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15th International Scientific and Practical Conference on Environment. Technology. Resources, ETR 2024

作者： Kerimov, Komil Azizova, Zarina Bekkamov, Fayzi Rakhimov, Mekhriddin Ochilov, Mannon Department of System and Applied Programming Tashkent University of Information Technologies Named after Muhammad al-Khwarizmi Tashkent Uzbekistan Department of Information Security Tashkent University of Information Technologies Named after Muhammad al-Khwarizmi Tashkent Uzbekistan Department of Library Information Systems Tashkent University of Information Technologies Named after Muhammad al-Khwarizmi Tashkent Uzbekistan Department of Computer Systems Tashkent University of Information Technologies Named after Muhammad al-Khwarizmi Tashkent Uzbekistan

ISBN: (纸本)9781713899570

Scientific and scientific-technical information is a valuable tool for the development of education, technology and society as a whole. The increase in the volume of information and the development of information networks of data exchange requires special means to ensure information protection of data. Methods, means and systems for information security of scientific, technical and scientific-educational resources in intellectual information systems are of particular importance. The purpose of the research is to develop methods and software tools to ensure information security of valuable scientific and technical information resources in intelligent information systems. The proposed solution for intrusion detection in intelligent system is a web application firewall, which is used for enhanced security, detecting and preventing attacks before they reach the web application. It will protect the system from a whole range of attacks while allowing HTTP traffic monitoring and analyzing small changes or persistent state online. The Web Application Firewall (WAF) has the following features: logging of all HTTP protocol transactions, including request termination permissions and logging of the response;HTTP traffic can be examined in real time to detect attacks;preventing attacks before they reach the web application. This work is performed within the framework of the project on creation of an integrated intelligent system "SMART TUIT", which includes several subsystems (Information Retrieval, Voice Recognition, Pattern Recognition, Scientific Information Assessment, Geoinformation System). © 2024 Komil Kerimov, Zarina Azizova, Fayzi Bekkamov, Mekhriddin Rakhimov, Mannon Ochilov.

关键词： Intelligent systems

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Numerical Solution of Fuzzy Volterra Integral Equations with Piecewise Continuous Kernels: Successive Approximation

Numerical Solution of Fuzzy Volterra Integral Equations with...

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第43届中国控制会议

作者： Samad Noeiaghdam Denis Sidorov Fang Liu Industrial Mathematics Laboratory Baikal School of BRICS Irkutsk National Research Technical University Department of Applied Mathematics and Programming South Ural State University Department of Applied Mathematics Melentiev Energy Systems Institute Siberian Branch of Russian Academy of Sciences

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This study aims to discuss the existence and uniqueness of solution of fuzzy Volterra integral equations with piecewise continuous kernels. These types of problems are often encountered in balancing issues for systems with hereditary dynamics,such as electric load leveling. The method of successive approximations is applied and the main theorems are proved based on the method. Some examples are discussed and the results are presented for different values of μ by plotting several graphs. In order to show the accuracy of the method, the results have compared with the homotopy analysis method.

关键词： Fuzzy Volterra integral equation Piecewise kernel Successive approximation Error estimation

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Applications of Fuzzy Logic in Recruitment systems

Applications of Fuzzy Logic in Recruitment Systems

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2022 International Conference on Information Science and Communications Technologies, ICISCT 2022

作者： Medetova, Kunduz Sultanov, Djamshid Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of System and Applied Programming Tashkent Uzbekistan Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of Hardware and Software of Management Systems in Telcommunications Tashkent Uzbekistan

ISBN: (纸本)9781665472296

This paper presents methods for solving problems using the method of fuzzy logic. This method serves to study the characteristics of determining the level of compliance of a candidate for an existing vacant position. When measuring compliance with database requirements based on the results of assessing compliance with the requirements of an employee for a position. The use of artificial intelligence in personnel records gives high efficiency and serves for decision making. © 2022 IEEE.

关键词： Fuzzy logic

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Creating a Dynamic Online Learning Environment with AI Integration

Creating a Dynamic Online Learning Environment with AI Integ...

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International Computer Sciences and Information Technologies (CSIT)

作者： Oleksandra Bulgakova Zarina Viniarska Viacheslav Zosimov P.M Platonov Educational and Scientific Institute of Computer Engineering Automation Robotics and Computer Programming Odesa National University of Technology Odesa Ukraine Department of Applied information systems Taras Shevchenko National University of Kyiv Kyiv Ukraine

ISBN: (数字)9798331542634

ISBN: (纸本)9798331542641

Educational, online learning has become a common practice due to rapid digitalization and recent global events. This study focuses on developing a comprehensive online learning platform that addresses users' needs by integrating advanced AI capabilities for personalized support and adaptive learning. The platform supports user registration and authentication, course and lesson management, and offers interactive features like AI-driven chat support. In this study, we show the importance of creating user-friendly online learning platforms with the implementation of modern AI trends. The development and testing of this platform is ongoing to determine the adaptation of the system to different learning styles.

关键词： Adaptive learning Electronic learning Authentication Passwords Market research Real-time systems Artificial intelligence Information technology Standards Testing

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Machine learning methods as a tool for diagnostic and prognostic research in cardiovascular disease

Machine learning methods as a tool for diagnostic and progno...

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2021 International Conference on Information Science and Communications Technologies, ICISCT 2021

作者： Khidirova, Charos Sadikova, Shakhnoza Mukhsinov, Shamil Nashvandova, Gulrukhsor Mirzaeva, Sarvinoz Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of System and Applied Programming Tashkent Uzbekistan Tashkent State Technical University Department of Information Processing and Control Systems Tashkent Uzbekistan

ISBN: (纸本)9781665432580

Machine learning (ML) methods are the main tool of artificial intelligence, the use of which makes it possible to automate the processing and analysis of big data, to reveal hidden or non-obvious patterns on this basis, and to extract new knowledge. The review presents an analysis of scientific literature on the use of ML methods for diagnosing and predicting the clinical course of coronary heart disease. Provides information on reference databases, the use of which allows you to develop models and validate them (European ST-T Database, Cleveland Heart Disease database, Multi-Ethnic Study of Atherosclerosis, etc.). The advantages and disadvantages of individual ML methods (logistic regression, support vector machines, decision trees, naive Bayesian classifier, k-nearest neighbors) for the development of diagnostic and predictive algorithms are shown. The most promising ML methods include deep learning, which is implemented using multilayer artificial neural networks. It is assumed that the improvement of models based on ML methods and their introduction into clinical practice will help support medical decision-making, improve the effectiveness of treatment and optimize health care costs. © 2021 IEEE.

关键词： Support vector machines

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Applications of Fuzzy Logic in Recruitment systems

Applications of Fuzzy Logic in Recruitment Systems

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International Conference on Information Science and Communications Technologies (ICISCT)

作者： Kunduz Medetova Djamshid Sultanov Department of system and applied programming Tashkent university of information technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan Department of hardware and software of management systems in telcommunications Tashkent university of information technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan

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Speaker's Emotions Recognition Module Based on the GoogleLeNet Neural Network

Speaker's Emotions Recognition Module Based on the GoogleLeN...

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2022 International Conference on Smart Information systems and Technologies, SIST 2022

作者： Tereikovskyi, Ihor Tereikovska, Liudmyla Kryvoruchko, Olena Tereikovskyi, Oleh Tyshchenko, Dmytro Franchuk, Tamara National Technical University Of Ukraine Igor Sikorsky Kyiv Polytechnic Institute Dept. Of System Programming And Specialized Computer Systems Kyiv Ukraine Kyiv National University Of Construction And Architecture Dept. Of Information Technology For Design And Applied Mathematics Kyiv Ukraine Kyiv National University Of Trade And Economics Dept. Of Software Engineering And Cyber Security Kyiv Ukraine National Technical University Of Ukraine Igor Sikorsky Kyiv Polytechnic Institute Dept. Of Department Of Computer Engineering Kyiv Ukraine

ISBN: (数字)9781665467902

ISBN: (纸本)9781665467902

The article is devoted to the development of means for recognition of the emotions of the speaker, based on the neural network analysis of fixed fragments of the voice signal. The possibility of improving recognition tools through the use of a convolutional neural network of the GoogLeNet type is shown. The expediency of training the network on the examples of the TESS database is determined. A procedure for representing a voice signal in the form of a square grayscale image has been developed. Based on the use of the specified database, the modification of the GoogLeNet network was carried out. The architecture and software implementation of the recognition module have been developed. With the help of computer experiments, it has been established that after 150 epochs of training on a fairly limited training sample, the modified GoogLeNet makes it possible to achieve an accuracy of recognition of the speaker's emotions of approximately 0.97 on test examples. The obtained accuracy is comparable to the accuracy of the best modern systems of this purpose and confirms the promise of using neural network models like GoogLeNet for emotion recognition based on voice signal analysis. The need for further research aimed at reducing the resource intensity of the neural network model is shown. © 2022 IEEE.

关键词： Emotion Recognition

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Sentiment Analysis Technology of English Newspapers Quotes Based on Neural Network as Public Opinion Influences Identification Tool

Sentiment Analysis Technology of English Newspapers Quotes B...

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International Computer Sciences and Information Technologies (CSIT)

作者： Serhii Voloshyn Victoria Vysotska Oksana Markiv Ivan Dyyak Ihor Budz Vadim Schuchmann Information Systems and Networks Department Lviv Polytechnic National University Lviv Ukraine Lviv Polytechnic National University Lviv Ukraine Osnabrück University Osnabrück Germany Applied Mathematics Department Ivan Franko National University of Lviv Lviv Ukraine Computational Mathematics and Programming Department Lviv Polytechnic National University Lviv Ukraine Software Engineering Department West Ukrainian National University Ternopil Ukraine

ISBN: (纸本)9798350334326

This article dwells upon research concerning human language processing techniques, namely emotion analysis, conducted to identify emotions of author quotations in English newspaper articles. The publication describes general information about human language processing, brief description of analogues based on machine learning and neural network to analyse emotions in text. The main goal is to develop intelligent system for sentiment analysis of English language quotations and keywords identification that influences public opinion. The article describes sequence of program actions and tools that have been used. Then, statistics of tasks performed by neural networks with various functions of activators have been described. In the publication, product demo version has been described, and primary usage scenario has been depicted. In the end, research results have been summarised.

关键词： Training Sentiment analysis Vocabulary Dictionaries Mood Neural networks Text categorization

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Design of a model for disinfection robot system

Design of a model for disinfection robot system

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2020 International Conference on Information Science and Communications Technologies, ICISCT 2020

作者： Nosirov, Khabibullo Begmatov, Shohruh Arabboev, Mukhriddin Medetova, Kunduz Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of Television and Radio Broadcasting Systems Tashkent Uzbekistan Tashkent University of Information Technologies Named after Muhammad Al-Kwarizmi Department of Hardware and Software of Control Systems in Telecommunications Tashkent Uzbekistan Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of Systems and Applied Programming Tashkent Uzbekistan

ISBN: (纸本)9781728199696

Following for hygiene and sanitation requirements have always been the most significant factor to stay healthy in human life. Proper cleaning and sanitation measures are one of the important ways to fight against various viruses. In recent years, the use of modern technology in sanitation has helped to fight against infectious diseases. One such modern technology is disinfection robot. Disinfection robots are increasingly used in all around the world. Use of these disinfection robots reduce the risk of infection, cost of traditional cleaning and disinfection, and most importantly acquires confidence and security of individuals. In this paper, we design a model for robot-disinfector. This robot is inspired on/from a technique, which consists of disinfecting places autonomously in order to save human life from infections. The main advantages of the designed robot are the novelty, multi-functionality, and the availability at an affordable cost. © 2020 IEEE.

关键词： Robots

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Polynomial spline collocation method for solving weakly regular Volterra integral equations of the first kind

arXiv

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arXiv 2021年

作者： Tynda, Aleksandr Noeiaghdam, Samad Sidorov, Denis Higher and Applied Mathematics Department Penza State University Penza440026 Russia Industrial Mathematics Laboratory Baikal School of BRICS Irkutsk National Research Technical University Irkutsk664074 Russia Department of Applied Mathematics and Programming South Ural State University Lenin prospect 76 Chelyabinsk454080 Russia Energy Systems Institute Siberian Branch of Russian Academy of Science Irkutsk664033 Russia Institute of Mathematics and Information Technologies Irkutsk State University Irkutsk664025 Russia

The polynomial spline collocation method is proposed for solution of Volterra integral equations of the first kind with special piecewise continuous kernels. The Gauss-type quadrature formula is used to approximate integrals during the discretization of the proposed projection method. The estimate of accuracy of approximate solution is obtained. Stochastic arithmetics is also used based on the Contrôle et Estimation Stochastique des Arrondis de Calculs (CESTAC) method and the Control of Accuracy and Debugging for Numerical Applications (CADNA) library. Applying this approach it is possible to find optimal parameters of the projective method. The numerical examples are included to illustrate the efficiency of proposed novel collocation *** Codes 45H05, 65R20 © 2021, CC BY.

关键词： Integral equations

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