An experimental and statistical investigation into the optimisation of eco-friendly concrete incorporating agricultural and industrial wastes. [PDF]
Akbar M +7 more
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Predicting the compressive strength of concrete incorporating waste powders exposed to elevated temperatures utilizing machine learning. [PDF]
Fathy IN +4 more
europepmc +1 more source
A review of utilization of waste polyurethane foam as lightweight aggregate in concrete. [PDF]
Roobankumar R, SenthilPandian M.
europepmc +1 more source
Thermal and Structural Behavior of Investment Casting Molds Modified with Biodegradable Walnut Shell Chips. [PDF]
Małek M +5 more
europepmc +1 more source
Geopolymer CLSM with Off-Specification Fly Ash and Bottom Ash: A Sustainable Approach to Hazardous Waste Utilization. [PDF]
VanDomelen AK +3 more
europepmc +1 more source
An extension of the Dewey decimal system of classification applied to the engineering industries [PDF]
Breckenridge, Lester Paige +1 more
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Machine learning for predicting strength properties of waste iron slag concrete. [PDF]
Raju MR +9 more
europepmc +1 more source
Dynamic weighted ensemble model for predictive optimization in green sand casting: Advancing industry 4.0 manufacturing. [PDF]
Rajkolhe RV, Bhagwat DSS, Deshmukh DPV.
europepmc +1 more source
Analyzing the influence of manufactured sand and fly ash on concrete strength through experimental and machine learning methods. [PDF]
Sathvik S +6 more
europepmc +1 more source
Eco-Friendly Inorganic Binders: A Key Alternative for Reducing Harmful Emissions in Molding and Core-Making Technologies. [PDF]
Kmita A +9 more
europepmc +1 more source

