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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
Prognosis of compressive strength of fly-ash-based geopolymer-modified sustainable concrete with ML algorithms
(
- Contribution to journal › Article
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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
Neural Network Based Algorithm to Estimate the Axial Capacity of Corroded RC Columns
2023) 5th International Conference on Information Systems and Management Science, ISMS 2022 In Lecture Notes in Networks and Systems 671 LNNS. p.219-230(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Performance prognosis of FRCM-to-concrete bond strength using ANFIS-based fuzzy algorithm
(
- Contribution to journal › Article
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Mark
Effective monitoring of Pelton turbine based hydropower plants using data-driven approach
(
- Contribution to journal › Article
- 2022
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Mark
Enhancing Sustainability of Corroded RC Structures : Estimating Steel-to-Concrete Bond Strength with ANN and SVM Algorithms
(
- Contribution to journal › Article
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Mark
IoET-SG : Integrating internet of energy things with smart grid
2022) p.49-61(
- Chapter in Book/Report/Conference proceeding › Book chapter
- 2021
-
Mark
Application of Artificial Intelligence for the Optimization of Hydropower Energy Generation
(
- Contribution to journal › Article
- 2020
-
Mark
Application of machine learning for hydropower plant silt data analysis
2020) 2020 International Conference on Innovations in Clean Energy Technologies, ICET 2020 p.5575-5579(
- Contribution to conference › Paper, not in proceeding