Postharvest losses during potato storage remain a serious problem, especially for small-scale storage facilities with limited automation, monitoring, and energy resources. This paper proposes a data-driven cyber-physical framework for sensor-based microclimate analysis and predictive management of small-scale potato st...
G. Baenova, Мадина Серикова, Aruna Pavate· IETI Transactions on Data An...· 0 citations
The article presents the results of the pilot implementation of the predictive equipment maintenance system at the SaryarkaAvtoProm LLP automotive industry enterprise. The system is based on an ensemble of machine learning algorithms trained on multichannel sensor data (vibration, temperature, pressure, flow rate of pr...
D. Aldasheva, O. Salykova, K. Maulenov et al.· Bulletin of Manash Kozybayev...· 0 citations
Machine-learning surrogates predict composite properties but report no calibrated reliability and may violate physics. Bound-constrained conformal prediction confines intervals to physical bounds but assumes them exact. This paper keeps the corridor as a hard constraint and characterizes what a decision-support system...
Magzhan Sarsenbay, S. Zhuzbayev, G. Baenova et al.· Information· 0 citations
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