Results 1 to 10 of about 925,053 (169)

Symbolic methods for developing new domain decomposition algorithms [PDF]

open access: yes, 2012
The purpose of this work is to show how algebraic and symbolic techniques such as Smith normal forms and Gröbner basis techniques can be used to develop new Schwarz-like algorithms and preconditioners for linear systems of partial differential equationsL'
Cluzeau, Thomas   +3 more
core   +4 more sources

Development of a new lightweight encryption algorithm

open access: yesEastern-European Journal of Enterprise Technologies, 2023
Lightweight encryption algorithms are considered a relatively new direction in the development of private key cryptography. This need arose as a result of the emergence of a large number of devices with little computing power and memory. Therefore, it became necessary to develop algorithms that can provide a sufficient level of security, with minimal ...
Nursulu Kapalova   +2 more
openaire   +3 more sources

On the Eight Levels theorem and applications towards Lucas-Lehmer primality test for Mersenne primes, I

open access: yesArab Journal of Basic and Applied Sciences, 2023
Lucas-Lehmer test is the current standard algorithm used for testing the primality of Mersenne numbers, but it may have limitations in terms of its efficiency and accuracy.
Moustafa Ibrahim
doaj   +1 more source

New Chinese Language Tutorial: Development Algorithm [PDF]

open access: yesARPHA Proceedings, 2021
In conditions that see an increased public interest in the Chinese language study, the Russian education system faces a difficult task of rapidly developing a sufficient number of new effective teaching materials. New educational publications should not only meet the emerging demand for a broad study of the Chinese language, but also fully meet the ...
openaire   +3 more sources

Trustworthy Predictive Algorithms for Complex Forest System Decision-Making

open access: yesFrontiers in Forests and Global Change, 2021
Advances in predictive algorithms are revolutionizing how we understand and design effective decision support systems in many sectors. The expanding role of predictive algorithms is part of a broader movement toward using data-driven machine learning (ML)
Pushpendra Rana   +2 more
doaj   +1 more source

Developing a New Collision-Resistant Hashing Algorithm

open access: yesMathematics, 2022
Today, cryptographic hash functions have numerous applications in different areas. At the same time, new collision attacks have been developed recently, making some widely used algorithms like SHA-1 vulnerable and unreliable. This article is aiming at the development of a new hashing algorithm that will be resistant to all cryptographic attacks ...
Larissa V. Cherckesova   +3 more
openaire   +2 more sources

Synthesis of Fault-Tolerant Reliable Broadcast Algorithms With Reinforcement Learning

open access: yesIEEE Access, 2023
Fault-tolerant algorithms, such as Reliable Broadcast, assure the correct operation of modern distributed systems, even when some of the system nodes fail.
Diogo Vaz   +3 more
doaj   +1 more source

Developing and Evaluation of New Hybrid Encryption Algorithms [PDF]

open access: yesINTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 2014
Wireless Sensor networks consist of hundreds or thousands of low cost, low power and self-organizing nodes which are highly distributed. As wireless sensor networks continue to grow, so does the need for effective security mechanisms because sensor networks may interact with sensitive data.
DiaaSalama AbdElminaam   +3 more
openaire   +1 more source

Multi-Purpose Dataset of Webpages and Its Content Blocks: Design and Structure Validation

open access: yesApplied Sciences, 2021
The need for automated data extraction is continuously growing due to the constant addition of information to the worldwide web. Researchers are developing new data extraction methods to achieve increased performance compared to existing methods ...
Kiril Griazev, Simona Ramanauskaitė
doaj   +1 more source

Developing New Colored Dissolved Organic Matter Retrieval Algorithms Based on Sparse Learning

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Colored dissolved organic matter (CDOM) is an important biochemical state indicator of aquatic ecosystems. However, its retrieval from remote sensing datasets remains a challenging task due to its high spatiotemporal variability and interference from ...
Ruihao Zhang   +6 more
doaj   +1 more source

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