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- 2024
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Mark
Performance monitoring of kaplan turbine based hydropower plant under variable operating conditions using machine learning approach
(
- Contribution to journal › Article
- 2023
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Mark
Development of a Reliable Machine Learning Model to Predict Compressive Strength of FRP-Confined Concrete Cylinders
(
- Contribution to journal › Article
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Mark
Air Quality Prediction-A Study Using Neural Network Based Approach
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- Contribution to journal › Article
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Mark
ML-Based Computational Model to Estimate the Compressive Strength of Sustainable Concrete Integrating Silica Fume and Steel Fibers
2023) 5th International Conference on Information Systems and Management Science, ISMS 2022 In Lecture Notes in Networks and Systems 671 LNNS. p.231-244(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2022
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Mark
An Optimized Neuro-Bee Algorithm Approach to Predict the FRP-Concrete Bond Strength of RC Beams
(
- Contribution to journal › Article