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January 1, 2026International Journal of Critical Computer-Based Systems

Evaluating the Performance of Predictive Models for Water Flow Rate in Storage Tanks: An Analysis of a Cyber-Physical System

Abhishek M. B N. Shekar V. Shet

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Key Points

To assess the effectiveness of various predictive models for estimating water flow rates in storage tanks.
Evaluation of multiple predictive models applied to a cyber-physical system setup.
Analysis of flow rate data from storage tanks under different scenarios.
Performance metrics assessed included accuracy and reliability of predictions.
Certain models outperformed others in predicting flow rates, with accuracy rates exceeding 85%.
Models incorporating machine learning algorithms demonstrated improved predictive capabilities.
Significant reductions in prediction error margins were observed, suggesting enhanced operational efficiency.

Implication

Evaluates predictive models for water flow rate in storage tanks, highlighting system performance implications.

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Cite This Study

B et al. (2026) studied this question.

synapsesocial.com/papers/6a13e78b0e02ee3982d323f3 https://doi.org/10.1504/ijccbs.2026.10078676

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