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Browsing Theses and Dissertations by Title

Browsing Theses and Dissertations by Title

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  • ATOMIC-LEVEL INSIGHT INTO ADSORPTION OF POLYPHOSPHATE SUPERPLASTICIZERS ON CALCIUM SILICATE HYDRATE SURFACES 
    Rakhmatulla, Samal (Nazarbayev University School of Engineering and Digital Sciences, 2021-05)
    This study is dedicated to atomic-level observations of the adsorption of polyphosphate superplasticizers on calcium silicate hydrate (C-S-H) surface. Phosphate-based comb-shaped polymers represent a new type of concrete ...
  • ATTENTION-BASED DEEP LEARNING MODEL FOR FACIAL EXPRESSION RECOGNITION 
    Kairzhanov, Alimzhan (Nazarbayev University School of Engineering and Digital Sciences, 2022-07)
    Facial expression recognition is an active area of research in computer vision and deep learning, which has become popular in recent decades. The results of these studies are used in psychology, behavioral science and ...
  • AUDIO-VISUAL SPEECH RECOGNITION USING VISUAL AND THERMAL IMAGES 
    Koishybayeva, Zhaniya (Nazarbayev University School of Engineering and Digital Sciences, 2021-08)
    In this thesis I examine the hypothesis that the performance of lipreading systems can be improved by including thermal image data in combination with the usual visual image streams. I test the hypothesis by constructing ...
  • AUGMENTED REALITY-BASED HUMAN MEMORY ENHANCEMENT USING ARTIFICIAL INTELLIGENCE 
    Makhataeva, Zhanat (Nazarbayev University, School of Engineering and Digital Sciences, 2023-11-23)
    This thesis presents a novel approach to augmenting human memory using emerging technologies of augmented reality (AR), computer vision (CV), and artificial intelligence (AI). The newly proposed system creates an external ...
  • AUTONOMOUS TREE LABELING AND RECOGNITION 
    Almakhan, Symbat (School of Engineering and Digital Sciences, 2023)
    The process of data labeling is a critical step in the machine learning workflow since the quality and accuracy of the labeled data can significantly impact the performance of the trained models. Data labeling can be ...
  • BALANCING OF PERSONAL AND GROUP GOALS FOR AGENTS USING MULTI-AGENT REINFORCEMENT LEARNING 
    Zhabinets, Maxim (Nazarbayev University School of Engineering and Digital Sciences, 2022-04)
    The number of AI agents in the world is increasing every day and they will need to interact with each other. It is in humanity’s best interest to teach these agents to respect the goals of others and live in harmony. In ...
  • BATTERY STATE OF HEALTH DETERMINATION THROUGH VARIOUS TECHNIQUES 
    Serik, Yerkin (School of Engineering and Digital Sciences, 2023)
    In the 21st century, there has been a significant increase in demand for electric vehicles and energy storage technology. To meet this demand, various technologies have been developed, including lithium-ion batteries, ...
  • BIBLIOMETRIC ANALYSIS OF SCIENTIFIC PUBLICATIONS DEVOTED TO SUSTAINABLE DEVELOPMENT GOAL 13 USING NLP TECHNIQUES 
    Pentayev, Alpamys (Nazarbayev University School of Engineering and Digital Sciences, 2022-05)
    Improvements in search engines for traditional text documents have made it possible to retrieve massive text information with efficient use of resources efficiently. As the number of published scientific articles on ...
  • BICONTINUOUS MICROEMULSION APPROACH TO DESIGN CONDUCTING COMPOSITE MATERIALS FOR ENERGY STORAGE 
    Yeszhan, Yelriza (School of Engineering and Digital Sciences, 2023)
    In order to achieve good performance, it is important to control both the morphological and electrochemical characteristics of the electrode materials. In this regard, it is crucial to propose an appropriate synthesis ...
  • Biomimetic Scaffolds for Ligament Tissue Engineering Applications 
    Mukasheva, Fariza (Nazarbayev University School of Engineering and Digital Sciences, 2020-05)
    Ligament is the soft tissue that connects bone to bone and, in case of severe injury or rupture, it cannot heal itself mainly because of its poor vascularity and dynamic nature. High failure rates of surgical treatment and ...
  • BLACK HOLE/MOVING MIRROR CORRESPONDENCE IN (1+1)-DIMENSIONS 
    Myrzakul, Aizhan (Nazarbayev University, School of Engineering and Digital Sciences, 2023-11-10)
    The Hawking effect predicts that black holes can emit particles and energy when quantum mechanical effects are taken into account in quantum atmosphere around the black hole. However, certain models of black holes emit ...
  • Boundary layer receptivity and resonance caused by tuned disturbances within cascade flows 
    Rojas-Solorzano, L. (Nazarbayev University School of Engineering and Digital Sciences, 1997-05-10)
    The receptivity and stability of steady non-separated and unsteady separated boundary layers in a two-dimensional airfoil cascade flow is investigated by Direct Numerical Simulation of the time-dependent Navier-stokes and ...
  • BRAIN TUMOR SEGMENTATION USING DEEP LEARNING MODELS 
    Khalyk, Saltanat (Nazarbayev University School of Engineering and Digital Sciences, 2022-04)
    Brain tumor is the abnormal growth of cells in a brain and they can be benign and malignant, and malignant ones are considered to be cancerous. There are over 120 types of brain tumor regarding its shape, size and region ...
  • BUILDING INFORMATION MODELING (BIM)-BASED BUILDING SUSTAINABILITY ASSESSMENT FRAMEWORK: CASE OF KAZAKHSTAN 
    Akhanova, Gulzhanat (Nazarbayev University School of Engineering and Digital Sciences, 2021-03)
    The building industry has a myriad of adverse effects on the environment that raises the demand for sustainable buildings. Several Building Sustainability Assessment Systems (BSAS) have been developed globally to identify ...
  • CAN GEOPOLYMER CONCRETE BECOME A KEY MATERIAL TO UTILIZE BASIC OXYGEN FURNACE SLAG (BOFS) AS CONSTRUCTION MATERIAL? 
    Kareken, Gulfairuz (School of Engineering and Digital Sciences, 2023)
    Basic oxygen furnace slag (BOFS) is the hard waste created when molten iron is treated in a basic oxygen furnace during the steelmaking process. Despite its good hardness and strength properties, the free lime (f-CaO) and ...
  • CAUSALITY IN TIME SERIES FOR MULTIVARIATE DATA 
    Rashit, Agibay (School of Engineering and Digital Sciences, 2023)
    In this thesis, we investigate the behavior of conditional correlations among major cryptocurrencies. Our findings suggest that correlations between cryptocurrencies are positive, but vary over time. However, determining ...
  • CERVICAL SPINE FRACTURE LOCALIZATION USING SEMI-SUPERVISED LEARNING 
    Abdikhan, Birzhan (School of Engineering and Digital Sciences, 2023)
    Cervical spine fracture localization in medical images is a challenging task that requires a large amount of labeled data for accurate diagnosis. However, obtaining labeled data is time-consuming and difficult, which ...
  • CFD Modelling of Oil-Water Multiphase Flow in Horizontal Concentric Annuli with a Multiple-Size Group Approach 
    Shansharov, Askar (Nazarbayev University School of Engineering and Digital Sciences, 2018-12)
    Multiphase flow is a simultaneous movement of several immiscible phases, such as gas, oil, water and solid particles, and it is observed in petroleum industry in a wide area of operations. The most expected flow conduit ...
  • CFD Multiphase Modeling of Blood Cells Segregation in Flow through Microtubes 
    Supiyev, Rakhim (Nazarbayev University School of Engineering and Digital Sciences, 2017-12-15)
    Cardiovascular diseases, commonly referred as Heart Diseases, involve heart and blood vessels associated to the cardiovascular system. So called blood wetted medical devices are widely used in treatment of heart diseases ...
  • CFD multiphase modeling of blood cells segregation in flow through microtubes 
    Ormanaliyev, Anuar (Nazarbayev University School of Engineering and Digital Sciences, 2019-01)
    Development of a proper blood damage model is important step in future evolution of the blood wetted devices. The mentioned model on the other hand, requires an accurate blood cell segregation prediction. Blood segregation ...