392 results on '"Sihag, Parveen"'
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2. Estimation of Compressive Strength of Rubberised Slag Based Geopolymer Concrete Using Various Machine Learning Techniques Based Models
3. Development of soft computing-based models for forecasting water quality index of Lorestan Province, Iran
4. Artificial neural network and soft computing models to predict the compressive strength in self-compacting green concrete
5. Forecasting compressive strength of jute fiber reinforced concrete using ANFIS, ANN, RF and RT models
6. Predicting Marshall Stability of Carbon Fiber-Reinforced Asphalt Concrete Using Machine Learning Techniques
7. SCC containing rice husk ash
8. Predict compressive strength of self-compacting concrete with cement kiln dust by using machine learning techniques
9. Incorporating crumb rubber in slag-based geopolymer: Experimental work and predictive modelling
10. Experimental and modelling analysis of waste material-based geopolymer concrete incorporated with crumb rubber particles
11. Exploring machine learning models to predict the unfrozen water content in copper-contaminated clays
12. Development and application of modeling techniques to estimate the unsaturated hydraulic conductivity
13. Estimating the effect of sand-roughened bed on hydraulic jump characteristics using heuristic models
14. Polypropylene waste plastic fiber morphology as an influencing factor on the performance and durability of concrete: Experimental investigation, soft-computing modeling, and economic analysis
15. Soft computing-based model development for estimating the aeration efficiency through Parshall flume and Venturi flumes
16. Predictive modelling of nitrogen dioxide using soft computing techniques in the Agra, Uttar Pradesh, India
17. Assessing the compressive and splitting tensile strength of self-compacting recycled coarse aggregate concrete using machine learning and statistical techniques
18. Influence of silica fume and Bacillus subtilis combination on concrete made with recycled concrete aggregate: Experimental investigation, economic analysis, and machine learning modeling
19. High-performance self-compacting concrete with recycled coarse aggregate: Soft-computing analysis of compressive strength
20. Soft computing techniques for assessment of strength of concrete with marble powder
21. Support vector regression (SVR) and grey wolf optimization (GWO) to predict the compressive strength of GGBFS-based geopolymer concrete
22. Assessment of Soft Computing-Based Techniques for the Prediction of Marshall Stability of Asphalt Concrete Reinforced with Glass Fiber
23. Predicting daily soil temperature at multiple depths using hybrid machine learning models for a semi-arid region in Punjab, India
24. Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions
25. Modelling and prediction of binder content using latest intelligent machine learning algorithms in carbon fiber reinforced asphalt concrete
26. Environmental impact analysis and utilization of copper slag for stabilising black cotton soil
27. A Review: Aeration Efficiency of Hydraulic Structures in Diffusing DO in Water
28. Assessment of flexural strength of concrete with marble powder applying soft computing techniques
29. Evaluation and Estimation of Compressive Strength of Concrete Using Hybrid Modeling Techniques
30. Prediction of the compressive strength of concrete using various predictive modeling techniques
31. Selection of the best clustering technique in order to zone the frequency of dust storms in Iran
32. Crop classification by using dual-pol SAR vegetation indices derived from Sentinel-1 SAR-C data
33. Prediction of Concrete Mix Compressive Strength Using Waste Marble Powder
34. Evaluation of Models by Soft Computing Techniques for the Prediction of Compressive Strength of Concrete Using Steel Fibre
35. Applications of Computational Intelligence in Concrete Technology
36. Strength and durability of flyash, GGBS and cement clinker stabilized dispersive soil
37. A benchmark comparison and optimization of Gaussian process regression, support vector machines, and M5P tree model in approximation of the lateral confinement coefficient for CFRP-wrapped rectangular/square RC columns
38. Evaluating Parshall flume aeration with experimental observations and advance soft computing techniques
39. Evaluation of tree regression analysis for estimation of river basin discharge
40. Prediction of river discharge of Kesinga sub-catchment of Mahanadi basin using machine learning approaches
41. Investigating the Effect of Horizontal Screen on Hydraulic Parameters of Vertical Drop
42. Systematic multiscale models to predict the effect of high-volume fly ash on the maximum compression stress of cement-based mortar at various water/cement ratios and curing times
43. Soft computing techniques: Systematic multiscale models to predict the compressive strength of HVFA concrete based on mix proportions and curing times
44. Estimation of UCS-FT of Dispersive Soil Stabilized with Fly Ash, Cement Clinker and GGBS by Artificial Intelligence
45. Predicting Bond Strength of FRP Bars in Concrete Using Soft Computing Techniques
46. Machine Learning-Based Erosion Behavior of Silicon Carbide Reinforced Polymer Composites
47. Prediction of Homogeneous Earthen Slope Safety Factors Using the Forest and Tree Based Modelling
48. Analysis of Data Splitting on Streamflow Prediction using Random Forest.
49. Neuro-Fuzzy Approach for Predicting the Infiltration of Soil
50. Prediction of sulphur dioxide (SO2) in air by using bagging, ANN and M5P: a case study, Gaya and Tirupati, India
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