yusuke1997/dblp-id-title huggingface dataset:
A neural network position independent multiple pattern recogniser
A digital smart product service system and a case study of the mining industry: MSPSS
An overview of contract research at the Turing Institute
Quality assessment of coupled civil engineering applications
Reducing construction quality costs through ontology-based inspection planning
Light-weight residual convolution-based capsule network for EEG emotion recognition
Efficient path-velocity coupled trajectory planning for autonomous vehicles using sparse normal plane constrained trajectories
A refined two-stage fuzzy hybrid decision making support framework for enhancing logistics and manufacturing integration
Multi-material structural topology optimization with decision making of stiffness design criteria
3D arm movement recognition using syntactic pattern recognition
A BOM model transformation method for hierarchical production planning management process of complex products
A multi-objective complex product assembly scheduling problem considering transport time and worker competencies
A knowledge based database system for engineering correlations
A strategy for acquiring customer requirement patterns using laddering technique and ART2 neural network
The push strategy of product design knowledge in cloud environment with the multidimensional hierarchical context and SSA-BPNN model
A novel decomposed fuzzy approach for addressing industry 5.0 challenges in smart-sustainable circular supply chain management
A data-efficient framework for domain-adaptive laser point cloud synthesis in automated fiber placement defect detection
Simulation-based heuristic method for container supply chain network optimization
Smart experience-oriented customer requirement analysis for smart product service system: A novel hesitant fuzzy linguistic cloud DEMATEL method
A skill-based approach towards hybrid assembly
Green container liner slot allocation optimization considering carbon insetting
Knowledge distillation for portfolio management using multi-agent reinforcement learning
Differentiable automatic structural optimization using graph deep learning
Prediction method of impact deformation mode based on multimodal fusion with point cloud sequences: Applied to thin-walled structures
The structure of a physical behaviour description facility
Intelligent partitioning method for free-form grid structure based on generative adversarial networks
Mining building performance data for energy-efficient operation
UNISON framework for user requirement elicitation and classification of smart product-service system
Recognizing people's identity in construction sites with computer vision: A spatial and temporal attention pooling network
Advisory expert system for flexible pavement design
Dual supporting matching for multi-view target association
Terrestrial laser scanning and continuous wavelet transform for controlling surface flatness in construction - A first investigation
A holistic method of complex product development based on a neural network-aided technological evolution system
A product performance rapid simulation approach driven by digital twin data: Part 1. For variable product structures
Modeling of transdisciplinary engineering assets using the design platform approach for improved customization ability
Issues in the performance measurement of constraint-satisfaction techniques
Linking microstructure informatics with characterization knowledge in additively manufactured composites through customized and hybrid vision-language representations for automated qualification
A patent infringement early-warning methodology based on intuitionistic fuzzy sets: A case study of Huawei
Discovery and prediction capabilities in metal-based nanomaterials: An overview of the application of machine learning techniques and some recent advances
Self-adaptive middleware: Supporting business process priorities and service level agreements
Applications of deep knowledge
Intelligent collaborative patent mining using excessive topic generation
Advancements in AI-Driven detection and localisation of solar panel defects
Blackboard architectures in computer aided engineering
Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework
A novel DT-based intelligent experiment method for complex industrial products
A novel CRDT-based synchronization method for real-time collaborative CAD systems
Hybrid NLP-based extraction method to develop a knowledge graph for rock tunnel support design
Knowledge-data driven model for explosion-induced crack identification in high arch dams
A performance-based approach to wheelchair accessible route analysis
Human-centric assembly planning framework for human-robot collaborative systems with efficient reinforcement self-learning multi-objective evolutionary optimizer
Detecting, locating, and characterizing voids in disaster rubble for search and rescue
Graph-based algorithmic design and decision-making framework for district heating and cooling plant positioning and network planning
Energy management strategy for multisource power generation during hypersonic vehicle mode transition based on improved deep deterministic policy gradient
An adaptive high-order singular value decomposition for spatial and temporal monitoring data imputation for tunnel digital twin
Mirror the mind of crew: Maritime risk analysis with explicit cognitive processes in a human digital twin
Parameter inverse analysis of high rockfill dams considering material uncertainty based on the EJaya-SESM model
Evacuation path optimization based on quantum ant colony algorithm
CDARNet: A robust cross-dimensional adaptive region reconstruction network for real-time metal surface defect segmentation
Automated continuous construction progress monitoring using multiple workplace real time 3D scans
Electronic communication systems effects on the success of construction projects in United Arab Emirates
Quantifying geometric deviations in virtual assembly of prefabricated structures with transformer-enhanced point cloud registration
ALGINEER: Algorithmic design of complex systems
Choice of loading clusters in container terminals
Do buyer protection mechanisms help sellers? A model of seller competition in the presence of online reputation systems
A novelty detection patent mining approach for analyzing technological opportunities
A multi-stage approach for desired part grasping under complex backgrounds in human-robot collaborative assembly
Automated system for construction specification review using natural language processing
Formal description and comparison of interactive design strategies
A multidimensional data model design for building energy management
Cross-domain attention transfer network for recommendation
Multi-agent reinforcement learning method for joint optimization of block assignment and yard crane redeployment at river-sea intermodal container terminal
A predictive maintenance system for multi-granularity faults based on AdaBelief-BP neural network and fuzzy decision making
Application of a noisy data classification technique to determine the occurrence of flashover in compartment fires
Learning globally ordered and locally consistent degradation representations for remaining useful life prediction
Superconductivity information extraction from the literature: A new corpus and its evaluations
Component-based records: A novel method to record transaction design work
Hybrid adaptive fault-tolerant control of variable structure non-gaussian stochastic systems with feedback packet loss
UAV imagery based potential safety hazard evaluation for high-speed railroad using Real-time instance segmentation
A multi-population immune plasma algorithm for path planning of unmanned combat aerial vehicle
Research on multi-stage topology optimization method based on latent diffusion model
Hierarchical attention-based framework for enhanced prediction and optimization of organic and inorganic material synthesis
Human-centric proactive design for manufacturing with deep generative modeling in Industry 5.0
Mental workload in worker-drone communication in future construction: Considering coexistence, cooperation, and collaboration interaction levels
Data analysis for metropolitan economic and logistics development
Autonomous component optimization method for steel braced frame structures based on multi-agent and physics-informed deep reinforcement learning
Fault transfer diagnosis of rolling bearings across multiple working conditions via subdomain adaptation and improved vision transformer network
MFSTGCN-AF: Multi-Facet Spatio-Temporal Graph Convolutional Network with Attention Fusion for pavement rutting depth prediction
Toolbox for super-structured and super-structure free multi-disciplinary building spatial design optimisation
A multi-agent double Deep-Q-network based on state machine and event stream for flexible job shop scheduling problem
Joint mining of fluid knowledge and multi-sensor data for gas-water two-phase flow status monitoring and evolution analysis
Robust tool wear prediction under novel operating conditions via physics-guided unsupervised domain adaptation
Intelligent compaction assessment of coarse-grained subgrade using contact-type acoustic wave detection with few-shot learning in complex sound fields
Dual graph driven-consistent representation learning method for semi-supervised fault diagnosis of rotating machinery
YOLO-depth: leveraging depth information for improved instance segmentation in construction scenes
Self-supervised graph feature enhancement and scale attention for mechanical signal node-level representation and diagnosis
Intelligent reconstruction of supersonic combustion flow fields using sparse sensor data and heuristic-guided learning
Application of covering rough granular computing model in collaborative filtering recommendation algorithm optimization
A review of digital twin in product design and development
Efficient visual fault detection for freight train braking system via heterogeneous self distillation in the wild
A two-phase method for compaction path planning and control of the impact roller
Towards large language model for cognitive industrial mixed reality: A survey
Advanced batch monitoring: auto-segmentation of complex processes using slow feature partial least squares
A framework for data-driven informatization of the construction company
Intelligent analysis method of dam material gradation for asphalt-core rock-fill dam based on enhanced Cascade Mask R-CNN and GCNet
A digital twin-based motion forecasting framework for preemptive risk monitoring
Improving process conformance with Industry Foundation Processes (IFP)
Digital twin of buildings and occupants for emergency evacuation: Framework, technologies, applications and trends
Fine-tuning a large language model for automated code compliance of building regulations
Knowledge-based U-Net and transfer learning for automatic boundary segmentation
Hierarchical pseudo-label co-calibration with prototypical decision boundary optimization for mechanical fault diagnosis in label-scarce scenarios
Using patent data for technology forecasting: China RFID patent analysis
Fault dissipated energy based fault coupling modelling and reliability evaluation: A case study on wet motor-pump assembly
Task offloading with enhanced Deep Q-Networks for efficient industrial intelligent video analysis in edge-cloud collaboration
Qualitatively modelling the effects of electrical circuit faults
An ontology-based methodology to establish city information model of digital twin city by merging BIM, GIS and IoT
Deep learning-based rebar detection and instance segmentation in images
Research on optimizing-assembly and optimizing-adjustment technologies of aero-engine fan rotor blades
New roles for machine learning in design
An integrated approach for automatic safety inspection in construction: Domain knowledge with multimodal large language model
A bearing fault extraction method combining time-frequency mode decomposition based on local maxima with amplitude z-scores
Industrial Internet Platform (IIP) enabled Smart Product Lifecycle-Service System (SPLSS) for manufacturing model transformation: From an industrial practice survey
A Social Media framework to support Engineering Design Communication
A Gaussian-guided adversarial adaptation transfer network for rolling bearing fault diagnosis
Physics-informed few-shot learning for wind pressure prediction of low-rise buildings
Design of complex adaptive systems: Introduction
Stacking Deep learning and Machine learning models for short-term energy consumption forecasting
Style synthesis and analysis of car designs for style quantification based on product appearance similarities
Handwritten Indian numerals recognition system using probabilistic neural networks
Dynamic gesture recognition during human-robot interaction in autonomous earthmoving machinery used for construction
Use of design patterns in analogy-based design
GANFormerNet: A UAV-based Concrete Crack Segmentation Model for Water-related Structures Using Vision Transformer and Graph Attention Network
Systematic selection of field response measurements for excavation back analysis
Virus coevolution partheno-genetic algorithms for optimal sensor placement
AMUN-autonomic middleware for ubiquitous environments applied to the smart doorplate project
Anomalous load profile detection in power systems using wavelet transform and robust regression
Interactive visualisation: A support for system identification
Adaptive spatial-model-based predictive control for complex distributed parameter systems
Integrated parametric multi-level information and numerical modelling of mechanised tunnelling projects
PIAN: A physics-informed assimilation neural network for temporal super-resolution reconstruction of sensor data in satellite attitude control system
SMFPS: A semi-supervised multi-modal fusion method for RGBD particle segmentation of industrial materials
Deep concept identification for generative design
Predictive maintenance using cox proportional hazard deep learning
An object-based representation for the evolution of VLSI designs
3D reconstruction by looking: Instantaneous blind spot detection for indoor SLAM through mixed reality
Incremental modelling of ambiguous geometric ideas (I-MAGI): representation and maintenance of vague geometry
SRS: Spatial-tagged radio-mapping system combining LiDAR and mobile-phone data for indoor location-based services
A novel method for signal labeling and precise location in a variable parameter milling process based on the stacked-BiLSTM-CRF and FLOSS
A Voxel-Based 3D reconstruction and action recognition method for construction workers
SR-FABNet: Super-Resolution branch guided Fourier attention detection network for efficient optical inspection of nanoscale wafer defects
Fault diagnosis of high-speed train suspension systems under variable speeds based on dynamic transfer loss weight-deep subdomain adaptation network
A connecting rod assembly deformation cognition method based on quality characteristics probability network
A novel method for intersecting machining feature segmentation via deep reinforcement learning
Digital twin-driven assembly accuracy prediction method for high performance precision assembly of complex products
Recovery planning of industrial robots based on semantic information of failures and time-dependent utility
Vision-based action recognition of construction workers using dense trajectories
A functional feature modeling method
A target-oriented DEA model for regional construction productive efficiency improvement in China
A proximity-based method for locating RFID tagged objects
Parallel framework for intelligent prediction of multi-site fugitive dust: Combined with DustLSTM-Trans and FedProx-Dyn
ULYSSES - a knowledge-based VLSI design environment
Feature extraction and health status prediction in PV systems
A function-based computational method for design concept evaluation
Corrigendum to "Complex flow simulation in natural aquifer" [Adv. Eng. Inform. 23 (2009) 288-293]: An algorithm for parallel flow simulations in the finite element framework
An object detection algorithm combining semantic and geometric information of the 3D point cloud
Multi-source decision-making information fusion framework for evaluating coexisting-cooperative-cognitive capabilities of collaborative robots using text clustering and combination weighting
Trend detection based on a fuzzy temporal profile model
Collaborative strategic conflict management for 4D trajectories under weather forecast uncertainty
PA-WSDIS: A prior-aware weakly supervised defect instance segmentation model for car body surface
An imperative language for task-level planning: Definition in temporal logic
Machine identification of potential manufacturing process failure modes based on process constituent elements
A novel AI-driven EEG images emotion recognition generalized classification model for cross-subject analysis
LLMs driven fusion AI-AD system for mechanical design: From understanding to generation
Assessment and weighting of meteorological ensemble forecast members based on supervised machine learning with application to runoff simulations and flood warning
CE-FFGAN: A feature fusion generative adversarial network with deep embedded category information for limited sample fault diagnosis of rotating machinery under speed variation
A system modeling and optimization method for value co-creation based on Lagrangian-Eulerian hybrid method
Multi-source data analytics for AM energy consumption prediction
A dynamically balanced wavelet coefficient matching transient energy operator for state identification of rotating machinery
A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery
Online site visits using virtual collaborative spaces: A plan-reading activity on a digital building site
From optimization to network: A low-rank and sparse-aware deep unfolding framework for infrared small target detection
Failure modes and effects analysis of complex engineering systems using functional models
An improved elitist-Q-Learning path planning strategy for VTOL air-ground vehicle using convolutional neural network mode prediction
Multitask evolution with problem reformulation for global exploration in analog circuit design
Multi-source information fusion for dynamic safety risk prediction of aerial building machine using spatial-temporal multi-graph convolution network
Bridge substructure damage morphology identification based on the underwater sonar point cloud data
An adaptive AR guidance interface layout optimization approach for human-centered assembly training systems
Dual-band interactive convolution and frequency-prior adaptive channel attention network for tool wear prediction
Development and validation of a confined space rescue training prototype based on an immersive virtual reality serious game
Optimal Sensor Placement for heat transfer digital twin with Denoising Autoencoder and discrete optimization
The IFC-based path planning for 3D indoor spaces
How to mine the abnormal information of power transformers: An efficient tool for quantifying the fault characteristics via multi-vibration signals
An object-oriented framework for simulation-based green building design optimization with genetic algorithms
Collaborative and concurrent engineering in the construction industry
Spatial Link Prediction: Learning topological relationships in MEP systems
High-quality as-is 3D thermal modeling in MEP systems using a deep convolutional network
Optimization to identify the adapted product design and product adaptation process with initial evaluation of information quality in branches of AND-OR tree based on information entropy
A novel inverse data driven modelling approach to performance-based building design during early stages
Multi-condition dam crack segmentation based on a novel lightweight CEE-YOLO model
Recognition of process patterns for BIM-based construction schedules
The influence of context effects on exit choice behavior during building evacuation combining virtual reality and discrete choice modeling
SparseDet: Towards efficient multi-view 3D object detection via sparse scene representation
Automated conversion and semantic gap filling of material layer annotations from CAD drawings to semantically rich BIM objects
FineMLD: A fine-grained motion latent diffusion for human motion prediction in Human-robot Collaboration
Building a project ontology with extreme collaboration and virtual design and construction
Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning demonstrated by energy-efficient building design
Synchronous collaborative tunnel design based on consistency-preserving multi-scale models
Estimation of aircraft component production cost using knowledge based engineering techniques
Non-invasive embedded system hardware/firmware anomaly detection based on the electric current signature
Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks
Decision-making support for sustainable product creation
Reinforcement learning for evaluating school safety designs in active shooter incidents
Matching computational strategies to task complexity and user requirements
A neurophysiological approach to assess training outcome under stress: A virtual reality experiment of industrial shutdown maintenance using Functional Near-Infrared Spectroscopy (fNIRS)
Robust normal estimation and region growing segmentation of infrastructure 3D point cloud models
Multimetric hypergraph embedding for dimensionality reduction in rotor fault diagnosis
Quantitative evaluation of crowd intelligence innovation system health: An ecosystem perspective
LGGFormer: A dual-branch local-guided global self-attention network for surface defect segmentation
Hybrid data-driven vigilance model in traffic control center using eye-tracking data and context data
Advanced computing for the built environment
Data-driven learning-based Model Predictive Control for energy-intensive systems
Implicit rule-based fuzzy-neural networks using the identification algorithm of GA hybrid scheme based on information granulation
On-line transfer learning for multi-fidelity data fusion with ensemble of deep neural networks
Research on intelligent assembly method of aero-engine multi-stage rotors based on SVM and variable-step AFSA-BP neural network
Mobile robot fuzzy control optimization using genetic algorithm
A personalized recommendation method under the cloud platform based on users' long-term preferences and instant interests
An automatic generation approach of process model based on feature knowledge and geometric modeling
Feature-based modeling for variable fractal geometry design integrated into CAD system
Toward construction-specialized, small language models: The interplay of domain adaptation, model scale and data volume
Using A-Teams to optimize automatic insertion of electronic components
ONTO-PDM: Product-driven ONTOlogy for Product Data Management interoperability within manufacturing process environment
Sigmoid informed fuzzy entropy as a health indicator for continuous health monitoring of rolling bearing
A survey of modeling for prognosis and health management of industrial equipment
An accurate and resource-efficient network for surface anomaly detection via enhanced downsampling and activation representation
Review visual attention and spatial memory in building inspection: Toward a cognition-driven information system
CPS-enabled and knowledge-aided demand response strategy for sustainable manufacturing
Parametric as-built model generation of complex shapes from point clouds
BIM-based task-level planning for robotic brick assembly through image-based 3D modeling
Human-centric design personalization of 3D glasses frame in markerless augmented reality
Implementation path and reference model for Multilateral Data Circulation System (MDCS) in Datacentric Product-Service System (DPSS): from an industrial practice survey
Application of clustering for the development of retrofit strategies for large building stocks
Vision-guided path planning and joint configuration optimization for robot grinding of spatial surface weld beads via point cloud