yusuke1997/dblp-id-title huggingface dataset:
Supporting connectivism in knowledge based engineering with graph theory, filtering techniques and model quality assurance
Collaborative 3D object detection by smart vehicles considering semantic information and agent heterogeneity
CLOI-NET: Class segmentation of industrial facilities' point cloud datasets
Mutual stacked autoencoder for unsupervised fault detection under complex multi-residual correlations
Critical challenges and advances in vibration signal processing for non-stationary condition monitoring
Using stepwise backward elimination to specify terms related to tactile sense for product design
The intelligent approach to register-transfer level synthesis
DualDomain-AttenNet: Synergizing time-frequency analysis and attention mechanisms for Motor Imagery BCI enhancement
An enhanced artificial hummingbird algorithm and its application in truss topology engineering optimization
Semantic BMS: Allowing usage of building automation data in facility benchmarking
Scalable probabilistic deterioration model based on visual inspections and structural attributes from large networks of bridges
Integrated modeling for retired mechanical product genes in remanufacturing: A knowledge graph-based approach
Partner or subordinate? Heterogeneous effects of crane operator workload and collision risk under a binary HMI paradigm
Aspects of constraint processing
KPCA digital twin-enhanced real-time fault-tolerant control for autonomous vehicles
Automated clash resolution for reinforcement steel design in precast concrete wall panels via generative adversarial network and reinforcement learning
A nonlinear dynamics method using multi-sensor signal fusion for fault diagnosis of rotating machinery
A general mobile manipulator automation framework for flexible tasks in controlled environments
Understanding design fundamentals: how synthesis and analysis drive creativity, resulting in emergence
A framework and method for Human-Robot cooperative safe control based on digital twin
Interpretable and spatio-distributed settlement related multimode process monitoring for Metro tunnels excavated by TBM
Lexicon-based content analysis of BIM logs for diverse BIM log mining use cases
HFCH: Hybrid frontier guided fast UAV autonomous exploration for complete and high-quality mapping in unknown environment
The benefit of noise-injection for dynamic gray-box model creation
The introduction of a design heuristics extraction method
Enabling the development of base domain ontology through extraction of knowledge from engineering domain handbooks
Bounded optimization of resource allocation among multiple agents using an organizational decision model
Predictive modeling: BIM command recommendation based on large-scale usage logs
A novel method for settlement imputation and monitoring of earth-rockfill dams subjected to large-scale missing data
Human-robot collaborative disassembly enabled by brainwaves and improved generative adversarial network
Uncertainty reports as explainable AI: A cognitive-adaptive framework for human-AI decision systems in context tasks
Smart product-service systems in interoperable logistics: Design and implementation prospects
Contexts Matter: Robot-Aware 3D human motion prediction for Agentic AI-empowered Human-Robot collaboration
Fault diagnosis for ball screws in industrial robots under variable and inaccessible working conditions with non-vibration signals
Automated monitoring of multi-target deformation under varying depth of field using visual segmentation and deblurring
Intelligent design of shear wall layout based on graph neural networks
A novel multi-exposure fusion-induced stripe inpainting method for blade reflection-encoded images
Function-directed electrical design analysis
Strategic information revelation in collaborative design
Exploration and evaluation of AR, MPCA and KL anomaly detection techniques to embankment dam piezometer data
Pre-training enhanced unsupervised contrastive domain adaptation for industrial equipment remaining useful life prediction
Dynamic production bottleneck prediction using a data-driven method in discrete manufacturing system
Interception well digital twin for early warning of combined sewer overflows
Denoising autoencoder multilayer perceptron spiking neural network for isonicotinic acid yield prediction on real industrial dataset
FF-BERT: A BERT-based ensemble for automated classification of web-based text on flash flood events
Domain adaptive person re-identification via homogeneous hierarchical progressive adaptation and multi-view consistency
VKCNN: An interpretable variational kernel convolutional neural network for rolling bearing fault diagnosis
Dynamic lifting hazard-zone warning system incorporating multi-paradigm vision
FMANet: Fused mamba attention model with multi-type preprocessing for simulated crack-contaminated complex environments
VR-based evaluation of fog-adaptive tunnel lighting and navigation aids on collision risk mitigation
Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm
Reference tag supported RFID tracking using robust support vector regression and Kalman filter
A systematic knowledge-based method for design of transformable product
Engineering informatics in port operations and logistics
A representation language for mechanical behavior
Digital twin-driven deep reinforcement learning for adaptive task allocation in robotic construction
A novel machine-vision-based algorithm for quantifying surface fouling of railway ballast beds
A data-driven approach to solving the container relocation problem with uncertainties
Dense laser stripes stereo matching with spatial-temporal constraints for 3D measurement
Uncertainty quantification of aerosol jet 3D printing process using non-intrusive polynomial chaos and stochastic collocation
Component-ontological representation of function for reasoning about devices
Design recommendations for voluntary blink interactions based on pressure sensors
A multi-disjunctive-graph model-based memetic algorithm for the distributed job shop scheduling problem
Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis
A genuine smile is indeed in the eyes - The computer aided non-invasive analysis of the exact weight distribution of human smiles across the face
An aircraft assembly process formalism and verification method based on semantic modeling and MBSE
Towards automated appliance recognition using an EMF sensor in NILM platforms
A Building Information Model enabled Multiple Traveling Salesman Problem for building interior patrols
A hybrid sensor fault detection and diagnosis method for air-handling unit based on multivariate analysis merged with deep learning
Robust night flow analysis in water distribution networks: A BiLSTM deep autoencoder approach
Collaborative scheduling of handling equipment in automated container terminals with limited AGV-mates considering energy consumption
Feature-based intelligent system for steam simulation using computational fluid dynamics
Edge-to-cloud computing and intelligence for IoT-based Structural Health Monitoring: A comprehensive review
Discrete-time prescribed performance control with switchable structure: Experimental validation in a system with unknown dynamics and constraints
Multi-Task Feature Decoupling Network with clear division of labor for vehicle component detection
Spatially embedded transformer: A point cloud deep learning model for aero-engine coaxiality prediction based on virtual measurement
CFD-guided memory-enhanced LSTM predicts leeward flow of railway windproof structures
Adaptive reconstruction of bone geometry from serial cross-sections
Using ontology-based text classification to assist Job Hazard Analysis
Democracy in pattern classifications: combinations of votes from various pattern classifiers
Multimodal feature cooperative refinement for few-shot anomaly detection
Ergonomic assessment of office worker postures using 3D automated joint angle assessment
Prediction of product design decision Making: An investigation of eye movements and EEG features
Integration of dynamic knowledge and LLM for adaptive human-robot collaborative assembly solution generation
Achieving Knowledge-as-a-Service in IIoT-driven smart manufacturing: A crowdsourcing-based continuous enrichment method for Industrial Knowledge Graph
Real-time multi-object detection model for cracks and deformations based on deep learning
Bayesian physics-informed neural networks with iterative ensemble Kalman inversion for RUL prediction and uncertainty quantification
Data mining techniques for improving the reliability of system identification
A knowledge support approach for the preliminary design of platform-based products in Engineering-To-Order manufacturing
Survey on mechatronic engineering: A focus on design methods and product models
Comprehensive understanding of multilateral data circulation: An innovative collaboration model
A novel construction cost prediction model using hybrid natural and light gradient boosting
Gaze-guided activity recognition for task-specific personal protective equipment compliance monitoring in hot work: An ontology-computer vision approach
Asynchronous multi-agent based differential evolution for assembly hybrid differentiation flowshop scheduling with variable sub-lot and limited buffer
Special Section on RFID applications in engineering
Instance selection-based dissimilar weldment design prediction for resistant spot welding
A rule-based control method for a multi-loop production system
MSASW: Multi-view scale-aware pedestrian detection with shared-weight supervision
Morphology agnostic gesture mapping for intuitive teleoperation of construction robots
Unsupervised constrained discord detection in IoT-based online crane monitoring
INTERVALES: INTERactive Virtual and Augmented framework for industriaL Environment and Scenarios
Simultaneous in-situ calibration for physical and virtual sensors towards digital twin-enabled building operations
Building information modeling and building performance simulation interoperability: State-of-the-art and trends in current literature
A formal ontology-based spatiotemporal mereotopology for integrated product design and assembly sequence planning
Fuzzy compatibility structures in new product development
Frames, quantification, perspectives, and negotiation in constraint networks for life-cycle engineering
Special issue on EG-ICE 2016
HASPFormer: Advancing multivariate time-series forecasting with self-attention and stochastic pooling
Biosignal measurement for human-robot collaboration in construction: A systematic review
Constrained factorised dilated temporal convolutional networks for process gases management in steel manufacturing
Automated BIM data validation integrating open-standard schema with visual programming language
A comprehensive multi-stage decision-making model for supplier selection and order allocation approach in the digital economy
Physics-informed self-supervised learning for tool wear monitoring leveraging signal and degradation features under limited labels
Imbalanced class incremental learning system: A task incremental diagnosis method for imbalanced industrial streaming data
Integration of multiple knowledge representation for classification problems
A hybrid data-physics framework with conformal GNN for enhanced damage identification
A new perspective on non-ferrous metal price forecasting: An interpretable two-stage ensemble learning-based interval-valued forecasting system
Large engineering knowledge bases
A cooperative universal data model platform for the data-centric electronic system-level design
Multivariate failure prognosis of cutting tools under heterogeneous operating conditions
Towards a customizable immersive virtual reality serious game for earthquake emergency training
The Augmented Perception: An emerging approach towards resilient manufacturing systems involving robotic agents and digital twin
Localization of RFID-equipped assets during the operation phase of facilities
Attention mechanism and multi-scale optimization-based image segmentation model in intelligent driving by transformer-DeepLabV3+
Influence of design interaction modes on conceptual design behavior and inter-brain synchrony in designer teams: A fNIRS hyperscanning study
A model for iterative construction of conflict flow networks based on extensible conduction transformation
Considering integrated information on environmental features and neighborhood deformation: A missing value filling framework for arch dam deformation sequence
Disassembly sequence planning of equipment decommissioning for industry 5.0: Prospects and Retrospects
Smart robotic mobile fulfillment system with dynamic conflict-free strategies considering cyber-physical integration
Informatics for cognitive robots
Intelligent proximal-policy-optimization-based decision-making system for humanoid robots
Three-dimensional task allocation for smart transportation in spatial crowdsourcing: An intelligent role division approach
A distributed data collection and management framework for tracking construction operations
Storage yard management based on flexible yard template in container terminal
A multi-agent methodology for multi-level modeling of mechatronic systems
Recognizing patterns in information retrieval: a memory-based classifier for inferring relevancy
Communicating behavior of systems with the COMBOS-method
YOLOv5-SFE: An algorithm fusing spatio-temporal features for detecting and recognizing workers' operating behaviors
Industrial knowledge graph-enabled cognitive intelligence-driven mass personalization
Automatic representation and detection of fault bearings in in-wheel motors under variable load conditions
Shared dynamics learning for large-scale traveling salesman problem
Building object-oriented systems: An introduction from concepts to implementation in c++: R. E. Callan, Computational Mechanics Publications, Southampton, UK, 1994, ISBN 1-85312-340-4, 304 pp
Design-Oriented product fault knowledge graph with frequency weight based on maintenance text
A dynamic updating method of digital twin knowledge model based on fused memorizing-forgetting model
Nonlinear sparse filtering network for bearing compound fault separation and extraction
Scanned point cloud registration for localization of aircraft access panel and complementary frame with weak features
A novel Long-term degradation trends predicting method for Multi-Formulation Li-ion batteries based on deep reinforcement learning
Quality-driven unmanned compaction system with non-invasive retrofitting on existing roller
Integrated rough VIKOR for customer-involved design concept evaluation combining with customers' preferences and designers' perceptions
Improving traffic prediction using congestion propagation patterns in smart cities
Intelligent workload balance control of the assembly process considering condition-based maintenance
AI-powered NUN-SEDFN framework for addressing sparse data challenges in geotechnical parameter prediction
A hybrid real-parameter genetic algorithm for function optimization
Automated as-built 3D reconstruction of civil infrastructure using computer vision: Achievements, opportunities, and challenges
Model and algorithm for augmenting logistics network resilience with hybrid facilities and robust strategies
A causal saliency enhancement and Mamba-based multi-scale feature fusion encoding framework for railway fastener fault diagnosis
Empirical knowledge-driven remaining useful life prediction method under unknown failure pattern
AutoTRIZ: Automating engineering innovation with TRIZ and large language models
A novel six-dimensional digital twin model for data management and its application in roll forming
Extended attention signal transformer with adaptive class imbalance loss for Long-tailed intelligent fault diagnosis of rotating machinery
An imitation from observation approach for dozing distance learning in autonomous bulldozer operation
Neural network learning and expert systems: Stephen I. Gallant, MIT Press, Cambridge, MA, ISBN 0-262-071-452
Vehicle spatiotemporal distribution identification in low-light environment based on image enhancement and object detection
Manufacturing planning and predictive process model integration using software agents
Enhancing PCB assemblies reliability: An adaptive CatBoost-MOA approach integrated with Hu-Washizu variational principle for fatigue life prediction
Physics-guided deep reinforcement learning for improved operation of TBM considering kinetic inertia stability
A new ensemble deep learning approach for exchange rates forecasting and trading
Binocular vision-based pose monitoring technique for assembly alignment of precast concrete components
Enabling AI-driven modular building design: an auto-decoder approach for IFC 3D geometry representation
Learning multimodal adaptive relation graph and action boost memory for visual navigation
Multi-modal causal hypergraph reasoning for enhancing collaborative diagnosis of equipment composite failures
Inter-agent cooperation and communication for agent-based robust dynamic scheduling in steel production
IPC: Resource and network cost-aware distributed stream scheduling on skewed streams
IndusSynthe: Synthetic data using human-machine intelligence hybrid for enhanced industrial surface defect detection through self-updating with multi-view filtering
Qualitative analysis by piecewise linear approximation
Dynamic structuring of distributed manufacturing systems
A case-based method for service-oriented value chain and sustainable network design
User needs insights from UGC based on large language model
Statistical knowledge and game-theoretic integrated model for cross-layer impact assessment in industrial cyber-physical systems
Threshold alignment indicator driven two-phase nonlinear degradation model for remaining useful life prediction of rolling bearing
Anomaly detection and critical attributes identification for products with multiple operating conditions based on isolation forest
Shared mental models-based collaboration method in assembly tasks for multi-agent self-organizing systems
An intelligent predictive framework for consumer returns forecasting: Leveraging social media data in the electronics service industry
Evaluating the attitudes of different trainee groups towards eye tracking enhanced safety training methods
Application of industrial pipelines data generator in the experimental analysis: Pipe spooling optimization problem definition, formulation, and testing
Real-time detection of a camouflaged object in unstructured scenarios based on hierarchical aggregated attention lightweight network
Rapid generation method of process routes based on multi-agent collaboration with LLMs
Spatio-temporal graph convolutional network with domain generalization: A novel rotating machinery RUL prediction method in small samples
Tolerance strategies for cascading failures in platform-aggregated manufacturing service collaboration
A computational framework for authoring and searching product design specifications
A Graph-Based approach for individual fall risk assessment through a wearable inertial measurement unit sensor
Advanced engineering informatics editorial
Error source identification in metrology digital twin systems using machine learning
Enterprise architecture modelling--the issue of integration
In-situ observation and calibration for structure safety diagnosis through finite element analysis and mixed reality
Automatic design and planning of scaffolding systems using building information modeling
Improvement of a computer-based surveyor-training tool using a user-centered approach
Crowded comparison operators for constraints handling in NSGA-II for optimal design of the compensation system in electrical distribution networks
Spatial applications of neural networks in computer-aided design
Technology-driven roadmaps for identifying new product/market opportunities: Use of text mining and quality function deployment
Global and auxiliary prototypes complementary framework for machineries multi-source collaborative fault diagnosis
Component-aware anomaly detection framework for adjustable and logical industrial visual inspection
Novel data-to-image method for heating ventilation and air conditioning fault detection and diagnosis in the built world
Multi-type mixed response Gaussian process with parameter estimation embedded in latent variable approximation
A few-shot word-structure embedded model for bridge inspection reports learning
Solving vehicle routing problems by maximum neuron model
MICF: An effective sanitization algorithm for hiding sensitive patterns on data mining
A design for disassembly tool oriented to mechatronic product de-manufacturing and recycling
Federating cross-domain BIM-based knowledge graph
Hybrid order priority confirmation and production batch optimization for mass personalization flexible manufacturing (MPFM) model
From laboratory to field: normal map-aided multimodal instance segmentation for blasting fragmentation analysis
Deep learning models for efficient geotechnical predictions: reducing training effort and data requirements with transfer learning
Construction equipment activity recognition for simulation input modeling using mobile sensors and machine learning classifiers
Intelligent fault diagnosis of rolling bearing based on an active federated local subdomain adaptation method
A genetic algorithm based method for bidding strategy coordination in energy and spinning reserve markets
Population evolution analysis in collective intelligence design ecosystem
A blackboard architecture for plastics design
State of the art in damage information modeling for RC bridges - A literature review
A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction
A new approach for product evaluation based on integration of EEG and eye-tracking
Live semantic data from building digital twins for robot navigation: Overview of data transfer methods
The implementation of a knowledge-based framework for the aerodynamic optimization of a morphing wing device
Proactive dispatch of rail maintenance equipment under weather-induced disruptions: an optimization framework integrating machine learning-driven risk assessment
A Kansei evaluation approach based on the technique of computing with words
A neural network PI controller tuner
An application of qualitative analysis of ordinary differential equations to azeotropic batch distillation
Controllable diffusion generated dataset and hybrid CNN-Mamba network for burned area segmentation
A neural network classifier with rough set-based feature selection to classify multiclass IC package products
Data-driven order correlation pattern and storage location assignment in robotic mobile fulfillment and process automation system
ADCL: An attention feature enhancement network based on adversarial contrastive learning for short text classification
Knowledge-level analysis for eliciting composable scheduling knowledge
Don Grierson
3D reconstruction of aerial images with symmetrical gradient integral regression multi-view stereo network
Graph-based induction and its applications
Frequency-based leak signature investigation using acoustic sensors in urban water distribution networks
Industrial applications of digital twins: A systematic investigation based on bibliometric analysis
Agent-based evacuation modeling with multiple exits using NeuroEvolution of Augmenting Topologies
Lifting path planning of mobile cranes based on an improved RRT algorithm
Describing process plans as the formal semantics of a language of shape
Unsupervised neural method for temperature forecasting
A new method for diagnostic problem solving based on a fuzzy abductive inference model and the tabu search approach
Edge-cloud cooperation driven self-adaptive exception control method for the smart factory
Object-based terminal positioning solution within task-boosted global constraint for improving mobile robotic stacking accuracy
Biologically inspired product design combining Kansei Engineering and Association Creative Thinking Method
Target-driven dynamic coverage planning method for marsupial cluster system