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Browsing Theses and Dissertations by Title

Browsing Theses and Dissertations by Title

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  • NON-ODDBALL ERP PARADIGMS WITH JOINT TEMPORAL-FREQUENCY LEARNING IN CONVOLUTIONAL NEURAL NETWORK 
    Saparbayeva, Madina (Nazarbayev University School of Engineering and Digital Sciences, 2022-04)
    Brain-Computer Interface (BCI) helps people who have a severe disease to interact with external devices. Event-Related Potential (ERP) based BCI systems send stimuli, then detect brain signals responding to stimuli. ...
  • NOVEL MARKER FOR RHEUMATOID ARTHRITIS DISEASE ACTIVITY 
    Myngbay, Askhat (Nazarbayev University School of Engineering and Digital Sciences, 2020)
    RATIONALE: Rheumatoid arthritis (RA) is a chronic autoimmune disease, characterized by pain in affected joints, stiffness, and symmetrical synovitis. Synovial membrane inflammation of diarthrodial joints is a distinctive ...
  • A NOVEL MULTI-TASK LEARNING APPROACH FOR COMPOUND-PROTEIN BINDING AFFINITY PREDICTION 
    Karatayev, Mukhamejan (Nazarbayev University School of Engineering and Digital Sciences, 2022-04)
    The accurate prediction of drug-target interaction (DTI) is an essential component of the drug discovery process. However, traditional methods of drug target validation and screening remain a big challenge, as they are ...
  • NOVEL SECURE SUPERVISORY CONTROL AND DATA ACQUISITION SYSTEM ARCHITECTURE 
    Kussaiyn, Lazzat (Nazarbayev University School of Engineering and Digital Sciences, 2022-04)
    Supervisory Control and Data Acquisition (SCADA) systems are distributed systems commonly used in critical infrastructure to control and monitor the real-time data gathered from field devices at remote sites. SCADA systems ...
  • Numerical Investigation of Drilled Shafts Near an Embankment Slope Under Combined Torque-Ateral Load Scenario 
    Mussabayeva, Aigul (Nazarbayev University School of Engineering and Digital Sciences, 2019-01)
    Mast-arm assemblies used for the support of highway signs, signals, and luminaires are exposed to both torsion and lateral load due to wind loadings. Hence, foundations for overhead cantilever structures should be designed ...
  • THE NUMERICAL SIMULATION AND PERFORMANCE ASSESSMENT OF RIM-DRIVEN TURBINE 
    Zholdybayev, Akezhan (School of Engineering and Digital Sciences, 2023)
    Global warming and rising environmental pollution have pushed scientists and engineers to develop new energy-harnessing methods. One promising solution is converting the kinetic and potential energy contained in water into ...
  • OPTIMAL CONTROLLER DESIGN FOR LEADER-FOLLOWER SYSTEM BETWEEN UGV AND UAV 
    Tassanbi, Aidana (School of Engineering and Digital Sciences, 2023)
    Unmanned vehicles are already in wide use. For instance, they can be applied for military purposes, space exploration, in routine life, delivery services, etc. Unmanned vehicles are in great demand since they can be exploited ...
  • OPTIMAL OPERATION OF MULTI-ENERGY HUBS CONSIDERING DEMAND RESPONSE UNDER UNCERTAINTY 
    Omarov, Serzhan (School of Engineering and Digital Sciences, 2023)
    The renewable energy employment and its application in electricity distribution and sub-transmission network is quite crucial in this century. This is in fact due to greenhouse gases emission growth along with the fossil ...
  • Optimization of Kazakhstan Coals Gasification Process in the Circulating Fluidized Bed Gasification Process 
    Tokmurzin, Diyar (Nazarbayev University School of Engineering and Digital Sciences, 2020-09-25)
    Coal, coke, and semi-coke are critical feedstock for the production of iron and steel. For over a century coke and semi-coke has been produced from coal using the slow pyrolysis thermal treatment process in fixed bed coke ...
  • OPTIMIZATION OF THE REAL-TIME STATE-OF-THE-ART YOLOV4 OBJECT DETECTOR BY MODIFIED NECK STRUCTURE 
    Mussagaliyev, Bibarys (Nazarbayev University School of Engineering and Digital Sciences, 2022-05)
    The state-of-the-art YOLOv4 object detector has already demonstrated its effective inference (65 frames per second (FPS) on V100 Tesla) and relatively high accuracy on MSCOCO dataset (mAP 43.5 %) in real-time mode. ...
  • OXY-FUEL COMBUSTION OF SOLID PARTICLES IN THE DROP TUBE FURNACE 
    Edward, Chukwuemeka (School of Engineering and Digital Sciences, 2023-06)
    Oxy-fuel combustion of solid fuel in a laboratory refers to the process of burning solid fuel in the presence of oxygen enriched gas to produce heat and combustion products, with the aim of studying combustion chemistry ...
  • PACKING OF CYLINDRICAL PARTICLE MIXTURES 
    Iniyatova, Gulfairuz (School of Engineering and Digital Sciences, 2023)
    Particle packing is significant in manufacturing and chemical engineering. Packing densification by vibration is an important process that affects product storage, transportation, and processing. However, most previous ...
  • PACKING STRUCTURE OF POWDER COMPACTS 
    Boribayeva, Aidana (Nazarbayev University School of Engineering and Digital Sciences, 2021-05)
    The particle packing process is the major step in manufacturing of high-performance products and materials production in many industries. The shape and size of particles are the most important factors influencing the packing ...
  • PARADIGM-INDEPENDENT CLASSIFICATION ON MULTIDIMENSIONAL NEUROIMAGING DATASET USING CONVOLUTIONAL NEURAL NETWORKS 
    Alimanov, Kanat (Nazarbayev University School of Engineering and Digital Sciences, 2021-05)
    Brain-Computer Interfaces (BCI) are gaining popularity with each day. A lot of research was carried out to improve both accuracy and usability of individual BCI paradigms, most popular in current literature being Motor ...
  • PARAMETRIC MODELING FOR SHAPE OPTIMIZATION 
    Bocharov, Sergey (Nazarbayev University School of Engineering and Digital Sciences, 2017-01)
    Shape optimization has become a necessity in our pursuit for performance and efficiency in highly competitive fields ranging from engineering and science and finishing to medicine and agriculture. This plethora of ...
  • PERFORMANCE ANALYSIS OF EDGE COMPUTING FOR 5G AND INTERNET OF THINGS 
    Ospanova, Aigerim (Nazarbayev University School of Engineering and Digital Sciences, 2022-05)
    This thesis aims to explore edge computing paradigm for Internet of Things services and applications in the 5G era. Edge computing, with its processing and storage capabilities near end-users, can become a reasonable ...
  • PERFORMANCE ANALYSIS OF FUTURE COMMUNICATIONS SYSTEMS UNDER RESIDUAL HARDWARE IMPAIRMENTS 
    Tlebaldiyeva, Leila (Nazarbayev University School of Engineering and Digital Sciences, 2020-04)
    Cognitive radio (CR) and millimeter wave (mmWave) communication are two potential technologies for future wireless communication systems to meet ever-increasing consumer data demand. The significant advantage of CR is ...
  • PERFORMANCE ANALYSIS OF MULTICHANNEL NOISE REDUCTION ALGORITHMS IN DIGITAL HEARING AIDS 
    Ashimbayev, Arnat (Nazarbayev University School of Engineering and Digital Sciences, 2021-10)
    Clear speech recognition in a noisy environment can be challenging for people with hearing impairment. In this thesis, noise reduction techniques have been investigated using the classical approach in MATLAB to improve ...
  • PERFORMANCE ENHANCEMENTS OF LORAWAN USING MACHINE LEARNING ON THE EDGE 
    Otynshin, Anuar (Nazarbayev University School of Engineering and Digital Sciences, 2021-05)
    LoRaWAN is becoming the dominant long range protocol for Internet of Things (IoT) devices. However, LoRaWAN’s performance suffers from a high number of collisions in saturated LoRa networks. To mitigate the number of ...
  • PERFORMANCE EVALUATION OF HYBRID VLC/RF SYSTEMS 
    Ashimbayeva, Aigerim (Nazarbayev University School of Engineering and Digital Sciences, 2016)
    The thesis is dedicated to analysis and comparison between hard switching and soft switching methods for hybrid VLC/RF systems. VLC communication is well known for its efficient high data rate service for use in indoor ...