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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/spe.2203openalex-snapshot
Decoding billions of integers per second through vectorization
inferredcites →https://doi.org/10.1007/978-3-319-24947-6_28openalex-snapshot
High Speed Lossless Image Compression
inferredcites →https://doi.org/10.1007/pl00011669openalex-snapshot
Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
inferredcites →https://doi.org/10.1007/s00778-014-0368-8openalex-snapshot
A time-series compression technique and its application to the smart grid
inferredcites →https://doi.org/10.1007/s10618-009-0125-6openalex-snapshot
iSAX: disk-aware mining and indexing of massive time series datasets
inferredcites →https://doi.org/10.1016/j.pmcj.2011.09.004openalex-snapshot
Social fMRI: Investigating and shaping social mechanisms in the real world
inferredcites →https://doi.org/10.1016/j.snb.2015.03.028openalex-snapshot
Reservoir computing compensates slow response of chemosensor arrays exposed to fast varying gas concentrations in continuous monitoring
inferredcites →https://doi.org/10.1038/sdata.2016.106openalex-snapshot
Distributed solar photovoltaic array location and extent dataset for remote sensing object identification
inferredcites →https://doi.org/10.1038/sdata.2016.37openalex-snapshot
Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014
inferredcites →https://doi.org/10.1109/10.951524openalex-snapshot
Multichannel ECG compression using multichannel adaptive vector quantization
inferredcites →https://doi.org/10.1109/dcc.2015.66openalex-snapshot
IoT Data Compression: Sensor-Agnostic Approach
inferredcites →https://doi.org/10.1109/icde.2006.150openalex-snapshot
Super-Scalar RAM-CPU Cache Compression
inferredcites →https://doi.org/10.1109/icde.2010.5447738openalex-snapshot
Hive - a petabyte scale data warehouse using Hadoop
inferredcites →https://doi.org/10.1109/icdm.2001.989531openalex-snapshot
An online algorithm for segmenting time series
inferredcites →https://doi.org/10.1109/icdm.2005.79openalex-snapshot
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
inferredcites →https://doi.org/10.1109/icdm.2010.124openalex-snapshot
iSAX 2.0: Indexing and Mining One Billion Time Series
inferredcites →https://doi.org/10.1109/icdm.2011.146openalex-snapshot
Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data
inferredcites →https://doi.org/10.1109/icdm.2011.54openalex-snapshot
Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL
inferredcites →https://doi.org/10.1109/icdm.2013.52openalex-snapshot
SAX-VSM: Interpretable Time Series Classification Using SAX and Vector Space Model
inferredcites →https://doi.org/10.1109/icdm.2016.0093openalex-snapshot
EXTRACT: Strong Examples from Weakly-Labeled Sensor Data
inferredcites →https://doi.org/10.1109/jssc.2010.2042245openalex-snapshot
A Micro-Power EEG Acquisition SoC With Integrated Feature Extraction Processor for a Chronic Seizure Detection System
inferredcites →https://doi.org/10.1109/mc.2009.5openalex-snapshot
Body Area Sensor Networks: Challenges and Opportunities
inferredcites →https://doi.org/10.1109/msst.2010.5496972openalex-snapshot
The Hadoop Distributed File System
inferredcites →https://doi.org/10.1109/rtss.2013.36openalex-snapshot
Respawn: A Distributed Multi-resolution Time-Series Datastore
inferredcites →https://doi.org/10.1109/sahcn.2016.7733016openalex-snapshot
Signal Characteristics on Sensor Data Compression in IoT - An Investigation
inferredcites →https://doi.org/10.1109/tbme.2015.2411672openalex-snapshot
Compressed Sensing of Multichannel EEG Signals: The Simultaneous Cosparsity and Low-Rank Optimization
inferredcites →https://doi.org/10.1109/tit.1966.1053907openalex-snapshot
Run-length encodings (Corresp.)
inferredcites →https://doi.org/10.1109/tkde.2012.237openalex-snapshot
An Evaluation of Model-Based Approaches to Sensor Data Compression
inferredcites →https://doi.org/10.1137/1.9781611972771.59openalex-snapshot
A Better Alternative to Piecewise Linear Time Series Segmentation
inferredcites →https://doi.org/10.1137/1.9781611972832.74openalex-snapshot
Fast Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets
inferredcites →https://doi.org/10.1145/1869389.1869394openalex-snapshot
Fast integer compression using SIMD instructions
inferredcites →https://doi.org/10.1145/2063576.2063627openalex-snapshot
SIMD-based decoding of posting lists
inferredcites →https://doi.org/10.1145/2141622.2141637openalex-snapshot
Towards global aerobic activity monitoring
inferredcites →https://doi.org/10.1145/2207676.2208303openalex-snapshot
Instructing people for training gestural interactive systems
inferredcites →https://doi.org/10.1145/2735629openalex-snapshot
A General SIMD-Based Approach to Accelerating Compression Algorithms
inferredcites →https://doi.org/10.1145/375663.375680openalex-snapshot
Locally adaptive dimensionality reduction for indexing large time series databases
inferredcites →https://doi.org/10.1145/376284.375680openalex-snapshot
Locally adaptive dimensionality reduction for indexing large time series databases
inferredcites →https://doi.org/10.1145/882082.882086openalex-snapshot
A symbolic representation of time series, with implications for streaming algorithms
inferredcites →https://doi.org/10.1145/882085.882086openalex-snapshot
A symbolic representation of time series, with implications for streaming algorithms
inferredcites →https://doi.org/10.17487/rfc1950openalex-snapshot
ZLIB Compressed Data Format Specification version 3.3
inferredcites →https://doi.org/10.17487/rfc1951openalex-snapshot
DEFLATE Compressed Data Format Specification version 1.3
inferredcites →https://doi.org/10.17487/rfc2083openalex-snapshot
PNG (Portable Network Graphics) Specification Version 1.0
inferredcites →https://doi.org/10.21236/ada603196openalex-snapshot
SAX-VSM: Interpretable Time Series Classification Using SAX and Vector Space Model
inferredcites →https://doi.org/10.4108/icst.bodynets2009.6017openalex-snapshot
Adaptive lossless compression in wireless body sensor networks
inferredcites →https://doi.org/10.48550/arxiv.1311.2540openalex-snapshot
Asymmetric numeral systems: entropy coding combining speed of Huffman coding with compression rate of arithmetic coding
inferredcites →https://doi.org/10.5441/002/edbt.2017.14openalex-snapshot
ChronicleDB: A High-Performance Event Store
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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IoTDataBench: Extending TPCx-IoT for Compression and Scalability
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Data Management in Machine Learning Systems
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Compact Storage of Data Streams in Mobile Devices
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Efficient Event Processing on Modern Hardware
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Lossy Encoding of Time-Aggregated Neuromorphic Vision Sensor Data Based on Point Cloud Compression
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An Enhanced Compact Time Series Data Representation with Optimized CBOR Encoding
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Enhancing Data Compression Through Vertical Distance-Based Piecewise Linear Approximation
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Time series data encoding in Apache IoTDB: comparative analysis and recommendation
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Efficient Lossy Compression for IoT Using SZ and Reconstruction with 1D U-Net
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Two-level energy-efficient data reduction strategies based on SAX-LZW and hierarchical clustering for minimizing the huge data conveyed on the internet of things networks
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Data Traffic Management Based on Compression and MDL Techniques for Smart Agriculture in IoT
inferred← citeshttps://doi.org/10.1007/s13755-023-00235-wopenalex-snapshot
An error-bounded median filter for correcting ECG baseline wander
inferred← citeshttps://doi.org/10.1007/s42486-024-00153-0openalex-snapshot
Ef-kpress: joint event-frame compression and video generation with event cameras for low-bandwidth VR streaming
inferred← citeshttps://doi.org/10.1007/s44443-026-00553-5openalex-snapshot
Dolphin: an adaptive lossless compression algorithm for oscillating floating-point time series
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Data resilience system for fog computing
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Sparse mobile crowd sensing in low-resource computing environments: An active spatio-temporal fracture approach
inferred← citeshttps://doi.org/10.1016/j.compind.2021.103503openalex-snapshot
Lossless compression of industrial time series with direct access
inferred← citeshttps://doi.org/10.1016/j.enbuild.2025.116160openalex-snapshot
Energy consumption reduction of indoor temperature measurements with asymmetric numeral system compression
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108267openalex-snapshot
Novel lossy compression method of noisy time series data with anomalies: Application to partial discharge monitoring in overhead power lines
inferred← citeshttps://doi.org/10.1016/j.ins.2023.119490openalex-snapshot
Time series compression based on reinforcement learning
inferred← citeshttps://doi.org/10.1016/j.ins.2023.119847openalex-snapshot
AFC: An adaptive lossless floating-point compression algorithm in time series database
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Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems
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Reducing communication overhead in the IoT–edge–cloud continuum: A survey on protocols and data reduction strategies
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Waved zero streaming: A time series compression framework with adaptive segmentation optimization
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Survey:Time-series data preprocessing: A survey and an empirical analysis
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.02.097openalex-snapshot
Robust IoT time series classification with data compression and deep learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126657openalex-snapshot
A multilevel adaptive reduction technique for time series
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107465openalex-snapshot
Time series compression using quaternion valued neural networks and quaternion backpropagation
inferred← citeshttps://doi.org/10.1016/j.segan.2023.101238openalex-snapshot
Comprehensive evaluation of lossless compression algorithms in a real use case for smart grid applications
inferred← citeshttps://doi.org/10.1016/j.sigpro.2026.110801openalex-snapshot
SplineOP: A dynamic programming knot selection algorithm for time-series compression with quadratic splines
inferred← citeshttps://doi.org/10.1088/1361-6579/ab7cb5openalex-snapshot
A practical approach to storage and retrieval of high-frequency physiological signals
inferred← citeshttps://doi.org/10.1109/abc68169.2026.11567278openalex-snapshot
Towards On-Device Physiological Data Monitoring Using the Time-Series Range-Counting Summary
inferred← citeshttps://doi.org/10.1109/access.2020.2980006openalex-snapshot
Integration of IoT Streaming Data With Efficient Indexing and Storage Optimization
inferred← citeshttps://doi.org/10.1109/access.2020.2996661openalex-snapshot
Lossless Compression of Data From Static and Mobile Dynamic Vision Sensors-Performance and Trade-Offs
inferred← citeshttps://doi.org/10.1109/access.2021.3066686openalex-snapshot
Towards Smart Data Selection From Time Series Using Statistical Methods
inferred← citeshttps://doi.org/10.1109/access.2022.3222330openalex-snapshot
Lossless Compression of Neuromorphic Vision Sensor Data Based on Point Cloud Representation
inferred← citeshttps://doi.org/10.1109/access.2025.3528375openalex-snapshot
Neuromorphic Vision Data Coding: Classifying and Reviewing the Literature
inferred← citeshttps://doi.org/10.1109/aero47225.2020.9172767openalex-snapshot
Graph Spectral Embedding for Parsimonious Transmission of Multivariate Time Series
inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9005580openalex-snapshot
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825287openalex-snapshot
Shrink: Data Compression by Semantic Extraction and Residuals Encoding
inferred← citeshttps://doi.org/10.1109/etfa65518.2025.11205560openalex-snapshot
Lossless Compression of Time Series Data: A Comparative Study
inferred← citeshttps://doi.org/10.1109/gcwkshps45667.2019.9024584openalex-snapshot
5G Enabled Mobile Healthcare for Ambulances
inferred← citeshttps://doi.org/10.1109/giis56506.2022.9936910openalex-snapshot
Toward a Standard Time Series Representation for IoT based on CBOR Templates
inferred← citeshttps://doi.org/10.1109/globecom46510.2021.9685589openalex-snapshot
Direct Analytics of Generalized Deduplication Compressed IoT Data
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9053178openalex-snapshot
Performance Comparison of Lossless Compression Strategies for Dynamic Vision Sensor Data
inferred← citeshttps://doi.org/10.1109/icc45855.2022.9838758openalex-snapshot
Stream Compression of DLMS Smart Meter Readings
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A Framework of 5G Mobile-health Services for Ambulances
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Integer Time Series Compression for Holistic Data Analytics in the Context of Vehicle Sensor Data
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Two-Level Data Compression using Machine Learning in Time Series Database
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Scalable Model-Based Management of Correlated Dimensional Time Series in ModelarDB +
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CompressStreamDB: Fine-Grained Adaptive Stream Processing without Decompression
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REGER: Reordering Time Series Data for Regression Encoding
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AdaEdge: A Dynamic Compression Selection Framework for Resource Constrained Devices
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A Cost-Effective and Decompression-Transparent Compressor for OLTP-Oriented Databases
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Exploring SIMD Vectorization in Aggregation Pipelines for Encoded IoT Data
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BOS: Bit-Packing with Outlier Separation
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Learned Compression of Nonlinear Time Series with Random Access
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Sorting Compressed Time Series
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A Comparison Of Relational, NoSQL and NewSQL Database Management Systems For The Persistence Of Time Series Data
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Lossy Event Compression Based On Image-Derived Quad Trees And Poisson Disk Sampling
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Event Data Stream Compression Based on Point Cloud Representation
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Techniques to Compress Time-Series Data
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RSS Fingerprinting Dataset Size Reduction Using Feature-Wise Adaptive k-Means Clustering
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A Randomly Accessible Lossless Compression Scheme for Time-Series Data
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HBC: Combining Lossy and Lossless Hybrid Bilayer Compression Framework on Time-Series Data
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Time-Aggregation-Based Lossless Video Encoding for Neuromorphic Vision Sensor Data
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Embedded Streaming Principal Components Analysis for Network Load Reduction in Structural Health Monitoring
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Titchy: Online Time-Series Compression With Random Access for the Internet of Things
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GLEAN: Generalized-Deduplication-Enabled Approximate Edge Analytics
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Toward the Random Multiaccess in SIoT: A Generalized-Deduplication-Based CRDSA Mechanism
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Flow-Based Visual Stream Compression for Event Cameras
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Adaptive Encoding Strategies for Lossless Floating-Point Compression
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A Perpetual Compression Scheme for Delay Tolerant Communication
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SPDFlow: Lightweight Normalizing Flows With Range Asymmetric Numeral Systems for Online Compression of Large-Scale Smart Metering Data
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Data Encoding Algorithm for Transmission from Wearable Biomedical Sensors via Wireless Communication Channels
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Data Storage at the Edge: Challenges and Opportunities
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Compressing Time Series Towards Lightweight Integrity Commitments
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GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT
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Data-Aware Adaptive Compression for Stream Processing
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CStream: Parallel Data Stream Compression on Multicore Edge Devices
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Performance Optimization Strategies for Data Transmission From Edge to Cloud: A Review
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Efficient Time-Series Data Delivery in IoT With Xender
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Efficient Edge Data Management Framework for IIoT via Prediction-Based Data Reduction
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Real-Time D-PMU Data Compression for Edge Computing Devices in Digital Distribution Networks
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Anomaly-Aware Adaptive Sampling for Electrical Signal Compression
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Towards Efficient Neuromorphic Data Processing: A Novel Representation with Lossless Spatio-Temporal Compression
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Towards efficient real-time decision support at the edge
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Harvesting-Aware Optimal Communication Scheme for Infrastructure-Less Sensing
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L 2 C: Combining Lossy and Lossless Compression on Memory and I/O
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AWARE: Workload-aware, Redundancy-exploiting Linear Algebra
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Hierarchical Residual Encoding for Multiresolution Time Series Compression
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MOST: Model-Based Compression with Outlier Storage for Time Series Data
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A Novel Approach for Neuromorphic Vision Data Compression based on Deep Belief Network
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Serf : Streaming Error-Bounded Floating-Point Compression
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FLEA: Frequency-based Lossless Encoding Algorithm for Periodic Time Series
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A Pragmatic Evaluation of Piece-Wise Linear Lossy Compression Schemes
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Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy
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Time Series Compression for IoT: A Systematic Literature Review
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RVPLAYER: Robotic Vehicle Forensics by Replay with What-if Reasoning
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Decomposed bounded floats for fast compression and queries
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Time series data encoding for efficient storage
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Frequency domain data encoding in apache IoTDB
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Elf: Erasing-Based Lossless Floating-Point Compression
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Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask
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SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications
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Scalable Model-Based Management of Massive High Frequency Wind Turbine Data with ModelarDB
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Improving Time Series Data Compression in Apache IoTDB
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Agile Lossless Compression Algorithm for Big Data of Solar Energy Harvesting Wireless Sensor Network
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Xender+: Enhancing Time Series Data Transmission via Historical Model Reuse
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Tool Wear Prediction Enhanced by Semantic-aware Data Compression
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Multimodal Data Encoding and Compression in Apache IoTDB
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Data Management in Machine Learning Systems
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Real Time Adaptive AI pipelines for edge cloud systems: Dynamic optimization based on infrastructure feedback
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System Design and Optimization for Efficient Flash-based Caching in Data Centers
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On the Optimal Calculation of the Rice Coding Parameter
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Lossless Compression of Human Movement IMU Signals
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Compression of Text in Selected Languages—Efficiency, Volume, and Time Comparison
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Deep Learning-Based Adaptive Compression and Anomaly Detection for Smart B5G Use Cases Operation
inferred← citeshttps://doi.org/10.3390/s23115124openalex-snapshot
Yet Another Compact Time Series Data Representation Using CBOR Templates (YACTS)
inferred← citeshttps://doi.org/10.3390/s23208575openalex-snapshot
Lossless Data Compression for Time-Series Sensor Data Based on Dynamic Bit Packing
inferred← citeshttps://doi.org/10.3390/s24051382openalex-snapshot
Lossless Encoding of Time-Aggregated Neuromorphic Vision Sensor Data Based on Point-Cloud Compression
inferred← citeshttps://doi.org/10.47839/ijc.21.1.2523openalex-snapshot
A Method of IoT Information Compression
inferred← citeshttps://doi.org/10.48550/arxiv.2003.03033openalex-snapshot
What is the State of Neural Network Pruning?
inferred← citeshttps://doi.org/10.5753/eradrs.2021.14800openalex-snapshot
Um estudo sobre estratégias para compactação de Séries Temporais para aplicações de IoT
inferred← citeshttps://doi.org/10.5753/jisa.2025.5242openalex-snapshot
INTACT: Compact Storage of Data Streams in Mobile Devices to Unlock User Privacy at the Edge
inferred← citeshttps://doi.org/10.5753/sbiagro.2021.18380openalex-snapshot
Effects of agro-sensor time series approximation on plant stress detection: an experimental study
inferred← citeshttps://doi.org/10.5821/dissertation-2117-405945openalex-snapshot
Smart and efficient sensor networks operation for 5G and beyond ecosystems
inferred← citeshttps://doi.org/10.70675/361f50d2z162az4900zaee0z15f969f6d23copenalex-snapshot
Data Redundancy Management in Connected Environments
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