An Approximate Algorithm for Determining the Sign Function of a Number Using Neural Network Methods

An Approximate Algorithm for Determining the Sign Function of a Number Using Neural Network Methods

Determining the sign of a number is not as simple as addition and multiplication. When using the traditional notation of a number in binary form with two's complement code, it allows you to store the sign of the number and process it. However, when representing a number in modular form, or in a...

Deskribapen osoa

Gorde:

Xehetasun bibliografikoak
Egile Nagusiak:	Shiriaev, E. M., Ширяев, Е. М., Lutsenko, V. V., Луценко, В. В., Babenko, M. G., Бабенко, М. Г.
Formatua:	Статья
Hizkuntza:	English
Argitaratua:	Springer Science and Business Media Deutschland GmbH 2024
Gaiak:	Homomorphic encryption Sign function Residue number system (RNS) Neural networks
Sarrera elektronikoa:	https://dspace.ncfu.ru/handle/123456789/29356
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak

Enhancing Cloud Security through Efficient Polynomial Approximations for Homomorphic Evaluation of Neural Network Activation Functions
nork: Babenko, M. G., et al.
Argitaratua: (2024)

Modification and Adaptation of Methods and Algorithms of the Active Security Concept for Fog Systems
nork: Shiriaev, E. M., et al.
Argitaratua: (2024)

High-Speed Convolution Core Architecture for Privacy-Preserving Neural Networks
nork: Lapina, M. A., et al.
Argitaratua: (2024)

Analytical Review of Cryptographic Primitives to Use in Fog Computing
nork: Shiriaev, E. M., et al.
Argitaratua: (2024)

A survey on multi-cloud storage security: threats and countermeasures
nork: Bezuglova, E. S., et al.
Argitaratua: (2023)

Investigation of Neural Network Methods for Error Detection and Correction in the Residue Number System
nork: Lutsenko, V. V., et al.
Argitaratua: (2024)

High-Speed Parity Number Detection Algorithm in RNS Based on Akushsky Core Function
nork: Lutsenko, V. V., et al.
Argitaratua: (2025)

Modeling of parallel data encryption algorithms
nork: Kocherov, Y. N., et al.
Argitaratua: (2020)

An Efficient Implementation of the Montgomery Algorithm Using the Akushsky Core Function
nork: Lutsenko, V. V., et al.
Argitaratua: (2024)

Le Signe
nork: Guy d. M.
Argitaratua: (2013)

Fault Tolerant System for Data Storage, Transmission and Processing in Fog Computing Using Artificial Neural Networks
nork: Lutsenko, V. V., et al.
Argitaratua: (2024)

Nonlinear approximation of functions based on nonnegative least squares solver
nork: Vabishchevich, P. N., et al.
Argitaratua: (2023)

Implementation of CMAC neural network control systems in residue number system
nork: Koldaev, A. I., et al.
Argitaratua: (2020)

Optimization of neural network computation with use of residual number system for tasks of design of neural network systems of automatic control
nork: Tikhonov, E. E., et al.
Argitaratua: (2019)

Construction of Akushsky Core Functions Without Critical Cores
nork: Lutsenko, V. V., et al.
Argitaratua: (2024)

Signe
nork: Guillaume A.
Argitaratua: (2013)

Development of an Approach to Confidential Learning with Errors in the Design of Neural Networks
nork: Bezuglova, E. S., et al.
Argitaratua: (2024)

Neural network technologies in economics study aid
nork: Kovalenko, A. V.

The Sign of the Four
nork: Doyle, A. C.

The Sign of the Four
nork: A. C. Doyle

On Some arithmetic applications to the theory of symmetric groups
nork: Pachev, U. M., et al.
Argitaratua: (2024)

Investigation of the Rank of Numbers Represented in the Residue Number System
nork: Kuchukov, V. A., et al.
Argitaratua: (2024)

Signs of digital crime: Legal issues
nork: Ryabova, L. V., et al.
Argitaratua: (2023)

These are the Signs to Nature's Inns
nork: Emily E. D.
Argitaratua: (2013)

Multirecurrent Neural Network in Discrete Form
nork: Shaposhnikov, A. V., et al.
Argitaratua: (2024)

Artificial neural networks учебное пособие
nork: Калитин, Д. В.

The Possibilities of Using Neural Networks in Literature Lessons at School
nork: Murashko, E. I., et al.
Argitaratua: (2024)

Analytical Review of Classification and Clustering Methods of Cyber Attacks Based on Data Mining and Neural Network Approach
nork: Fedina, A. D., et al.
Argitaratua: (2024)

Data Storage with Increased Survivability and Reliability Based on the Residue Number System
nork: Kucherov, N. N., et al.
Argitaratua: (2024)

Perceptions of Neural Network Use in Higher Education: Case Study
nork: Yesayan, M. L., et al.
Argitaratua: (2025)

Research and Modification of Montgomery Multiplication Algorithm
nork: Lapina, M. A., et al.
Argitaratua: (2024)

Nature-inspired optimization algorithms for cyber-physical systems
nork: Lapina, M. A., et al.
Argitaratua: (2025)

Methodology and Technology of Using Neural Networks in Agriculture
nork: Mikhailov, G. G., et al.
Argitaratua: (2024)

Functional anatomy of central nervous system and sense organs : the tutorial
nork: Chertok V. M.
Argitaratua: (2025)

Analysis of an Existing Method for Detecting Adversarial Attacks on Deep Neural Networks
nork: Lapina, M. A., et al.
Argitaratua: (2024)

Heaven has different Signs — to me
nork: Emily E. D.
Argitaratua: (2013)

The Sign of the Four and The Memoirs of Sherlock Holmes
nork: Doyle, A. C.

The Sign of the Four and The Memoirs of Sherlock Holmes
nork: A. C. Doyle

On the Oscillation Frequency of Internal Gravity Waves in the Adiabatic Approximation
nork: Zakinyan, R. G., et al.
Argitaratua: (2024)

ALGORITHMIC PROCEDURES OF IDENTIFYING ADVERTISEMENT TEXTS IN MASS MEDIA DISCOURSE
nork: Kamensky, M. V., et al.
Argitaratua: (2025)