301 results on '"Muhammad Nasir"'
Search Results
2. Insights into the genetic characteristics, clustering patterns, and phylogeographic dynamics of the JC polyomavirus, 1993 to 2023
3. Investigating the effectiveness of carbon nanotubes for the compressive strength of concrete using AI-aided tools
4. Emerging technologies, opportunities and challenges for microgrid stability and control
5. Integrating deep learning techniques for personalized learning pathways in higher education
6. Enhancing power quality in contemporary utility systems: A comprehensive analysis of active power filters and control strategies
7. Impact of public-private partnerships investment and FDI on CO2 emissions: A study of six global investment countries
8. Synthesis, microstructure, and electromagnetic behavior of graphene nanoplatelets/CZCF ferrite nanocomposites
9. Cultivating a greener future: Exploiting trichoderma derived secondary metabolites for fusarium wilt management in peas
10. Ionic liquids as lubricants: An overview of recent developments
11. Optimizing Friction Stir Processing Parameters for Aluminium Alloy 2024 Reinforced with SiC Particles: A Taguchi Approach of Investigation
12. Analyzing chloride diffusion for durability predictions of concrete using contemporary machine learning strategies
13. Comparing the efficacy of GEP and MEP algorithms in predicting concrete strength incorporating waste eggshell and waste glass powder
14. Nanoparticle-enhanced biodiesel blends: A comprehensive review on improving engine performance and emissions
15. Tribological Characterisation of Renewable Mustard Oil Biodiesel as Additive When Blended with Palm-Biodiesel
16. Predicting the crack repair rate of self-healing concrete using soft-computing tools
17. Corrigendum to “Development and evaluation of grit iron scale-MgO heavy density concrete for moderate-temperature radiation shielding” [Constr. Build. Mater. 408 (2023) 133567]
18. A comprehensive GEP and MEP analysis of a cement-based concrete containing metakaolin
19. Promoting the suitability of rice husk ash concrete in the building sector via contemporary machine intelligence techniques
20. Fresh state and strength performance evaluation of slag-based alkali-activated concrete using soft-computing methods
21. Proteomic profile of epidermal mucus from Labeo rohita reveals differentially abundant proteins after Aeromonas hydrophila infection
22. Optimization of colloidal nano-silica based cementitious mortar composites using RSM and ANN approaches
23. Evaluation of the mechanical properties, microstructure, and environmental impact of mortar incorporating metakaolin, micro and nano-silica
24. Sustainable alternate binding material for concrete using waste materials: A testing and computational study for the strength evaluation
25. Predicting the damage to cementitious composites due to acid attack and evaluating the effectiveness of eggshell powder using interpretable artificial intelligence models
26. A Novel Composite Connecting Rod: Study on Mechanical and Dynamic Behaviour Through Experimental and Finite Element Approach
27. Predicting the crack width of the engineered cementitious materials via standard machine learning algorithms
28. Machine learning interpretable-prediction models to evaluate the slump and strength of fly ash-based geopolymer
29. Comparative adsorption of tetracycline onto unmodified and NaOH-modified silicomanganese fumes: Kinetic and process modeling
30. Prediction model for rice husk ash concrete using AI approach: Boosting and bagging algorithms
31. Strength predictive models of cementitious matrix by hybrid intrusion of nano and micro silica: Hyper-tuning with ensemble approaches
32. Energy transition, natural resource consumption and environmental degradation: The role of geopolitical risk in sustainable development
33. Chemical characterization, antioxidant and antidiabetic activities of a novel polyherbal formulation comprising of Hordeum vulgare, Elettaria cardamomum and Cicer arietinum extracts
34. Corrigendum to “Bactericidal activities and biochemical analysis of skin mucus of Cyprinid fish” [J. King Saud Univ. – Sci. 35(6) (2023) 102731]
35. A data-driven approach to predict the compressive strength of alkali-activated materials and correlation of influencing parameters using SHapley Additive exPlanations (SHAP) analysis
36. Sustainable strategy of eggshell waste usage in cementitious composites: An integral testing and computational study for compressive behavior in aggressive environment
37. Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder
38. Investigating the influence of PVA and PP fibers on the mechanical, durability, and microstructural properties of one-part alkali-activated mortar: An experimental study
39. An integral approach for testing and computational analysis of glass powder in cementitious composites
40. Primary mycetoma of the calcaneum: Case report on an unusual hazard of barefoot walking
41. Prediction of sustainable concrete utilizing rice husk ash (RHA) as supplementary cementitious material (SCM): Optimization and hyper-tuning
42. Performance characteristics of cementitious composites modified with silica fume: A systematic review
43. Predicting parameters and sensitivity assessment of nano-silica-based fiber-reinforced concrete: a sustainable construction material
44. Investigating the feasibility of using waste eggshells in cement-based materials for sustainable construction
45. Evaluating the effectiveness of waste glass powder for the compressive strength improvement of cement mortar using experimental and machine learning methods
46. Machine learning interpretable-prediction models to evaluate the slump and strength of fly ash-based geopolymer
47. Predicting the crack width of the engineered cementitious materials via standard machine learning algorithms
48. Optimizing compressive strength prediction models for rice husk ash concrete with evolutionary machine intelligence techniques
49. Stepwise benchmarking based on production function: Selecting path towards closest target
50. Association of dietary factors with plasma homocysteine and coronary heart disease outcome
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.