yusuke1997/dblp-id-title huggingface dataset:
A knowledge-based dynamic job-scheduling in low-volume/high-variety manufacturing
Fault diagnosis of gearbox driven by vibration response mechanism and enhanced unsupervised domain adaptation
Process thinking in support of system specification and selection
A novel empirical random feature decomposition method and its application to gear fault diagnosis
Feasibility of augmented reality technology for communication in the construction industry
PredMaX: Predictive maintenance with explainable deep convolutional autoencoders
Restoration of the distorted color to detect the discoloration status of a steel bridge coating using digital image measurements
FTSDC: A novel federated transfer learning strategy for bearing cross-machine fault diagnosis based on dual-correction training
BIM perspective definition metadata for interworking facility management data
Digital twin-based assembly process framework utilizing STEP and knowledge graph
A study that applies aesthetic theory and genetic algorithms to product form optimization
GridGAN-TXT: An intelligent approach to partitioning architectural free-form surfaces with text prompts
Ontology for building permit authorities (OBPA) for advanced building permit processes
Modeling the dynamic safety management of buildings adjacent to karst shield construction: An improved cloud Bayesian network
Context-aware AR adaptive information push for product assembly: Aligning information load with human cognitive abilities
Research on the construction of event logic knowledge graph of supply chain management
Semantic methods supporting engineering design innovation
Computer based pedestrian landscape design using decision tree templates
Learning viewpoint control from human-initiated transitions for teleoperation in construction
A function-oriented biologically analogical approach for constructing the design concept of smart product in Industry 4.0
Integrated knowledge systems
A belief framework for order-of-magnitude reasoning and other qualitative relations
Training the neocognitron network using design of experiments
Knowledge-based tools for development of engineering theories
NAS-ASDet: An adaptive design method for surface defect detection network using neural architecture search
Corrigendum to "Automated system for construction specification review using natural language processing" [Adv. Eng. Inf. 51 (2022) 101495]
A similarity-aware ensemble method for displacement prediction of concrete dams based on temporal division and fully Bayesian learning
An intelligent customized design method for complex products under the influence of dynamic uncertainty
An elastic manifold learning approach to beat-to-beat interval estimation with ballistocardiography signals
Disruption management-based coordinated scheduling for vessels and ship loaders in bulk ports
A novel user scenario and behavior sequence recognition approach based on vision-context fusion architecture
A hybrid system for SPC concurrent pattern recognition
A feature curve-based method for balancing brand identity and emotional imagery in automobile frontal form design
Agile solution search strategy for solving multi-conflicts in product development
Automatic pose measurement of robotic drilling system based on zoom monocular vision
An approach to capturing and reusing tacit design knowledge using relational learning for knowledge graphs
Toward automated generation of parametric BIMs based on hybrid video and laser scanning data
Identification of stochastic disturbance sources of air doors in mine ventilation systems
Development of user interface for tele-operated cranes
Editorial: Human-centered product design and development
Bio-inspired generative design for engineering products: A case study for flapping wing shape exploration
Feature-based modeling for industrial processes in the context of digital twins: A case study of HVOF process
Keypoint detection-based and multi-deep learning model integrated method for identifying vehicle axle load spatial-temporal distribution
Anomaly detection of machinery under time-varying operating conditions based on state-space and neural network modeling
Constructing an exactly periodic subspace for enhancing SSVEP based BCI
SAFS-Net: A novel health indicator extraction and fault early warning method for machinery
An integrated MEREC-taxonomy methodology using T-spherical fuzzy information: An application in smart farming decision analytics
Transfer learning for long-interval consecutive missing values imputation without external features in air pollution time series
Multifractal analysis of acoustic signals for leak detection in urban water distribution networks
Online monitoring and collaborative scheduling method for wheelset cyber-physical production system: A wheelset manufacturing system case study from a Chinese high-speed train enterprise
A few-shot modelling method for early-stage safety monitoring of high earth-rock dams based on multi-source domain adaptation
Remaining useful life prediction of bearings by a new reinforced memory GRU network
Physics-informed reinforcement learning for air-to-air F16 target aiming
Pre-processing parallel and orthogonally positioned structural design elements to be used within the finite element method
Cloud-fog-edge based computing architechture and a hierarchical decision approach for distributed synchronized manufacturing systems
Enhanced predictive modelling process of broadband services adoption based on time series data
Automatic defect detection of texture surface with an efficient texture removal network
Data mining and knowledge discovery in materials science and engineering: A polymer nanocomposites case study
Modeling spatiotemporal temperature dynamics of large-format power batteries: A multi-source information fusion approach
An intelligent multi-blackboard CAD system
Enhancing construction robot learning for collaborative and long-horizon tasks using generative adversarial imitation learning
Time-frequency self-similarity enhancement network and its application in wind turbines fault analysis
Complex flow simulations in natural aquifer
Topological semantics for lumped parameter systems modeling
An optimized combination prediction model for concrete dam deformation considering quantitative evaluation and hysteresis correction
A multiplex network based analytical framework for safety management standardization in construction engineering
Ontology-based reasoning in automatic floor plan analysis
Evolutionary processing of design knowledge using message delegation
Weighted distributed compressed sensing: An efficient gear transmission system fault feature extraction approach for ultra-low compression signals
Research on visual representation of icon colour in eye-controlled systems
Knowledge-driven intelligent quality problem-solving system in the automotive industry
Integrating preventive and predictive maintenance policies with system dynamics: A decision table approach
Enabling automated facility maintenance from articulated robot Collision-Free designs
Artificial intelligence for eco-design: a systematic review
Applications of AI in design research at Carnegie Mellon University's EDRC
Dynamic yard crane dispatching in container terminals with predicted vehicle arrival information
Prediction of interface yield stress and plastic viscosity of fresh concrete using a hybrid machine learning approach
AI-powered adaptive exoskeletons for long-term musculoskeletal disorder prevention in dynamic construction environments
Uncertainty-aware Bayesian neural network with SHAP interpretability for data-driven assembly quality prediction in complex manufacturing systems
Adaptive symmetry activation function for special Euclidean group: Theory and application
Modified adaptive discrete control system containing neural estimator and neural controller
Clash context representation and change component prediction based on graph convolutional network in MEP disciplines
Predicting workers' inattentiveness to struck-by hazards by monitoring biosignals during a construction task: A virtual reality experiment
Flip-chip solder bumps defect detection using a self-search lightweight framework
A novel remaining useful life prediction method under multiple operating conditions based on attention mechanism and deep learning
Information-guided signal multi-granularity contrastive feature learning for fault diagnosis with few labeled data
Time-tired compaction: An elastic compaction scheme for LSM-tree based time-series database
Dear Professors G. Rzevski, I. Smith and T. Tomiyama
Speed-Normalized Expansion-and-Shrinkage network for health indicator generating under time-varying conditions
Design method based on linguistics and logic
Reinforcement learning-based distant supervision relation extraction for fault diagnosis knowledge graph construction under industry 4.0
Implementation of a knowledge base for interpreting and driving integrated circuit floorplanning algorithms
A genetic algorithm for continuous design space search
Retrieving 3D CAD model by freehand sketches for design reuse
Untangling parameters: A formalized framework for identifying overlapping design parameters between two disciplines for creating an interdisciplinary parametric model
Web-based human-robot collaboration digital twin management and control system
Bridge construction schedule generation with pattern-based construction methods and constraint-based simulation
Residual attention guided vision transformer with acoustic-vibration signal feature fusion for cross-domain fault diagnosis
A methodology of risk assessment, management, and coping actions for nuclear power plant (NPP) hit by high-explosive warheads
Blockchain-based application for NC machining process decision and transaction
A novel change feature-based approach to predict the impact of current proposed engineering change
Artificial intelligence-enabled predictive energy saving planning of liquid cooling system for data centers
SRANet: A scale and region-aware attention network for intelligent road defect detection
A unified view on planning, scheduling and dispatching for a factory
Series arc fault diagnosis method of photovoltaic arrays based on GASF and improved DCGAN
A systematic data-mining-based methodology for product family design and product configuration
A two-stage multisource heterogeneous information fusion framework for operating condition identification of industrial rotary kilns
An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain
A framework for brain learning-based control of smart structures
An organizational approach to designing an intelligent knowledge-based system: Application to the decision-making process in design projects
Combinatorial synthesis approach employing graph networks
Aircraft post-upset flight risk region prediction for aviation safety management
Comprehensive understanding of smart product service system from multi-dimension and multi-perspective: An innovative service model for Customer-product Interaction Life Cycle (CILC)
Proactive search enabled context-sensitive knowledge supply situated in computer-aided engineering
A flexible tolerance genetic algorithm for optimal problems with nonlinear equality constraints
Quantitative recommendation of fault diagnosis algorithms based on multi-order random graph convolution under case-learning paradigm
A hierarchical assembly knowledge representation framework and microdevice assembly ontology
Digital Twins for the built environment: learning from conceptual and process models in manufacturing
Qualitative simulation using time-scale abstraction
Specification and implementation of directional operators in a 3D spatial query language for building information models
An edge-cloud IIoT framework for predictive maintenance in manufacturing systems
Application of rough hierarchical graph community detection model in multi-granularity recommendations
Game-based crowdsourcing to support collaborative customization of the definition of sustainability
From analogy to innovation: A creative conceptual design approach leveraging large language models
Inter-subject transfer learning for EEG-based mental fatigue recognition
Making manufacturing knowledge graph more intelligent: A knowledge intelligence management method for manufacturing enterprises
The role of user-centered AR instruction in improving novice spatial cognition in a high-precision procedural task
Research on a knowledge modelling methodology for fault diagnosis of machine tools based on formal semantics
A two-stage learning framework for imbalanced semi-supervised domain generalization fault diagnosis under unknown operating conditions
Three-dimensional (3D) reconstruction of structures and landscapes: A new point-and-line fusion method
Assessing mental fatigue in mobile crane operators using non-invasive wearable sensor: A study on construction site
Integration of LiDAR scan-to-IFC and UWB real-time positioning for automated construction monitoring: a precast module case study
Synthesis of reinforcement learning, neural networks and PI control applied to a simulated heating coil
Intelligent computing in Architecture, Engineering and Construction
An ontology-based analysis of the industry foundation class schema for building information model exchanges
General-purpose modular hardware and software framework for mobile outdoor augmented reality applications in engineering
A quantitative analysis of parametric CAD model complexity and its relationship to perceived modeling complexity
Interpretable Spatial-Temporal Graph Convolutional Network for System Log Anomaly Detection
Capacitated closed-loop supply chain network design under uncertainty
Internal pump leakage detection of the hydraulic systems with highly incomplete flow data
The meta-defect-detection system for gear pitting based on digital twin
An integrated QFD and FMEA approach to identify risky components of products
Construction safety management in the data-rich era: A hybrid review based upon three perspectives of nature of dataset, machine learning approach, and research topic
A novel completion status prediction for the aircraft mixed-model assembly lines: A study in dynamic Bayesian networks
A novel reconstruction method with robustness for polluted measurement dataset
A virtual reality-based ergonomic assessment approach for human-robot collaboration workstation design in modular construction manufacturing
Grinding wheel specification cybernetic recommendation with multi-task multi-imbalanced learning in smart manufacturing system
A novel method for aeroengine performance model reconstruction based on CDAE model
Reward shaping in multiagent reinforcement learning for self-organizing systems in assembly tasks
Product platform configuration for product families: Module clustering based on product architecture and manufacturing process
A hybrid two-way fluid-solid interaction method for intermittent fluid domains: A case study on peristaltic pumps
High-speed train fault detection with unsupervised causality-based feature extraction methods
Adaptive control of a robot arm using driver programs
Decentralized coordination of intelligent system of systems under partial observability
Trim allowance calculation and distribution optimization for aircraft skin panels based on complex assembly seam features measurement
Development of an unwanted-feature removal system for Structure from Motion of repetitive infrastructure piers using deep learning
Open set transfer learning for bearing defect recognition based on selective momentum contrast and dual adversarial structure
Data management for animation of construction processes
Research on the relations between cognition and intelligent transformation of executive teams in small and medium-sized manufacturing enterprises
Vibration signal-based early fault prognosis: Status quo and applications
A novel RSG-based intelligent bearing fault diagnosis method for motors in high-noise industrial environment
Hierarchical multi-agent planning for flexible assembly of large-scale lunar facilities
A novel pixel-level aging status evaluation method on on-site post insulators
A quantitative aesthetic measurement method for product appearance design
Grammatical rules for specifying information for automated product data modeling
Applying incremental Deep Neural Networks-based posture recognition model for ergonomics risk assessment in construction
A shared ontology for integrated highway planning
Prior-knowledge-guided mode filtering network for interpretable equipment intelligent diagnosis under varying speed conditions
A novel deep learning prediction model for concrete dam displacements using interpretable mixed attention mechanism
Systems thinking and time-independent solutions for integrated scheduling in automated container terminals
Vision-based estimation of the number of occupants using video cameras
Beyond the images: Comprehensible unsafe behaviour recognition boosted by joint inference graph with multi-hop reasoning
Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification
A study on product attribute identification and decision-making based on design cognitive conflicts
Industrial neural vision system for underground railway station platform surveillance
Multi-scale Graph Convolutional Network for understanding human action in videos
A hybrid proximal policy optimization and particle swarm algorithm for highway alignment optimization
On extending the quantity space in qualitative reasoning
Estimating correspondence between arbitrarily selected points in two widely-separated views
Automatic generation of fabrication drawings for façade mullions and transoms through BIM models
Multiview modeling for mechatronic design
Generating code for engineering design systems using software patterns
Liquid neural network in smart manufacturing: A new opportunity
A hierarchical feature-logit-based knowledge distillation scheme for internal defect detection of magnetic tiles
Intelligent engineering software research at the Tallinn Institute of Cybernetics
FedITA: A cloud-edge collaboration framework for domain generalization-based federated fault diagnosis of machine-level industrial motors
Computational infrastructure for concepts discovery in science and technology
Domain weighted distribution adaptation network: a novel remaining useful life prediction framework for machinery targeting time-varying operation conditions
Hybrid physics-embedded recurrent neural networks for fault diagnosis under time-varying conditions based on multivariate proprioceptive signals
Dealing with physical quantities in object-oriented database
Implementation path and reference framework for Industrial Internet Platform (IIP) in product service system using industrial practice investigation method
A supervised approach for automated surface defect detection in ceramic tile quality control
A constraint satisfaction approach to resolving product configuration conflicts
Pattern directed extraction and characterization of defect configurations in solid log models
A reinforcement ensemble deep transfer learning network for rolling bearing fault diagnosis with Multi-source domains
Stream flow predictions using nature-inspired Firefly Algorithms and a Multiple Model strategy - Directions of innovation towards next generation practices
Product line design and introduction strategies for crowdfunding in presence of social learning
DD-DETR: A dual-decoder DETR with information interaction and competitive learning for blade surface defect detection
FlawMatch: Conditional defect image generation via flow matching for improved surface defect classification
Automated vision tracking of project related entities
A hybrid deep semantic mining method considering fuzzy expressions for the automatic recognition of construction safety hazard information
Dynamic knowledge modeling and fusion method for custom apparel production process based on knowledge graph
The cognitive factory
Unlocking freeform structured surface denoising with small sample learning: Enhancing performance via physics-informed loss and detail-driven data augmentation
Modified OFS-RDS bat algorithm for IFS encoding of bitmap fractal binary images
MetaGNSDformer: Meta-learning enhanced gated non-stationary informer with frequency-aware attention for point-interval remaining useful life prediction of lithium-ion batteries
A holistic performance evaluation framework of enterprise product service innovation based on intelligent collaborative
Time-frequency supervised contrastive learning via pseudo-labeling: An unsupervised domain adaptation network for rolling bearing fault diagnosis under time-varying speeds
OmEGa(Ω): Ontology-based information extraction framework for constructing task-centric knowledge graph from manufacturing documents with large language model
A knowledge transfer framework to support rapid process modeling in aerosol jet printing
Evaluation of quality of service provisioning in large-scale pervasive and smart collaborative wireless sensor and actor networks
Artificial intelligence news letter
An efficient 2D-3D fusion method for bridge damage detection under complex backgrounds with imbalanced training data
CPIR: Multimodal Industrial Anomaly Detection via Latent Bridged Cross-modal Prediction and Intra-modal Reconstruction
Quantitative multi-index residual capacities assessment of structural components through deep-learning-based image processing: A proof-of-concept study on masonry walls
Phase-based video vibration measurement and fault feature extraction method for compound faults of rolling bearings
Robust correlation measures for informative frequency band selection in heavy-tailed signals
Towards safe and collaborative aerodrome operations: Assessing shared situational awareness for adverse weather detection with EEG-enabled Bayesian neural networks
A machine learning approach for characterizing soil contamination in the presence of physical site discontinuities and aggregated samples
Geometry-driven development of semi-compliant kinetic asymptotic structures
Performance Evaluation Indicator (PEI): A new paradigm to evaluate the competence of machine learning classifiers in predicting rockmass conditions
BIMQL - An open query language for building information models
A method for the spatiotemporal correlation prediction of the quality of multiple operational processes based on S-GGRU
Product innovation design approach driven by implicit relationship completion via patent knowledge graph
Automated experiential engineering knowledge acquisition through Q&A contextualization and transformation
A verification method for systolic arrays using induction-based theorem provers
An intelligent integrated innovation design method based on flow functional genes coding and digitization
An empirical study of an MR-enhanced kinematic prototyping approach for articulated products
RCVNet: A bird damage identification network for power towers based on fusion of RF images and visual images
Composition of engineering web services with distributed data-flows and computations
Collective intelligence modeling, analysis, and synthesis for innovative engineering decision making
The impact of manufacturing digital supply chain on supply chain disruption risks under uncertain environment - Based on dynamic capability perspective
Exploring technology evolution and transition characteristics of leading countries: A case of fuel cell field
A multi-layer dynamic production scheduling method for manufacturing systems with cloud-edge-end architecture
A feature extension and reconstruction method with incremental learning capabilities under limited samples for intelligent diagnosis
The unbalanced research on digitalization and automation of the building permitting process
Quay crane scheduling in automated container terminal for the trade-off between operation efficiency and energy consumption
A formal mapping-based approach for distributed schedule coordination on projects
Bio-inspired product design system integrating retrieval-augmented question answering and semantic fusion diffusion model
Modelling pressure drop in water treatment
A novel hybrid model for missing deformation data imputation in shield tunneling monitoring data