袗胁褌芯褉写褘遥 卸邪褉懈褟谢邪薪褘屑写邪褉褘
Amirkhanov, B.
袘邪褉谢褘覜 卸邪褉懈褟谢邪薪褘屑写邪褉
15
袘械谢褋械薪写褨谢褨泻 卸褘谢写邪褉褘
4
袞邪褉懈褟谢邪薪褘屑 褌爷褉谢械褉褨
2
2026 (6)
- Comparison of Neural Network Architectures for Modeling Complex System Behavior in Digital Twins: Analysis Based on Bearing Data
- Evaluation of Databases for Digital Twins and Industrial Internet of Things: A Comparative Analysis
- A Digital Twin Architecture for Integrating Lean Manufacturing with Industrial IoT and Predictive Analytics
- Development of a Digital Twin for a Bakery Line With Predictive Analytics and Adaptive Control Functions
- Closed-Loop Digital Twin for Energy-Efficient Scheduling in Food Manufacturing Systems
- A Four Layer Cybersecurity Framework for Digital Twin Systems in the Food Industry
2025 (5)
- Deploying Multilingual ASR in Digital Twin Systems: A Performance and Efficiency Analysis of Whisper and SeamlessM4T
- Enhancing Sustainable Biogas Generation Through a Real-Time Digital Twin of a Modular Bioreactor
- Digital twins and IIoT: comparison of Prometheus and InfluxDB
- Using artificial intelligence to create 3D model of manufacturing equipment
- Dynamic Systems Simulation Using Digital Twins: Approaches, Technologies, and Applications
2024 (3)
- DigitalEgiz: Integration of a Digital Twin to Improve the Efficiency of a Single-Phase Inverter for a Photovoltaic Solar Module
- AI-enabled digital twins: soft computing methods for industrial data mining
- Application of Machine Learning Algorithms in Digital Twin Monitoring Systems: An Overview of Approaches, Methods, and Prospects