389 results
Search Results
Now showing 1 - 10 of 389
Item Open Access 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.Item Open Access 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.Item Open Access 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.Item Open Access 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.Item Open Access 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.Item Open Access 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.Item Open Access 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.Item Open Access Study of the transformation of Kazakh language speech into text data(Faculty of Engineering and Natural Science, 2024) Kursabayeva A.The transformation of speech into text data is a key component in the development of modern language technologies and artificial intelligence. Despite significant advances in this field, support for languages with unique grammatical and phonetic characteristics, such as Kazakh, remains a challenge. The purpose of this study is to analyze the existing method of converting speech in the Kazakh language into text and evaluate their effectiveness. The research methodology includes the analysis of the VOSK model for speech transformation in the Kazakh language. An experimental study is being conducted based on the KazakhTTS dataset using machine learning and natural language processing methods. The results of the experiment, presented as an indicator of the error rate in the word (WER), showed that VOSK big and VOSK small have almost the same indicators (51% and 53% respectively). It was also noted that there are limitations in recognizing word endings and that some errors occur during speech recognition. The discussion of the results highlights the potential of the model and points to the need for further improvement and training in working with more diverse data. In conclusion, the key conclusions are outlined, as well as potential directions for further research in the field of Kazakh speech recognition.Item Open Access Profession inclination identification using machine learning(Suleyman Demirel University, 2021) Talasbek A.L.General characteristics of research. The given work is devoted to the research and development of an application that suggests recommendations for future profession selection based on the personal characteristics of a person by identifying professional inclinations. Relevance. Currently, the Kazakhstan market has virtually no systems for profession inclination identification. Modern society makes new demands on performance and professionalism. However, high levels of professionalism suggest a full disclosure of the potential of the individual, which is impossible without taking into account the personal characteristics of an individual. Many of the questionnaires conducted by organizations do not sufficiently define and describe the type of person for appointment, selection of personnel for certain special programs, and do not give a reliable result about the person in question whether the person will cope with certain official duties.Item Open Access Speech Recognition of Kazakh Language(Faculty of Engineering and Natural Science, 2020) Aitimov K.In this research, an overage implementation of speech recognition revised. Here you can find algorithms and logic of how to convert digital signal into reasonable text. In common, all the signals recorded in m4a file format. You also will learn how to convert sound waves into digital signals, so you can use it wherever you like. In our days IT, technologies are expanding in an exponential level. There are many robots, which can understand human speech. Why we can’t create one of our own? Kazakh language will also be presented in technology world. That is our goal!