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Scientific Journal of Astana IT University
ISSN 2707-9031 · Astana IT University · 354 artikel di indeks
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Artikel Jurnal
DEVELOPMENT AND VERIFICATION OF CYBER SECURITY ARCHITECTURE FOR UNMANNED AERIAL VEHICLE TELEMETRY BASED ON SIMULATION MODELLING
The rapid development and widespread adoption of unmanned technologies have led to significant advancements across various fields of human activity. At the same time, the risks associated with the unauthorized use of unmanned aerial systems have increased. This has led to the emergence of a…
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A DUAL-PATH MULTI-TASK FRAMEWORK FOR STRICT THREE-CURVE COBB ANGLE ESTIMATION IN IDIOPATHIC SCOLIOSIS
Adolescent idiopathic scoliosis management depends on reproducible Cobb angle measurement across three clinically defined spinal regions: proximal thoracic, main thoracic, and thoracolumbar/lumbar. Although manual measurement remains the reference standard, it is observer-dependent and…
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SCALABLE NEAR-DUPLICATE DETECTION IN KAZAKH SCIENTIFIC TEXTS VIA SEMANTIC EMBEDDINGS AND OPTIMIZED CANDIDATE FILTERING
This work considers the problem of efficient detection of near-duplicate documents in Kazakh scientific texts, which is particularly challenging due to the agglutinative nature of the language and the high computational cost of pairwise document comparison. Traditional approaches based on lexical…
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KAZMORPHLM: MORPHEME-AWARE LANGUAGE MODEL FOR KAZAKH AUTOMATIC SPEECH RECOGNITION
This paper presents KazMorphLM, a morpheme-aware language model for automatic speech recognition (ASR) in the Kazakh language. Kazakh belongs to the Turkic family and is characterised by a highly agglutinative morphology, in which a single root can generate a large number of inflected forms through…
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Artikel Jurnal
CROSS-SUBJECT EEG-BASED FATIGUE CLASSIFICATION USING MACHINE LEARNING, RIEMANNIAN GEOMETRY, AND COMPACT DEEP NEURAL NETWORKS
Drowsiness reduces efficiency in perceptual processing, reaction time, and executive control, posing risks in safety-critical domains such as driving and long-duration monitoring tasks. EEG-based fatigue detection has emerged as a powerful approach for quantifying early neurophysiological signs of…
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COMPARATIVE ANALYSIS OF DEEP LEARNING MODELS FOR CHEST DISEASE DIAGNOSIS USING NIH X-RAY DATASET
The integration of deep learning in medical image analysis has significantly advanced computer-aided diagnosis, particularly in chest radiography. However, selecting an optimal convolutional neural network (CNN) architecture for reliable disease classification remains a critical challenge due to…
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Artikel Jurnal
BUILDING A DEEP SEARCH CRAWLER FOR THE KAZAKH LANGUAGE: A REPRODUCIBLE WEB-SCALE PIPELINE
We present a reproducible, web-scale pipeline for building a Kazakh-language corpus from the national e-government portal. The system treats the website as a directed graph and performs breadth-first traversal to preserve section hierarchy. Static acquisition relies on robust HTTP requests and HTML…
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PHYSICALLY BASED EVALUATION OF SNOWPACK SENSITIVITY TO TEMPERATURE PERTURBATIONS IN EAST KAZAKHSTAN
Seasonal snowpack is a critical regulator of water supply and flood risk in continental climates, yet its reliable assessment in Central Asia is constrained by sparse observations. This study applies the multilayer Snow Thermal Model, driven by ERA5-Land reanalysis, to simulate snowpack evolution…
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IMPROVING THE EFFICIENCY OF PIPELINE LEAK DETECTION SYSTEMS USING NEURAL NETWORKS
Pipeline systems for oil and gas transportation are complex distributed infrastructure facilities whose efficient and safe operation largely depends on the application of modern information and communication technologies. In the context of industrial digital transformation, intelligent monitoring…
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DECENTRALIZED IDENTITY AND ACCESS MANAGEMENT IN INTERNET OF THINGS SYSTEMS BASED ON BLOCKCHAIN
The exponential proliferation of Internet of Things (IoT) devices presents critical challenges to traditional centralized identity and access management systems, which are plagued by issues of scalability, single points of failure, and significant privacy risks. While blockchain technology offers a…
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DETECTING AND RANKING URBAN BOTTLENECKS FROM PASSIVE SPEED AGGREGATES
Urban traffic congestion remains a persistent problem, yet many cities still lack dense sensor networks, calibrated simulation models, or detailed origin-destination data for operational bottleneck monitoring. This study develops a lightweight framework for detecting and ranking urban bottlenecks…
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INTELLIGENT DRONE ROUTE PLANNING IN URBAN ENVIRONMENTS: OPTIMIZATION AND SAFETY
This study develops and evaluates an intelligent route-planning model for unmanned aerial vehicles operating in urban environments with the objective of minimizing total flight time while maintaining flight safety. The proposed approach addresses a practical last-mile delivery scenario in a…
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NUMERICAL STUDY OF THE WATER SURFACE MOVEMENT DURING A DAM BREAK ON A REAL TERRAIN OF THE TASOTKEL RESERVOIR, ZHAMBYL REGION, KAZAKHSTAN
This work presents a comprehensive numerical simulation of the dam-break process at the Tasotkel reservoir, located in real terrain conditions in the Zhambyl region. The study focuses on understanding how the released water mass propagates over complex topography and how terrain irregularities…
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A TIME-AWARE TEMPORAL BERT FRAMEWORK FOR LONGITUDINAL DETECTION OF DEPRESSIVE AND SUICIDE-RELATED RISK PATTERNS IN SOCIAL MEDIA
In this paper, we introduce a time-aware deep learning model designed to identify and predict signs of depression and suicidal ideation across social networks. Standard static text classifiers typically analyze updates in isolation; however, our method tracks the long-term progression of a person's…
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Artikel Jurnal
AUTOMATED AVALANCHE MONITORING: ENGINEERING AND SOFTWARE SOLUTIONS
An autonomous avalanche hazard monitoring system has been developed and piloted in the East Kazakhstan Region to enable continuous, data-driven early detection and prediction of snow avalanches in mountainous environments. The system integrates a hardware–software ecosystem that overcomes the…
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AI-BASED QUESTION GENERATION FOR AVIATION TRAINING: COMPARING RETRIEVAL-AUGMENTED GENERATION AND FINE-TUNED MODELS
This study examines how retrieval-augmented and fine-tuned architecture influences the cognitive complexity, terminology usage, and pedagogical characteristics of automatically generated aviation-related questions. The objective is to determine how different modeling strategies affect not only…
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Artikel Jurnal
ASSESSMENT OF PASSIVE DEORBITING OF THE KAZAKH EARTH REMOTE SENSING SATELLITES KAZEOSAT-1 AND KAZEOSAT-2
In this work, passive deorbiting of the Kazakh Earth remote sensing satellites KazEOSat-1 and KazEOSat-2, operating in sun-synchronous low Earth orbits and not equipped with onboard deorbiting systems, is investigated. The object of the study is the dynamics of their orbital motion and the…
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Artikel Jurnal
DYNAMIC DETERMINATION OF INFORMATION SYSTEM SECURITY PARAMETERS BASED ON ATTACK GRAPHS AND MARKOV MODELS UNDER CONDITIONS OF UNCERTAINTY
The article presents an approach to the dynamic determination of information system security parameters under conditions of uncertainty and incomplete monitoring data. An attack graph is used as the structural foundation, describing possible compromise trajectories while considering vulnerability…
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Artikel Jurnal
DEVELOPMENT OF A METHOD FOR AUTOMATIC DOCUMENT RECOVERY FOLLOWED BY ANALYSIS OF INTEGRITY AND ABSENCE OF ENCRYPTION FOR FORENSIC PURPOSES
As digital infrastructures grow increasingly complex, the need for robust forensic tools that can recover and interpret Office documents, particularly Microsoft Word (.docx) files, has become paramount. Traditional recovery tools often struggle with file integrity verification and fail to determine…
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A NOVEL ACOUSTIC-ASSISTED CHIP-OFF FRAMEWORK FOR DATA EXTRACTION FROM DAMAGED HARD DISK DRIVES
This article discusses best practices for extracting data from damaged mobile phones and hard drives while maintaining the integrity of the storage hardware. It emphasizes that data recovery is essential for digital forensics and cybersecurity due to a common approach to data recovery from mobile…