Computer Science Department 1

1. Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells
2. Contextually Enriched Meta-Learning Ensemble Model for Urdu Sentiment Analysis
3. Detection of Unauthorized Unmanned Aerial Vehicles Using YOLOv5 and Transfer Learning
4. Introduction of Information Business Course in the Content of the Computer Science Program
5. A deep reinforcement learning approach for wind speed forecasting
6. A deep reinforcement learning approach for wind speed forecasting
7. Explainable deep learning hybrid models for enhanced prediction of river dissolved oxygen concentration
8. Hybrid attention based deep learning for forecasting boundary layer ozone using satellite derived profiles
9. Integrating the pressure-state-response model with the extension catastrophe progression for flood risk and resilience assessment
10. Digital hygiene skills and cyberbullying reduction: a study among teenagers in Kazakhstan
11. Energy efficiency in cloud computing based on mixture power spectral density prediction
12. Extreme weather event attribution predicts climate policy support across the world
13. Trust in scientists and their role in society across 68 countries
14. Algorithm for Preprocessing Electrocardiosignal for a Wireless Holter Monitoring System
15. ANALYSIS OF OPTIMAL INVESTMENT IN CONTINUUM OF CAPITAL VINTAGES
16. The Effectiveness of Using Virtual and Augmented Reality Technologies for Teaching Computer Science in Schools
17. Fine-Tuning Methods and Dataset Structures for Multilingual Neural Machine Translation: A Kazakh–English–Russian Case Study in the IT Domain
18. Exploring Digital Storytelling for Enhancing Computer Science Education: A Case Study with Deaf Students
19. Application of Image Processing in Evaluation of Hydraulic Fracturing with Liquid Nitrogen: A Case Study of Coal Samples from Karaganda Basin
20. A Systematic Evaluation of Large Language Models and Retrieval-Augmented Generation for the Task of Kazakh Question Answering
21. Perceptions of science, science communication, and climate change attitudes in 68 countries - the TISP dataset
22. Late-time cosmology in f(Q,L_m) gravity: Analytical solutions and observational fits
23. Predicting LAN switch failures: An integrated approach with DES and machine learning techniques (RF/LR/DT/SVM)
24. EFND: A Semantic, Visual, and Socially Augmented Deep Framework for Extreme Fake News Detection
25. Energy-efficient and secure mobile fog-based cloud for the Internet of Things
26. Hybrid energy-efficient algorithm for efficient Internet of Things deployment
27. Hybrid energy-efficient algorithm for efficient Internet of Things deployment
28. Malicious Vehicle Detection Using Layer-Based Paradigm and the Internet of Things
29. Hybrid machine learning and deep learning models for river suspended sediment load forecasting
30. THE USE OF ONTOLOGICAL MODELING IN THE PREPARATION OF ELECTRONIC COURSES IN THE FIELD OF INFORMATION AND COMMUNICATION TECHNOLOGIES
31. Generating Job Recommendations Based on User Personality and Gallup Tests
32. Semantic deep learning and adaptive clustering for handling multimodal multimedia information retrieval
33. Teaching Neural Networks to Computer Science Students in Higher Education: Approaches and Challenges
34. Machine learning-based inverse kinematics scalability for prismatic tensegrity structural manipulators
35. Blockchain-powered grids: Paving the way for a sustainable and efficient future
36. Corrigendum to “Blockchain-powered grids: Paving the way for a sustainable and efficient future” [Heliyon Volume 10, Issue 10, May 2024, Article e31592] (Heliyon (2024) 10(10), (S2405844024076230), (10.1016/j.heliyon.2024.e31592))
37. The Impact of the SAMR Model with IT-Enhanced Tools on Student Performance
38. Enhancing Healthcare Cybersecurity through the Development and Evaluation of Intrusion Detection Systems
39. Enhancing Healthcare Cybersecurity through the Development and Evaluation of Intrusion Detection Systems
40. Optical Sensor System for 3D Jones Matrix Reconstruction of Optical Anisotropy Maps of Self-Assembled Polycrystalline Soft Matter Films
41. Hybrid deep learning models with data fusion approach for electricity load forecasting
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