series dataset for deep learning-based construction site behavior recognition
Generation and visualization of earthquake drill scripts for first responders using ontology and serious game platforms
Signage visibility analysis and optimization system using BIM-enabled virtual reality (VR) environments
Enhancing the robustness of multi-objective deep reinforcement learning controllers of active fluid film bearings under the model and load uncertainties
EEG-based approach for recognizing human social emotion perception
Shared control strategy grounded in double-layered human-machine game under information asymmetry
A hybrid prognostic & health management framework across multi-level engineering systems with scalable convolution neural networks and adjustable functional regression models
Configuration of control system for damage tolerance of a tensegrity bridge
Labeling-free RAG-enhanced LLM for intelligent fault diagnosis via reinforcement learning
Optimized transportation scheduling for precast concrete components considering heterogeneous vehicle-size matching
Smart work packaging-enabled constraint-free path re-planning for tower crane in prefabricated products assembly process
Identification and predictive control of a melter unit used in the sugar industry
A supervised contrastive learning method based on online complement strategy for long-tailed fine-grained fault diagnosis
Heuristic methods for vehicle routing problem with time windows
Prediction of compression modulus of Nantong fine-grained soil based on an interpretability-driven GSA-optimized CatBoost model
Reasoning with geometry: Predicting stress concentration factors
Root cause analysis and prediction of quality issues in the complex aviation products assembly process using object oriented Bayesian networks
Ontology and rule-based natural language processing approach for interpreting textual regulations on underground utility infrastructure
Deep learning-based construction equipment operators' mental fatigue classification using wearable EEG sensor data
Perspectives on hierarchical modeling in mechatronic design
Automatic lightweight networks for real-time road crack detection with DPSO
Multi-sensor information fusion via integration of multiple non-euclidean graphs for industrial equipment feature extraction under limited task labels
Risk assessment and interactive motion planning with visual occlusion using graph attention networks and reinforcement learning
Qualitative simulation in the limit
Automated data-driven method for creating digital building models from dense point clouds and images through semantic segmentation and parametric model fitting
Fast convergence optimization model for single and multi-purposes reservoirs using hybrid algorithm
Special issue on collaborative environments for design and manufacturing
A spatial-temporal neural network based on ResNet-Transformer for predicting railroad broken rails
Comparative study of multiple criteria decision making methods for building design
Assembly process analysis and system design for deep in-situ fidelity corer
Development of expert systems for stream sampling in mineral processing plants
Automated reuse of design plans
Template-based configuration and execution of decision workflows in design of complex engineered systems
Exploiting relation of video segments for temporal action detection
Mechanical-chemical synergy in photochemical mechanical polishing monocrystalline yttrium aluminum garnet: An integrated machine learning, response surface, and mathematical methodology
Data-source interoperability service for heterogeneous information integration in ubiquitous enterprises
A field implementation of linear prediction for leak-monitoring in water distribution networks
A user preference prediction model based on the chaos of cognitive system for product form
SCG-GFFE: A Self-Constructed graph fault feature extractor based on graph Auto-encoder algorithm for unlabeled single-variable vibration signals of harmonic reducer
Spatial to kinematically determined structural transformations
Reliable monitoring and prediction method for transmission lines based on FBG and LSTM
The spatiotemporal band-gated modal decomposition method and its application in compound fault diagnosis of gearbox
Information lifecycle management with RFID for material control on construction sites
Improved digital photogrammetry technique for crack monitoring
Solving an industry-inspired generalization of lifelong MAPF problem including multiple delivery locations
Bottom-up image detection of water channel slope damages based on superpixel segmentation and support vector machine
Box-Loc: Box-aware module localization using point cloud and deep learning in modular integrated construction
An explainable AI-based approach for identifying interior design style principles
A method of constructing an inspiration library driven by user-perceived preference evaluation data for biologically inspired design
Attention-SP-LSTM-FIG: An explainable neural network model for productivity prediction in aircraft final assembly lines
Modeling and simulation of complex manufacturing phenomena using sensor signals from the perspective of Industry 4.0
A mobile robot based system for fully automated thermal 3D mapping
Inverse design of lattice structures with target mechanical performance via generative adversarial networks considering the effect of process parameters
Prototyping virtual reality serious games for building earthquake preparedness: The Auckland City Hospital case study
Evaluating visual encoding quality of a mixed reality user interface for human-machine co-assembly in complex operational terrain
Cognitive workload quantification for air traffic controllers: An ensemble semi-supervised learning approach
Human-like redundancy resolution: An integrated inverse kinematics scheme for anthropomorphic manipulators with radial elbow offset
Combining visual natural markers and IMU for improved AR based indoor navigation
Mitigating traffic oscillations in mixed traffic flow with scalable deep Koopman predictive control
Why individuals do not use emergency exit doors during evacuations: A virtual reality and eye-tracking experimental study
Adaptive similarity search for the retrieval of rare events from large time series databases
Vehicle ride comfort optimization in the post-braking phase using residual reinforcement learning
A cooperative virtual prototyping system for mechatronic solution elements based assembly
Multiagent coordination and cooperation in a distributed dynamic environment with limited resources
Wood defects classification using laws texture energy measures and supervised learning approach
Formulation and analysis of dynamic supply chain of backfill in construction waste management using agent-based modeling
A prototype expert system for embodiment design of mechanisms and articulated systems
A novel multi-sensor information fusion method for fault diagnosis of rotating machinery with missing signals
Crowdsourced reliable labeling of safety-rule violations on images of complex construction scenes for advanced vision-based workplace safety
An object-based representation method for a manufacturing cell controller
A distributed multi-model-based Management Information System for simulation and decision-making on construction projects
Operator guidance system for coal washing
Advancements in 3D digital model generation for digital twins in industrial environments: Knowledge gaps and future directions
Estimating the productivity of cyclic construction operations using case-based reasoning
Dominic: A Domain-Independent Program for Mechanical Engineering Design
A subtle defect recognition method for catenary fastener in high-speed railroad using destruction and reconstruction learning
Research on roller bearing fault diagnosis based on robust smooth constrained matrix machine under imbalanced data
Physics-informed deep learning method for surface roughness prediction in milling process
Constructing a health indicator for bearing degradation assessment via an unsupervised and enhanced stacked autoencoder
Augmented reality visualization: A review of civil infrastructure system applications
Smart concept design based on recessive inheritance in complex electromechanical system
Social learning in self-organizing systems for complex assembly tasks
Path planning in construction sites: performance evaluation of the Dijkstra, A * , and GA search algorithms
A semantics-driven framework to enable demand flexibility control applications in real buildings
Methodology for creation of labeled image datasets of entrained air voids and aggregates in concrete surfaces using confocal laser scanning microscopy
A factorisation model of robotic tasks
Identification of flange specification in real industrial settings with human reasoning assisted by augmented reality
A codimension-zero approach to discretizing and solving field problems
Cross-domain comparative analysis of digital twins and universalised solutions
Smart cushion-based non-invasive mental fatigue assessment of construction equipment operators: A feasible study
Semi-supervised fault diagnosis of gearbox based on feature pre-extraction mechanism and improved generative adversarial networks under limited labeled samples and noise environment
Stabilization fuzzy control of inverted pendulum systems
Geometric entropy: A novel nonlinear measure for bearing fault diagnosis
Are you a human or a humanoid: Predictive user modelling through behavioural analysis of online gameplay data
The grinding wheel wear condition monitoring method based on multi-sensor information hierarchical fusion for high-speed cylindrical grinding
A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings
A method for clustering unlabeled BIM objects using entropy and TF-IDF with RDF encoding
Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network
3D real-time dynamic path planning for UAV based on improved interfered fluid dynamical system and artificial neural network
Simulation and optimization of automated masonry construction using cable robots
Process-oriented guidelines for systematic improvement of supervised learning research in construction engineering
Overlay Design Methodology for virtual environment design within digital games
Network and supply chain system integration for mass customization and sustainable behavior
CyGen-SAC: A data-driven framework for representativeness metric and policy optimization in generation of multidimensional driving cycles
Regression generative adversarial network based on bounded losses for prediction of free calcium oxide in cement clinker
A heuristic optimization approach for multi-vehicle and one-cargo green transportation scheduling in shipbuilding
Digital buildings - Challenges and opportunities
Enhancing Human-Robot Collaborative Transportation of Deformable Objects using Multi-modal Reinforcement Learning and Adaptive Admittance Control
The retrieval of structured design rationale for the re-use of design knowledge with an integrated representation