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Poornima Hulipalled

Observed name: Hulipalled, Poornima
ORCID: 0000-0003-4680-8120
Observed ORCID: 0000-0003-4680-8120
OpenAlex ID: A5068109539
Interpretable ensemble machine learning framework to predict wear rate of modified ZA-27 alloy
2023 · Poornima Hulipalled, Veerabhadrappa Algur, et al. · Tribology International · 44
Machine Learning Algorithms to Predict Wear Behavior of Modified ZA-27 Alloy Under Varying Operating Parameters
2021 · Veerabhadrappa Algur, Poornima Hulipalled, et al. · Journal of Bio- and Tribo-Corrosion · 36
An Approach of Data Science for the Prediction of Wear Behaviour of Hypereutectoid Steel
2022 · Poornima Hulipalled, Veerabhadrappa Algur, et al. · Journal of Bio- and Tribo-Corrosion · 13
A statistical and neural network approach to investigate the tribological behavior of ZA-27 alloy
2024 · Poornima Hulipalled, Veerabhadrappa Algur, et al. · Multiscale and Multidisciplinary Modeling Experiments and Design · 8
Intelligent retrieval of wear rate prediction for hypereutectoid steel
2023 · Poornima Hulipalled, Veerabhadrappa Algur, et al. · Multiscale and Multidisciplinary Modeling Experiments and Design · 7
Enhancing Prediction Accuracy of Machine Learning Models for Materials Informatics Problems in Alloy Design: A Case Study on Dual-Phase Steel
2025 · Bhaskarjyoti Das, Poornima Hulipalled, et al. · Journal of Materials Engineering and Performance · 5
Optimized Machine Learning Algorithms to predict wear behavior of Tribo- Informatics
2022 · Poornima Hulipalled, V Lokesha · Research Square · 3
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Explainable machine learning for predicting the mechanical strength of eco-friendly geopolymer concrete
2026 · Veerabhadrappa Algur, Poornima Hulipalled, et al. · ENGINEERING Structure and Civil Engineering · 2
Data driven predictive analysis of hardened properties of sustainable geopolymer concrete developed by using fly ash and sugarcane bagasse ash using explainable AI
2026 · Tanu H M, MD Khalid S, et al. · Next Materials · 1
Machine learning as a reliable tool for compressive strength prediction in pa6-cf
2026 · Dhinakaran Veeman, Pradeep Castro P, et al. · Multiscale and Multidisciplinary Modeling Experiments and Design · 1
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Mechanical performance and explainable machine learning analysis of manufactured sand high-performance concrete incorporating mineral admixtures
2026 · Basavalingappa Basavalingappa, M.S. Shobha, et al. · Research on Engineering Structures and Materials
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ML driven optimization of mechanical properties in hybrid fiber-reinforced tertiary blended high-performance concrete
2024 · M.S. Shobha, Poornima Hulipalled, et al. · Research on Engineering Structures and Materials
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Review of: "Optimized Material Removal and Tool Wear Rates in Milling API 5ST TS-90 Alloy: AI-Driven Optimization and Modelling with ANN, ANFIS, and RSM"
2023 · Poornima Hulipalled · Qeios
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Intelligent Prediction of Wear Loss Based on Ensemble Learning in Dual-Phase Steel
2023 · Hulipalled, Poornima, V Lokesha · JOURNAL OF INTERNATIONAL ACADEMY OF PHYSICAL SCIENCES
Wear Behaviour Of Modified ZA-27 Alloy: A Statistical Analysis
2022 · Poornima Hulipalled, Veerabhadrappa Algur, et al. · Journal of Mines Metals and Fuels
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Works count: 15
Citation count: 120
H-index: 5
I10-index: 3
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