Muhammad Izhar Shah
Civil and Structural Engineering · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Civil and Structural Engineering — 240 citations into it
- Artificial Intelligence — 5 citations into it
Whom Muhammad Izhar Shah trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Muhammad Izhar Shah's perspective
Ordered by how strongly the researchers Muhammad Izhar Shah trusts endorse each paper. Same corpus, a different order for every researcher.
- Gene Expression Programming: A New Adaptive Algorithm for Solving Problems (Complex Systems)
- A Representation for the Adaptive Generation of Simple Sequential Programs
- Use of waste glass as sand in mortar: Part I – Fresh, mechanical and durability properties
- Modeling of strength of high-performance concrete using artificial neural networks
- Use of selected waste materials in concrete mixes. (Waste Management)
- Beware of q2! (Journal of Molecular Graphics and Modelling)
- Sustainable stabilization/solidification of municipal solid waste incinerator fly ash by incorporation of green materials (Journal of Cleaner Production)
- Genetic programming as a means for programming computers by natural selection
- Performance evaluation of sugarcane bagasse ash blended cement in concrete
- Properties of high volume glass powder concrete
Their papers
- Machine learning modeling integrating experimental analysis for predicting the properties of sugarcane bagasse ash concrete (2022) — 71 citations
- Geopolymer concrete as sustainable material: A state of the art review (2021) — 296 citations
- Applications of Gene Expression Programming and Regression Techniques for Estimating Compressive Strength of Bagasse Ash based Concrete (2020) — 150 citations