ANALYSIS OF THE AIRCRAFT ENGINE FAILURES
Abstract. The article investigates the causes, consequences, and prevention strategies related to aircraft engine failures. It provides a comprehensive classification of common engine malfunctions, examining mechanical wear, thermal stress, and operational factors that contribute to failures. A detailed analysis of statistical data on engine failure rates highlights critical trends and risk factors affecting engine performance […]
ANALYSING AND PREDICTING WEATHER CONDITIONS FOR PLANNING FLIGHTS OF UNMANNED AERIAL VEHICLES USING BIG DATA
Abstract. In modern applications, Unmanned Aerial Vehicles (UAVs) are widely used in various industries such as logistics, agriculture, environmental monitoring, and emergency services. However, their operation is highly dependent on weather conditions, including wind speed, temperature, precipitation, and atmospheric pressure. The unpredictability of meteorological factors poses significant risks to the safety and efficiency of UAV […]
CREATION OF A SIMULATION PLATFORM FOR TESTING UAVCONTROL ALGORITHMS
Abstract. Unmanned Aerial Vehicles (UAVs) have emerged as pivotal tools for addressing region-specific challenges in Kazakhstan, a nation characterized by vast geographic diversity, extreme climatic conditions, and infrastructural demands in remote areas. However, deploying UAVs in Kazakhstan’s unique operational environments—marked by temperature extremes (-40°C to +45°C), unpredictable wind gusts (15–20 m/s in the Almaty and […]
DEFECTS OF AIRCRAFT STRUCTURAL ELEMENTS BASED ON POLYMERIC-COMPOSITE AND THEIR DIAGNOSTICS BY NONDESTRODUCTIVE CONTROL METHODS
Abstract. This article examines the application of non-destructive testing (NDT) methods for assessing the structural integrity of aircraft components made from polymer-based composite materials. Composite materials are widely used in aviation due to their high strength-to-weight ratio, corrosion resistance, and durability. However, these materials are subject to various defects caused by manufacturing processes, operational loads, […]
PROBLEMS OF REGULARITY OF AIR TRANSPORTATION IN KAZAKHSTAN
Abstract. The problem of flight delays is one of the key issues in the field of air transportation in Kazakhstan, having a significant impact on passenger service, airline operations and airport economics. Given the growth of passenger traffic and the active development of the aviation market, identifying and eliminating the causes of delays is becoming […]
DEVELOPMENT OF MARKETING RESEARCH METHODOLOGY TO IMPROVE THE EFFICIENCY OF FREIGHT TRANSPORTATION
Abstract. In modern conditions, despite the development of technology, companies continue to face problems of optimizing cargo transportation. One solution is to implement automated logistics management systems, but this process involves a number of challenges, including cyber threats, market risks, and the need for significant financial investments. Air cargo transportation remains one of the most […]
NEURAL NETWORK APPLICATION FOR OPTIMIZING THE SORTING PROCESS OF POLYMER CONTAINERS
Abstract. This study investigates the use of a hybrid neural network architecture that combines convolutional neural networks (CNN) and long short-term memory (LSTM) for efficient sorting of plastic containers. The study focuses on classifying plastic waste based on chemical composition and contamination level, obtained with a near-infrared (NIR) spectroscopy device. Experimental results show that the […]
ANALYSING DEMAND FORECASTING MODELS BASED ON HISTORICAL DRUG CONSUMPTION DATA
Abstract. Forecasting drug demand plays a key role in ensuring sustainable supply, effective inventory management, and timely patient access to life-saving medicines. This article presents a study of ARIMA time series and exponential smoothing methods for predicting demand for an antihypertensive blood pressure drug. The research is aimed at developing and identifying a model that […]
INVESTIGATION OF THE IMPACT OF DATA AUGMENTATION METHODS AND NOISE ON THE ACCURACY OF NUCLEI SEGMENTATION IN HISTOLOGICAL IMAGES USING A DEEP NEURAL NETWORK
Abstract. Segmentation of medical images is one of the key tasks of biomedical informatics, especially in the context of cancer diagnosis. The task of precise segmentation of cell nuclei is particularly relevant and necessary to identify morphological changes in tissues. However, the main challenges and problems in this area remain the variability of image quality, […]
METHODS OF INTELLIGENT TEXT PROCESSING (TEXT MINING)
Abstract. The article discusses methods of intelligent text processing (Text Mining), which allow to transform poorly structured text data into structured and easily analysed information. With the growth of data volumes in the digital age, Text Mining is becoming an indispensable tool for analysing texts in various fields. These technologies find wide application in information […]
A REVIEW OF MACHINE LEARNING AND OLFACTORY TECHNOLOGIES FOR RAPID VEGETABLE DISEASE DETECTION
Abstract. Plant disease detection is crucial to modern-day agriculture because timely diagnosis can reduce the loss of crops to an appreciable level and improve productivity. This review presents advanced disease detection systems based on machine learning techniques and multimodal data analysis. A comprehensive comparison of different machine learning algorithms, including convolutional neural networks (CNNs), transfer […]
COMPARATIVE ANALYSIS OF COLLABORATIVE, CONTENT-BASED AND HYBRID DEEP LEARNING RECOMMENDATION MODELS
Abstract. Recommender systems play a crucial role in personalized content delivery by leveraging user preferences and content attributes. This study evaluates three advanced recommendation models: Neural Collaborative Filtering (NCF), Graph Neural Network-based Content Model (GNN-based Content Model), and Hybrid Neural Network (HNN). Each model integrates deep learning techniques to enhance prediction accuracy and user experience. […]
