| I.2.3 Deduction and Theorem Proving | Article |
OPERATING MODEL OF KNOWLEDGE QUANTUM ENGINEERING ... |
Abstract: The operating model of knowledge quantum engineering for identification and prognostic decisionmaking
in conditions of α-indeterminacy is suggested in the article. The synthesized operatin |
| I.2.1 Applications and Expert Systems | Article |
OPTIMIZATION OF FIRE ALARM SYSTEMS BASED ON EVOLUTIONARY METHODS |
Abstract: The formalized raising of task of optimization of structure of the system of the fire monitoring is
executed. Objective functions are worked out for apartments with the sources of enhancea |
| I.2.6 Learning | Article |
OUTLIERS RESISTANT LEARNING ALGORITHM FOR RADIAL-BASIS-FUZZY-WAVELET-NEURAL ... |
Abstract: In this paper an outliers resistant learning algorithm for the radial-basis-fuzzy-wavelet-neural network
based on R. Welsh criterion is proposed. Suggested learning algorithm under consider |
| I.6.0 General | Article |
OVERALL QOS REFERENCING IN TELECOMMUNICATION SYSTEMS – SOME CURRENT CONCEPTS . |
Abstract: The main current concepts in overall Quality of Service (QoS) considerations in telecommunication systems, in documents of the leading standardization organizations, are found and put togeth |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
OWL as a Standard Model for Transdisciplinary Knowledje Representation in ... |
Abstract: The reasons for emerging OWL as a standard for ontology representation in the Semanic Web are
discussed in the paper. OWL structre and possibilities for representing ontologies of transdisc |
| I.2.0 General | Article |
PARALLEL BETWEEN DEFINITION OF CHESS PLAYING PROGRAM AND DEFINITION OF AI 2 |
Abstract: In this report we will explain some earlier papers [1, 2] which are about definition of Artificial
Intelligence and about perfect AI. The definition of AI is intuitive in [1] and formal in |
| I.2.7 Natural Language Processing | Article |
PARAMETERIZATION OF COMMENTS FROM PERUVIAN FACEBOOK AND TWITTER... |
Abstract: Millions of Facebook and Twitter users send their comments all over the world about products and
services, political and economical events, etc. (almost 3 billions each day) The principal p |
| I.2.1 Applications and Expert Systems | Article |
PARAMETRIC IDENTIFICATION FOR FOR MODEL OF A CHEMICAL HAZARDOUS SUBSTANCE ... |
Abstract: The technology of concentration determining for a hazardous chemical substance in the pre-accident
period is suggested. As a concentration model was selected neuro-fuzzy network with fuzzy |
| I.6 SIMULATION AND MODELING | Article |
PARETO-OPTIMUM APPROACH TO MATHEMATICAL MODELING OF ODOURS IDENTIFICATION ... |
Abstract: Mathematical model of vapor identification system is developed. Calibrating signals from vapor sensors
are used to identify unknown input to vapor sensors and approximate output from eventu |
| I.5.3 Clustering | Article |
PARTITION METRIC FOR CLUSTERING FEATURES ANALYSIS |
Abstract: A new distance function to compare arbitrary partitions is proposed. Clustering of image collections
and image segmentation give objects to be matched. Offered metric intends for combinatio |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
PECULIARITIES OF LINKED DATA PROCESSING IN SEMANTIC APPLICATIONS |
Abstract: Nowadays linked data popularity increases along with information description in the form of RDFtriplets.
Efficient implementation of users’ interaction with these kinds of data requires s |
| I.5.1 Models | Article |
PERFORMANCE OF COMPUTER-AIDED DIAGNOSIS TECHNIQUES IN INTERPRETATION OF ... |
Abstract: This study explores and compares predictive abilities of six types of neural networks used as tools for
computer-aided breast cancer diagnosis, namely, multilayer perceptron, cascade-correl |
| I.2 ARTIFICIAL INTELLIGENCE | Article |
PERSONALIZED QUESTION-ANSWERING MOBILE SYSTEM |
Abstract: Mobile messaging is an integral and vital part of the mobile industry and contributes significantly to
worldwide total mobile service revenues. In today’s competitive world, differentiati |
| I.5.1 Models | Article |
POLLEN GRAINS RECOGNITION USING STRUCTURAL APPROACH AND NEURAL NETWORKS |
Abstract: This paper describes the problem of automated pollen grains image recognition using images
from microscope. This problem is relevant because it allows to automate a complex process of polle |
| I.2.6 Learning | Article |
POLYNOMIAL APPROXIMATION USING PARTICLE SWARM OPTIMIZATION OF LINEAR ... |
Abstract: This paper presents some ideas about a new neural network architecture that can be compared to a Taylor
analysis when dealing with patterns. Such architecture is based on lineal activation |
| I.2.6 Learning | Article |
Polynomial Regression using a Perceptron with Axo-axonic Connections |
Abstract: Social behavior is mainly based on swarm colonies, in which each individual shares its knowledge about
the environment with other individuals to get optimal solutions. Such co-operative mod |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
PRESENTATION OF ONTOLOGIES AND OPERATIONS ON ONTOLOGIES IN FINITE-STATE ... |
Abstract: A representation of ontology by using finite-state machine is considered. This representation allows introducing the operations on ontologies by using regular algebra of languages. The opera |
| I.2.5 Programming Languages and Software | Article |
PRINCIPLES OF THE DEVELOPMENT OF INTERACTIVE QUERY EXPERT SYSTEMS |
Abstract: This paper describes the principles for the development of interactive query or question-answer expert systems (ES) in the Multi Studio software environment in Multi (the universal language) |
| I.4.8 Scene Analysis | Article |
PROBABILISTIC ESTIMATION OF TRUST MODEL AND THREAT RESISTANCE ANALYSIS IN ... |
Abstract: Trust and reputation models play an important role in enabling trusted computations over large-scale
distributed Grids. Many models have been recently proposed and implemented within trust |
| I.2 ARTIFICIAL INTELLIGENCE | Article |
PROBLEM AND MATHEMATICAL MODELS FOR RESCUE TECHNICS ACQUISITION |
Abstract: In this paper the problem decision technology for resque technics acquisition with use multiobjective
optimization, method of the variant's consecutive analysis and evolutionary modeling is |
| I.6 SIMULATION AND MODELING | Article |
PROBLEM OF RESTORING THE FUNCTIONS-SIGNALS BY FINITE SET OF DATA WITH ERRORS |
Abstract: This paper researches the problem of restoring the functions-signals which allow a spectral
representation by a finite set of data which is corrupted by errors. The authors consider the cas |
| I.2.4 Knowledge Representation Formalisms and Methods | Article |
PROCESSING SETS OF CLASSES’ LOGICAL REGULARITIES |
Abstract: The paper considers two methods for processing sets of logical regularities of classes (LRC)
found by training samples analysis. The first approach is based on the minimization of logical
|
| I.5.2 Design Methodology | Article |
PRODUCT QUALITY ANALYSIS USING SUPPORT VECTOR MACHINES |
Abstract: This paper presents an exploratory study of the effectiveness of support vector machines in the
prediction of a product quality based on its characteristics. The study answers the following |
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