Author

M. Rao

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Review Open access Nov 2026

An online drift-aware digital twin for regenerative wastewater systems: Conformal water-quality risk and rainfall-forced early warning from live sensor telemetry

Digital twins for wastewater systems are normally fitted once and then frozen. That is a reasonable simplification while process conditions, sensor behaviour and weather patterns remain close to the training period, but it can fail si - lently when they move. This paper reports RT-ReGenTwin, an online digital twin that...

C. Manjunath, P. Shankaraiah, G. M. Reddy et al. · Ecological Engineering &... · 0 citations

Review Open access Sep 2026

Explainable Machine Learning for Compressive Stress Prediction in Cement-Based Construction Materials: A Systematic Benchmarking and SHAP Interpretability Study

This study addresses three recurring weaknesses of the machine learning literature in this area: model comparisons are seldom made under one shared data split and are rarely validated statistically; raw mix-design variables are usually passed to the learner without encoding established concrete science; and analysis co...

M. Rao, C. Manjunath, G. M. Reddy et al. · Electronic Journal of Struct... · 0 citations

Open access Aug 2026

An explainable, uncertainty-aware ensemble soft-sensor for real-time dissolved oxygen estimation in rivers from routine in-situ monitoring streams

Dissolved oxygen (DO) is the single most informative indicator of the ecological state of running waters, yet the optical probes used to record it are also the most prone to fouling, drift and outright failure among the routine sensors deployed at gauging stations. The resulting gaps interrupt exactly the early-warning...

Lakkireddy Venkateswara Reddy, C. Manjunath, M. Rao et al. · Ecological Engineering &... · 0 citations