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    ARTIFICIALLY INTELLIGENT CONVERSATIONAL CHATBOTS: MAIN TYPES, PROGRAMMING ISSUES, AND POSSIBLE SOLUTIONS
    (2021 International Young Scholars' Conference, 2021) Momonov G.
    Abstract In recent years, artificially intelligent (AI) conversational chatbots have become widely used and proved to be a practical and effective support tool in many areas. Advances in machine learning and neural networks have made such proliferation of AI chatbots possible, yet there are still many programming issues and challenges in developing chatbots for various specific domains of human activity. This paper reviews types of artificially intelligent conversational chatbots and programming issues associated with each type. The following main types of chatbots are discussed: 1) script-based chatbots, 2) database-based chatbots, and 3) natural language processing-based chatbots. Key programming challenges in creating chatbots and existing solutions are reviewed.
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    Development of an Exam application using Adaptive Learning algorithms
    (2013) Syzdykov R.
    Web-based exams are becoming increasingly popular in the last years; however, most of the exams developed using static exam content, so that students access to the same content irrespective of different learning backgrounds, learning styles, knowledge levels and abilities. It's a challenge to develop advanced Web-based exam application that can offer both adaptivity and intelligence. This study presents a novel approach to design an exam application which includes major adaptive features. The student, domain and exam content are separately designed to support adaptive learning. Application tracks students’ answers during the exam phase. The results are analyzed according to the Item Response Theory (IRT) in order to calculate students’ abilities. The student model is updated based on exam results. The updated student model is used to generate learning style and knowledge level of each learner.
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    Основы языка программирования C++
    (Suleyman Demirel University, 2015) Жапаров М. К.
    Учебно-методическая разработка «Microlearning in Programming Language C++:» предназначена для бакалавров по специальностям 5В03000 — «Информационные Системы» и 5В040000 — «Вычислительная Техника и Программное Обеспечение». Учебный материал основная задача которого — объяснить новичку язык программирования С++, с основ и до новейших особенностей, в том числе такие понятия, как: массивы, структуры, списки, файлы, строки, функции, шаблоны.
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    Research models and methods for science strategic planning
    (Faculty of Engineering and Natural Science, 2024) Abdrakhym A.
    The purpose of this thesis is research models and methods for strategic science planning, to develop a website to showcase potential partners from 520 international universities around the world, which further facilitates collaboration. I hope to contribute to the development of strategic planning in the field of science in Kazakhstan by establishing links between scientists and promoting international cooperation. Using methods of analysis and data collection from various sources, the study established links between Kazakhstan’s scientists and the international scientific community. Using network analysis and statistical methods, the most positive areas of research in Kazakhstan and areas of international cooperation have been identified.
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    ENSEMBLE LEARNING ALGORITHMS IN PATTERN RECOGNITION TASKS
    (СДУ хабаршысы - 2017, 2017) Kabulov B.M.; Aitbayev Y.K. ; Amirgaliyev Y.N.
    Abstract. There has been growing interest in pattern recognition tasks in the last decade. This is determined by the prevalence of the problems that is being solved in recognizing images and characters, scene analysis, technical and medical diagnostics, signal identification, analysis of expert data, speech recognition, creation of expert and artificial intelligence systems. The article is devoted to the topic of collective decision-making models in automated intellectual systems. The application of such models for pattern recognition problems is being considered. What is meant by the term «collective recognition» is the task of using multiple classifiers, each of which will decide on the class of one entity with the subsequent coordination of their decisions with the help of a certain algorithm.
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    COMPARATIVE ANALYSIS OF FACE RECOGNITION ALGORITHMS IN THE PROBLEM OF VISUAL IDENTIFICATION
    (СДУ хабаршысы - 2021, 2021) Sadyk U. ; Tursyn D. ; Sarsenbay Sh. ; Aitimov A.
    Abstract. The article is devoted to two approaches to face recognition implemented in the visual identification software package. The corresponding algorithms are described, flowcharts and fragments of their software implementation are given, and the results of their applicability are analyzed on the basis of the conducted research.
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    О РАЗРАБОТКЕ ПРИЛОЖЕНИЯ ДЛЯ УПРАВЛЕНИЯ МОБИЛЬНЫМ РОБОТОМ
    (Suleyman Demirel University, 2015) Амиргалиев Е.Н.; Ловазов Т.З.; Джолдасбаев С.К.; Мустафин С.А.
    В статье рассматриваются вопросы создания управления через сервер робототехническими системами, а также вопросы разработки программного обеспечения управления роботами с помощью облачных технологий.
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    MULTI-FUNCTIONAL PROGRAMMABLE LED CUBE (WITH ARDUINO)
    (Suleyman Demirel University, 2013) Bayekeyeva A.
    In 2011, in his message to the nation, the head of state Nursultan Nazarbayev, said that it is necessary to introduce new technologies in the educational process and to give a more time-consuming for the furtherdevelopment of the latest technologies in Kazakhstan. So,Arduino is one of them If I’m not mistaken, Arduino microcontroller is used in KZ, only the second year. Arduinoan electronic designer, with an open architecture for easy prototyping devices and programs for them. It is designed for professionals, inventors, hobbyists, and for anyone who wants to create an electronic device.
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    Creation of effective chatbots based on neural networks
    (Faculty of Engineering and Natural Sciences, 2023) Yermek D.
    This paper presents a comprehensive exploration of the development process for a neural network-based chatbot. Given the increasing popularity of neural networks and chatbots in recent years, investigating the creation process of such a chatbot is both pertinent and valuable. The primary objective of this study is twofold: first, to construct an effective chatbot, and second, to identify the most precise model for text classification. Furthermore, the paper delves into the mathematical aspects of creating a chatbot and provides a detailed explanation of neural networks. The initial step in our project involved the creation of a database containing a sufficient number of student questions, which were then categorized into ten distinct categories. ‘To achieve this, we carefully selected the ten most commonly asked questions and generated multiple paraphrased versions of each question. These variations were employed for training and evaluating our models. During the course of our research, we identified three text classification models that proved to be the most suitable for our purposes: Multinomial Logistic Reeression, Naive Bayes, and Neural Network. We conducted extensive tests using these models and documented the results in a table, providing a comprehensive analysis of their performance. Following the successful completion of the database collection and the identification of the optimal text classification model, we proceeded to create the chatbot using DialogF low. Additionally, we integrated our chatbot into the Telegram messenger for wider accessibility and user convenience.
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    ЖАҢА ТЕХНОЛОГИЯЛАР АРҚЫЛЫ ҚАЗАҚСТАННЫҢ СӘУЛЕТТІҢ ХАЛЫҚАРАЛЫҚ КЕҢІСТІГІНЕ БІРЛЕСУІ
    (Қазақстан ғылымының дамуы мен келешегі жастар көзімен - 2018, 2018) Қайдаров А.Ш.
    Бұл мақалада бүгінгі таңда кəсіби архитекторлар арасында архитектурада технологияларды зерттеуге жəне дамытуға бағытталған көпшілікке танымал зерттеулер қарастырылады. Сəулет саласындағы цифрлық технологияның рөлі қандай? Цифрлық технологиялардың көмегімен құрылған сəулет автоматты түрде цифрланады деп айтуға бола ма? Осы ұғымдардың шекаралары бұлыңғыр, əркім оларды өз бетімен түсінеді. Сондықтан, цифрлық архитектураны анықтау жəне оның мүмкін бағыттарын жіктеу ұсынылады. Қазіргі заманғы үй тұжырымдамасы интерьер дизайнын ғана емес, сонымен қатар сауатты ұйымдастырылған ішкі кеңістікті жəне тұрмыстық техниканың əр алуан түрін де қамтиды. Толық үй - бірінші кезекте сүйікті үйде жайлы демалыс жасауға мүмкіндік беретін ыңғайлы тіршілік ортасы. Нəтижесінде пəтерлер мен коттедждердің инженерлік жабдықтары күрделене түсуде, ал бұл ортаны қалыптастыруға тартылған аспаптар саны өсіп келеді. Барлық жүйелерді хост арқылы басқару ыңғайсыз жəне қауіпті. «Ақылды үй» интеграцияланған басқару жүйесі бұл мəселені шешу үшін барлық қарапайым жұмыстарды орындай алады.