PHD

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https://repository.sdu.edu.kz/handle/123456789/1253

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Now showing 1 - 7 of 7
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    Advisory system for adapting a single machine problem to a distributed solution
    (SDU University, 2024) Orynbekova Kamila
    General characteristics of the work. The work encompasses developing an advisory system to recommend solutions for single-machine problems adaptable to distributed systems, mainly focusing on implementation within the MapReduce platform. Methodologically, an experiment evaluated learning effectiveness, while extensive data collection informed model development. Predictive models, including Naive Bayes and Logistic Regression, were optimized and integrated into a recommendation system validated through rigorous evaluation. The aim of the research is to develop an advisory system that recommends single-machine problem solutions that adapt to distributed systems and are suitable for implementation on the MapReduce platform.
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    Development of methods, algorithms of machine learning for Kazakh speech recognition
    (Suleyman Demirel University, 2021) Kuanyshbay D.N.
    Automatic speech recognition system is on its way to reach its full potential mainly because of the significance of the field and rapid growth of the speech data. However, the growth of speech recognition for low-resourced languages like Kazakh is not observed, since there is not enough data and there is no automated tool for data collection. All existing speech recognition models for Kazakh language are based on datasets that were collected locally and manually, which makes these datasets private and inaccessible for other researchers to use them. Manual speech data collection requires a lot of time and effort, which may not match the quality requirements. Low quality speech data may ultimately affect the performance of speech recognition model considerably. This research work focuses on two important steps of building reliable automatic speech recognition system for Kazakh language – 1) construction of automated speech data collection system, 2) application of transfer learning to recurrent neural network. Automatic data collection system is based on a website, which perfectly segments the audio data and separates these audio files with corresponding transcriptions by speakers. As a result system produced around 100 hours of speech data, which in terms of structure is suitable for neural network to train. Transfer learning technique is based on Russian speech recognition model, which transfers all weights to the neural network that built for Kazakh language. Using transfer learning multilingual Automatic speech recognition model was obtained, which outperforms the simple LSTM based model by 32% and BiLSTM model by 24% (in terms of Label Error Rate).
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    Development of supervisorship system with tracking progress and the use of artificial intelligence
    (SDU University, 2024) Serek Azamat
    The Supervisorship service has been developed with the feature to match students to supervisors based on psychological perceptions through multidimensional analysis of matching algorithms and the feature to track students’ progress. This study explores the utilization of four distinct algorithms for the purpose of student-supervisor matching. A comprehensive evaluation of these algorithms is conducted, encompassing a variety of metrics including preference satisfaction, workload balance, time and space complexities, minimum and maximum workload, and compatibility scores which this work introduced.
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    Open Vocabulary Model for Kazakh Language using Deep Neural Networks
    (Suleyman Demirel University, 2021) Sultanova N.Zh.
    Assessment of the current state of the scientific and technological problem being solved. For the past 25 years there has been a demand for software solutions related to text processing, which has repeatedly experienced periods of growth, related to the emergence of personal computers, and with the rapid development of the Internet, and the rapid development of the Internet, and, In this natural language remains the most important way of communication, be the input of the search query on the miniature screen of the mobile phone, hints of the car navigator or business correspondence. Practically in all such applications such or otherwise the language model is used. So, for a convenient input of texts on a mobile phone, it is necessary to use the predicate input system, which practically corresponds to the direct application of the language model; language model - an indefinite part of the system of speech recognition, including volume and vocal search; Linguistic models are used in machine translation systems, the quality of which at the moment is still far from ideal, but still grows steadily
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    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.
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    Research and Development of Intelligent Testing System based on Android Platform
    (Suleyman Demirel University, 2014) Bogdanchikov A.V.
    This thesis is devoted to developing advanced methods for intelligent testing system to test students’ knowledge and inspire prudent motivation to study. Set of methods are compared and stressed advantages and drawbacks of each, given different approaches in teaching students’ modern technologies. For some methods provided practical implementation on Android platform.
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    The Methodology of Using Active Learning Methods in Teaching Mathematical Analysis Courses to Students
    (2022) Abdullah Almas
    Relevance of the work: The demand for specialists in mathematics and natural sciences should be said that is growing all over the world. Many governments and private organizations have modernized STEM education to effectively meet this demand and promote teaching to improve students’ mathematical skills. Recently, a lot of academics and organizations have emphasized that for students to succeed beyond graduation, they must acquire 21st-century skills. According to the study, the most important STEM talents are those that require collaboration, problem-solving, imagination, entrepreneurship, adaptability, critical thinking, initiative, effective community, access to information, analysis, and curiosity.