Memon Sa 1
1. Utilizing the Fanger thermal comfort model to evaluate the thermal, energy, economic, and environmental performance of PCM-integrated buildings in various climate zones worldwide
2. A novel approach to investigate the thermal comfort of the lightweight relocatable building integrated with PCM in different climates of Kazakhstan during summertime
3. A novel method to evaluate phase change materials impact on buildings energy, economic, and environmental performance via controlled natural ventilation
4. Breaking new ground: A first-of-its-kind critical analysis of review articles on phase change materials for building applications
5. Optimizing Energy Performance of Phase-Change Material-Enhanced Building Envelopes Through Novel Performance Indicators
6. Energy consumption forecasting in PCM-integration buildings considering building and environmental parameters for future climate scenarios
7. Interpretable predictive modeling, sustainability assessment, and cost analysis of cement-based composite containing secondary raw materials
8. Predictive Modeling and Experimental Validation for Assessing the Mechanical Properties of Cementitious Composites Made with Silica Fume and Ground Granulated Blast Furnace Slag
9. Calcium bentonite and sodium bentonite as stabilizers for roads unbound
10. Dataset regarding calcium bentonite and sodium bentonite as stabilizers for roads unbound
11. IRRIGATION AND MINERAL FERTILIZER EFFECTS ON PHYSICAL PROPERTIES OF LIGHT CHESTNUT SOIL USED IN THE CULTIVATION OF SUGAR BEET (BETA VULGARIS L.)
12. Self-sensing cementitious composites: Review and perspective
13. Sensitivity of energy performance to the selection of PCM melting temperature for the building located in Cfb climate zone
14. Efficient and high-precision time synchronization for wireless monitoring of civil infrastructure subjected to sudden events
15. Glass fiber reinforced gypsum composites with microencapsulated PCM as novel building thermal energy storage material
16. Sustainable lightweight concrete using waste-derived heavy fuel oil ash as a phase change material carrier: Thermal energy storage and structural performance in buildings
17. Strength, Hydraulic, and Microstructural Characteristics of Expansive Soils Incorporating Marble Dust and Rice Husk Ash
18. Implementation of the panel data regression analysis in PCM integrated buildings located in a humid subtropical climate
19. An Exhaustive Search Energy Optimization Method for Residential Building Envelope in Different Climatic Zones of Kazakhstan
20. Compressive Strength of Fly-Ash-Based Geopolymer Concrete by Gene Expression Programming and Random Forest
21. Novel indicators to evaluate PCM performance under different ventilation strategies by considering the impact of climate change
22. Evaluating future building energy efficiency and environmental sustainability with PCM integration in building envelope
23. Recycling Nanoarchitectonics of Graphene Oxide from Carbon Fiber Reinforced Polymer by the Electrochemical Method
24. Cost-effective, simple patterned PDMS/h-BN passive daytime radiative cooling film with durability and self-cleaning dual-function
25. A Review of Improvement of Interfacial Transition Zone and Adherent Mortar in Recycled Concrete Aggregate
26. Incorporation of wheat straw ash as partial sand replacement for production of eco‐friendly concrete
27. Use of Processed Sugarcane Bagasse Ash in Concrete as Partial Replacement of Cement: Mechanical and Durability Properties
28. Ranking PCMs for building façade applications using multi-criteria decision-making tools combined with energy simulations
29. 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
30. Energy consumption predictions by genetic programming methods for PCM integrated building in the tropical savanna climate zone
31. Evaluating the impact of data preprocessing to develop a robust MEP-based forecasting model for building integrated with PCM
32. Predicting the PCM-incorporated buildings performance using optimized linear kernel and tree-based machine learning methods
33. Quantitative evaluation of the thermal and energy performance of the PCM integrated building in the subtropical climate zone for current and future climate scenario
34. A novel approach to develop climate classification based on degree days and building energy performance
35. A Novel Methodology for Identifying the Top 1% Scientists Using a Composite Performance Index
36. Climate Zoning for Buildings: From Basic to Advanced Methods—A Review of the Scientific Literature
37. Enhancing the accuracy of climate zoning for buildings through precise climate variables selection and novel misclassification index
38. Novel building energy performance-based climate zoning enhanced with spatial constraint
39. Integrated multi-stage sensitivity analysis and multi-objective optimization approach for PCM integrated residential buildings in different climate zones
40. Sensitivity analysis and optimization of PCM integrated buildings in a tropical savanna climate
41. Assessment of the Seismicity of Peshawar Region in Line with the Historical Data and Modern Building Codes (ASCE-07 & IBC-2006)
42. Machine Learning-Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete
43. Feasibility assessment of newly isolated calcifying bacterial strains in self-healing concrete
44. Effect of phase change materials on the thermal performance of residential building located in different cities of a tropical rainforest climate zone
45. Combined Effects of Sulfate and Chloride Attack on Steel Reinforced Mortar under Drying–Immersion Cycles
46. Degradation mechanism of cement mortar exposed to combined sulfate–chloride attack under cyclic wetting–drying condition
47. Feasibility analysis of a solar air collector integrated phase change material in building heating systems based on TRNSYS
48. Influence of initial defects on the degradation of steel reinforced mortar exposed to cyclic wetting and drying environment based on 3D scanning
49. Forecasting energy demand of PCM integrated residential buildings: A machine learning approach
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