NERUSUPALLI DINESH KUMAR REDDY

Employment

Employment history is unavailable.

Education

• Delhi Technological University P.hD
  2018 - 2024

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Predictive modeling and multi-parameter optimization of geopolymer mixes using SVM-GA hybrid approach
  Multiscale and Multidisciplinary Modeling, Experiments and Design 2026 2 citations DOI: 10.1007/s41939-025-01097-3
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• Predictive Analytics for Irrigation Water Quality: An Optimized Approach by Using Genetic Algorithm
  Natural Resources Research 2026 1 citation DOI: 10.1007/s11053-025-10599-3
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• Improving soil liquefaction prediction: A sophisticated ensemble classifier utilizing enhanced correlation features and a metaheuristic ant colony optimization approach
  Engineering Geology 2025 7 citations DOI: 10.1016/j.enggeo.2025.108036
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• Assessment of Soil Liquefaction Potential Using Genetic Programming Using a Probability-Based Approach
  Iranian Journal of Science and Technology, Transactions of Civil Engineering 2024 8 citations DOI: 10.1007/S40996-024-01421-W
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• Assessment of soil liquefaction potential using genetic programming using a probability-based approach
  Research Square 2024 1 citation DOI: 10.21203/rs.3.rs-3866718/v1
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• Evaluation of soil liquefaction potential using ensemble classifier based on grey wolves optimizer (GWO)
  Soil Dynamics and Earthquake Engineering 2024 12 citations DOI: 10.1016/J.SOILDYN.2024.108750
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• Soil classification using machine learning
  AIP Conference Proceedings 2024 1 citation DOI: 10.1063/5.0200888
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• The Adoption of Deep Belief Network Classifier with Shark Smell Optimizer to Predict the Soil Liquefaction
  Lecture Notes in Civil Engineering 2024 0 citations DOI: 10.1007/978-981-99-2676-3_28
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• Optimized ensemble-classification for prediction of soil liquefaction with improved features
  Multimedia Tools and Applications 2023 8 citations DOI: 10.1007/S11042-023-14816-0
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• A novel soil liquefaction prediction model with intellectual feature extraction and classification
  Advances in Engineering Software 2022 18 citations DOI: 10.1016/J.ADVENGSOFT.2022.103233
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