袗胁褌芯褉写褘遥 卸邪褉懈褟谢邪薪褘屑写邪褉褘
Baigarayeva, Z.
袘邪褉谢褘覜 卸邪褉懈褟谢邪薪褘屑写邪褉
22
袘械谢褋械薪写褨谢褨泻 卸褘谢写邪褉褘
5
袞邪褉懈褟谢邪薪褘屑 褌爷褉谢械褉褨
3
2026 (5)
- Benchmarking Tabular Foundation Models for Total Volatile Fatty Acid Prediction in Anaerobic Digestion
- Non-Imaging Differential Diagnosis of Lower Limb Osteoarthritis: An Interpretable Machine Learning Framework
- Explainable Machine Learning for Volatile Fatty Acid Soft-Sensing in Anaerobic Digestion: A Pilot Feasibility Study
- Architecting the Orthopedical Clinical AI Pipeline: A Review of Integrating Foundation Models and FHIR for Agentic Clinical Assistants and Digital Twins
- Interpretable Machine Learning-Based Differential Diagnosis of Hip and Knee Osteoarthritis Using Routine Preoperative Clinical and Laboratory Data
2025 (7)
- Enhancing Cardiovascular Disease Classification with Routine Blood Tests Using an Explainable AI Approach
- Digital Cardiovascular Twins, AI Agents, and Sensor Data: A Narrative Review from System Architecture to Proactive Heart Health
- A Review of Innovative Medical Rehabilitation Systems with Scalable AI-Assisted Platforms for Sensor-Based Recovery Monitoring
- Assessment of the Impact of Air Quality on Rehabilitation Effectiveness Using an IoMT-Based HRV Monitoring System
- AI-Powered Building Ecosystems: A Narrative Mapping Review on the Integration of Digital Twins and LLMs for Proactive Comfort, IEQ, and Energy Management
- A Low-Cost IoT Sensor and Preliminary Machine-Learning Feasibility Study for Monitoring In-Cabin Air Quality: A Pilot Case from Almaty
- Interpretable Machine Learning for Coronary Artery Disease Risk Stratification: A SHAP-Based Analysis
2024 (6)
- AI-Powered Traffic Management for Busy Intersections
- M2M Interface for IoT Traffic Light with Computer Vision and AnyLogic PLE
- Prototype of a watering autonomous mobile robot for mini greenhouse with manipulator and computer vision
- Auto-Start Solution with Neural Video Vision for Powering Up Traffic Management
- Smart sensors and IoT applied in Digital Twin for Industry 4.0
- Multi-Level Intelligent Control System For Inter-Vehicle Communication Between Smart Traffic Lights With Computer Vision and Autonomous Electric Vehicles