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[1]
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Missing Value Imputation of Wireless Sensor Data for Environmental Monitoring
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Sensors,
2024 |
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[2]
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Temporal rainfall variability and drought characterization in Cheleka Watershed, Awash River Basin, Ethiopia
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Journal of Hydrology: Regional …,
2024 |
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[3]
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A practical approach for missing wireless sensor networks data recovery
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China Communications,
2024 |
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[4]
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Deep compressed sensing based data imputation for urban environmental monitoring
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ACM Transactions on Sensor …,
2023 |
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[5]
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Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph-and Attention-Based Approach
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IEEE/ACM Transactions …,
2023 |
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[6]
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Cost-Efficient Vehicular Crowdsensing Based on Implicit Relation Aware Graph Attention Networks
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IEEE Transactions on …,
2023 |
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[7]
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Vehicular Crowdsensing Inference and Prediction With Multi-Task Pre-Training Graph Transformer Networks
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IEEE Internet of Things Journal,
2023 |
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[8]
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Manufacturing Letters
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2023 |
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[9]
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Reconstructing Damaged Data in AIS and Other Telecommunications Systems: A Survey
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Scientific Journal of Gdynia Maritime …,
2023 |
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[10]
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AI-enabled modeling and monitoring of data-rich advanced manufacturing systems
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2023 |
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[11]
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Enhanced Belief Function-Based Decision Blending for Detecting Fault in Wireless Sensor Networks
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Constraint Decision-Making …,
2023 |
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[12]
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Enhancing performance of big data applying similarity over detected community
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Универзитет у Београду,
2023 |
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[13]
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Deep probabilistic graphical modeling for robust multivariate time series anomaly detection with missing data
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Reliability Engineering & System Safety,
2023 |
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[14]
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Missing signal imputation for multi-channel sensing signals on rotary machinery by tensor factorization
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Manufacturing …,
2023 |
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[15]
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Long gaps missing IoT sensors time series data imputation: a bayesian gaussian approach
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IEEE …,
2022 |
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[16]
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Imputation of Missing PM2.5 Observations in a Network of Air Quality Monitoring Stations by a New kNN Method
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Atmosphere,
2022 |
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[17]
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MTTPRE: a multi-scale spatial-temporal model for travel time prediction
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Proceedings of the 30th …,
2022 |
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[18]
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A Survey of Sparse Mobile Crowdsensing: Developments and Opportunities
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IEEE Open Journal of the …,
2022 |
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[19]
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Recovery Algorithm of Power Metering Data Based on Collaborative Fitting
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Energies,
2022 |
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[20]
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Critical Comparison of Data Imputation Techniques at IoT Edge
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International Symposium on …,
2022 |
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[21]
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DA-Bi-SRU for water quality prediction in smart mariculture
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Computers and Electronics in …,
2022 |
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[22]
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Causal Feature Selection with Missing Data
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… Transactions on Knowledge Discovery from Data …,
2022 |
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[23]
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Evaluation of Odor Prediction Model Performance and Variable Importance according to Various Missing Imputation Methods
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Applied Sciences,
2022 |
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[24]
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Handling Missing Data with Markov Boundary
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… on Advanced Data …,
2022 |
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[25]
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Link quality estimation based on over-sampling and weighted random forest
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Computer Science and Information …,
2022 |
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[26]
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Online Missing Data Imputation Using Virtual Temporal Neighbor in Wireless Sensor Networks
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Wireless Communications and …,
2022 |
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[27]
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Impacts of missing data in risk management
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2021 |
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[28]
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Enabling Reliable and Efficient Data Transfer for Internet of Things Applications
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2021 |
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[29]
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A Recursive Method for Estimating Missing Data in Spatio-Temporal Applications
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IEEE Transactions on Industrial Informatics,
2021 |
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[30]
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Missing Data Reconstruction Based on Spectral k-Support Norm Minimization for NB-IoT Data
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Mathematical Problems in Engineering,
2021 |
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[31]
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Temporal and spatial nearest neighbor values based missing data imputation in wireless sensor networks
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2021 |
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[32]
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Cost-Effective Active Sparse Urban Sensing: An Adversarial Auto-Encoder Approach
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2021 |
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[33]
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To Tolerate or To Impute Missing Values in V2X Communications Data?
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2021 |
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[34]
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A Missing Type-Aware Adaptive Interpolation Framework for Sensor Data
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IEEE Transactions on …,
2021 |
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[35]
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Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study
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Sensors,
2021 |
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[36]
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Spatial epidemiology of diseases of the nervous system: A Machine Learning approach
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2021 |
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[37]
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Missing Data Inference for Crowdsourced Radio Map Construction: An Adversarial Auto-Encoder Method
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2021 |
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[38]
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A New Regularized Recursive Dynamic Factor Analysis with Variable Forgetting Factor and Subspace Dimension for Wireless Sensor Networks with Missing Data
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2021 |
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[39]
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Missing Value Imputation for Multi-view Urban Statistical Data via Spatial Correlation Learning
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2021 |
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[40]
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iDEG: integrated data and energy gathering for wireless systems
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2021 |
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[41]
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Network-wide Spatio-Temporal Predictive Learning for the Intelligent Transportation System
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2020 |
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[42]
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Missing Data Imputation with Bayesian Maximum Entropy for Internet of Things Applications
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2020 |
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[43]
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Smart Sensing for Container Trucks
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2020 |
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[44]
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Thirty years of machine learning: The road to Pareto-optimal wireless networks
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2020 |
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[45]
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A method overview in smart aquaculture
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2020 |
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[46]
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Sequence Imputation using Machine Learning with Early Stopping Mechanism
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2020 |
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[47]
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Introducing Machine Learning to Wireless Sensor Networks: Requirements and Applications
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2020 |
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[48]
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Runtime Control of LoRa Spreading Factor for Campus Shuttle Monitoring
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2020 |
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[49]
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EGCIR: Energy-Aware Graph Clustering and Intelligent Routing Using Supervised System in Wireless Sensor Networks
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2020 |
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[50]
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A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data
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2020 |
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[51]
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Multivariable data imputation for the analysis of incomplete credit data
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2020 |
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[52]
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Automatic Thresholding for Sensor Data Gap Detection Using Statistical Approach
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2020 |
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[53]
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Imputing Block of Missing Data Using Deep Autoencoder
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2020 |
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[54]
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Combining multiple imputation and control function methods to deal with missing data and endogeneity in discrete-choice models
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2020 |
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[55]
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Machines' Fault Detection and Tolerance Using Big Data Management
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2019 |
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[56]
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IoT Data Validation Using Spatial and Temporal Correlations
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2019 |
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[57]
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Missing value imputation using a novel grey based fuzzy c-means, mutual information based feature selection, and regression model
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Expert Systems with Applications,
2019 |
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[58]
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Correlation Analysis and Statistical Characterization of Heterogeneous Sensor Data in Environmental Sensor Networks
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2019 |
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[59]
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Energy-efficient data gathering algorithm relying on compressive sensing in lossy WSNs
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2019 |
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[60]
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Ensuring analyzing and monetization of data using data science and blockchain in loT devices
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2019 |
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[61]
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Energy-Efficient Approximate Data Collection and BP-Based Reconstruction in UWSNs
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2019 |
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[62]
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Robust Distributed Parameter Estimation of Nonlinear Systems with Missing Data over Networks
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2019 |
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[63]
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iDEG: Integrated Data and Energy Gathering Framework for Practical Wireless Sensor Networks Using Compressive Sensing
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2019 |
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[64]
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Thirty Years of Machine Learning: The Road to Pareto-Optimal Next-Generation Wireless Networks
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2019 |
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[65]
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Privacy-aware Controllable Compressed Data Publishing against Sparse Estimation Attack in Internet of Things
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2019 |
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[66]
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Increasing The Precision Of Noise Source Detection System using KNN Method
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2019 |
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[67]
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An RNN-based Delay-guaranteed Monitoring Framework in Underwater Wireless Sensor Networks
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2019 |
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[68]
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Machine Learning Algorithms and Fault Detection for Improved Belief Function Based Decision Fusion in Wireless Sensor Networks
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2019 |
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[69]
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Profiling-Based Classification Algorithms for Security Applications in Internet of Things
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2019 |
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[70]
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A Study of Simple Partially-Recovered Sensor Data Imputation Methods
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2019 |
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[71]
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diagnosis in building: new challenges
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2019 |
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[72]
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Denoising Recurrent Neural Networks for Classifying Crash-Related Events
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2019 |
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[73]
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Correlation Analysis of Multimodal Sensor Data in Environmental Sensor Networks
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2019 |
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[74]
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A Review of Missing Sensor Data Imputation Methods
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2019 |
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[75]
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Εξόρυξη δεδομένων στο διαδίκτυο των πραγμάτων
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2019 |
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[76]
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diagnostic du système bâtiment: nouveaux défis
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2019 |
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[77]
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Sampling, qualification and analysis of data streams
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2018 |
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[78]
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PCI-MDR: Missing Data Recovery in Wireless Sensor Networks using Partial Canonical Identity Matrix
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2018 |
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[79]
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Privacy-aware data publishing against sparse estimation attack
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Journal of Network and Computer Applications,
2018 |
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[80]
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Deep Learning of Virtual Marine Sensors
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Dissertation,
2018 |
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Multi-attribute Missing Data Reconstruction Based on Adaptive Weighted Nuclear Norm Minimization in IoT
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2018 |
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[82]
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Reconstruction of Missing Big Sensor Data
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2017 |
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[83]
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An Agricultural Sensor Data Recovering Method Based on Matrix Completion Theory
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2017 |
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[84]
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Missing value estimation for microarray data through cluster analysis
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Knowledge and Information Systems,
2017 |
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[85]
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Predicting Missing Values in Wireless Sensor Network using Spatial-Temporal Correlation
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2017 |
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[86]
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Missing Data Estimation Algorithm Based on Temporal Correlation in Wireless Sensor Networks
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2017 |
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[87]
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Interpolating the Missing Values for Multi-Dimensional Spatial-Temporal Sensor Data: A Tensor SVD Approach
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2017 |
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[88]
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A new regularized recursive dynamic factor analysis with variable forgetting factor for wireless sensor networks with missing data
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2017 |
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[89]
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Recover Missing Sensor Data with Iterative Imputing Network
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2017 |
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[90]
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kNN ensembles with penalized DTW for multivariate time series imputation
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2016 |
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[91]
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无线传感器网络中基于灰色关联度的丢失数据估算算法
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福建电脑,
2016 |
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[92]
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ST-MVL: Filling Missing Values in Geo-sensory Time Series Data
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2016 |
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[93]
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Missing data: On criteria to evaluate imputation methods
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2016 |
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[94]
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Восстановление пропущенных значений в разнородных шкалах с большим числом пропусков
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Machine Learning,
2015 |
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[95]
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A benchmark for spatial and temporal correlation based data prediction in wireless sensor networks
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Intelligent Systems: Theories and Applications (SITA), 2015 10th International Conference on,
2015 |
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基于属性相关性的无线传感网络缺失数据估计方法
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计算机应用,
2015 |
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[97]
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Coverage Aware Scheduling in Wireless Sensor Networks: An Optimal Placement Approach
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Wireless Personal Communications,
2015 |
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基于属性相关性的无线传感网络缺失值估计方法
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2015 |
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Recommending missing sensor values
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2015 |
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Using temporal correlation and time series to detect missing activity-driven sensor events
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2015 |
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An Optimal Linear Predictive Model for Missing Data Estimation in Wireless Sensor Network
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International Journal of Innovative Research in Computer and Communication Engineering,
2015 |
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核电厂环境辐射监测传感器网络中缺失值的粒子群算法-最小二乘支持向量机估计算法
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核电子学与探测技术,
2014 |
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Determining missing values in dimension incomplete databases using spatial-temporal correlation techniques
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Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference,
2014 |
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No-sense: Sense with dormant sensors
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Communications (NCC), 2014 Twentieth National Conference on. IEEE,
2014 |
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A GS-MPSO-WKNN method for missing data imputation in wireless sensor networks monitoring manufacturing conditions
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Transactions of the Institute of Measurement and Control,
2014 |
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Transactions of the Institute of
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Measurement and Control,
2014 |
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Particle swarm optimization least square support machine based missing data imputation algorithm in wireless sensor network for nuclear power plant's environmental …
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Advanced Materials Research,
2013 |
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CIAM: An adaptive 2-in-1 missing data estimation algorithm in wireless sensor networks
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Networks (ICON), 2013 19th IEEE International Conference on. IEEE,
2013 |
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A Hybrid Approach for Improving the Data Quality of Mobile Phone Sensing
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International Journal of Distributed Sensor Networks.Hindawi Publishing Corporation ,
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An Estimation Model of Missing Data for Smart Phone Sensing
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Model-based Transmission Reduction and Virtual Sensing in Wireless Sensor Networks
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Thesis,
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农业物联网应用发展研究
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广东农业科学,
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计算机学报,
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基于 SVM 的核电站环境辐射监测网络中传感器节点缺失值估计算法
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南华大学学报: 自然科学版,
2012 |
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Dispersion–based prediction framework for estimating missing values in wireless sensor networks
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International Journal of Sensor Networks,
2012 |
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Collaborative estimation of environmental parameters
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Proceedings of the 11th WSEAS international conference on Instrumentation, Measurement, Circuits and Systems, and Proceedings of,
2012 |
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LSSVM based missing data imputation in nuclear power plant's environmental radiation monitor sensor network
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Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on. IEEE,
2012 |
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