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Intelligent Edge-powered Data Reduction: A Systematic Literature Review
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1 of the 98 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s00500-020-04804-z (notice 2024-08-13).
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/dac.4812openalex-snapshot
A fog computing data reduce level to enhance the cloud of things performance
inferredcites →https://doi.org/10.1002/j.1538-7305.1948.tb01338.xopenalex-snapshot
A Mathematical Theory of Communication
inferredcites →https://doi.org/10.1007/978-3-030-57321-8_29openalex-snapshot
An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge
inferredcites →https://doi.org/10.1007/978-3-031-10551-7_17openalex-snapshot
Achieving Energy Efficiency in Life-Logging Applications of Internet of Things Using Data Compression Through Incorporation of Machine Learning and Edge-Cloud Architecture
inferredcites →https://doi.org/10.1007/978-3-642-29044-2openalex-snapshot
Experimentation in Software Engineering
inferredcites →https://doi.org/10.1007/s00500-020-04804-zopenalex-snapshot
RETRACTED ARTICLE: Huffman quantization approach for optimized EEG signal compression with transformation technique
inferredcites →https://doi.org/10.1007/s00607-020-00864-zopenalex-snapshot
K-predictions based data reduction approach in WSN for smart agriculture
inferredcites →https://doi.org/10.1007/s00607-022-01073-6openalex-snapshot
An overview of data reduction solutions at the edge of IoT systems: a systematic mapping of the literature
inferredcites →https://doi.org/10.1007/s11036-022-01918-6openalex-snapshot
Efficient Lossy Compression for IoT Using SZ and Reconstruction with 1D U-Net
inferredcites →https://doi.org/10.1007/s12652-021-03161-5openalex-snapshot
New fog computing enabled lossless EEG data compression scheme in IoT networks
inferredcites →https://doi.org/10.1016/j.biosystemseng.2021.12.021openalex-snapshot
Data reduction based on machine learning algorithms for fog computing in IoT smart agriculture
inferredcites →https://doi.org/10.1016/j.bspc.2020.102225openalex-snapshot
A novel dimensionality reduction approach for ECG signal via convolutional denoising autoencoder with LSTM
inferredcites →https://doi.org/10.1016/j.cmpb.2019.03.009openalex-snapshot
Algorithmic clustering based on string compression to extract P300 structure in EEG signals
inferredcites →https://doi.org/10.1016/j.compeleceng.2021.107121openalex-snapshot
Efficient neural networks for edge devices
inferredcites →https://doi.org/10.1016/j.dcan.2018.10.008openalex-snapshot
Enabling intelligence in fog computing to achieve energy and latency reduction
inferredcites →https://doi.org/10.1016/j.future.2019.02.005openalex-snapshot
An energy efficient IoT data compression approach for edge machine learning
inferredcites →https://doi.org/10.1016/j.future.2020.02.067openalex-snapshot
A prioritization approach for optimization of multiple concurrent sensing applications in smart cities
inferredcites →https://doi.org/10.1016/j.future.2020.06.013openalex-snapshot
Exploring the computational cost of machine learning at the edge for human-centric Internet of Things
inferredcites →https://doi.org/10.1016/j.future.2022.04.015openalex-snapshot
An edge–fog architecture for distributed 3D reconstruction
inferredcites →https://doi.org/10.1016/j.inffus.2020.01.006openalex-snapshot
Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective
inferredcites →https://doi.org/10.1016/j.iot.2022.100516openalex-snapshot
Lossy Data Compression for IoT Sensors: A Review
inferredcites →https://doi.org/10.1016/j.iot.2022.100629openalex-snapshot
Data reduction in fog computing and internet of things: A systematic literature survey
inferredcites →https://doi.org/10.1016/j.jnca.2020.102882openalex-snapshot
Fog data management: A vision, challenges, and future directions
inferredcites →https://doi.org/10.1016/j.knosys.2021.106775openalex-snapshot
A survey on federated learning
inferredcites →https://doi.org/10.1016/j.neucom.2021.02.105openalex-snapshot
An LSTM-based distributed scheme for data transmission reduction of IoT systems
inferredcites →https://doi.org/10.1016/j.procs.2022.12.267openalex-snapshot
An intelligent data capturing framework to improve condition monitoring and anomaly detection for industrial machines
inferredcites →https://doi.org/10.1109/3pgcic19606.2011openalex-snapshot
2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing
inferredcites →https://doi.org/10.1109/access.2019.2907808openalex-snapshot
Distributed Decomposed Data Analytics in Fog Enabled IoT Deployments
inferredcites →https://doi.org/10.1109/access.2021.3069137openalex-snapshot
Edge Intelligence for Data Handling and Predictive Maintenance in IIOT
inferredcites →https://doi.org/10.1109/access.2023.3244099openalex-snapshot
Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G
inferredcites →https://doi.org/10.1109/ancs48168.2019openalex-snapshot
2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS)
inferredcites →https://doi.org/10.1109/atsip49331.2020openalex-snapshot
2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
inferredcites →https://doi.org/10.1109/bdcat50828.2020openalex-snapshot
2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
inferredcites →https://doi.org/10.1109/bigdata.2017.8258215openalex-snapshot
Improving expectation maximization algorithm over stellar data
inferredcites →https://doi.org/10.1109/candar.2017.13openalex-snapshot
Compression and Aggregation for Optimizing Information Transmission in Distributed CNN
inferredcites →https://doi.org/10.1109/ccece47787.2020openalex-snapshot
2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
inferredcites →https://doi.org/10.1109/ccwc51732.2021openalex-snapshot
2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)
inferredcites →https://doi.org/10.1109/comst.2020.2970550openalex-snapshot
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/globecom42002.2020.9322132openalex-snapshot
2020 IEEE Global Communications Conference (GLOBECOM)
inferredcites →https://doi.org/10.1109/icc.2004.1312431openalex-snapshot
2004 IEEE International Conference on Communications - ICC 2004
inferredcites →https://doi.org/10.1109/iccis49240.2020openalex-snapshot
2020 2nd International Conference on Computer and Information Sciences (ICCIS)
inferredcites →https://doi.org/10.1109/icebe55470.2022openalex-snapshot
2022 IEEE International Conference on e-Business Engineering (ICEBE)
inferredcites →https://doi.org/10.1109/iconat57137.2023openalex-snapshot
2023 International Conference for Advancement in Technology (ICONAT)
inferredcites →https://doi.org/10.1109/iemtronics52119.2021openalex-snapshot
2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)
inferredcites →https://doi.org/10.1109/jiot.2019.2963635openalex-snapshot
Toward Edge-Based Deep Learning in Industrial Internet of Things
inferredcites →https://doi.org/10.1109/jiot.2020.2984887openalex-snapshot
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
inferredcites →https://doi.org/10.1109/jiot.2020.3039324openalex-snapshot
Dimension Reduction Algorithm Based on Adaptive Maximum Linear Neighborhood Selection in Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2021.3088875openalex-snapshot
A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things
inferredcites →https://doi.org/10.1109/jiot.2022.3168885openalex-snapshot
Cache-Assisted Collaborative Task Offloading and Resource Allocation Strategy: A Metareinforcement Learning Approach
inferredcites →https://doi.org/10.1109/jiot.2022.3182313openalex-snapshot
End-to-End Image Classification and Compression With Variational Autoencoders
inferredcites →https://doi.org/10.1109/jiot.2023.3348487openalex-snapshot
Deep Reinforcement Learning for Efficient IoT Data Compression in Smart Railroad Management
inferredcites →https://doi.org/10.1109/jproc.2019.2918951openalex-snapshot
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
inferredcites →https://doi.org/10.1109/jrproc.1952.273898openalex-snapshot
A Method for the Construction of Minimum-Redundancy Codes
inferredcites →https://doi.org/10.1109/jsen.2022.3199590openalex-snapshot
An Online Model to Minimize Energy Consumption of IoT Sensors in Smart Cities
inferredcites →https://doi.org/10.1109/jsen.2023.3278497openalex-snapshot
Multibiosensor Data Sampling and Transmission Reduction With Decision-Making for Remote Patient Monitoring in IoMT Networks
inferredcites →https://doi.org/10.1109/lsp.2021.3090249openalex-snapshot
Enhanced Separable Convolution Network for Lightweight JPEG Compression Artifacts Reduction
inferredcites →https://doi.org/10.1109/percom50583.2021openalex-snapshot
2021 IEEE International Conference on Pervasive Computing and Communications (PerCom)
inferredcites →https://doi.org/10.1109/smartiot52359.2021openalex-snapshot
2021 IEEE International Conference on Smart Internet of Things (SmartIoT)
inferredcites →https://doi.org/10.1109/spawc48557.2020openalex-snapshot
2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
inferredcites →https://doi.org/10.1109/tii.2022.3228777openalex-snapshot
BARRN: A Blind Image Compression Artifact Reduction Network for Industrial IoT Systems
inferredcites →https://doi.org/10.1109/tii.2023.3245673openalex-snapshot
To Transmit or Predict: An Efficient Industrial Data Transmission Scheme With Deep Learning and Cloud-Edge Collaboration
inferredcites →https://doi.org/10.1109/tim.2021.3123218openalex-snapshot
A Model-Driven Scheme to Compensate the Strain-Based Non-Intrusive Dynamic Pressure Measurement for Hydraulic Pipe
inferredcites →https://doi.org/10.1109/tit.1966.1053907openalex-snapshot
Run-length encodings (Corresp.)
inferredcites →https://doi.org/10.1109/tit.1977.1055714openalex-snapshot
A universal algorithm for sequential data compression
inferredcites →https://doi.org/10.1109/tkde.2021.3079836openalex-snapshot
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
inferredcites →https://doi.org/10.1109/tnnls.2021.3124370openalex-snapshot
A Feature-Enriched Deep Convolutional Neural Network for JPEG Image Compression Artifacts Reduction and its Applications
inferredcites →https://doi.org/10.1109/wf-iot48130.2020openalex-snapshot
2020 IEEE 6th World Forum on Internet of Things (WF-IoT)
inferredcites →https://doi.org/10.1145/1134285.1134500openalex-snapshot
Performing systematic literature reviews in software engineering
inferredcites →https://doi.org/10.1145/3300061openalex-snapshot
The 25th Annual International Conference on Mobile Computing and Networking
inferredcites →https://doi.org/10.1145/3356250openalex-snapshot
Proceedings of the 17th Conference on Embedded Networked Sensor Systems
inferredcites →https://doi.org/10.1145/3456630openalex-snapshot
On the Use of Intelligent Models towards Meeting the Challenges of the Edge Mesh
inferredcites →https://doi.org/10.1145/3485130openalex-snapshot
A Comprehensive Survey on Interoperability for IIoT: Taxonomy, Standards, and Future Directions
inferredcites →https://doi.org/10.1145/3522749openalex-snapshot
The 6th International Conference on Control Engineering and Artificial Intelligence
inferredcites →https://doi.org/10.1145/3528416.3530230openalex-snapshot
Enabling resource-efficient edge intelligence with compressive sensing-based deep learning
inferredcites →https://doi.org/10.1145/3544836openalex-snapshot
Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions
inferredcites →https://doi.org/10.1155/2021/5624909openalex-snapshot
Cross‐Model Transformer Method for Medical Image Synthesis
inferredcites →https://doi.org/10.1186/s13677-021-00254-6openalex-snapshot
Investigation into the effect of data reduction in offloadable task for distributed IoT-fog-cloud computing
inferredcites →https://doi.org/10.1504/ijesms.2021.115533openalex-snapshot
Intelligent healthcare data segregation using fog computing with internet of things and machine learning
inferredcites →https://doi.org/10.17762/turcomat.v12i9.3001openalex-snapshot
Survey on IoT Data Preprocessing
inferredcites →https://doi.org/10.23919/jcin.2022.10005217openalex-snapshot
Importance-Aware Data Pre-Processing and Device Scheduling for Multi-Channel Edge Learning
inferredcites →https://doi.org/10.32604/cmc.2022.020027openalex-snapshot
Data Traffic Reduction with Compressed Sensing in an AIoT System
inferredcites →https://doi.org/10.32604/cmc.2022.023611openalex-snapshot
Optimized Energy Efficient Strategy for Data Reduction Between Edge Devices in Cloud-IoT
inferredcites →https://doi.org/10.3389/fnins.2018.00217openalex-snapshot
A Fast, Open EEG Classification Framework Based on Feature Compression and Channel Ranking
inferredcites →https://doi.org/10.3390/aerospace9120750openalex-snapshot
Statistics and Machine Learning in Aviation Environmental Impact Analysis: A Survey of Recent Progress
inferredcites →https://doi.org/10.3390/bdcc7010044openalex-snapshot
Disclosing Edge Intelligence: A Systematic Meta-Survey
inferredcites →https://doi.org/10.3390/electronics12153229openalex-snapshot
Binary-Convolution Data-Reduction Network for Edge–Cloud IIoT Anomaly Detection
inferredcites →https://doi.org/10.3390/electronics9122035openalex-snapshot
Dimensionality Reduction for Smart IoT Sensors
inferredcites →https://doi.org/10.3390/s21175929openalex-snapshot
An NB-IoT-Based Edge-of-Things Framework for Energy-Efficient Image Transfer
inferredcites →https://doi.org/10.3390/s23041791openalex-snapshot
Deep-Reinforcement-Learning-Based IoT Sensor Data Cleaning Framework for Enhanced Data Analytics
inferredcites →https://doi.org/10.3390/s24020358openalex-snapshot
Towards an AI-Driven Data Reduction Framework for Smart City Applications
inferredcites →https://doi.org/10.48550/arxiv.2005.03675openalex-snapshot
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
inferredcites →https://doi.org/10.48550/arxiv.2303.05455openalex-snapshot
In search of the most efficient and memory-saving visualization of high dimensional data
inferredcites →https://doi.org/10.5860/choice.43-5664openalex-snapshot
Systematic reviews in the social sciences: a practical guide
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Designs strategies and performance of IoT antennas: a comprehensive review
inferred← citeshttps://doi.org/10.1016/j.future.2026.108848openalex-snapshot
Adaptive preprocessing degree-guided joint optimization of resources and task result confidence in Industrial IoT edge computing
inferred← citeshttps://doi.org/10.1109/access.2025.3586539openalex-snapshot
Intelligent Data Reduction for IoT: A Context-Driven Framework
inferred← citeshttps://doi.org/10.1109/aiot66900.2025.00062openalex-snapshot
Edge-Based Predictive Data Reduction for Smart Agriculture: A Lightweight Approach to Efficient IoT Communication
inferred← citeshttps://doi.org/10.1109/tkde.2026.3692662openalex-snapshot
Performance Optimization Strategies for Data Transmission From Edge to Cloud: A Review
inferred← citeshttps://doi.org/10.1109/ucc63386.2024.00016openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/jlpea15040060openalex-snapshot
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Utility-Driven End-to-End Network Slicing for Diverse IoT Users in MEC: A Multi-Agent Deep Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.3390/s26175543openalex-snapshot
Restoring CFAR Validity for Single-Channel IoT Sensor Streams: A Monte Carlo Comparison of CFAR-Family and Sequential Detectors Under Cortex-M0+ Constraints
inferred← citeshttps://doi.org/10.4018/979-8-3373-2125-7.ch004openalex-snapshot
Edge Intelligence Expanding BI Architectures Beyond the Cloud
inferred← citeshttps://doi.org/10.4018/979-8-3373-8919-6.ch004openalex-snapshot
AI for Data Cleaning, Annotation, and Curation
inferred← citeshttps://doi.org/10.5194/jsss-14-169-2025openalex-snapshot
Efficient hardware implementation of interpretable machine learning based on deep neural network representations for sensor data processing
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