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Seismic data compression: an overview
Seismic Data (SD) have been for several decades used as one of the main inspection and exploration tools in various fields, particularly petroleum...
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Arithmetic N-gram: an efficient data compression technique
Due to the increase in the growth of data in this era of the digital world and limited resources, there is a need for more efficient data compression...
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Point Cloud Compression Technologies and Standardization
3D point clouds have broad applications across various industries and have contributed to advancements in fields such as autonomous driving,...
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Data Compression Algorithm of Power System
Data compression refers to the use of software performance to improve system utilization without increasing hardware costs. Therefore, in the process...
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Distributed compression and decompression for big image data: JPEG and CCITT Group-3
In today’s era, digital data is being created and transmitted majorly in the form of images and videos. Storing such a huge number of images and...
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Fast data-free model compression via dictionary-pair reconstruction
Deep neural network (DNN) obtained satisfactory results on different vision tasks; however, they usually suffer from large models and massive...
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A data compression and encryption method for green edge computing
Green edge computing aims to reasonably allocate computing resources on the premise of ensuring the reliability of information services. The...
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A unified test data volume compression scheme for circular scan architecture using hosted cuckoo optimization
Test data volume (TDV) is the main issue for lessening the test data volume for system-on-a-chip (SoC), lessening test time, average power, and peak...
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Accelerate Support Vector Clustering via Spectral Data Compression
This paper proposes a novel framework for accelerating support vector clustering. The proposed method first computes much smaller compressed data...
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Classical and quantum compression for edge computing: the ubiquitous data dimensionality reduction
Edge computing aims to address the challenges associated with communicating and transferring large amounts of data generated remotely to a data...
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Efficient Partitioning Method for Optimizing the Compression on Array Data
Array partitioning is an important research problem in array management area, since the partitioning strategies have important influence on storage,...
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A high capacity reversible data hiding scheme in efficient LZW compression
Reversible data hiding (RDH) is a steganography technique where the cover data is recovered completely after extracting the secret message from the...
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Leveraging chaos for enhancing encryption and compression in large cloud data transfers
One of the routine exercises to manage and improve the performance and utility of the cloud is the migration or transfer of cloud data whether it is...
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Enhancing dynamic mode decomposition workflow with in situ visualization and data compression
Modern computational science and engineering applications are being improved by advances in scientific machine learning. Data-driven methods such as...
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An Improved Data Compression Framework for Wireless Sensor Networks Using Stacked Convolutional Autoencoder (S-CAE)
Data compression is crucial in the networks as there is limited energy which is accessible to sensor nodes in wireless sensor networks (WSNs). The...
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Cooperative computation offloading combined with data compression in mobile edge computing system
Cooperative computation offloading (CCO) is a technique to improve computation offloading performance in edge networks through collaboration between...
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Real-time progressive compression method of massive data based on improved clustering algorithm
In order to realize the real-time progressive compression of massive data and ensure the quality of compressed data, a real-time progressive...
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Stream-Based Lossless Data Compression
In this chapter, we introduce aspects of applying data-compression techniques. First, we study the background of recent communication data paths. The...
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A Time Series Data Compression Co-processor Based on RISC-V Custom Instructions
With the widespread use of IoT devices, the issue of high data transaction pressure introduces a new set of challenges. To overcome the conflict of...
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Increasing the Huffman generation code algorithm to equalize compression ratio and time in lossless 16-bit data archiving
Compression is a process that is always carried out in terms of digitizing data, which is considered very important, especially in the development...
