Results 171 to 180 of about 523 (204)

Code Profiling Analysis of Rough Set Theory on DSP and Embedded Processors for IoT Application

2020
Rough set theory is a powerful artificial intelligence based tool used for data analysis and mining inconsistent information systems. In the presence of inconsistent, incomplete, imprecise, or vague data, normal statistical based data analytic techniques lag behind. This paper discusses the code profiling for rough set theory on DSP and ARM processors.
Vanita Agarwal, Rajendrakumar A. Patil, Jyoti Adwani   +2 more
openaire   +1 more source

Sparse coding and rough set theory-based hybrid approach to the classificatory decomposition of cortical evoked potentials

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02., 2002
This paper presents a novel approach to classification of decomposed cortical evoked potentials (EPs). The decomposition is based on learning of a sparse set of basis functions using an artificial neural network (ANN). The basis functions are generated according to a probabilistic model of the data.
G.M. Boratyn, T.G. Smolinski, M. Milanova, A. Wrobel   +3 more
openaire   +1 more source

New Malicious Code Detection Based on N-Gram Analysis and Rough Set Theory

2007
Motivated by the standard signature-based technique for detecting viruses, we explore the idea of automatically detecting malicious code using the N-gram analysis. The method is based on statistical learning and not strictly dependent on certain viruses. We propose the use of rough set theory (RST) to reduce the feature dimension.
Boyun Zhang, Jianping Yin, Jingbo Hao, Shulin Wang, Dingxing Zhang   +4 more
openaire   +1 more source

Code and Data set for "Theory of Nonlinear Spectroscopy of Quantum Magnets"

Update: Please refer to version2 of the code. We have made some changes in the code generating figure S5(Symmetric and anti-symmetric channel for radiated electric field) in the Supplementary material Code and datasets for the manuscript "Theory of Nonlinear Spectroscopy of Quantum Magnets". The codes and datasets for Main text and Supplementary mater
Srivastava, Anubhav, Birnkammer, Stefan, Sim, GiBaik, Knap, Michael, Knolle, Johannes   +4 more
openaire   +2 more sources

The relation between the K-sets and coding theory

AIP Conference Proceedings, 2022
Najm Abdulzahra Makhrib Al-Seraji, Fatima Ahmed Musa   +1 more
openaire   +1 more source

Noncommutative Coding Theory and Algebraic Sets for Skew PBW Extensions

Journal of Mathematical Techniques and Computational Mathematics
The classical commutative coding theory has been recently extended to noncommutative rings of polynomial type. There are many interesting works in coding theory over single Ore extensions. In this review article we present the most relevant algebraic tools and properties of single Ore extensions used in noncommutative coding theory.
openaire   +1 more source

Attribute Coding for the Rough Set Theory Based Rule Simplications by Using the Particle Swarm Optimization Algorithm

2011
The attribute coding approach has been used in the Rough Set Theory (RST) based classification problems. The attribute coding defined ranges of the attribute values as multi-thresholds. If attribute values can be defined as appropriate values, the appropriate number of rules will be generated.
Jieh-Ren Chang, Yow-Hao Jheng, Chi-Hsiang Lo, Betty Chang   +3 more
openaire   +1 more source

Some Applications of the Set of Curves on Fibred Surfaces to Coding Theory

Communications to SIMAI Congress, 2007
Failla G, Lahyane M, Molica Bisci G
openaire   +1 more source

Arguments against the stereochemical theory of the origin of the genetic code

BioSystems, 2022
Massimo Di Giulio
exaly  

CUMBIA-Set of codes for the analysis of reinforced concrete members - Walls Theory and User Guide

2021
Arsalan Niroomandi, Montejo, Luis
openaire   +1 more source