SCOPUS
Қазіргі уақытта бізде Scopus дерекқорында индекстелген 20-дан астам мақала бар.
Digital twins and IIoT: comparison of Prometheus and InfluxDB
Авторлар: Amirkhanov B., Ishmurzin T.,Kunelbayev T., Amirkhanova G., Aidynuly A., Tulepberdinova G.
Журнал атауы: Electrical Engineering and Informatics(BEEI)
DOI/сілтеме: 10.11591/eei.v14i5.9687
Integration of a digital twin in a modular bioreactor
Авторлар: Amirkhanov, B., Kunelbayev, M., Issa, S., Amirkhanova, G., Nurgazy, T., Zhumasheva, A., & Alipbeki, O.
Журнал атауы: Applied Data Sciences
DOI/сілтеме: 10.47738/jads.v6i4.779
A Lightweight, End-to-End Encrypted Data Pipeline for IIoT: An AES‑GCM Implementation for ESP32, MQTT, and Raspberry Pi
Авторлар: Amirkhanova, G., Ismailov, S., Amirkhanov, A., Adilzhanova, S., Zhasuzakova, M., & Siming, C.
Журнал атауы: Information MDPI
DOI/сілтеме: 10.3390/info17010033
A Lightweight Edge-AI System for Disease Detection and Three-Level Leaf Spot Severity Assessment in Strawberry Using YOLOv10n and MobileViT-S
Авторлар: Raikhan A., Baurzhan B., Madina M., Madina S., Gulshat A., & Gulnur T.
Журнал атауы: Computers MDPI
DOI/сілтеме: 10.3390/computers15010063
Evaluation of Databases for Digital Twins and Industrial Internet of Things: A Comparative Analysis
Авторлар: Bauyrzhan A., Azim A., Murat K., Gulshat A., Timur I., & Dinara Z.
Журнал атауы: Journal of Advances in Information Technology
DOI/сілтеме: 10.12720/jait
Multi-Objective Optimization and Federated Learning for Agri-Food Supply Chains via Dynamic Heterogeneous Graph Neural Networks
Авторлар: Lin X., Baidong Z., Dingkun Z., Madina M., Baurzhan B.,Gulshat A.,Alikhan A & Chenghan Y.
Журнал атауы: Sustainability MDPI
DOI/сілтеме: 10.3390/su18031426
A Digital Twin Architecture for Integrating Lean Manufactur-ing with Industrial IoT and Predictive Analytics
Авторлар: Gulshat A., Shyrailym A., Bauyrzhan A., Dina B.& Siming C.
Журнал атауы: Information MDPI
DOI/сілтеме: 10.3390/info17020196
Closed-Loop Digital Twin for Energy-Efficient Scheduling in Food Manufacturing Systems
Авторлар: Gulshat A., Nazly Y., Bauyrzhan A.,Meruyert S.& Siming C.
Журнал атауы: Information MDPI
DOI/сілтеме: 10.3390/info17020195
A Comparative Analysis of Machine Learning Models for Anomaly Detection in Smart Meter Time-Series Data
Авторлар: Gulshat A., Azim A., Saltanat A.,Yanwei F.,Baizhanova D.& Onggarbek A.
Журнал атауы: Information MDPI
DOI/сілтеме: 10.3390/info17020131
Development of a digital twin for a bakery line with predictive analytics and adaptive control functions
Авторлар: Bauyrzhan A., Murat K., Gulshat A.,Tomiris N.,Gulnur T.& Sholpan T.
Журнал атауы: IET Collaborative Intelligent Manufacturing
DOI/сілтеме: 10.1049/cim2.70056
Machine Learning-Based Early Incident Detection System in a Bakery Plant's Industrial Network: A Cognitive Model for Counteracting Hybrid Threats
Авторлар: Amirkhanova GA, Prokopovych-Tkachenko DI, Adilzhanova SA, Zubchenko N and Bektemir LE
Журнал атауы: Front. Comput. Sci.
DOI/сілтеме: 10.3389/fcomp.2026.1751284
Digital Representations in IoT: Cryptographic Tools for Improved Security
Авторлар: Adilzhanova, Saltanat & Rakhysh, Aigerim & Kunelbayev, Murat & Amirkhanova, Gulshat & Sybanova, Dana
Журнал атауы: Journal of Advances in Information Technology
DOI/сілтеме: 10.12720/jait.17.2.390-404
Edge-Based Digital Twin Architecture for SME Energy Moni-toring: A Hypothesis-Driven Empirical Validation in Food Manufacturing
Авторлар: Gulshat Amirkhanova, Bauyrzhan Amirkhanov, Miras Tokhtassyn, Murat Kunelbayev, Alina Raeva, Onggarbek Alipbeki
Журнал атауы: Chinese Science Bulletin
DOI/сілтеме: 02.1859/Csb.28.02.2026.01
Modelling Temporal Asymmetry in Industrial IoT Energy Data: A Comparative Study of Hybrid Statistical–Neural Forecasting Pipelines
Авторлар: Sakypbekova, M., Amirkhanov, B., Aubakirova, R., Tokhtassyn, M., Fu, Y., & Amirkhanova, G.
Журнал атауы: Symmetry
DOI/сілтеме: 10.3390/sym18071077
A Hardware Platform for Smart Video Monitoring Based on ESP32-CAM and Mojo FPGA (Spartan-6) with Event Activation Triggered by a PIR Sensor
Авторлар: Adilzhanova, Saltanat & Amirkhanova, Gulshat & Kunelbayev, Murat & Rakhysh, Aigerim.
Журнал атауы: Engineering, Technology & Applied Science Research
DOI/сілтеме: 10.48084/etasr.18359
Mathematical and numerical modeling of resonant frequencies of fluid-structure systems for digital twins
Авторлар: Amirkhanov, B., Amirkhanova, G., Kunelbayev, M., & Raeva A.
Журнал атауы: Sound & Vibration
DOI/сілтеме: 10.59400/sv3981
A multi-agent RAG system for generating SCORM courses from enterprise documents
Авторлар: Amirkhanova, G., Amirkhanov, B., Amirkhanov, A., & Aubakirova, R.
Журнал атауы: Front. Artif. Intell.
DOI/сілтеме: 10.3389/frai.2026.1834985
Research themes and trends in the field of blockchain engineering: a topic modelling analysis
Авторлар: Zhaisanova D. & Mansurova M.
Журнал атауы: IAES International Journal of Artificial Intelligence
DOI/сілтеме: 10.11591/ijai.v15.i2.pp1863-1875
A Development Method for Industrial Automation Based on Digital Twins with Edge Preprocessing and an Event Bus: Experimental Evaluation of Latency, Delivery, and Recovery
Авторлар: Amirkhanova, G., Kunelbayev, M., Karymsakova, N., Tletay, S., Amirkhanov, B., & Raeva, A.
Журнал атауы: Chinese Science Bulletin
DOI/сілтеме: 02.1871/Csb.31.03.2026.01
Enhancing Sustainable Biogas Generation Through a Real-Time Digital Twin of a Modular Bioreactor
Авторлар: Amirkhanov, B., Kunelbayev, M., Issa, S., Amirkhanova, G., Nurgazy, T., Zhumasheva, A., & Alipbeki, O.
Журнал атауы: Journal of Applied Data Sciences
DOI/сілтеме: 10.47738/jads.v6i4.779
Digital Twin Architecture for IoT: Edge Preprocessing, Streaming Events, and Reliability SLO/SLA
Авторлар: Amirkhanova, G., Kunelbayev, M., Amirkhanov, B., Tyulepberdinova, G., Faruzkyzy, Y., & Raeva, A.
Журнал атауы: Kongzhi yu Juece / Control and Decision
DOI/сілтеме: 01.10611/Kzyjc.31.03.2026.01
Energy-Efficient Adaptive Polling in LoRaWAN-IIoT for Bakery Production: Model, AoI Analysis, and Experimental Validation
Авторлар: Amirkhanova, G., Raeva, A., Kunelbayev, M., Amirkhanov, B., & Faruzkyzy, Y.
Журнал атауы: Chinese Science Bulletin
DOI/сілтеме: 02.1860/Csb.31.03.2026.01
AgriPath: a robust multi-objective path planning framework for agricultural robots in dynamic field environments
Авторлар: Yang C., Zheng D., Chen S., Mansurova M., Belgibaev B. & Zhao B.
Журнал атауы: Front. Plant Sci., Sec. Sustainable and Intelligent Phytoprotection
DOI/сілтеме: 10.3389/fpls.2025.1687747
Mathematical modeling of a multi-stage process in food production
Авторлар: Duzbaev, T., Mazakov, T., Jomartova, S., Amirhanova, G., & Mazakova, A.
Журнал атауы: Chinese Science Bulletin
DOI/сілтеме: 02.1862/Csb.31.03.2026.01