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Theoretical Foundations, Methods, and Algorithms for Lossless-in-Sense Text Compression
AbstractThe article is devoted to the scientific school developed by the first author in 1995–2012 in Yaroslav-the-Wise Novgorod State University...
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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...
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Automated Design of Efficient Search Schemes for Lossless Approximate Pattern Matching
We present a novel method for the automated design of search schemes for lossless approximate pattern matching. Search schemes are combinatorial...
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Medical images lossless recovery based on POB number system and image compression
To protect the information integrity of the medical images, this paper proposes a secure lossless recovery scheme for medical images based on image...
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Multi-layer permutation-substitution operations based novel lossless multiple color image encryption
This work develops a novel lossless multiple color image encryption based on multi-layer permutation-substitution operations. Initially, sixteen RGB...
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Image lossless encoding and encryption method of EBCOT Tier1 based on 4D hyperchaos
To satisfy requirements of high security and transmission efficiency in application scenarios with high image quality, an image lossless encryption...
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High efficiency lossless image recompression algorithm with asymmetric numeral systems for real-time mobile application
JPEG images are widely used by individual users, data centers, cloud storages, and network file systems. The huge transmission and storage bandwidth...
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Lossless Compression Algorithms
In this chapter, data compression as it relates to multimedia information is studied from the point of view of lossless algorithms, where the input...
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Lossless segmentation of cardiac medical images by a resolution consistent network with nondamage data preprocessing
Convolutional neural networks originate from image classification tasks. The pooling operation can expand the receptive field and reduce the amount...
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Neural perceptron & strict lossless secret sharing oriented cryptographic science: fostering patients’ security in the “new normal” COVID-19 E-Health
Patients’ data security is an open challenge on any telemedicine system. The challenge has been extended enough in this unprecedented corona virus...
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A secure lossless recovery for medical images based on image encoding and data self-embedding
To protect the security of data outsourced to the cloud, the tampers detection and recovery for outsourced image have aroused the concern of people....
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A robust zero-watermarking algorithm for lossless copyright protection of medical images
The continuous orthogonal moments of images have become a main tool used in zero-watermarking algorithms in recent years. However, there is a problem...
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Lossless Method of Constraining Membrane Potential in Deep Spiking Neural Networks
Biologically inspired Spiking Neural Networks (SNNs) offer a promising path toward achieving energy-efficient artificial intelligence systems....
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Information Theory
The aim of this chapter is to equip the reader with the mathematical instruments necessary for examining the information flow within the scientific...
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A novel method of digital image encryption using graph theory
This paper proposes a new technique for image data security using the concepts from graph theory. The proposed technique considers the pixels of the...
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An optimized image encryption framework with chaos theory and EMO approach
Security of digital data is one of the prime concerns of advanced data communication technologies. Images possess a major share of the overall data...
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Lossless image compression-encryption algorithm based on BP neural network and chaotic system
In this paper, a fractional-order memristive band-pass filter (BPF) chaotic circuit is constructed base on BPF chaotic circuit and fractional...
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Understanding the Semantic SQL Transducer
Nowadays we observe an evolving landscape of data management and analytics, emphasising the significance of meticulous data management practices,...
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Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory
Organisms have to keep track of the information in the environment that is relevant for adaptive behaviour. Transmitting information in an economical...
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Content Based Image Compression in Biomedical High-Throughput Screening Using Artificial Neural Networks
Biomedical High-Throughput Screening (HTS) requires specific properties of image compression. Particularly especially when archiving a huge number of...