AI 2025
Workshop on Artificial Intelligence 2025

Table of Contents

• Preface
  Summary: There were 35 papers submitted for peer-review to this workshop. Out of these, 23 papers were accepted for this volume, 18 as regular papers and 5 as short papers.

Regular Papers

• Deep reinforcement learning for cost-efficient resource management in hybrid cloud environments
  Bekzat Kobei, Nurgul Seilova, Zarina Kashaganova
• Data-driven optimization of YOLOv8n for drone search missions
  Dinmukhammed Orkushpayev, Saya Sapakova, Zhansaya Bekaulova, Aknur Yemberdiyeva, Aigul Agybayeva
• Hybrid AI models for forecasting nonlinear environmental impacts in fixed-budget IT projects
  Roman Kulyk, Viktor Morozov
• Artificial intelligence for sustainable innovation in visual media: modernizing graphic design workflows in line with SDG 9
  Altynay Zhumakhanova, Gulmira Shakmetova, Ha Jin Hwang, Aidiye Aidarbekov
• Optimizing urban evacuation: AI-driven analysis of transportation bottlenecks in Almaty
  Gulnara Bektemyssova, Ulzhan Kokenova, Symbat Mamanova
• Prosody-aware dual-stream neural model for speaker-adaptive voice command recognition
  Oleksii Matsiievskyi, Ihor Bosenko, Igor Achkasov, Illia Sachenko
• Intelligent control of fluid transport on mobile rovers to minimize spillage
  Dinara Zhussupova, Zamira Abdikalikova, Marat Nurtas
• The heart disease prediction using machine learning algorithms
  Zhanerke Temirbekova, Zhansaya Bekaulova, Sakhybay Tynymbayev, Rashidam Mametova
• Comparison of neural network models for prediction cryptocurrency price volatility in trading pairs
  Samat Mukhanov, Kaisar Bekbolat, Ikram Bazarbekov, Saule Amanzholova, Kymbat Seilkhanova, Galym Kapyshev
• Developing multidimensional and geospatial classification models for passenger complaints on smart city platforms
  Daniyar Rakhimzhanov, Aigerim Mansurova, Didar Yedilkhan
• AI innovation vs. disinformation: The dual role of deepfake technology
  Temirlan Ramazan, Ha Jin Hwang, Askar Murat, Aidiye Aidarbekov
• Integrating symbolic execution and machine learning for automated test generation in system-level programming languages vision
  Symbat Nurgaliyeva, Sanzhar Kuandyk, Zhuldyz Basheyeva, Maxot Rakhmetov, Roman Hrmo
• Artificial intelligence and remote sensing for deforestation monitoring: a comprehensive review
  Zhuldyz Basheyeva, Arlan Manap, Nurzhamal Kashkimbayeva, Nurkhat Zhakiyev
• How can machine learning personalize educational content generated by LLMs
  Petr Tsekoyev, Talgat Sembayev, Zhanat Nurbekova
• Collocation point strategies in physics-informed neural networks: A comparative study on the Burgers’ equation
  Ruslan Krasnozhonov, Marat Nurtas, Zhazira Kadirbayeva, Galym Kapyshev
• A comparative analysis of machine learning algorithms for Sentinel-2 based mineral prospectivity mapping
  Marat Nurtas, Aidana Mergembayeva, Aizhan Ydyrys, Ruslan Krasnozhonov
• Integrating explainable AI for trustworthy machine learning-based Ad personalization in social media platforms
  Vyacheslav Pak, Riza Akhitova, Ha Jin Hwang, Aidiye Aidarbekov, Darkhan Bekuzak
• Deep learning and dimensionality reduction using PCA and LDA for cervical cancer diagnosis
  Ainur Srazh, Aizhan Altaibek, Marat Nurtas, Jandos Amankulov, Lashyn Adiat, Kassiyet Akimtay

Short Papers

• AI technologies in language education: Practical aspects and challenges of student usage
  Aigerim Kereibayeva, Fariza Abdraimova, Tolkyn Toktarova, Dinara Dyussenova, Dana Tsoy
• Physics-informed neural networks for one-dimensional heat transfer in climate models
  Marat Nurtas, Aizhan Ydyrys, Zhanibek Ydyrys
• Improving driver safety and trip quality through real-time anomaly detection with multi-model learning in taxi services
  Nesar Ahmad Bahin, Rahim Ahmed Druba, Gulzat Turken, Vladislav Karyukin
• Physics-informed neural networks for solving inverse gravimetry problem
  Marat Nurtas, Merey Kenzhebayeva
• AI in Kazakhstan education system
  Akkyz Mustafina, Artem Bykov, Syrym Zhakypbekov, Saken Mambetov, Serik Joldasbayev