yusuke1997/dblp-id-title huggingface dataset:
Stability of a model of power microgeneration network using the Kuramoto model
Hyper-Heuristic Glowworm Swarm Optimized Support Vector Machines for Heart and Thyroid Disease Classification
A novel approach for Enhancing Mammographic Images
Performance Analysis of Internet of Things enabled WSN for Agriculture
Seeker Optimization Algorithm with Deep Learning based Feature Fusion Model for Tomato Plant Leaf Disease Detection
Design and Development of Fusion-based Expert System for Multimodal Biometric Recognition with Facemask Authentication
A system of systems representation of solving a complex problem: the establishment of a maritime safety radar
The CRUTIAL reference critical information infrastructure architecture: a blueprint
Robust over finite frequency ranges H ∞ model reduction for uncertain 2D continuous systems
Transference and retrieval of compress voice message over low signal strength in satellite communication
Firefly Cyclic Golden Jackal Optimization Algorithm with Wavelet Artificial Neural Network for Blackmailing Attack Detection in Mobile Ad-hoc Network
A Systematic Literature Review of Secure and Advanced Software Defect Prediction
Application of Deep Convolutional Neural Networks Systems in Autonomous Vehicles
Blockchain Empowered Disaster Recovery Framework
Resolving software interoperability issues of unsigned number and date-time precision using JADE framework system
Analysing a system of systems characterisation to define system of systems engineering practices
A Parallelistic Approach toward Ontology Design to Overcome System's Nuance in Decision Governance
SiamEEGNet: Few-Shot Learning for Electroencephalogram-based Biometric Recognition System
Systemic intervention methods supporting complex system governance initiatives
Battery ageing management using war optimisation in electric vehicle applications
VLSI System Architecture Optimization for DLMS Adaptive Filter using PPG based Multiplier
A Collaborative Approach for Testing MapReduce Access Control Issues using Agent-based Architecture
On the Interrelationship between IoT and SoS
Governance in systems of systems: a systems-based model
Validity of railway microscopic simulations under the microscope: two case studies
Deep learning technologies for the assessment of air pollution level systems in smart cities
Applying systems thinking to assess sustainability in healthcare system of systems
Energy competent clustering algorithm for minimisation of holes in heterogeneous wireless sensor networks
The multiple impacts of the COVID-19: a qualitative perspective
An Intelligent Neural Question Answer Generation from Text Using Seq2se2 with Attention Mechanism System
A framework to choose alternative analysis and selection methods
An enhanced multi-kernel-based extreme learning machine model for crop yield prediction in IoT-based smart agriculture
Pulmonary Carcinoma cells Classification using a Novel DCNN model Integrated with Cloud Computing Environment
Complex system governance development: a first generation methodology
A method to define SoS requirements
Interpreting barriers to success in software development and deployment using systems theory
Biocybersecurity and Applications of Predictive Physiological Modeling
Parallelisation of machine learning models for credit card fraud detection
Advances in network topology security visualisation
Scoring the risk matrix
A Survey on Methods and Apparatus of Offloading in Mobile Cloud Computing
An Acceleration of Blockchain Mining by Parallel Process and Proof-of-Luck with Fair Share Technique System
Development of detection and recognition of human activity in sports using GMM and CNN algorithms
An Efficient Data Sharing Scheme Using MultiTransaction Mode Consortium Blockchain for Smart Healthcare
Analysis of text classification methods with large volume of tweets using deep learning
Medical Data Sharing Using Blockchain with Secure Patient/Doctor Interaction
Analysis of Text Classification Methods with Large Volume of Tweets using Deep Learning
An efficient smart container design using the internet of things and its applications
Systems of systems engineering thesaurus approach: from concept to realisation
An Optimized Deep Auto Encoder with Enhanced Extreme Learning Machine Model for Heart Disease Prediction and Classification
An efficient vote casting system with Aadhar verification through blockchain
Improved Gray Wolf Optimisation Based Energy Efficient Spectral Sensing in Cognitive Radio Network
Modeling and Simulation in Complex System Governance
Using behavioural observation and game technology to support critical infrastructure security
A new project-based curriculum of design thinking with systems engineering techniques
Sustainability of systems of systems
Factors Affecting in Consciously Improving Vocabulary with a Spaced Repetition System
An Efficient Rabin Cryptosystem-Based Authentication Mechanism For Vehicular Ad-hoc Networks
Deep Learning Algorithm Based Pregnant Women Heart Disease Prediction using Heart Beats
Multimedia data-concealing method on characteristic pictures using convolutional neural network
Challenges in implementing video deduplication in cloud storage system
A modelling and simulation-based safety evaluation of an advanced driver assistance system (ADAS) using V-model process
A histogram analysis for system of systems
Feature Interpreted Convolutional Neural Networks for Real Time Implementation of Respiratory Data
A satisfactory multi-agent single-machine considering a cross-docking terminal
Ten Views: Towards a Process Meta-Model in a System of Systems Context
Graph classification system using normalised graph convolutional networks
The multiple impacts of the COVID-19: A qualitative perspective
Systems of systems engineering education
The control systems engineering foundation of traditional Indian medicine: the Rosetta Stone for Siddha and Ayurveda
A generalisation of Fuhrmann's rank condition for discrete dynamic systems
Fog-IoT based smart home fusion billing system
Risk integrated effort estimation of software projects: a comparative analysis of machine learning techniques
Mining patterns in open source software using software metrics and neural network models
The nature and behaviour of complex system archetypes
Finite frequency Hoo filter design for T-S fuzzy continuous systems
GreenNotes: a smart utility tool to keep track of regular goals in the 21st century for smart cities and people
A process to comprehend critical system-of-systems factors: applied to wireless technology design on a navy ship
Database Systems under Rayleigh Fading Channels: MIMO-NOMA Based Performance Evaluation Modeling
A comparison of the system engineering standard and INCOSE Complexity Primer
A model based transformation paradigm for cross-language collaborations
Participants matter: Effectiveness of VR-based training on the knowledge, trust in the robot, and self-efficacy of construction workers and university students
An Adaptive Multi-Population Cooperative Whale Optimization Algorithm for global optimization and 3D UAV path planning
Using gesture and speech communication modalities for safe human-drone interaction in construction
Digital twin modeling for predicting loading resistance of loaders driven by deep transfer learning
BIM extension for the sustainability appraisal of conceptual steel design
Multi-objective optimization design of a complex building based on an artificial neural network and performance evaluation of algorithms
AKGNN-PC: An assembly knowledge graph neural network model with predictive value calibration module for refrigeration compressor performance prediction with assembly error propagation and data imbalance scenarios
Revealing the internal structure of IFC-Graph for efficient querying and knowledge discovery
Design issues for assistive robotics for the elderly
Long-Time gap crowd prediction with a Two-Stage optimized spatiotemporal Hybrid-GCGRU
Model based object recognition - the role of affine invariants
Construction-specific spatial information reasoning in Building Information Models
A framework to design a human-centred adaptive manufacturing system for aging workers
An augmented self-adaptive parameter control in evolutionary computation: A case study for the berth scheduling problem
Image-based 3D reconstruction for Multi-Scale civil and infrastructure Projects: A review from 2012 to 2022 with new perspective from deep learning methods
Multi-source ensemble transfer learning-based unmanned aerial vehicle flight data anomaly detection with limited data: From simulation to reality
A density-based spatial clustering approach for defining local indicators of drinking water distribution pipe breakage
Probing a novel machine tool fault reasoning and maintenance service recommendation approach through data-knowledge empowered LLMs integrated with AR-assisted maintenance guidance
Enhanced visual SLAM for construction robots by efficient integration of dynamic object segmentation and scene semantics
Understanding design activities through computer simulation
On a mechanical reasoning about causal relations
Two-stage approximation allocation approach for real-time parking reservations considering stochastic requests and reusable resources
A linked data approach to multi-scale energy modelling
An interpretable data-driven approach for process flowsheet convergence troubleshooting
A systematic review of digital twin about physical entities, virtual models, twin data, and applications
Generation of energy-efficient architecture solutions applying GENE_ARCH: An evolution-based generative design system
Spatio-temporal hypergraph-driven evolutionary Graph-Mamba method for remaining useful life prediction
Evolutionary game-based warehousing resources sharing strategy for logistics industry under product-service system paradigm
Sliding time-frequency synchronous average based on autocorrelation function for extracting fault feature of bearings
Feature knowledge distillation-based model lightweight for prohibited item detection in X-ray security inspection images
FB-GAT: A graph neural networks (GNNs) approach to assessing facades' buildability
WAM-ONTO: A semantic framework for water infrastructure asset management
Advanced AIoT for failure classification of industrial diesel generators based hybrid deep learning CNN-BiLSTM algorithm
Implicitly physics-informed multi-fidelity physical field data fusion method based on Taylor modal decomposition
Component selection using non-monotonic reasoning
Integration of channel decisions in a decentralized reverse production system with retailer collection under deterministic non-stationary demands
Photo-realistic visualization of seismic dynamic responses of urban building clusters based on oblique aerial photography
Unraveling neural patterns across situational awareness levels on hazard recognition behaviors: a fNIRS study
Recurrent U-Net-based Graph Neural Network (RUGNN) for accurate deformation predictions in sheet material forming
Proactive mental fatigue detection of traffic control operators using bagged trees and gaze-bin analysis
Predictive maintenance decision-making for variable faults with non-equivalent costs of fault severities
Method for digital evaluation of existing production systems adequacy to changes in product engineering in the context of the automotive industry
Multi-feature parallel prediction for the enhanced sparse data in laser processing based on an improved reinforced machine learning method
Part-of-speech tagging of building codes empowered by deep learning and transformational rules
Implicitly inspired prediction approach for design thinking with multi-domain analogical knowledge driven by electroencephalogram data
Information Quality Assessment for Facility Management
Rule-based versus probabilistic approaches to the diagnosis of faults in wastewater treatment processes
MSAO: A multi-strategy boosted snow ablation optimizer for global optimization and real-world engineering applications
Focusing candidate generation
A Unet-inspired spatial-attention transformer model for segmenting gear tooth surface defects
Process knowledge-based random forest regression for model predictive control on a nonlinear production process with multiple working conditions
Optimal delay estimation using complete bipartite graph method for VoIP over WLAN environments
A hypernetwork-based context-aware approach for design lesson-learned knowledge proactive feedback in design for manufacturing
State-of-the-art review and synthesis: A requirement-based roadmap for standardized predictive maintenance automation using digital twin technologies
An expert system for formulating lubricating oils
Fractional-order PID-based search algorithms: A math-inspired meta-heuristic technique with historical information consideration
BA-PNN-based methods for power transformer fault diagnosis
SPEVS-CC: Separated parameter estimation with variable selection based on canonical correlation analysis for multivariate functional regression
Designing with ethnography: An integrative approach to CSCW design
An ontology-based approach for developing data exchange requirements and model views of building information modeling
A study on connectivity path search in fractured-vuggy reservoirs based on multi-agent system
Problem-solving processes in an educational construction simulation game
Meet2Mitigate: An LLM-powered framework for real-time issue identification and mitigation from construction meeting discourse
Applications of agent-based systems in intelligent manufacturing: An updated review
Integrating large models with topology optimization for conceptual design realization
Advances in architectural, engineering and construction informatics
Image-based retro-reflectivity measurement of traffic signs in day time
A review of essential standards and patent landscapes for the Internet of Things: A key enabler for Industry 4.0
PTC-diffusion: A partitioned modeling with diffusion-based uncertainty evaluation for blasting silt displacement method reconstruction
Two hybrid meta -heuristic algorithms for a dual-channel closed-loop supply chain network design problem in the tire industry under uncertainty
Distribution recurrence plots and measures: Effective signal analysis tools for fault diagnosis of wind turbine drivetrain system
Modular Autonomous Electric Vehicle scheduling for demand-responsive transit services with modular charging strategy
Evolutionary game-based performance/default behavior analysis for manufacturing service collaboration supervision
An approach to accessing product data across system and software revisions
Interior models of earthquake damaged buildings for search and rescue
LDNet: Lightweight dynamic convolution network for human pose estimation
Time-series approach to vessel turnaround time forecasting using queuing-based operation indicators
Dynamic flexible job-shop scheduling by multi-agent reinforcement learning with reward-shaping
Designing self-organizing systems using surrogate models and the compromise decision support problem construct
Knowledge vortex network for continuous bearing remaining useful life prediction
TRINETR: An architecture for collaborative intrusion detection and knowledge-based alert evaluation
An immersive virtual reality serious game to enhance earthquake behavioral responses and post-earthquake evacuation preparedness in buildings
Prismm: A novel intelligent supervisory controller for automated guided vehicles
Label-free evaluation for performance of fault diagnosis model on unknown distribution dataset
Applying artificial immune systems to collaborative filtering for movie recommendation
Data-model fusion driven intelligent rapid response design of underwater gliders
End-to-End graph neural network framework for precise localization of internal leakage valves in marine pipelines based on Intelligent graphs
Improving communication barriers for on-site information flow: An exploratory study
Federating information portals through an ontology-centred approach: A feasibility study
A space layout design model for concept generation using Function-based spatial planning and structure dynamic deployment
Compound fault diagnosis method of rotating machinery using multi-view multi-label feature selection based on label compression and local label correlation
Data-driven generative design for mass customization: A case study
Depth-guided cross-modal fusion and diffusion-based enhancement for robust pavement defect segmentation
CPS-enabled predictive planning for high density tanks in industrial wastewater treatment
Approximate methods of structural analysis and design in a knowledge-based system environment
A system for knowledge-based process planning
Promoting circularity of construction materials through demolition digitalisation at the preparation stage: Information requirements and openBIM-based technological implementation
An ontology based approach for operational process modeling
Automatic code compliance with multi-dimensional data fitting in a BIM context
Toward an engineering science of knowledge-based design
Assessment of agricultural sustainability in agro-climatic regions of India: A single-valued neutrosophic distance measure-based hybrid ranking framework
Causal modelling of semiconductor fabrication
A semantic segmentation-based collision recognition method for motorcycle slalom through poles in Motorcycle Driving License Test
Simulation-to-real transfer learning for bearing fault diagnosis across working conditions: A hybrid approach combining physical modeling and data-driven techniques
Conceptual modeling in design
Berth allocation and quay crane assignment in a container terminal for the trade-off between time-saving and energy-saving
Joint optimization of steel plate shuffling and truck loading sequencing based on deep reinforcement learning
A dual adaptive semi-supervised attentional residual network framework for urban sound classification
Computer vision techniques for construction safety and health monitoring
Lane changing maneuver prediction by using driver's spatio-temporal gaze attention inputs for naturalistic driving
Adaptive feature-conserving compression for large scale point clouds
Applications eligible for data mining
Optimised decision-making model for vehicle health monitoring system leveraging deep learning algorithm
Utilizing text mining and Kansei Engineering to support data-driven design automation at conceptual design stage
Multi-satellite cooperative scheduling method for large-scale tasks based on hybrid graph neural network and metaheuristic algorithm
Developing taxonomy for the domain ontology of construction contractual semantics: A case study on the AIA A201 document
Special issue on construction informatics
Intelligent information extraction from government on-site inspection reports of construction projects: A graph-based text mining approach
Reasoning about function and its applications to engineering
Modelling the impacts of crowds on occupants in the built environment - A static, rule-based approach to human perception and movement
Research on digital twin method for structural damage identification using cross-domain awareness technology
Intelligent computing in engineering and architecture
Knowledge-driven automated design of industrial robots: A unified graph-based framework with multi-engine reasoning
Information modeling of earthquake-damaged reinforced concrete structures
A semantic knowledge management system for laminated composites
A hybrid CNN-LSTM model for involuntary fall detection using wrist-worn sensors
Day-ahead residential power load forecasting using adaptive online learning and Particle Swarm Optimization
Loading optimization of mixed-type containers for double-stack trains in multi-hub logistics
Survey on performance of deep learning models for detecting road damages using multiple dashcam image resources
Temporal learning in predictive health management using channel-spatial attention-based deep neural networks
Enabling control software generation by using mechatronics modeling primitives
Bidirectional piecewise linear representation of time series with application to collective anomaly detection
Ontology-based feature mapping and verification between CAD systems
Graph spectral filtering-enhanced tensor completion based on Schatten-p norm for missing measurements recovery with noise
Intelligent text recognition based on multi-feature channels network for construction quality control
Fast prediction of car driving direction velocity field based on convolutional neural network with data of flow simulation nodes after feature enhancement
Air traffic controller workload level prediction using conformalized dynamical graph learning
Advancing Network Security in Industrial IoT: A Deep Dive into AI-Enabled Intrusion Detection Systems
Self-healing control of abnormal conditions for fused magnesium furnace based on data augmentation and improved JITL
Healthcare service configuration based on project scheduling
Few-shot learning for structural health diagnosis of civil infrastructure
Automated classification of building information modeling (BIM) case studies by BIM use based on natural language processing (NLP) and unsupervised learning
Artificial evolution of neural networks and its application to feedback control
Integrated optimization of truck appointment quotas and container relocations for multiple blocks considering transshipment containers handling
Spatio-temporal graph convolutional networks with multi-source fusion for predicting excavation deformation
Knowledge augmented generalizer specializer: A framework for early stage design exploration
Integrating extended reality and robotics in construction: A critical review
CPM: A collaborative process modeling for cooperative manufacturers
Deep branch attention network and extreme multi-scale entropy based single vibration signal-driven variable speed fault diagnosis scheme for rolling bearing
Advancing local deployment of renewable energy prediction models through knowledge distillation with time-frequency domain fusion
Assessing fall risk in construction: Effects of a passive back support exoskeleton during slip and trip perturbations
Special Issue on techniques to support collaborative engineering environments
Traceability of abnormal energy consumption modes in grinding systems based on evolution analysis of causal network structure
Detecting and resolving conflicts among cooperating human and machine-based design agents
Intelligent identification and reasoning of causal relationships in texts on power production accidents
Production risk management system with demand probability distribution
Real-time construction worker posture analysis for ergonomics training
Identification of representative operating conditions of HVAC systems in passenger rail vehicles based on sampling virtual train trips
Multi-unit global-local registration for 3D bent tube based on implicit structural feature compatibility
A targeted memory-based intervention model of construction workers' unsafe behavior in human-robot interactions
A semi-automated method for verification and reliability assessment of network-scale bridge asset data
A digital twin system for Task-Replanning and Human-Robot control of robot manipulation
Improving evolvability of a patient communication control system using state-based supervisory control synthesis
Integrating context awareness and knowledge graphs for enhanced knowledge recommendation in manufacturing process planning
Statelets extraction-guided contrastive learning for detection of control performance degradation with varying degrees
Multi criteria decision-making model using the circular Pythagorean fuzzy soft set model
A decision approach with multiple interactive qualitative objectives for product conceptual schemes based on noncooperative-cooperative game theory
Few-shot unseen defect segmentation for polycrystalline silicon panels with an interpretable dual subspace attention variational learning framework
A data-driven simulation and Gaussian process regression model for hydraulic press condition diagnosis
Knowledge-based part similarity measurement utilizing ontology and multi-criteria decision making technique
Simulation-based approaches for construction resource management: methods, challenges, and future directions