yusuke1997/dblp-id-title huggingface dataset:
An effective process design intent inference method of process data via integrating deep learning and grammar parsing
CLAF: Solving intention violation of step-wise operations in CAD groupware
Human-centered flood mapping and intelligent routing through augmenting flood gauge data with crowdsourced street photos
A BIM-based visualization and warning system for fire rescue
Ontology-based knowledge representation for industrial megaprojects analytics using linked data and the semantic web
Intelligent assembly modeling of complex product based on cognition of interaction structures
Enrichment of building energy models using error domain constrained generative machine learning
An efficient 3D object detection method based on Fast Guided Anchor Stereo RCNN
NSM-planner: neuromorphic planner with spiking memory for underwater autonomous obstacle avoidance decision of AUV
A flight-procedure generation framework based on an RRT* path planning algorithm
Risk assessment of China-Pakistan Fiber Optic Project (CPFOP) in the light of Multi-Criteria Decision Making (MCDM)
A multimodal data sensing and feature learning-based self-adaptive hybrid approach for machining quality prediction
Entity alignment method for aeronautical metrology domain based on multi-perspective entity embedding
Assessment of a Product Range Model concept to support design reuse using rule based systems and case based reasoning
Multi-class US traffic signs 3D recognition and localization via image-based point cloud model using color candidate extraction and texture-based recognition
Feature-based domain disentanglement and randomization: A generalized framework for rail surface defect segmentation in unseen scenarios
A constraint programming language for Life-Cycle Engineering
Ultra-wideband non-line-of-sight identification for heavy lifting localization in modular construction
Semantic relation based personalized ranking approach for engineering document retrieval
Optimal design of multi-type component allocation system with shared positions
DSACNN: Dynamically local self-attention CNN for 3D point cloud analysis
Modelling of coagulant dosage in a water treatment plant
Facilitating design learning through faceted classification of in-service information
Onset detection of ultrasonic signals for the testing of concrete foundation piles by coupled continuous wavelet transform and machine learning algorithms
A comprehensive mathematical model for quality integration in a project supply chain with concentrating on material flow and transportation
Physics-informed neural network for load sway prediction in travelling autonomous mobile cranes
Stakeholder-oriented systematic design methodology for prognostic and health management system: Stakeholder expectation definition
A new convolutional dual-channel Transformer network with time window concatenation for remaining useful life prediction of rolling bearings
Enriching standards-based digital thread by fusing as-designed and as-inspected data using knowledge graphs
A concise introduction to autonomic computing
Automatic clustering method for real-time construction simulation
A hayekian self-organization approach to service allocation in computing systems
Zero-shot surface defect recognition with class knowledge graph
Prefabricated beam-slab structure optimization based on multi-layer graphical representation and genetic-RAO algorithm
Kenneth Preiss. In memoriam
Enabling human-machine collaboration in infrastructure inspections through mixed reality
An information value based approach to design procedure capture
An interactive system for 3D spatial relationship query by integrating tree-based element indexing and LLM-based agent
A pruned-optimized weighted graph convolutional network for axial flow pump fault diagnosis with hydrophone signals
Editorial on 3rd ICCBEI 2017
A three-stage framework for introducing a 4D tool in large consulting firms
Developing final as-built BIM model management system for owners during project closeout: A case study
Order-of-magnitude reasoning with O[M]
LIO-BIM - Coupling lidar inertial odometry with building information modeling for robot localization and mapping
A two-phase approach to mine short-period high-utility itemsets in transactional databases
System construction for comprehensive industrial ecosystem oriented networked collaborative manufacturing platform (NCMP) based on three chains
Enhancing semantic segmentation of MEP scenes with deep learning and BIM-generated synthetic point clouds
Pseudo-label guided dual classifier domain adversarial network for unsupervised cross-domain fault diagnosis with small samples
Human-in-the-loop optimization for vehicle body lightweight design
Semantic scan planning for indoor structural elements of buildings
Trust-based consensus reaching process for product design decision-making with heterogeneous information
Automated design studies: Topology versus One-Step Evolutionary Structural Optimisation
An advanced AI-based lightweight two-stage underwater structural damage detection model
A contrastive cluster zero-shot model for cross-type fault diagnosis of bearings
Optimising predictive accuracy in sheet metal stamping with advanced machine learning: A LightGBM and neural network ensemble approach
A novel uncertainty-aware point cloud approach for geometric quality monitoring in construction
Learning and classifying actions of construction workers and equipment using Bag-of-Video-Feature-Words and Bayesian network models
A multi-task network for occluded meter reading with synthetic data generation technology
A generative design technique for exploring shape variations
A meta-level evolutionary strategy for many-criteria design: Application to improving tracking filters
A grey wolf optimization algorithm for solving partial destructive disassembly line balancing problem consider feasibility evaluation and noise pollution
Reasoning about the kinematics of mechanical devices
A two-stage anomaly detection framework: Towards low omission rate in industrial vision applications
The generation of hierarchic structures via robust 3D topology optimisation
Deep learning driven real time topology optimisation based on initial stress learning
Product redesign using functional backtrack with digital twin
A privacy-preserving and unobtrusive sitting posture recognition system via pressure array sensor and infrared array sensor for office workers
Automatic design for shop scheduling strategies based on hyper-heuristics: A systematic review
Digital twins-based flexible operating of open architecture production line for individualized manufacturing
Difference identification of 3D CAD models based on key-point matching oriented to engineering change management
Use it early: The effect of immersion on spatial and design space aspects in team-based mechanical design reviews
CAIRO: a concurrent engineering meeting environment for virtual design teams
BIM reconstruction from 3D point clouds: A semantic registration approach based on multimodal optimization and architectural design knowledge
Towards reliable robot packing system based on deep reinforcement learning
Automated computation of the fundamental matrix for vision based construction site applications
Multiscale semantic segmentation and damage assessment of village houses in post-flood scenarios using an enhanced DeepLabv3 with dual attention mechanism
A review of digital twin capabilities, technologies, and applications based on the maturity model
Semantic Web Rule Language-based approach for implementing Knowledge-Based Engineering systems
3D keypoint detection-based automated rebar spacing inspection: Application for robotic integration
Logistics service provider selection decision making for healthcare industry based on a novel weighted density-based hierarchical clustering
Dynamic shading of a building envelope based on rotating polarized film system controlled by one-dimensional cellular automata in regular tessellations (triangular, square and hexagonal)
Multi-agent coordination of data-driven and physics-based models for automated design of ultra-high-performance concrete beams
A novel deep denoising model integrating transformer and time-frequency loss for gearbox fault diagnosis
An ontology to represent geospatial data to support building renovation
From anomaly detection to classification with graph attention and transformer for multivariate time series
Developing intelligent tensegrity structures with stochastic search
Robust sensor placement for pipeline monitoring: Mixed integer and greedy optimization
Interactive engineering systems design: A study for artificial intelligence applications
Development of a synthetic dataset generation method for deep learning of real urban landscapes using a 3D model of a non-existing realistic city
Multi-mission multi-UAVs smooth path planning utilizing a sub-optimal solutions based hybrid multi-objective differential evolutionary algorithm
Processing of Topological BIM Queries using Boundary Representation Based Methods
A Quality 4.0 Model for architecting industry 4.0 systems
Comparative evaluation of Received Signal-Strength Index (RSSI) based indoor localization techniques for construction jobsites
Knowledge representation framework for interactive capture and management of reflection process in product concepts development
Development of acoustic denoising learning network for communication enhancement in construction sites
Capsule network-based semantic segmentation model for thermal anomaly identification on building envelopes
Methodology for time-dependent prediction of chloride diffusion in marine concrete structures using integrated Machine learning and global sensitivity analysis
Augmenting general-purpose large-language models with domain-specific multimodal knowledge graph for question-answering in construction project management
Dynamic rolling strategy for multi-vessel quay crane scheduling
An ISM, DEI, and ANP based approach for product family development
Graph neural network-based method for classifying continuous lines in piping and instrumentation diagram
A reinforcement learning and H∞ hybrid control framework for 0-500 Hz full-band vibration suppression in active suspension systems
A novel method for leakage monitoring in Network-Level urban medium- and Low-Pressure natural gas pipelines combining information theory and Light Gradient Boosting
An integrated consensus reaching process for product appearance design decision-making: Combining trust and empathy relationships
Tinba: Incremental partitioning for efficient trajectory analytics
Modular modelling of an evaporator for long-range prediction
A computational framework for retrieval of document fragments based on decomposition schemes in engineering information management
Artificial intelligence-enabled digital transformation in elderly healthcare field: Scoping review
Developing YOLOv5s model with enhancement mechanisms for precision parts with irregular shapes
Zero-shot fault diagnosis using soft semantic embedding of diffusion-encoded probability
Kansei engineering for the intelligent connected vehicle functions: An online and offline data mining approach
A model of aesthetic judgment in design
A privacy-preserving federated transfer learning with ship mapping (FTL-SM) framework for accurate ship energy efficiency prediction
Intelligent trademark similarity analysis of image, spelling, and phonetic features using machine learning methodologies
Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach
Integrating visual-SLAM and multi-view panoramas for efficient indoor 3D layout reconstruction in building projects
Elevator priority scheduling with deep learning based image analytics for people with special needs
A variable fidelity information fusion method based on radial basis function
Collision detection between point clouds using an efficient k-d tree implementation
Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in construction
Prediction of seam tracking errors in the intelligent welding system: A rapid prediction method based on real-time monitoring data
Size children's eyeglasses: An assembly-guided and comfort-oriented optimization approach based on 3D statistical ophthalmic modeling
Integrative human and object aware online progress observation for human-centric augmented reality assembly
A new adaptive representation dual classifier residual network for continuous fault diagnosis of rotating machinery with domain increments
Adaptability analysis of design for additive manufacturing by using fuzzy Bayesian network approach
Guess your size: A hybrid model for footwear size recommendation
Corrigendum to "Intelligent collaborative patent mining using excessive topic generation" [Adv. Eng. Inf. 42 (2019) 100955]
A high performance hybrid SSVEP based BCI speller system
Living labs as an opportunity for experiential learning in building engineering education
Automated thermal 3D reconstruction based on a robot equipped with uncalibrated infrared stereovision cameras
Q-learning-driven exact and meta-heuristic algorithms for the robust gate assignment problem
An expert knowledge-empowered CNN approach for welding radiographic image recognition
Bayesian cooperative probabilistic Transformer for remaining useful life prediction with uncertainty estimation in industrial equipment
Knowledge management of product design: A requirements-oriented knowledge management framework based on Kansei engineering and knowledge map
Probabilistic inference with maximum entropy for prediction of flashover in single compartment fire
Multi-agent robot systems as distributed autonomous systems
A virtual speller system using SSVEP and electrooculogram
Retrieval augmented generation-driven information retrieval and question answering in construction management
Graph-based learning for automated code checking - Exploring the application of graph neural networks for design review
Automatic diagnosis with genetic algorithms and case-based reasoning
A cost-efficiency analysis of drones in revolutionizing intra-city express services
BIGaze: An eye-gaze action-guided Bayesian information gain framework for information exploration
Space layout planning using an evolutionary approach
Secondary crash mitigation controller after rear-end collisions using reinforcement learning
Automatic measurement system for aircraft rivet flushness on surfaces empowered by multi-modal large-scale models
GazeGraphVis: Visual analytics of gaze behaviors at multiple graph levels for path tracing tasks
Detecting anomalies and de-noising monitoring data from sensors: A smart data approach
CSNF-TimeGAN: Class-prior spatiotemporal nonlinear feature-based time series generative adversarial network for blast furnace fault diagnosis
Generation of operation sequences for accident restoration of primary substations based on a re-usable knowledge base
Domain-collaborative multimodal transformer for fault diagnosis of rotating machines under noisy environments
Generating synthetic data with variational autoencoder to address class imbalance of graph attention network prediction model for construction management
From BIM to Web3: A critical interpretive synthesis of present and emerging data management approaches in construction informatics
An approach for cross-data querying and spatial reasoning of tunnel alignments
Contrastive and transfer learning-based visual small component inspection in assembly
An integrated emotional and physiological assessment for VR-based active shooter incident experiments
A reinforcement learning framework integrating long-term safety reward and adjustable driving preferences for autonomous driving
A neural network approach for selection of powder metallurgy materials and process parameters
A route and speed optimization model to find conflict-free routes for automated guided vehicles in large warehouses based on quick response code technology
Human cognition in manual assembly: Theories and applications
Intelligent fault diagnosis for rolling bearings based on graph shift regularization with directed graphs
ARIMA-AdaBoost hybrid approach for product quality prediction in advanced transformer manufacturing
Simulating both dynamic and kinematic behaviors of mechanical mechanisms
Adaptive multi-mode switching strategy for the spherical underwater robot with hybrid thrusters
Fault detection and diagnosis using statistical control charts and artificial neural networks
An improved SIFT-based method for non-contact bridge displacement measurement
A meta-planning model for diminishing resource problems
Deterministic and probabilistic ship pitch prediction using a multi-predictor integration model based on hybrid data preprocessing, reinforcement learning and improved QRNN
Improving lifting motion planning and re-planning of cranes with consideration for safety and efficiency
Distress classification of class-imbalanced inspection data via correlation-maximizing weighted extreme learning machine
Interpretable modulated differentiable STFT and physics-informed balanced spectrum metric for freight train wheelset bearing cross-machine transfer fault diagnosis under speed fluctuations
Integrating explainable AI and depth cameras to achieve automation in grasping Operations: A case study of shoe company
Segmentation refinement of thin cracks with Minimum Strip Cuts
Autonomic communications and the reflex unified fault management architecture
Learning from demonstration for autonomous generation of robotic trajectory: Status quo and forward-looking overview
A Copula network deconvolution-based direct correlation disentangling framework for explainable fault detection in semiconductor wafer fabrication
An application study of a DynGraph-TF-Based EEG recognition framework for predicting mental fatigue in train drivers
Assessing dynamic congestion risks of flood-disrupted transportation network systems through time-variant topological analysis and traffic demand dynamics
Systems for sustainability and transparency of food supply chains - Current status and challenges
Large models for intelligent transportation systems and autonomous vehicles: A survey
A simulation optimization method for internal trucks sharing assignment among multiple container terminals
Maximum average impulse energy ratio deconvolution and its application for periodic fault impulses enhancement of rolling bearing
A directed failure causality network (DFCN) based method for function components risk prioritization under interval type-2 fuzzy environment
A research on intelligent fault diagnosis of wind turbines based on ontology and FMECA
Data-model interaction-driven transferable graph learning method for weak-shot onsite FTU health condition assessment
LocoMamba: Vision-driven locomotion via end-to-end deep reinforcement learning with Mamba
Spectrum-guided GAN with density-directionality sampling: Diverse high-fidelity signal generation for fault diagnosis of rotating machinery
Selecting a semantic similarity measure for concepts in two different CAD model data ontologies
A vision-based statistical methodology for automatically modeling continuous urban traffic flows
A hybrid model of bald eagle search and relevance vector machine for dam safety monitoring using long-term temperature
Auxiliary-feature-embedded causality-inspired dynamic penalty networks for open-set domain generalization diagnosis scenario
Domain knowledge guided pseudo-label generation framework for semi-supervised domain generalization fault diagnosis
Cognitive load assessment of active back-support exoskeletons in construction: A case study on construction framing
Intra-inter modality learning for copper electrolysis short circuit detection
Digital twin-based smart shop-floor management and control: A review
Incremental development of CBR strategies for computing project cost probabilities
Failure mode and effect analysis with ORESTE method under large group probabilistic free double hierarchy hesitant linguistic environment
A novel hierarchical attention-guided refinement method with EEG assistance for enhancing target speech in a multi-speaker competing environment
A collaborative design platform for new alloy material development
A group experts-LLMs collaborative decision making method to improve reliability in FMEA risk evaluation
Teaching generative construction scheduling: Proposed curriculum design and analysis of student learning for the Tri-Constraint Method
Causes to clauses: Managing assumptions in qualitative medical diagnosis
Discovering interpretable blast Loading equations from Black-Box Machine learning models
Top-Rem grinding tool modification considering loaded edge contact for spiral bevel gears
Improving local training in federated learning via temperature scaling
Special Issue: Evolvability of complex systems
Intelligent decision-making model in preventive maintenance of asphalt pavement based on PSO-GRU neural network
A framework for process states structural interpretation of zero-defect manufacturing
Operational issues of sequencing with elastic nets
QPE: Using assumption-based truth maintenance for qualitative simulation
Time-frequency fully-connected graph neural network: An effective multiscale spatiotemporal dependency learning method for multisource machine fault diagnosis
Unsupervised extraction of patterns and trends within highway systems condition attributes data
Ecological network evolution analysis in collective intelligence design ecosystem
Lot-sizing decisions for material requirements planning with hybrid uncertainties in a smart factory
SONIA: A knowledge-based scheduling system
Fatigue delamination shape prognostics in composites using numerical simulation-assisted transfer learning
Optimizing process parameters of in-situ laser assisted cutting of glass-ceramic by applying hybrid machine learning models
A review of 3D reconstruction techniques in civil engineering and their applications
Vagueness visualization in building models across different design stages
ALDRAW: Algorithmic engineering representations
Generalizable dynamics modeling of serial robotic manipulators via a Lagrangian dynamics neural network with mechanism priors
Interpretable AI-driven framework for sustainable modification of dredged sludge: A knowledge-guided approach to industrial waste-geopolymer binders design for in situ and ex situ applications
Artificial intelligence in engineering: Personal reflections
A Large language model-based multi-agent manufacturing system for intelligent shopfloors
An IIoT-driven and AI-enabled framework for smart manufacturing system based on three-terminal collaborative platform
A multi-objective optimal collaborative gas flow regulation method for non-stationary ventilation network based on improved NSGA-Ⅲ algorithm
A model-driven approach to multidisciplinary collaborative simulation for virtual product development
A multi-stage active learning framework with an instance-based sample selection algorithm for steel surface defect
A customer-centric IoT-based novel closed-loop supply chain model for WEEE management
Remaining useful life estimation based on selective ensemble of deep neural networks with diversity
Self-corrective knowledge-based hybrid tracking system using BIM and multimodal sensors
Research issues on product lifecycle management and information tracking using smart embedded systems
Supporting the design process with hypergraph genetic operators
A statistically based fault detection and diagnosis approach for non-residential building water distribution systems
FLSSnet: Few labeled samples segmentation network for coated fuel particle segmentation
Reconstruction method of aircraft wing stress field under limited measurement points via multi-source heterogeneous information fusion
Concise belief rule base with credibility decay for system performance prediction
QERLO: An intelligent Quantum-Enhanced Reinforcement Learning framework for task Offloading in IoT networks
A deep feature enhanced reinforcement learning method for rolling bearing fault diagnosis
Qwen-AEC: Instruction-tuning large language models for high-performance building code analysis