袩褍斜谢懈泻邪褑懈懈 邪胁褌芯褉邪
Sarsembayeva, T.
袙褋械谐芯 锌褍斜谢懈泻邪褑懈泄
26
袥械褌 邪泻褌懈胁薪芯褋褌懈
6
孝懈锌芯胁 锌褍斜谢懈泻邪褑懈泄
2
2025 (6)
- Optimization of Neural Network Models of Computer Vision for Biometric Identification on Edge IoT Devices
- An Improved Artificial Potential Field Method with LiDAR for Autonomous Navigation in Dynamic Food Production Environments
- An AI-Driven Smart Digital Assistant Bot for Improving Student Support Services
- Comparative Analysis of the Efficiency of Synthetic Data Generation Methods in Classification and Regression Problems
- Enhancing U-Net Segmentation Accuracy Through Comprehensive Data Preprocessing
- LLM Agents for Enhanced Tabular Data Interpretation: A Perspective
2024 (9)
- Development of a patient health monitoring system based on the internet of things with a module for predicting vital signs
- The physical, social, and mental conditions of machine learning in student health evaluation
- AI-Powered Traffic Management for Busy Intersections
- M2M Interface for IoT Traffic Light with Computer Vision and AnyLogic PLE
- Development of a wearable monitor to identify stress levels using internet of things
- Research on Improving the Quality of Life of Students Using Machine Learning and Developing a Digital Health Profile
- Assessing Student Quality of Life: Analysis of Key Influential Factors
- Multi-Level Intelligent Control System For Inter-Vehicle Communication Between Smart Traffic Lights With Computer Vision and Autonomous Electric Vehicles
- Comparison of the parameters of a flat solar collector with a tubular collector to ensure energy flexibility in smart buildings
2023 (3)
2022 (4)
- Study of Non-Invasive Methods of Measuring Glucose for Patients with Diabetes Mellitus
- Application of mHealth Technologies to Improve Self-Control of Children and Adolescents with Type 1 Diabetes
- A Personalized mHealth Monitoring System for Children and Adolescents with T1 Diabetes by Utilizing IoT Sensors and Assessing Physical Activities
- Pre-processing of CT Images of the Lungs