Nazir K 1

1. Energy consumption forecasting in PCM-integration buildings considering building and environmental parameters for future climate scenarios
2. Life cycle impact assessment of recycled aggregate concrete, geopolymer concrete, and recycled aggregate-based geopolymer concrete
3. Concrete by Preplaced Aggregate Method Using Silica Fume and Polypropylene Fibres
4. Modeling of mechanical properties of silica fume-based green concrete using machine learning techniques
5. Predictive modeling of mechanical properties of silica fume-based green concrete using artificial intelligence approaches: MLPNN, ANFIS, and GEP
6. A novel framework for developing a machine learning-based forecasting model using multi-stage sensitivity analysis to predict the energy consumption of PCM-integrated building
7. Energy consumption predictions by genetic programming methods for PCM integrated building in the tropical savanna climate zone
8. Evaluating the impact of data preprocessing to develop a robust MEP-based forecasting model for building integrated with PCM
9. Predicting the PCM-incorporated buildings performance using optimized linear kernel and tree-based machine learning methods
10. Forecasting energy demand of PCM integrated residential buildings: A machine learning approach
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