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Journal of Problems in Computer Science and Information Technologies
ISSN 2958-0846 · Al-Farabi Kazakh National University · 116 articles in the index
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Journal Article
SELF-SUPERVISED FOUNDATION MODELS FOR REAL-TIME DRILLING OPTIMIZATION: CROSS-MODAL KNOWLEDGE TRANSFER FROM WELL LOG REPRESENTATIONS
The optimization of real-time drilling faces significant hurdles stemming from limited data availability, complex operational environments, and a lack of machine learning models that can transfer knowledge across different geological settings. Current supervised methods deliver strong results in…
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Journal Article
MULTILINGUAL GENERATIVE AI AVATAR: EDGE AND CLOUD-BASED REAL-TIME DEPLOYMENTS
This paper introduces a multilingual avatar system designed for real-time Human-AI Interaction in Kazakh, Russian, and English. AI-enhanced avatars present novel ways of communication and interaction between users and technology. This work follows current trends in Human-Computer Interaction (HCI)…
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Journal Article
GPU-ACCELERATED SOLUTION OF THE 2D POISSON EQUATION: A COMPARATIVE STUDY OF JACOBI AND RED-BLACK GAUSS–SEIDEL METHODS WITH GLOBAL AND SHARED MEMORY
The Poisson equation is a canonical elliptic partial differential equation (PDE) that arises in diverse fields such as electrostatics, fluid dynamics, and heat transfer. Analytical solutions exist only for simple geometries and boundary conditions, making numerical approaches indispensable for…
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Journal Article
PHYSICS-INFORMED DEEP LEARNING FOR ENHANCED LITHIUM-ION BATTERY PERFORMANCE
Lithium-ion batteries are widely used in electric vehicles, portable electronics, and grid energy systems. The constant current–constant voltage (CC–CV) method shows clear limits at high state of charge when polarization increases, temperature rises, and charging time is extended. These effects…
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Journal Article
A REVIEW OF MODERN COMPUTATIONAL FLUID DYNAMICS AND ARTIFICIAL INTELLIGENCE METHODS FOR MODELING UNSTEADY PROCESSES IN CENTRIFUGAL PUMPS
Centrifugal pumps are critical across various industrial sectors, yet their complex, three-dimensional, and unsteady turbulent flows pose significant challenges for traditional empirical design methods. This review aims to systematize modern research on the mathematical modeling of centrifugal…
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Journal Article
A NOVEL FULL-STACK SIMULATION TOOL FOR RAPID MODELING OF THERMAL PROCESSES IN BOREHOLE THERMAL ENERGY STORAGE SYSTEMS
Ground thermal energy storage are effective systems for building climate control, yet, their modeling is complicated by a sharp geometric disproportion, particularly the diameter of the heat exchanger is several orders of magnitude smaller than its depth. This makes full-scale 3D modeling…
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Journal Article
SURROGATE MODELING OF TEMPORAL EVOLUTION FOR THE BUCKLEY–LEVERETT RIEMANN PROBLEM USING FOURIER NEURAL OPERATOR
The Buckley–Leverett equation is a fundamental model of two-phase flow in porous media, widely used in petroleum engineering to describe waterflooding. The analytical solution to this nonlinear hyperbolic problem contains discontinuous shock waves and requires Oleinik's entropy condition to select…
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Journal Article
SHOOTVISION: A REAL-TIME VISION-BASED SYSTEM FOR SHOOTING DETECTION AND MARKSMANSHIP ACCURACY ANALYSIS USING YOLOV8
Objective and reproducible scoring of marksmanship is a long-standing challenge in sport shooting and firearms training, where manual scoring is slow and subjective and dedicated electronic targets are expensive. This paper presents ShootVision, a web-based system that performs real-time detection…
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Journal Article
BUFFERBLOAT, NOT THE RADIO: LATENCY IN A MULTI-USER 5G STANDALONE NETWORK
End-to-end latency, not raw throughput, increasingly limits the quality of experience in modern mobile networks. This paper presents an experimental characterization of the latency bottleneck in a fully software-defined 5G Standalone (SA) network built from srsRAN, Open5GS, and a ZeroMQ-based radio…
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Journal Article
MICROFLOTATION OF GOLD-BEARING ORE: WITHIN-BATCH EFFECTS AND GROUP-AWARE CLASSIFICATION OF REAGENT REGIMES
Fine particles below approximately 20 µm are recovered poorly in conventional flotation, and microbubble-assisted methods are among the options proposed to address this. This paper reports a statistical assessment of multicomponent microflotation (MMF) and an auxiliary classification of reagent…
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Journal Article
HYBRID 3D-AWARE FACE CLUSTERING VIA DEEP EMBEDDINGS AND GEOMETRIC DESCRIPTORS
This paper presents a 3D-aware face clustering methodology that robustly groups unlabeled face images by identity under challenging conditions of pose variation, facial expression, and partial occlusion. The proposed approach integrates 2D deep embeddings with 3D geometric features extracted from…
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Journal Article
RESNET EMBEDDING-BASED PIPELINE FOR TRANSPARENT DIAGNOSIS OF PULMONARY EMPHYSEMA ON LOW-DOSE CT
This study presents a methodology for the automated detection and quantification of pulmonary emphysema from low-dose chest computed tomography (CT) scans. As a morphological subtype of chronic obstructive pulmonary disease (COPD), emphysema can be accurately assessed on CT imaging. Our approach…
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Journal Article
ALGORITHMIC APPROACH TO OPTIMAL RESOURCE CONTROL IN AN OPEN ECONOMY MODEL
The dynamic development of the global economy and the impact of external factors create challenges for ensuring sustainable growth, making effective resource management an urgent task. This paper addresses the problem of optimal resource management in an open economy model with constraints on labor…
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Journal Article
COMPARATIVE ANALYSIS OF PHYSICS-INFORMED AND CONVENTIONAL LSTM AND RNN MODELS FOR TEMPERATURE FORECASTING USING ERA5 REANALYSIS DATA
Climate change is one of the most serious modern problems affecting the Earth's atmosphere, as it causes a range of harmful effects worldwide. Due to the uneven nature of climate data, forecasting climate change is a challenging task today. Many previous studies in climate and machine learning have…
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Journal Article
DEVELOPMENT OF THE RETRIEVAL-AUGMENTED GENERATION (RAG) SYSTEM FOR THE KAZAKH LANGUAGE USING HYBRID INFORMATION METHODS
Abstract. This study presents the development and experimental evaluation of the Retrieval-Augmented Generation (RAG) system for the Kazakh language with an emphasis on comparative analysis of information retrieval methods. The main purpose of the work was to test the hypothesis of the superiority…
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Journal Article
CONCEPTUAL MODEL OF THE QADAM DIGITAL PLATFORM AS A UNIFIED DIGITAL ECOSYSTEM FOR SMES
The digital transformation of small and medium-sized businesses (SMEs) is a key factor in sustainable economic growth, increased competitiveness, and the integration of national economies into global value chains. In the developing platform economy, digital platforms act not only as technological…
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Journal Article
THREE-DIMENSIONAL FRACTAL GEOMETRY MODELING AND DIGITAL HOLOGRAPHY BASED ON R-FUNCTIONS
This paper is devoted to modern research in the field of digital modeling of complex-shaped geometric objects and the determination of their optical properties, which currently represent one of the most relevant challenges in contemporary science. In particular, the problem of realistic…
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Journal Article
HADOOP, MULTI-AGENT SYSTEMS AND MACHINE LEARNING: EXPLORING SCALABILITY, FAULT TOLERANCE AND WORKLOAD DISTRIBUTION BEHAVIORS
Paper reports experimental results comparing several machine learning techniques performance when distributing massively parallel computation to a set of interconnected machines. Computational resources are intentionally heterogenous to simulate real ad-hoc network environment and provide realistic…
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Journal Article
NONLINEAR DIMENSIONALITY REDUCTION FOR LOOKALIKE AUDIENCE DETECTION USING MANIFOLD LEARNING AND AUTOENCODER-BASED REPRESENTATIONS
Identifying users with similar behavioral characteristics is a critical task in modern targeted advertising and customer analytics systems. High-dimensional tabular datasets describing user activity often contain complex nonlinear relationships that cannot be effectively captured by traditional…
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Journal Article
INTEGRATING MACHINE LEARNING WITH OPEN-SOURCE 5G SA TESTBEDS FOR PERFORMANCE ANALYSIS AND KPI TIME SERIES MODELING
Open source 5G Standalone (SA) testbeds provide cost-effective environments for research and teaching, yet most existing implementations focus primarily on functional validation rather than leveraging machine learning for advanced network analytics. This study presents a comprehensive framework…