yusuke1997/dblp-id-title huggingface dataset:
A Novel Bearing Health Indicator Construction Method Based on Ensemble Stacked Autoencoder
Particle Filtering framework for Health Monitoring of Lithium-Ion Batteries using Ampere-hour Throughput based Semi-Empirical Model
Advancing Industrial Safety Compliance Using YOLOv11 and SH17 Dataset
Lithium-ion battery state of charge estimation based on dynamic neural network and Kalman filter
An Online State of Health Estimation Method for Lithium-ion Batteries Based on Integrated Voltage
Remaining Useful Life Prediction of Machinery Subjected to Two-Phase Degradation Process
Object Detection using Deep Learning in a Manufacturing Plant to Improve Manual Inspection
A gas path fault diagnostic model for gas turbine based on deep belief network with prior information
Active learning for accurate analysis of streaming partial discharge data
Early gear tooth crack detection based on singular value decomposition
Sensor fault detection and isolation of an autonomous underwater vehicle using partial kernel PCA
Health Performance Interval Prediction of Pumped Storage Unit Based on Multi-Objective Optimization
i-RCAM: Intelligent expert system for root cause analysis in maintenance decision making
Visual explanation of neural network based rotation machinery anomaly detection system
A causal graph-based framework for satellite health monitoring
Health Indicator Forecasting for Improving Remaining Useful Life Estimation
2015 IEEE Conference on Prognostics and Health Management, ICPHM 2015, Austin, TX, USA, June 22-25, 2015
Remaining useful life prediction for non-Markovian degrading systems with multiple working conditions
Towards a new health prognostics method for inverters: Power SiC-GTO failures and its precursors
An Accelerated Load Sequence Design Method Based on Merged Markov Matrix
Online change detection techniques in time series: An overview
Extracting Mode Converted Guided Wave Response due to Delamination using Embedded Thin Film Sensors
One-Class Support Vector Machines for Structural Health Monitoring on Wave Energy Converters
Condition monitoring of wheel wear for high-speed trains: A data-driven approach
Application of diagnosis and prognosis to wind turbine system based on fatigue load
Model-based method for estimating LiCoO2 battery state of health and behaviors
Data-driven on-line health assessment for lithium-ion battery with uncertainty presentation
A prediction method for aero-engine health management based on nonlinear time series analysis
Reliable Thermal Monitoring of Electric Machines through Machine Learning
Investigating the Effect of Event-triggered Control and Nonlinear Actuator Dynamics on Spacecraft Attitude Stabilization
Identification of vehicle response features for onboard diagnosis of vehicle running instability
Online sequential extreme learning machines for fault detection
Uncertainty quantification using evidence theory in concrete fatigue damage prognosis
Particle filtering based estimation of remaining useful life of lithium-ion batteries employing power fading data
Modeling Operational Risk to Improve Reliability of Unmanned Aerial Vehicles
An Optimized Support Vector Regression for Identification of In-phase Faults in Control Moment Gyroscope Assembly
Electrochemical Impedance Spectroscopy (EIS) and Machine Learning based Battery State of Health (SoH) Estimation
Lithium-ion battery remaining useful life prediction with Deep Belief Network and Relevance Vector Machine
Real Time Ultrasonic Monitoring of Solid-State Lithium-Ion Cells in the Frequency Domain
Battery remaining useful life prediction algorithm based on support vector regression and unscented particle filter
A Novel Deep Soft Clustering for Unsupervised Univariate Times Series
Approach for the Degradation of Hydrodynamic Journal Bearings based on Acoustic Emission Feature Change
State Reconstruction: Generating a Reference for Improved Diagnostics
A Chirp-Waveform-Based Eddy Current Method for Defects Detection in Ferromagnetic Materials
Implementing Predictive Maintenance in a Company: Industry Insights with Expert Interviews
Application of Machine Learning Algorithms for Patient Length of Stay Prediction in Emergency Department During Hajj
Prognostics of lithium-ion batteries using a deterministic Bayesian approach
Running state detection and performance evaluation method for feed mechanism of numerical control machine
Part Name Normalization
RUL prognostics and critical zone recognition for suspended time-series
Early Detection of Signal Transients Using a Hybrid Signal Processing Method for Gearbox Fault Diagnosis
Formulation and Solution for the Predictive Maintenance Integrated Job Shop Scheduling Problem
A novel method for capacity fade analysis of lithium-ion batteries based on multi-physics model
Real-time remote monitoring of an air compressor using MTConnect standard protocol
Study on multi-event opportunistic maintenance decision-making model based on condition
Gaussian Process Regression based State of Health Estimation of Lithium-Ion Batteries using Indirect Battery Health Indicators
An Aero-engine Gas Path Fault Diagnosis Method Based on OPABC-BP
A Novel Evaluation Framework for Unsupervised Domain Adaption on Remaining Useful Lifetime Estimation
Development and evaluation of health monitoring techniques for railway point machines
Transfer Learning-based SAE-CNN for Industrial Data Processing in Multiple working Conditions Recognition
Remaining Useful Life Prediction of Lithium-Ion Batteries Using Multi-model Gaussian Process
Comparison of Two Maintenance Policies for the Coordination of Decisions of Quality Control and Maintenance Planning
An Aero-engine Gas Path Fault Feature Extraction Method Based on IGA-KPCA
Condition Monitoring for the Marine Diesel Engine Economic Performance Analysis with Degradation Contribution
Design of a Low-cost IoT-based Wireless Strain Monitoring System for Structural Health Monitoring in Port Portal Cranes
Unsupervised Domain Adaptation for Bearing Fault Diagnosis Considering the Decision Boundaries
Using UTAUT, TTF, and PR integrating models to evaluate employees' acceptance and behavioral intention of PHM-based system in the military industry
Application of Deep Learning for Fault Diagnostic in Induction Machine's Bearings
Multi-mode signals driven damage detection for composite structures by ensemble generalized multiclass support vector machine
Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning
Temporal Convolutional Network Based Regression Approach for Estimation of Remaining Useful Life
Sensing Technologies and Artificial Intelligence for Subsea Power Cable Asset Management
Discovering Depressurization Events in Service Difficulty Reports using Machine Learning
PHM functions maturation
Demo Abstract: ImmunoPlane - Middleware for Providing Adaptivity to Distributed Internet-of-Things Applications
Demo Abstract: Implementing a COVID-19 Risk Assessment System for User-Informed Travel Planning in Harris County
Enhanced Real-Time Machine Inspection with Mobile Augmented Reality for Maintenance and Repair: Demo Abstract
Predictive Power Control in Wireless Sensor Networks
Event Tracker using Social Networks: Demo Abstract
Poster Abstract: Chained of Things: A Secure and Dependable Design of Autonomous Vehicle Services
FedRule: Federated Rule Recommendation System with Graph Neural Networks
Towards an Optimized BlockChain for IoT
D2TLS: delegation-based DTLS for cloud-based IoT services
Sentinel: A Robust Intrusion Detection System for IoT Networks Using Kernel-Level System Information
Wireless Multicast Rate Control Adaptive to Application Goodput and Loss Requirements
Adaptive Data Replication in Real-Time Reliable Edge Computing for Internet of Things
Detecting Mental Disorders with Wearables: A Large Cohort Study
Extending T-Res with Mobility for Context-Aware IoT
Secure Information Sharing among Autonomous Vehicles in NDN
Gait-Watch: A Context-aware Authentication System for Smart Watch Based on Gait Recognition
Participatory design fiction for innovation in everyday wearable IoT systems: demo abstract
Workload Shaping Energy Optimizations with Predictable Performance for Mobile Sensing
MobiT: A Distributed and Congestion-Resilient Trajectory Based Routing Algorithm for Vehicular Delay Tolerant Networks
Poster Abstract: Camera-Assisted Training of Non-Vision Sensors for Anomaly Detection
A Blockchain-Based Privacy-Preserving Model for Consent and Transparency in Human-Centered Internet of Things
Public Health and Social Media: Language Analysis of Vaccine Conversations
Beyond Thresholds: A General Approach to Sensor Selection for Practical Deep Learning-based HAR
Adaptive Software-Defined Visible Light Communication Networks
SolarDetector: Automatic Solar PV Array Identification using Big Satellite Imagery Data
MOHAWK: Mobility and Heterogeneity-Aware Dynamic Community Selection for Hierarchical Federated Learning
Ride: A Resilient IoT Data Exchange Middleware Leveraging SDN and Edge Cloud Resources
APEX: automatic precondition execution with isolation and atomicity in internet-of-things
Access control with delegation for smart home applications
Porting and Execution of Anomalies Detection Models on Embedded Systems in IoT: Demo Abstract
Dělen: Enabling Flexible and Adaptive Model-serving for Multi-tenant Edge AI
Personalized augmented reality via fog-based imitation learning
SUPER: Seated Upper Body Pose Estimation using mmWave Radars
Leveraging Fine-Grained Occupancy Estimation Patterns for Effective HVAC Control
A simpy-based simulation testbed for smart-city IoT applications: poster abstract
On lightweight privacy-preserving collaborative learning for internet-of-things objects
$\pi$-Configurator: Enabling Efficient Configuration of Pipelined Applications on the Edge
CoPI: Enabling Probabilistic Conflict Prediction in Smart Space Through Context-awareness
Semantic Technologies for the IoT - An Inter-IoT Perspective
A Neural Network and IoT Based Scheme for Performance Assessment in Internet of Robotic Things
Poster Abstract: Good Advice That Just Doesn't Help
Ninth IEEE/ACM International Conference on Internet-of-Things Design and Implementation, IoTDI 2024, Hong Kong, May 13-16, 2024
To Share or Not to Share: On Location Privacy in IoT Sensor Data
Maximizing Network Lifetime of WirelessHART Networks under Graph Routing
Seventh IEEE/ACM International Conference on Internet-of-Things Design and Implementation, IoTDI 2022, Milano, Italy, May 4-6, 2022
Multilayer distributed control over 5G networks: challenges and security threats
Poster Abstract: CoCPN-Sim: An Integrated Simulation Environment for Cyber-Physical Systems
RespWatch: Robust Measurement of Respiratory Rate on Smartwatches with Photoplethysmography
IoTDI '21: International Conference on Internet-of-Things Design and Implementation, Virtual Event / Charlottesville, VA, USA, May 18-21, 2021
Frugal Crowd Sensing for Bus Arrival Time Prediction in Developing Regions: Poster Abstract
Fogification of industrial robotic systems: research challenges
Adaptive Software-Defined Visible Light Communication Networks: Demo Abstract
Tethys: Collecting Sensor Data without Infrastracture or Trust
Implementation of LPWAN over white spaces for practical deployment
Poster Abstract: Contactless Vital Sign Monitoring using Low-Power FMCW Radar
5G-Slicer: An emulator for mobile IoT applications deployed over 5G network slices
Poster Abstract: Iterative Trajectory Optimization for Dual-UAV Secure Communications
Black-Box IoT: Authentication and Distributed Storage of IoT Data from Constrained Sensors
Cyber-Physical Fingerprinting for Internet of Things Authentication: Demo Abstract
The need for deterministic virtualization in the industrial internet of things
On the Energy Costs of Post-Quantum KEMs in TLS-based Low-Power Secure IoT
MLIoT: An End-to-End Machine Learning System for the Internet-of-Things
Intermittent Edge Computing for Green Agricultural Automation
IoTRepair: Systematically Addressing Device Faults in Commodity IoT
Demo Abstract: In-Ear-Voice - Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms
Predictable Wireless Networking for Real-Time Cyber-Physical-Human Systems: Poster Abstract
LinkLab: A Scalable and Heterogeneous Testbed for Remotely Developing and Experimenting IoT Applications
A Modular Approach to Context-Aware IoT Applications
DeepSQA: Understanding Sensor Data via Question Answering
FaiR-IoT: Fairness-aware Human-in-the-Loop Reinforcement Learning for Harnessing Human Variability in Personalized IoT
Implementing time-triggered communication over a standard ethernet switch
Understanding Multi-Stage, Multi-Modal, Multimedia Events in Social Media
Enabling Synergy in IoT: Platform to Service and Beyond
Mobile sensor data anonymization
Poster Abstract: SmartAppZoo: a Repository of SmartThings Apps for IoT Benchmarking
REACT: Streaming Video Analytics On The Edge With Asynchronous Cloud Support
From Energy Audits to Monitoring Megawatt Loads: A Flexible and Deployable Power Metering System
Benefits of GPU-CPU Task Replacement for Edge Device and Platform: Poster Abstract
Empowering End Users for Social Internet of Things
MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning
Poster Abstract: Safety Analysis for UAV Networks
An Open Smart City IoT Test Bed: Street Light Poles as Smart City Spines: Poster Abstract
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks
Evaluating Emergency Evacuation Events Using Building WiFi Data
The Future of Deception: Machine-Generated and Manipulated Images, Video, and Audio?
Poster Abstract: Topological Analysis for Knowledge Discovery from Building Sensor Data
An IoT Dashboard Monitoring First Responders' Health and Environmental Data during HAZMAT Emergencies
Trust Evaluation for Data Exchange in Vehicular Networks: Poster Abstract
Planning Electric Vehicle Charging Stations Based on User Charging Behavior
Poster Abstract: Towards Scalable and Trustworthy Decentralized Collaborative Intrusion Detection System for IoT
Anonymizing building data for data analytics in cross-organizational settings
Exploiting mmWave and Deep-Learning Models to Estimate People Count in Urban Scenarios
Sentinel: Secure Mode Profiling and Enforcement for Embedded Systems
Lux: Enabling Ephemeral Authorization for Display-Limited IoT Devices
Security Vulnerabilities in LoRaWAN
PlanIt and DQ-N for Low-Power Wide-Area Networks: Demo Abstract
A Knowledge Graph Question Answering Approach to IoT Forensics
DeviceMien: network device behavior modeling for identifying unknown IoT devices
Real-Time Communication over LoRa Networks
CurrentSense: A novel approach for fault and drift detection in environmental IoT sensors
Effects of Social Media Involvement, Context, and Data-Type on Opinion Formation
Accurate and Fast Detection of Tag Antenna Damage for RFID Sensing: Poster Abstract
SafeWatch: A Wearable Hand Motion Tracking System for Improving Driving Safety
Vibration-based Indoor Occupant Gait Monitoring with Robot Vacuum Cleaners: Poster Abstract
The Standby Energy of Smart Devices: Problems, Progress, & Potential
Demo Abstract: A Hardware Prototype Targeting Federated Learning with User Mobility and Device Heterogeneity
Third Party Authorization of LwM2M Clients: Poster Abstract
REACT: an Agile Control Plane for Industrial Wireless Sensor-Actuator Networks
A Semantic Notification Approach for IoT-Based Sensory Data: Demo Abstract
Recorp: Receiver-Oriented Policies for Industrial Wireless Networks
Water in the Cloud: Remote Understanding of Water Chemistry: Poster Abstract
Wireless Control for the IoT: Power, Spectrum, and Security Challenges: Poster Abstract
Simulating Conflict Detection in Heterogeneous Services of a Smart City: Demo Abstract
Cloud Ecosystems Support for Internet of Things and DevOps Using Patterns
SEAGULL: Low-Cost Pervasive Sensing for Monitoring and Analysing Underwater Plastics
Poster Abstract: Towards a Predictive Model for Improved Placement of Solar-Powered Urban Sensing Nodes
Demo Abstract: PriviFy: Designing Tangible Interfaces for IoT Privacy Configuration
Towards a systematic survey of industrial IoT security requirements: research method and quantitative analysis
Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras
Demo Abstract: Distributed, Scalable, and Transparent Data Management Framework for Energy Market: A Blockchain Approach
LegoSENSE: An Open and Modular Sensing Platform for Rapidly-Deployable IoT Applications
Improving Trustworthiness of Human Sensing Data via Open Data
Enabling a Flexible and Sustainable Smart Campus Networking Backbone Using LoRaWAN: Poster Abstract
AI-based Simultaneous Audio Localization and Communication for Robots
Practical Crowdsourcing of Wearable IoT Data with Local Differential Privacy
Obstacle and Connectivity Aware Wireless Video Sensor Deployment for 3D Indoor Monitoring: Poster Abstract
DDFlow: visualized declarative programming for heterogeneous IoT networks
IOTA: A Framework for Analyzing System-Level Security of IoTs
SPIDERS: Low-Cost Wireless Glasses for Continuous In-Situ Bio-Signal Acquisition and Emotion Recognition
Cooperative Infrastructure Perception
A Toolkit for Construction of Authorization Service Infrastructure for the Internet of Things
Poster Abstract: A LoRa-based Energy-Efficient Sensing System for Urban Computing
Human Mobility Modeling on Metropolitan Scale Based on Multiple Cellphone Networks: Poster Abstract
Online Energy Management under Uncertainty for Net-Zero Energy Ecosystems
SmartParcels: A What-If Analysis and Planning Tool for IoT-Enabled Smart Communities: Demo Abstract
Compute node communication in the fog: survey and research challenges
Challenges in using time slotted channel hopping with ultra wideband communications
EcoLoc: Encounter-Based Collaborative Indoor Localization: Poster Abstract
Query Processing for the Internet-of-Things: Coupling of Device Energy Consumption and Cloud Infrastructure Billing
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2023, San Antonio, TX, USA, May 9-12, 2023
Towards Quantum Resilient IoT: A Backward-Compatible Approach to Secure BLE Key Exchange Against Quantum Threats
Cook over IP: Adapting TCP for Cordless Kitchen Appliances
VShare: A Wireless Social Network Aided Vehicle Sharing System Using Hierarchical Cloud Architecture
Demo Abstract: PrivacyCube: A Tangible Device for Improving Privacy Awareness in IoT
Hardware-Based Online Self-Diagnosis for Faulty Device Identification in Large-Scale IoT Systems
Demo Abstract: Implementing SNOW on Commercial Off-The-Shelf Devices
Brume - A Horizontally Scalable and Fault Tolerant Building Operating System
A human-centered wearable sensing platform with intelligent automated data annotation capabilities
Design of Scalable IoT Platform Using Hazard Sensor, Open and Social Data
CTJammer: A Cross-Technology Reactive Jammer towards Unlicensed LTE
A Transfer Learning Framework for IoT-enabled Environments
Reliable industrial IoT-based distributed automation
LOIS: Low-cost Packet Header Protection for IoT Devices
Poster Abstract: Implementing Dynamic User Equilibrium in a Scaled City Environment with Duckietown and SUMO
Poster Abstract: Ensuring Low-Latency and Scalable Data Dissemination for Smart-City Applications
Design and Optimization of Traffic-Aware TSCH Scheduling for Mobile 6TiSCH Networks
Adaptive industrial IOT/CPS messaging strategies for improved edge compute utility
Demo Abstract: PARROT: Privacy by Design Tool for Internet of Things
When Video meets Inertial Sensors: Zero-shot Domain Adaptation for Finger Motion Analytics with Inertial Sensors
Incremental Anomaly Detection with Guarantee in the Internet of Medical Things
One-to-Many Data Transmission for Smart Devices at Close Range
ImageBeacon: Broadcasting Color Images over Connectionless Bluetooth LE Packets
Context Intelligence in Pervasive Environments: Poster Abstract
EdgeML: An AutoML Framework for Real-Time Deep Learning on the Edge
ASLRing: American Sign Language Recognition with Meta-Learning on Wearables
Practical Cryptographic Forensic Tools for Lightweight Internet of Things and Cold Storage Systems
Maximizing Accuracy of Fall Detection and Alert Systems Based on 3D Convolutional Neural Network: Poster Abstract
Where's The Bear?: Automating Wildlife Image Processing Using IoT and Edge Cloud Systems
Demo Abstract: Enabling Inter-SNOW Concurrent P2P Communications
Poster Abstract: O-RAN Signaling Optimizations for Improved IoT Handover Performance in 5G Networks
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
Cracking the channel hopping sequences in IEEE 802.15.4e-based industrial TSCH networks
World of Empowered IoT Users
Learning Execution Contexts from System Call Distribution for Anomaly Detection in Smart Embedded System
Real-Time Multimodal Cognitive Assistant for Emergency Medical Services
Demo Abstract: Smart Urban Services Platform a Flexible Solution for Smart Cities
Demo Abstract: More Than Two Decades of IoT
Tooth brushing Recognition using Neural Networks: Poster Abstract
Supporting fog/edge-based cognitive assistance IoT services for the visually impaired: poster abstract
Optimal Distributed Bandwidth Allocation in NB-IoT Networks: Poster Abstract
LightEQ: On-Device Earthquake Detection with Embedded Machine Learning
UnTran: Recognizing Unseen Activities with Unlabeled Data Using Transfer Learning
QuIC-IoT: Model-Driven Short-Term IoT Deployment for Monitoring Physical Phenomena
Poster Abstract: Run-time Dynamic WCET Estimation
IoT-enabled traffic analysis: a case study
Neural sensor translation: poster abstract
QUILT: quality inference from living digital twins in IoT-enabled manufacturing systems
The Application of Telematics and Smart Devices in Emergencies: Use Cases in Next Generation Emergency Services
Motion-Triggered Surveillance Camera using MF-IoT: Demo Abstract
Detecting Label Errors in Crowd-Sourced Smartphone Sensor Data
Proceedings of the Workshop on Fog Computing and the IoT, IoT-Fog@IoTDI 2019, Montreal, QC, Canada, April 15, 2019
Rim: Offloading Inference to the Edge
SEHS: Simultaneous Energy Harvesting and Sensing Using Piezoelectric Energy Harvester
Enhancing Dependability of Cloud-Based IoT Services through Virtualization
Realizing the Full Potential of (Infra-)Structures for Inter-Agency Communication Before, During, and After Disasters Using the Example of APAN (All-Partners Access Network)
Learning Context-Aware Policies from Multiple Smart Homes via Federated Multi-Task Learning
Fifth IEEE/ACM International Conference on Internet-of-Things Design and Implementation, IoTDI 2020, Sydney, Australia, April 21-24, 2020
Don't Talk Unless I Say So! Securing the Internet of Things with Default-Off Networking
Handling Jamming Attacks in a LoRa Network
On-demand Information Retrieval from Videos Using Deep Learning in Wireless Networks: Demo Abstract
Privacy Preserving, Crowd Sourced Crime Hawkes Processes
First IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016, Berlin, Germany, April 4-8, 2016
Fairguard: Harness Logic-based Fairness Rules in Smart Cities
Veracity Enriched Event Extraction
Design of Intelligent Software Systems for Cyber-Physical Systems: Poster Abstract
Poster Abstract: Light-Weight Real-Time Senior Safety Monitoring using Digital Twins
Hardware based identification for Intelligent Electronic Devices
Control Improvisation with Probabilistic Temporal Specifications
Analysis of Driver Behavior in Times of Crisis
SMChain: a scalable blockchain protocol for secure metering systems in distributed industrial plants
Poster Abstract: Secure Remote Key Initialization of Wireless IoT
Poster Abstract: DeepRT: A Predictable Deep Learning Inference Framework for IoT Devices
2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation, IoTDI 2018, Orlando, FL, USA, April 17-20, 2018
Leveraging Physical Locality to Integrate Smart Appliances in Non-Residential Buildings with Ultrasound and Bluetooth Low Energy
DaRe: Data Recovery through Application Layer Coding for LoRaWAN