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Evaluating fidelity of lossy compression on spatiotemporal data from an IoT enabled smart farm

, , , and . Computers and Electronics in Agriculture, (2018)
DOI: 10.1016/j.compag.2018.08.045

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Lossy compression on IoT big data by exploiting spatiotemporal correlation., , , and . HPEC, page 1-7. IEEE, (2017)Efficient Encoding and Reconstruction of HPC Datasets for Checkpoint/Restart., , , , and . MSST, page 79-91. IEEE, (2019)AD2: Improving Quality of IoT Data through Compressive Anomaly Detection., , , and . IEEE BigData, page 1662-1668. IEEE, (2019)Characterization of Transform-Based Lossy Compression for HPC Datasets., , , and . DRBSD@SC, page 56-62. IEEE, (2022)Anomaly Detection in Edge Nodes using Sparsity Profile., , , , and . IEEE BigData, page 1236-1245. IEEE, (2020)DPZ: Improving Lossy Compression Ratio with Information Retrieval on Scientific Data., , , , and . CLUSTER, page 320-331. IEEE, (2021)Outlier Elimination and Reliability Assessment for Peak and Declining Time Series Datasets., , and . ICDM (Workshops), page 593-600. IEEE, (2023)Towards Improving Rate-Distortion Performance of Transform-Based Lossy Compression for HPC Datasets., , , and . HPEC, page 1-7. IEEE, (2019)Towards Guaranteeing Error Bound in DCT-based Lossy Compression., , and . IEEE Big Data, page 3139-3145. IEEE, (2022)Cascaded Dimension Reduction for Effective Anomaly Detection., , , and . IEEE BigData, page 4480-4490. IEEE, (2021)