yusuke1997/dblp-id-title huggingface dataset:
Wireless Compose-2: A wireless communication network with a Ballistocardiography Smart-Shirt experiment in the ISS Columbus module
Opportunistic Positioning with Starlink and OneWeb LEO Ku-band Signals
Partial distributed beamforming design in passive radar sensor networks
Structure of a station for Ionospheric Scintillation Monitoring and Intermediate-Frequency recording of GNSS signals
Wireless powering of drone-based MANETs for disaster zones
Fault Detection and Correction Using Observation Domain Optimization for GNSS Applications
Gain Margin of a First Order System with Two Delayed Sensors
A non-cooperative game theoretic approach for power allocation in intersatellite communication
All Electric Aircraft Mid-Air Recharging via Wireless Power Transfer: Battery Requirement Study
Data Downlink Antennas for Small Satellites in the NewSpace Era: Review and Perspectives
Geometrical sensor selection in large-scale high-density sensor networks
Bundle Protocol version 7 Implementation with Configurable Faulty Network and Evaluation
Advance of WISDOM GPR antenna for ExoMars 2018 mission
UAV Assisted Ground User Localization
Data Management and Data Products of a Daily Optical Communications Ground Station for Laser Communications Relay Demonstration
On the design of fair contact plans in predictable Delay-Tolerant Networks
Forecasting the total electron content TEC of the ionosphere using space weather parameters
Spacetenna Flatness and Error Correction
Delay and Energy Consumption Analysis for M2M Communication with Data Aggregation
PaddleSAR: Design of a Synthetic Aperture Radar on a PaddleSat
Dynamic reconfigurability of wireless sensor and actuator networks in aircraft
Underwater signal reflection enabled localization scheme
Compressed radio transmission of spatial field measurements by virtual sensors
2017 IEEE International Conference on Wireless for Space and Extreme Environments, WiSEE 2017, Montreal, QC, Canada, October 10-12, 2017
Characterization of an IR-UWB Transceiver Under Radiation Conditions
Random Graphs Estimation using Q-Learning
An Additively Manufactured CPW-back-fed Wideband Circularly-Polarized Radix Metasurface Patch Antenna for X-Band Space Applications
Reliability analysis of MIMO channel preprocessing by fault injection
A Customized EKF model for GNSS-based Navigation in the Harsh Space Environment
Simulated IEEE 802.15.4a BER results (multipath and coexistence) in the spacecraft environment
Optical Antennas for Wireless Sensor Network inside the Ariane VEB
High Altitude Platform Station (HAPS)-Aided GNSS for Urban Areas
Efficient, flexible, scalable inter-satellite networking
Passive RADAR acoustic delay line sensor measurement: demonstration using a WiFi (2.4 GHz) emitter and WAIC-band (4.3 GHz)
Regional ionospheric TEC data assimilation and forecasting during geomagnetic storm conditions for 17 th and 18 th March 2015 days
Optical orthogonal codes for DS-CDMA in OWLS
Evaluation of Starlink LEO Satellite Signals for High-Altitude Platform Station Opportunistic Navigation
Adversarial Attacks on Resource Management in P2P Wireless Communications
Space Solar Power Millimeter Wave Mid-Air Recharging Performance Analysis: Atmospheric, Rain and Cloud Attenuation
Wireless propagation measurements for astronaut body area network
A resourceful symmetric cryptographic construct for securing miniature satellite communications
Efficient set-membership filtering algorithms for wireless sensor networks
Cooperative strategies for distributed full-duplex relay networks with limited dynamic range
An integrated remote monitoring system for impact responses of aerospace structures
Channel aware adaptive quantization for target localization in wireless sensor networks
A protocol designed for intra-spacecraft impulse radio ultra-wideband communications
2015 IEEE International Conference on Wireless for Space and Extreme Environments, WiSEE 2015, Orlando, FL, USA, December 14-16, 2015
Group Authentication for Drone Swarms
A wireless technology assessment for reliable communication in aircraft
Wireless Linear Variable Differential Transformer Design and Structural Performance Analysis
Multi-resolution multiplexing for 5G wireless spectral efficiency enhancement in strong noise
Low power ASIC design for infrared sensor network inside ARIANE 5 vehicle equipment bay
Probabilistic Short-wave Fadeout Detection in SuperDARN Time Series Observations
Adaptive real-time software defined MIMO visible light communications using spatial multiplexing and spatial diversity
1-D array of silicon nitride grating couplers for visible light communications
Wi-Fi Signal Survey of the International Space Station by Autonomous Free-Flying Robot
Optimizing Cost and Transmission Power of Near-Ground Wireless Sensor Networks
Managing Routing Scalability in Space DTNs
Gain limits of phase compensated conformal antenna arrays on non-conducting spherical surfaces using the projection method
Study of radiation-induced frequency shifts in quarz crystal oscillators
Message prioritization support for space Delay/Disruption Tolerant Networks
A Nearly Metal-Only Origami Reconfigurable Phased Array Antenna for Space-Based Solar Power Transmission Using PaddleSats
A high temperature RF wireless pressure sensing system
True Random Number Generator using Solar Output Characteristics
Avionics Architectures for Exploration: Wireless technologies and human spaceflight
Some fundamental limits on SAW RFID tag information capacity and collision resolution
Quasi-Wireless Capacitive Power Transfer with Secure Data Acquisition for Robotic Systems in Space Infrastructure
Hypermodular self-assembling space solar power - Design option for mid-term GEO utility-scale power plants
Inter-Regional Routing in Interplanetary Networks with Shortcuts and Contact Passageways
Far-field passive temperature sensing up to 700°c using a dielectric resonator
Through-Metal Wireless Communications with Magnetic Induction
Robust Lyapunov Optimization for Multihop Communication in LEO Satellite Networks
The effect of Dust and Sand on the 5G Millimeter-Wave links
Design of a Circular-Patch Reflectarray for Microwave Power Transfer and Communications in Space
Effects of Regional and Seasonal Power Demand on Scaling Space Solar Power Systems
Wireless capacitive pressure sensor with directional RF chip antenna for high temperature environments
Feasibility Study of Extracting Range Data From Resident Space Objects Using In-Orbit Observers
Adaptive rateless coding scheme for deep-space Ka-band communications
UWB network demonstrator for space applications
A Novel TDMA based Protocol Stack with Virtual Circuit and Priority Queues for Multi-Class Wireless Traffic in a Space Environment
Autonomous Max-Flow Interplanetary Laser Link Scheduling for Martian Exploration
Empowering the Tracking Performance of LEO PNT by Means of Meta-Signals
CASSIOPeiA solar power satellite
Novel synthetic phased-array antenna systems for wide-view concertos platforms
Use of a Switched Beam Antenna in a Star Wireless Sensor Network for Data Collection: Neighbor Discovery Problem
Early Fault Diagnosis of Rolling Bearing based Empirical Wavelet Transform and Spectral Kurtosis
High Performance Remaining Useful Life Prediction for Gearbox
Research on Fault Diagnosis of Nuclear Gate Valve Based on Analysis of Energy Variation Characteristics of Vibration Signal
Diagnosis for systems with multi-component wear interactions
A comparative study of helicopter planetary bearing diagnosis with vibration and acoustic emission data
Diagnostic reasoning framework combining fuzzy logic and dempster-shafer theory
A Reinforcement Learning Algorithm for Optimal Dynamic Policies of Joint Condition-based Maintenance and Condition-based Production
Remaining Useful Life Prediction Based on Multi-scale Residual Convolutional Network for Aero-engine
Imbalanced fault diagnosis of rolling bearing using a deep gradient improved generative adversarial network
A parameter adaptive data-driven approach for remaining useful life prediction of solenoid valves
Comparison of Agent Deployment Strategies for Collaborative Prognosis
Machine remaining useful life prediction considering unit-to-unit variability
Enhancing Power Quality in Low-Inertia Grids Using NILM-Enabled Grid-Forming Inverters
A lithium-ion battery RUL prognosis method using temperature changing rate
Hypersonic flight vehicle intelligent fault diagnosis with imbalance data
A Novel Fault Diagnosis Method Based on Semisupervised Contrast Learning
Condition based maintenance for complex distributed systems
Analysis on the Fault Trend of Elevator surface damage of Civil Aircraft Flight Control System
Accurate health estimates from HUMS vibration data
HPart and Condition Extraction from Aircraft Maintenance Records
An Operation Condition-Matched Similarity Method for Remaining Useful Life Estimation with Dynamic Sample Fusion
Improved Park's Vector Method and its Application in Planetary Gearbox Fault Diagnosis
Bearing compound fault diagnosis based on enhanced variational mode extraction algorithm
A Local Mahalanobis Distance Analysis Based Methodology for Incipient Fault Diagnosis
Deep Recurrent Convolutional Neural Network for Remaining Useful Life Prediction
Experimental method based on guided wave for ablation monitoring of C/C thermal protection structures
A PHM Model for a City Bus Transportation System
A integrated vehicle health management framework for aircraft - A preliminary report
A feature extraction method based on probabilistic Principal components analysis and sampling importance resampling for bearing fault detection
A Class-Added Continual Learning Method for Motor Fault Diagnosis Based on Knowledge Distillation of Representation Proximity Behavior
A Bayesian Network Approach for Imbalanced Fault Detection in High Speed Rail Systems
Industrial AI Enabled Prognostics for High-speed Railway Systems
Tool Wear Prediction Under Varying Milling Conditions via Temporal Convolutional Network and Auxiliary Learning
Improved Empirical AM and FM Demodulation for Mono-component Signals
Operating room planning with multiple downstream units
Data-driven prognostics of remaining useful life for milling machine cutting tools
Fault Prognosis of Satellite Reaction Wheels Using A Two-Step LSTM Network
Tradeoff between energy consumption and lifetime in two tiered wireless sensor networks
Dynamic Programming Model for Multi-Stage Reliability Growth Planning
Online Bearing Fault Diagnosis using Support Vector Machine and Stacked Auto-Encoder
Multilevel DiscreteWavelet Transform and Deep Neural Networks for Predicting Remaining Useful Life of a Machine Asset
Modeling method for the correlation of zonal products based on improved generalized directed graphs
A Comparative Study of Deep Learning-Based Diagnostics for Automotive Safety Components Using a Raspberry Pi
Considerations in implementing canary based prognostics
A High Performance Contingency Planning System for VAVs with Lost Communication
A Dynamic Maintenance Strategy for Prognostics and Health Management of Degrading Systems: Application in Locomotive Wheel-sets
AText Mining based Reliability Analysis Method in Design Failure Mode and Effect Analysis
Prognostication of solder-joint reliability of 0.4mm and 0.5mm pitch bgas subjected to mechanical shocks up to 10, 000G
Diagnostic Models for Wind Turbine Gearbox Components Using SCADA Time Series Data
Detection of Wood Moisture Content Using Microwave Nondestructive Testing Method
Exploring the Use of PHM for Software System Security and Resilience
A Physics-based prognostics approach for Tidal Turbines
Prognostics by interacting multiple model estimator
Improving Structural Change Detection using a Differential Equation-based Prediction Model for Condition Monitoring of Rotating Machines
An Entropy-based Data Reduction Method for Data Preprocessing
Compound Fault Diagnosis for Train Transmission Systems Using Deep Learning with Fourier-enhanced Representation
2022 IEEE International Conference on Prognostics and Health Management, ICPHM 2022, Detroit (Romulus), MI, USA, June 6-8, 2022
Optimizing Data Training Quantity for Bearing Condition Monitoring
Tandem Connectionist Anomaly Detection: Use of Faulty Vibration Signals in Feature Representation Learning
International IEEE Conference on Prognostics and Health Management, ICPHM 2021, Detroit, MI, USA, June 7-9, 2021
Predicting the software reliability of complex systems
Data-driven prognostic techniques for estimation of the remaining useful life of lithium-ion batteries
Fault Isolation and Diagnosis of High Pressure Fuel Pump Solenoid Valves Using Current Feedback
Bearing fault detection and fault size estimation using an integrated PVDF transducer
Mechanical fault diagnosis of rolling bearing based on locality-constrained sparse coding
Condition Monitoring of Turbine Generator Using Stator Winding Temperature
A Multivariate Time Series Anomaly Detection Method Based on Generative Model
Faults Analysis of Double Water Inner Cooled Synchronous Machines
Prognosis of Power Connector Disconnect and High Resistance Faults
Aviation BIT optimal method for reducing false alarm rate under gust environment
Embeddings for the Identification of Aircraft Faults (MERIT)
Motor current signature analysis for gearbox fault diagnosis in transient speed regimes
Gear Fault Diagnosis Based on Short-time Fourier Transform and Deep Residual Network under Multiple Operation Conditions
The Detection of Dc Arc Fault Based on DFA
Research on Optimal Sensor Placement for Aircraft Structural Health Management
Using independent component analysis scheme for helicopter main gearbox bearing defect identification
Integrated Hilbert Huang technique for bearing defects detection
A reliability assessment method for traction transformer of high-speed railway considering the load characteristics
Model-based diagnosis: A frequency domain view
Research on Residual Life Prediction of Joint Rotating Structure with Multiple Failure Coupling
TDR-based pipe leakage detection and location using Bayesian inference
Civil aircraft health management research based on big data and deep learning technologies
Support vector data description for machinery multi-fault classification with unbalanced datasets
A New Method of Online Fault Diagnosis Based on Incremental Continuous Attribute Naive Bayesian
Fault diagnosis of rolling bearing using a transfer ensemble deep reinforcement learning method
Diagnosis of Membrane Chemical Degradation For Health Management of Polymer Electrolyte Fuel Cells
Selective Domain Adaptation Network for Lithium-ion Battery Health Monitoring
A data-driven prognostics approach for RUL based on principle component and instance learning
A Comparison Study of Machine Learning Enabled Filtering Methods for Battery Management
Source localization using beamforming and double L-shape sensors arrays
Mitigating Electrical Losses Through a Programmable Smart Energy Advanced Metering Infrastructure System
Estimating remaining useful life of machine tool ball screws via probabilistic classification
A method for the maintainability assessment at design stage based on maintainability attributes
Performance analysis of a twin shaft Industrial Gas Turbine at fouling conditions
Remaining Useful Life Estimation by Empirical Mode Decomposition and Ensemble Deep Convolution Neural Networks
System reliability assessment based on QMU
Machine Learning-Assisted Power Modeling and Simulation of Quantum Cloud Data Centers
A Robust Method for Fault Detection and Severity Estimation in Mechanical Vibration Data
Proactive Network Maintenance using Fast, Accurate Anomaly Localization and Classification on 1-D Data Series
Detection of False Data Injection Attacks on Grid-Connected Type-4 Wind Turbines
Correlation analysis for impedance-based health monitoring of electromagnetic coils
A Multiscale Entropy-Based Long Short Term Memory Model for Lithium-Ion Battery Prognostics
Physical-clone-based prognostics of mechanical structures
Generating Real-valued Failure Data for Prognostics Under the Conditions of Limited Data Availability
Short-term electricity load forecasting with Time Series Analysis
A New Anomaly Detection Method Based on Multi-dimensional Condition Monitoring Data for Aircraft Engine
Deep Learning-Based Virtual Metrology in Multivariate Time Series
An application of systemic prediction evaluation parameters for neural network remaining useful life predictions models
Intelligent Fault Diagnosis for Planetary Gearboxes using a Hybrid CNN-Transformer Model with Skip Connections
Anomaly Detection During Lithium-ion Battery Qualification Testing
Transferring Random Samples in Actuator Systems for Binary Damage Detection
A Deep Ensemble Learning Model for Rolling Bearing Fault Diagnosis
A Condition Monitoring System for Low Vacuum Plasma Spray using Computer Vision
Comparison of stochastic response surface method and Monte Carlo method for uncertainty analysis of electronics prognostics
Dynamic sensor calibration: A comparative study of a Hall effect sensor and an incremental encoder for measuring shaft rotational position
Prediction of remaining useful life of battery cell using logistic regression based on strong tracking particle filter
A Novel Intelligent Diagnosis Method for Bearing Based on Fused-feature Images
Sensitivity Study of Mini-Batch Size on a Long Short-Term Memory Network for Predicting Shell-tocore Ratio of Microencapsulated Phase Change Materials
Vibration Time Series Classification using Parallel Computing and XGBoost
Building the Tower of Babel for Big Data
ANN based RUL assessment for copper-aluminum wirebonds subjected to harsh environments
Model-driven multi-view conceptual architecture design in a PHM system environment
A hydrogenerator model-based failure detection framework to support asset management
Situation Awareness for Cyber-Physical System: A Case Study of Advanced Metering Infrastructure
Experimental Setups for Linear Feed Drive Predictive Maintenance: A Review
An Enhanced Feature Engineering and Stacking Ensemble Framework for Remaining Useful Life Prediction
Nacelle orientation based health indicator for wind turbines
Visualization of gear-motor shaft whirling feature based on time-series analysis for rotary machine component condition monitoring
APU feature integration based on multi-variant flight data analysis
Generating feature sets for fault diagnosis using denoising stacked auto-encoder
A Data-driven Condition Monitoring method to predict the Remaining Useful Life of SiC Power Modules for Traction Inverters
Use of acoustic emission for Lithium-ion battery to identify defects, overcharging, and swelling
A novel unsupervised anomaly detection for gas turbine using Isolation Forest
Unsupervised anomaly detection of the gas turbine operation via convolutional auto-encoder
Real-time predictive maintenance for wind turbines using Big Data frameworks
Time-frequency Embedded Self-supervised Contrastive Learning for Fault Diagnosis of High-Speed Train bearing under Limited Labeled Data
Degradation Estimation of Turbines in Wind Farm Using Denoising Autoencoder Model
Prognostics of crack propagation in structures using time delay neural network
Fusion of Low-level Features with Stacked Autoencoder for Condition based Monitoring of Machines
Prognostics of remaining useful life for lithium-ion batteries based on a feature vector selection and relevance vector machine approach
Control adaptation approach for fault detection and isolation in SIDI high pressure fuel pump
A boosting classifier for induction motor fault diagnosis
A Deep Learning Approach for Failure Prognostics of Rolling Element Bearings
On cross-domain feature fusion in gearbox fault diagnosis under various operating conditions based on Transfer Component Analysis
Remaining useful life Prediction of air spring
A kind of approach for aero engine gas path fault diagnosis
A fault diagnosis method of planetary gearbox under variable speed condition using Vold-Kalman filter and Laplacian score
Time-frequency demodulation analysis for gearbox fault diagnosis under nonstationary conditions
A Dynamic Current Feature Map for Condition Monitoring of Rotating Machinery
Cost benefit analysis for maintenance of rotating machines
Prognostication of LED remaining useful life and color stability in the presence of contamination
A Practical Design for a Battery Diagnostic and Prognostic System Tool Suite
A method for maintenance decision based on condition monitoring
Aero-Engine Exhaust Gas Temperature Prognostic Model Based on Gated Recurrent Unit Network
Implementation and verification of prognostics and health management system using a configurable system of systems architecture
Using PCTRAN Nuclear Power Plant Accident Simulation Alarm System with Deep Learning for Alarm Flood Classification and Prognostics and Health Management
Bearing fault diagnosis based on variational mode decomposition and stochastic resonance
A Multivalued Test and Diagnostic Strategy Optimization Method for Aircraft System Fault Diagnosis
Designing a Reliability Quick Switching Sampling Plan based on the Lifetime Performance Index
Bearing Degradation Prediction based on Multi-Scale Mamba-Transformer Model
A study on life monitoring of landing gear based on weight parameter and fatigue loads interaction
Research on composite impact localization by MUSIC based guided wave monitoring
Research on General Aircraft Cluster Health Assessment Method
Detecting continual anomalies in monitoring data stream based on sampling GPR algorithm
Towards an integrated development of PHM systems for aircraft engines: In-design selection and validation of health indicators
Diagnosing wind turbine faults using machine learning techniques applied to operational data
Damage Evolution Characterization of Low Carbon Alloy Steel Based on Multiaxial Fatigue Test and DIC
Energy Management of Solar UAV Level Flight
Multipath Parallel Hybrid Deep Neural Networks Framework for Remaining Useful Life Estimation
Gearbox Fault Diagnostics Using Deep Learning with Simulated Data
Prognostics of Lithium ion battery using functional principal component analysis
Real-time and energy-efficient bearing fault diagnosis using discriminative wavelet-based fault features on a multi-core system
Condition-Based-Events Life Curve: Conceptual View to Support Fault Management of Complex Systems of Overlapped, Distributed Events
Relibility enhance powertrain using ANFIS base prognostics model
Anomaly Detection in WBANs using GANs and ConvLSTM
Defects Tracking via NDE Based Transfer Learning
IEEE International Conference on Prognostics and Health Management, ICPHM 2025, Denver, CO, USA, June 9-11, 2025
A Hybrid F-G-D Approach for Reliability Risk Assessment of Surgical Robots
Failure simulation and identification of shock absorber in carrier-based aircraft landing gear
Deep Feature Learning Based Fault Detection with High-Frequency Signals
Optimizing Flight Control of Unmanned Aerial Vehicles with Physics-Based Reliability Models
Age replacement model using the parameter estimation of Weibull distribution with censored lifetimes
Perceptual Hashing of Cyclostationary Signal with Sparse Coding
Tool Fault Diagnosis Based on Improved Multiscale Network and Feature Fusion
An Enhanced Sparse Filtering Fusion Method for Bearing Fault Diagnosis
An improved correlation-based anomaly detection approach for condition monitoring data of industrial equipment
RULENet: End-to-end Learning with the Dual-estimator for Remaining Useful Life Estimation
Real-time monitoring of machines using Open Platform Communication
Air filter diagnostics & prognostics in naturally aspired engines
Cost-Effective Active Learning for Cable Network Impairment Data
Understanding real faults of axle box bearings based on vibration data using decision tree
Guided Visual Inspection enabled by AI-based Detection Models
Unsupervised anomaly clustering via offset alignment in multivariate grid sensing data
An Anomaly Detection and Fault Diagnosis Method for Multi-shaft Speed Sensors
Uncertainty Prediction of Remaining Useful Life Using Long Short-Term Memory Network Based on Bootstrap Method
IEEE International Conference on Prognostics and Health Management, ICPHM 2023, Montreal, QC, Canada, June 5-7, 2023
Application of PSO-ELM in electronic system fault diagnosis