Results 81 to 90 of about 937,847 (306)

A Universal Parallel Two-Pass MDL Context Tree Compression Algorithm

open access: yes, 2015
Computing problems that handle large amounts of data necessitate the use of lossless data compression for efficient storage and transmission. We present a novel lossless universal data compression algorithm that uses parallel computational units to ...
Baron, Dror, Krishnan, Nikhil
core   +1 more source

Realization of a quantum autoencoder for lossless compression of quantum data

open access: yes, 2020
As a ubiquitous aspect of modern information technology, data compression has a wide range of applications. Therefore, a quantum autoencoder which can compress quantum information into a low-dimensional space is fundamentally important to achieve ...
Chang-Jiang Huang   +15 more
semanticscholar   +1 more source

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula   +10 more
wiley   +1 more source

A Tile-Based Multi-Core Hardware Architecture for Lossless Image Compression and Decompression

open access: yesApplied Sciences
Lossless image compression plays a vital role in improving data storage and transmission efficiency without compromising data integrity. However, the throughput of current lossless compression and decompression systems remains limited and is unable to ...
Xufeng Li, Li Zhou, Yan Zhu
doaj   +1 more source

IMPROVING EFFICIENCY IN IMAGE ENCRYPTION AND COMPRESSION USING PERMUTATIONS & PREDICTIONS

open access: yesICTACT Journal on Image and Video Processing, 2017
Due to rapid growth in image sizes, an alternate of numerically lossless coding named visually lossless coding is considered to reduce storage size and lower data transmission.
S Shunmugan, P Arockia Jansi Rani
doaj   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

open access: yesAI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury   +2 more
wiley   +1 more source

DISCRETE ATOMIC COMPRESSION OF DIGITAL IMAGES: ALMOST LOSSLESS COMPRESSION

open access: yesРадіоелектронні і комп'ютерні системи, 2019
In this paper, we consider the problem of digital image compression with high requirements to the quality of the result. Obviously, lossless compression algorithms can be applied.
Iryna Victorivna Brysina   +1 more
doaj   +1 more source

Lossless Compression Using the Ramanujan Sums: Application to Hologram Compression

open access: yesIEEE Access, 2020
The Ramanujan sum, introduced by S. Ramanujan, has been utilized-among other applications-for signal processing. It has recently been suggested that transforms using the Ramanujan sums may also provide the benefit of data compression. This study presents
Harutaka Shiomi   +3 more
doaj   +1 more source

Structure induction by lossless graph compression

open access: yes, 2007
This work is motivated by the necessity to automate the discovery of structure in vast and evergrowing collection of relational data commonly represented as graphs, for example genomic networks.
Peshkin, Leonid
core   +3 more sources

Energy aware lossless data compression [PDF]

open access: yesProceedings of the 1st international conference on Mobile systems, applications and services, 2003
Wireless transmission of a single bit can require over 1000 times more energy than a single computation. It can therefore be beneficial to perform additional computation to reduce the number of bits transmitted. If the energy required to compress data is less than the energy required to send it, there is a net energy savings and an ...
Kenneth C. Barr, Krste Asanovic
openaire   +1 more source

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