Novel machine learning applications on fly ash based concrete: an overview
A machine learning technique provides rapid access to various information models,
approaches, complex systems, and algorithms. In the present scenario the artificial neural …
approaches, complex systems, and algorithms. In the present scenario the artificial neural …
Machine learning to predict the production of bio-oil, biogas, and biochar by pyrolysis of biomass: a review
K Khandelwal, S Nanda, AK Dalai - Environmental Chemistry Letters, 2024 - Springer
The world energy consumption has increased by+ 195% since 1970 with more than 80% of
the energy mix originating from fossil fuels, thus leading to pollution and global warming …
the energy mix originating from fossil fuels, thus leading to pollution and global warming …
Progress in pyrolysis conversion of waste into value-added liquid pyro-oil, with focus on heating source and machine learning analysis
This work emphases the influence of using different heating sources (direct thermal, solar,
infrared, microwave heating) on the pyro-oil yield. The effect of the dominating process …
infrared, microwave heating) on the pyro-oil yield. The effect of the dominating process …
Bandgap prediction of metal halide perovskites using regression machine learning models
Organometal halide perovskites represent a type of nanomaterials, which are extensively
used in solar cells, light-emitting diodes, detectors and memristors due to their outstanding …
used in solar cells, light-emitting diodes, detectors and memristors due to their outstanding …
Prediction of compressive strength and portland cement composition using cross-validation and feature ranking techniques
V Vakharia, R Gujar - Construction and Building Materials, 2019 - Elsevier
Prediction of compressive strength and concrete composition using machine learning
models is an essential feature in civil engineering applications. In the present paper, a …
models is an essential feature in civil engineering applications. In the present paper, a …
[HTML][HTML] Convolutional neural network for predicting crack pattern and stress-crack width curve of air-void structure in 3D printed concrete
Extrusion-based 3D concrete printing (3DCP) results in deposited materials with complex
microstructures that have high porosity and distinct anisotropy. Due to the material …
microstructures that have high porosity and distinct anisotropy. Due to the material …
Mix design and performance evaluation of microsurfacing containing electric arc furnace (EAF) steel slag filler
Microsurfacing is an important technique for the preventive maintenance of roads.
Accordingly, the road construction and urban planning sectors are concerned about the …
Accordingly, the road construction and urban planning sectors are concerned about the …
Effects of waste-based pyrolysis as heating source: meta-analyze of char yield and machine learning analysis
Among three energy products of oil, char, and gas from pyrolysis, char has the advantages
of easy operation and low cost. It is expected that pyrolysis of waste materials using a …
of easy operation and low cost. It is expected that pyrolysis of waste materials using a …
Substitution of the natural aggregate filler by coal waste powder (CWP) in microsurfacing surface treatment: Mix design and performance evaluation
Demand for waste materials has increased significantly due to the environmental impacts
and limited natural resources. The current study mainly aimed to examine the application of …
and limited natural resources. The current study mainly aimed to examine the application of …
Process-oriented guidelines for systematic improvement of supervised learning research in construction engineering
A limited assessment of the development process and various stages of machine learning
(ML) based solutions for construction engineering (CE) problems are available in the …
(ML) based solutions for construction engineering (CE) problems are available in the …