[1]
|
Deep Compressed Sensing based Data Imputation for Urban Environmental Monitoring
ACM Transactions on Sensor Networks,
2024
DOI:10.1145/3599236
|
|
|
[2]
|
Vehicular Crowdsensing Inference and Prediction With Multi Training Graph Transformer Networks
IEEE Internet of Things Journal,
2024
DOI:10.1109/JIOT.2023.3305006
|
|
|
[3]
|
Temporal rainfall variability and drought characterization in Cheleka Watershed, Awash River Basin, Ethiopia
Journal of Hydrology: Regional Studies,
2024
DOI:10.1016/j.ejrh.2024.101663
|
|
|
[4]
|
Missing signal imputation for multi-channel sensing signals on rotary machinery by tensor factorization
Manufacturing Letters,
2023
DOI:10.1016/j.mfglet.2023.08.097
|
|
|
[5]
|
Deep probabilistic graphical modeling for robust multivariate time series anomaly detection with missing data
Reliability Engineering & System Safety,
2023
DOI:10.1016/j.ress.2023.109410
|
|
|
[6]
|
Constraint Decision-Making Systems in Engineering
Advances in Computational Intelligence and Robotics,
2023
DOI:10.4018/978-1-6684-7343-6.ch006
|
|
|
[7]
|
Causal Feature Selection with Missing Data
ACM Transactions on Knowledge Discovery from Data,
2022
DOI:10.1145/3488055
|
|
|
[8]
|
Link quality estimation based on over-sampling and weighted random forest
Computer Science and Information Systems,
2022
DOI:10.2298/CSIS201218041L
|
|
|
[9]
|
DA-Bi-SRU for water quality prediction in smart mariculture
Computers and Electronics in Agriculture,
2022
DOI:10.1016/j.compag.2022.107219
|
|
|
[10]
|
Long Gaps Missing IoT Sensors Time Series Data Imputation: A Bayesian Gaussian Approach
IEEE Access,
2022
DOI:10.1109/ACCESS.2022.3218785
|
|
|
[11]
|
Imputation of Missing PM2.5 Observations in a Network of Air Quality Monitoring Stations by a New kNN Method
Atmosphere,
2022
DOI:10.3390/atmos13111934
|
|
|
[12]
|
Advanced Data Mining and Applications
Lecture Notes in Computer Science,
2022
DOI:10.1007/978-3-031-22064-7_24
|
|
|
[13]
|
A Recursive Method for Estimating Missing Data in Spatio-Temporal Applications
IEEE Transactions on Industrial Informatics,
2022
DOI:10.1109/TII.2021.3100501
|
|
|
[14]
|
Causal Feature Selection with Missing Data
ACM Transactions on Knowledge Discovery from Data,
2022
DOI:10.1145/3488055
|
|
|
[15]
|
Online Missing Data Imputation Using Virtual Temporal Neighbor in Wireless Sensor Networks
Wireless Communications and Mobile Computing,
2022
DOI:10.1155/2022/4909476
|
|
|
[16]
|
Recovery Algorithm of Power Metering Data Based on Collaborative Fitting
Energies,
2022
DOI:10.3390/en15041570
|
|
|
[17]
|
Evaluation of Odor Prediction Model Performance and Variable Importance according to Various Missing Imputation Methods
Applied Sciences,
2022
DOI:10.3390/app12062826
|
|
|
[18]
|
Intelligent Distributed Computing XIV
Studies in Computational Intelligence,
2022
DOI:10.1007/978-3-030-96627-0_4
|
|
|
[19]
|
To Tolerate or To Impute Missing Values in V2X Communications Data?
IEEE Internet of Things Journal,
2022
DOI:10.1109/JIOT.2021.3126749
|
|
|
[20]
|
A Survey of Sparse Mobile Crowdsensing: Developments and Opportunities
IEEE Open Journal of the Computer Society,
2022
DOI:10.1109/OJCS.2022.3177290
|
|
|
[21]
|
A Survey of Sparse Mobile Crowdsensing: Developments and Opportunities
IEEE Open Journal of the Computer Society,
2022
DOI:10.1109/OJCS.2022.3177290
|
|
|
[22]
|
To Tolerate or To Impute Missing Values in V2X Communications Data?
IEEE Internet of Things Journal,
2022
DOI:10.1109/JIOT.2021.3126749
|
|
|
[23]
|
MTTPRE
Proceedings of the 30th International Conference on Advances in Geographic Information Systems,
2022
DOI:10.1145/3557915.3560986
|
|
|
[24]
|
MTTPRE
Proceedings of the 30th International Conference on Advances in Geographic Information Systems,
2022
DOI:10.1145/3557915.3560986
|
|
|
[25]
|
DA-Bi-SRU for water quality prediction in smart mariculture
Computers and Electronics in Agriculture,
2022
DOI:10.1016/j.compag.2022.107219
|
|
|
[26]
|
DA-Bi-SRU for water quality prediction in smart mariculture
Computers and Electronics in Agriculture,
2022
DOI:10.1016/j.compag.2022.107219
|
|
|
[27]
|
DA-Bi-SRU for water quality prediction in smart mariculture
Computers and Electronics in Agriculture,
2022
DOI:10.1016/j.compag.2022.107219
|
|
|
[28]
|
Missing Value Imputation for Multi-view Urban Statistical Data via Spatial Correlation Learning
IEEE Transactions on Knowledge and Data Engineering,
2021
DOI:10.1109/TKDE.2021.3072642
|
|
|
[29]
|
Missing Data Imputation With Bayesian Maximum Entropy for Internet of Things Applications
IEEE Internet of Things Journal,
2021
DOI:10.1109/JIOT.2020.2987979
|
|
|
[30]
|
International Conference on Mobile Computing and Sustainable Informatics
EAI/Springer Innovations in Communication and Computing,
2021
DOI:10.1007/978-3-030-49795-8_66
|
|
|
[31]
|
Temporal and Spatial Nearest Neighbor Values Based Missing Data Imputation in Wireless Sensor Networks
Sensors,
2021
DOI:10.3390/s21051782
|
|
|
[32]
|
Missing Data Inference for Crowdsourced Radio Map Construction: An Adversarial Auto-Encoder Method
2021 IEEE Wireless Communications and Networking Conference (WCNC),
2021
DOI:10.1109/WCNC49053.2021.9417253
|
|
|
[33]
|
A New Regularized Recursive Dynamic Factor Analysis With Variable Forgetting Factor and Subspace Dimension for Wireless Sensor Networks With Missing Data
IEEE Transactions on Instrumentation and Measurement,
2021
DOI:10.1109/TIM.2021.3083889
|
|
|
[34]
|
Cost-Effective Active Sparse Urban Sensing: Adversarial Autoencoder Approach
IEEE Internet of Things Journal,
2021
DOI:10.1109/JIOT.2021.3060815
|
|
|
[35]
|
A Missing Type-Aware Adaptive Interpolation Framework for Sensor Data
IEEE Transactions on Instrumentation and Measurement,
2021
DOI:10.1109/TIM.2021.3089783
|
|
|
[36]
|
Missing Data Reconstruction Based on Spectral k-Support Norm Minimization for NB-IoT Data
Mathematical Problems in Engineering,
2021
DOI:10.1155/2021/1336900
|
|
|
[37]
|
Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study
Sensors,
2021
DOI:10.3390/s21237774
|
|
|
[38]
|
Runtime Control of LoRa Spreading Factor for Campus Shuttle Monitoring
2020 IEEE 28th International Conference on Network Protocols (ICNP),
2020
DOI:10.1109/ICNP49622.2020.9259383
|
|
|
[39]
|
Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks
Advances in Information Security, Privacy, and Ethics,
2020
DOI:10.4018/978-1-7998-5068-7.ch001
|
|
|
[40]
|
A method overview in smart aquaculture
Environmental Monitoring and Assessment,
2020
DOI:10.1007/s10661-020-08409-9
|
|
|
[41]
|
Sustainability in Energy and Buildings
Smart Innovation, Systems and Technologies,
2020
DOI:10.1007/978-981-32-9868-2_39
|
|
|
[42]
|
Robust Distributed Parameter Estimation of Nonlinear Systems With Missing Data Over Networks
IEEE Transactions on Aerospace and Electronic Systems,
2020
DOI:10.1109/TAES.2019.2948515
|
|
|
[43]
|
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks
IEEE Communications Surveys & Tutorials,
2020
DOI:10.1109/COMST.2020.2965856
|
|
|
[44]
|
EGCIR: Energy-Aware Graph Clustering and Intelligent Routing Using Supervised System in Wireless Sensor Networks
Energies,
2020
DOI:10.3390/en13164072
|
|
|
[45]
|
Smart Sensing for Container Trucks
2020 6th International Conference on Big Data Computing and Communications (BIGCOM),
2020
DOI:10.1109/BigCom51056.2020.00007
|
|
|
[46]
|
Sequence Imputation using Machine Learning with Early Stopping Mechanism
2020 International Conference on Computational Performance Evaluation (ComPE),
2020
DOI:10.1109/ComPE49325.2020.9200099
|
|
|
[47]
|
Combining multiple imputation and control function methods to deal with missing data and endogeneity in discrete-choice models
Transportation Research Part B: Methodological,
2020
DOI:10.1016/j.trb.2020.10.002
|
|
|
[48]
|
Multivariable data imputation for the analysis of incomplete credit data
Expert Systems with Applications,
2020
DOI:10.1016/j.eswa.2019.112926
|
|
|
[49]
|
Denoising Recurrent Neural Networks for Classifying Crash-Related Events
IEEE Transactions on Intelligent Transportation Systems,
2020
DOI:10.1109/TITS.2019.2921722
|
|
|
[50]
|
An RNN-Based Delay-Guaranteed Monitoring Framework in Underwater Wireless Sensor Networks
IEEE Access,
2019
DOI:10.1109/ACCESS.2019.2899916
|
|
|
[51]
|
iDEG: Integrated Data and Energy Gathering Framework for Practical Wireless Sensor Networks Using Compressive Sensing
IEEE Sensors Journal,
2019
DOI:10.1109/JSEN.2018.2878788
|
|
|
[52]
|
A Study of Simple Partially-Recovered Sensor Data Imputation Methods
2019 15th International Conference on Network and Service Management (CNSM),
2019
DOI:10.23919/CNSM46954.2019.9012748
|
|
|
[53]
|
Correlation Analysis of Multimodal Sensor Data in Environmental Sensor Networks
2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS),
2019
DOI:10.1109/ANTS47819.2019.9118157
|
|
|
[54]
|
Smart Computing and Communication
Lecture Notes in Computer Science,
2019
DOI:10.1007/978-3-030-34139-8_10
|
|
|
[55]
|
Metadata and Semantic Research
Communications in Computer and Information Science,
2019
DOI:10.1007/978-3-030-36599-8_7
|
|
|
[56]
|
A Review of Missing Sensor Data Imputation Methods
2019 5th International Conference on Science and Technology (ICST),
2019
DOI:10.1109/ICST47872.2019.9166287
|
|
|
[57]
|
Machine Learning Algorithms and Fault Detection for Improved Belief Function Based Decision Fusion in Wireless Sensor Networks
Sensors,
2019
DOI:10.3390/s19061334
|
|
|
[58]
|
PCI-MDR: Missing Data Recovery in Wireless Sensor Networks Using Partial Canonical Identity Matrix
IEEE Wireless Communications Letters,
2019
DOI:10.1109/LWC.2018.2882403
|
|
|
[59]
|
Energy-efficient data gathering algorithm relying on compressive sensing in lossy WSNs
Measurement,
2019
DOI:10.1016/j.measurement.2019.106875
|
|
|
[60]
|
Privacy-Aware Controllable Compressed Data Publishing Against Sparse Estimation Attack in IoT
IEEE Internet of Things Journal,
2019
DOI:10.1109/JIOT.2019.2916109
|
|
|
[61]
|
Profiling-Based Classification Algorithms for Security Applications in Internet of Things
2019 IEEE International Congress on Internet of Things (ICIOT),
2019
DOI:10.1109/ICIOT.2019.00033
|
|
|
[62]
|
Correlation analysis and statistical characterization of heterogeneous sensor data in environmental sensor networks
Computer Networks,
2019
DOI:10.1016/j.comnet.2019.106902
|
|
|
[63]
|
Privacy-aware data publishing against sparse estimation attack
Journal of Network and Computer Applications,
2018
DOI:10.1016/j.jnca.2018.02.016
|
|
|
[64]
|
Missing value imputation using a novel grey based fuzzy c-means, mutual information based feature selection, and regression model
Expert Systems with Applications,
2018
DOI:10.1016/j.eswa.2018.07.057
|
|
|
[65]
|
Multi-Attribute Missing Data Reconstruction Based on Adaptive Weighted Nuclear Norm Minimization in IoT
IEEE Access,
2018
DOI:10.1109/ACCESS.2018.2876701
|
|
|
[66]
|
A new regularized recursive dynamic factor analysis with variable forgetting factor for wireless sensor networks with missing data
2017 IEEE International Symposium on Circuits and Systems (ISCAS),
2017
DOI:10.1109/ISCAS.2017.8050594
|
|
|
[67]
|
Interpolating the Missing Values for Multi-Dimensional Spatial-Temporal Sensor Data
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services,
2017
DOI:10.1145/3144457.3144474
|
|
|
[68]
|
kNN ensembles with penalized DTW for multivariate time series imputation
2016 International Joint Conference on Neural Networks (IJCNN),
2016
DOI:10.1109/IJCNN.2016.7727549
|
|
|
[69]
|
A benchmark for spatial and temporal correlation based data prediction in wireless sensor networks
2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA),
2015
DOI:10.1109/SITA.2015.7358441
|
|
|
[70]
|
Coverage Aware Scheduling in Wireless Sensor Networks: An Optimal Placement Approach
Wireless Personal Communications,
2015
DOI:10.1007/s11277-015-2862-8
|
|
|
[71]
|
Using temporal correlation and time series to detect missing activity-driven sensor events
2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops),
2015
DOI:10.1109/PERCOMW.2015.7133991
|
|
|
[72]
|
Recommending missing sensor values
2015 IEEE International Conference on Big Data (Big Data),
2015
DOI:10.1109/BigData.2015.7363779
|
|
|
[73]
|
Determining missing values in dimension incomplete databases using spatial-temporal correlation techniques
2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies,
2014
DOI:10.1109/ICACCCT.2014.7019157
|
|
|
[74]
|
No-sense: Sense with dormant sensors
2014 Twentieth National Conference on Communications (NCC),
2014
DOI:10.1109/NCC.2014.6811303
|
|
|
[75]
|
A GS-MPSO-WKNN method for missing data imputation in wireless sensor networks monitoring manufacturing conditions
Transactions of the Institute of Measurement and Control,
2014
DOI:10.1177/0142331214534291
|
|
|
[76]
|
An Estimation Model of Missing Data for Smart Phone Sensing
The Journal of the Institute of Webcasting, Internet and Telecommunication,
2013
DOI:10.7236/JIIBC.2013.13.3.33
|
|
|
[77]
|
A Hybrid Approach for Improving the Data Quality of Mobile Phone Sensing
International Journal of Distributed Sensor Networks,
2013
DOI:10.1155/2013/786594
|
|
|
[78]
|
CIAM: An adaptive 2-in-1 missing data estimation algorithm in wireless sensor networks
2013 19th IEEE International Conference on Networks (ICON),
2013
DOI:10.1109/ICON.2013.6781986
|
|
|
[79]
|
LSSVM based missing data imputation in nuclear power plant's environmental radiation monitor sensor network
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI),
2012
DOI:10.1109/ICACI.2012.6463210
|
|
|
[80]
|
Particle Swarm Optimization Least Square Support Machine Based Missing Data Imputation Algorithm in Wireless Sensor Network for Nuclear Power Plant’s Environmental Radiation Monitor
Advanced Materials Research,
2012
DOI:10.4028/www.scientific.net/AMR.605-607.2137
|
|
|