In this work, the effectiveness of using classical machine learning methods and modern deep neural network models for intrusion detection in computer networks has been investigated. The purpose of this work is to deve...
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This paper presents an approach to no-code development based on the interplay of formally defined (graphical) Domain-Specific Languages and informal, intuitive Natural Language which is enriched with contextual inform...
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Many parallel scientific applications have dynamic and irregular computational structure. However, most such applications exhibit persistence of computational load and communication structure. This allows us to embed ...
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作者：
SYNEFAKI, AI[a]Faculty of Technology-General Department
University of Thessaloniki Faculty of Technology Div. Computational Methods and Computer Programming Thessaloniki 540 06 Greece Fax: [b]University of Macedonia Thessaloniki
In this paper we develop an algorithm in order to solve pseudo-Boolean nonlinear equations and inequalities. The solutions to these problems are given in the form of set families. The objective of the proposed algorit...
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In this paper we develop an algorithm in order to solve pseudo-Boolean nonlinear equations and inequalities. The solutions to these problems are given in the form of set families. The objective of the proposed algorithms is the minimisation of the family number. The computational experiment showed that the time needed to obtain a solution family is almost constant.
Domain Specific Languages (DSLs) are high level languages designed for solving problems in a particular domain, and have been suggested as means for developing reliable software systems. However, designing of a domain...
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Domain Specific Languages (DSLs) are high level languages designed for solving problems in a particular domain, and have been suggested as means for developing reliable software systems. However, designing of a domain specific language is a difficult task. The design of a domain specific language will evolve as it is used more and more and experienced is gained by its designers. Being able to rapidly develop the implementation infrastructure (interpreter, compiler, debugger, profiler, etc.) of a domain specific language is thus of utmost importance so that as the language evolves, the implementation infrastructure can keep pace. In this paper we present a framework for automatically generating interpreters, compilers, debuggers, and profilers from semantic specification of a domain specific language. We illustrate our approach via the SCR language, a language used by the US defense department for developing control systems. Copyright 2005 ACM.
Model-driven software development facilitates faster and more flexible integration of information and communication systems. It divides system descriptions into models of different view points and abstraction levels. ...
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Classification is one of the methods of the intelligent data analysis (data mining), which allows to study the existing data set and create a model for each class based on its data features. To increase the accuracy o...
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Peculiarities of constructing ensemble bagging classifiers for identifying the state of a computer system under conditions of noisy data are studied. Decision trees and multilayer perceptron were used as basic classif...
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The paper presents a new technique for the botnets' detection in the corporate area networks. It is based on the usage of the algorithms of the artificial immune systems. Proposed approach is able to distinguish b...
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In summation I would say that we are trying to produce an all encompassing software package for numerically controlled drafting machines. There is much work yet to be done. Some of it can only be done after experience...
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