[HTML][HTML] Research on synergistic erosion by cavitation and sediment: A review

J Sun, X Ge, Y Zhou, D Liu, J Liu, G Li… - Ultrasonics Sonochemistry, 2023 - Elsevier
Sediment erosion frequently occurs in areas with high incidences of cavitation. The
collaborative impact of abrasion and cavitation presents a host of challenges, threats, and …

Compressive strength prediction of lightweight concrete: Machine learning models

A Kumar, HC Arora, NR Kapoor, MA Mohammed… - Sustainability, 2022 - mdpi.com
Concrete is the most commonly used construction material. The physical properties of
concrete vary with the type of concrete, such as high and ultra-high-strength concrete, fibre …

Performance prognosis of FRCM-to-concrete bond strength using ANFIS-based fuzzy algorithm

A Kumar, HC Arora, K Kumar, H Garg - Expert Systems with Applications, 2023 - Elsevier
Nowadays, strengthening of reinforced concrete structures with a new class of sustainable
materials is the possible solution to retrofit the aged deteriorated structures. It is difficult to …

Machine Learning‐Based CO2 Prediction for Office Room: A Pilot Study

NR Kapoor, A Kumar, A Kumar, A Kumar… - Wireless …, 2022 - Wiley Online Library
Air pollution is increasing profusely in Indian cities as well as throughout the world, and it
poses a major threat to climate as well as the health of all living things. Air pollution is the …

Prognosis of compressive strength of fly‐ash‐based geopolymer‐modified sustainable concrete with ML algorithms

A Kumar, HC Arora, NR Kapoor, K Kumar - Structural Concrete, 2023 - Wiley Online Library
Sustainable concrete is the demand of the present era to reduce carbon emissions. Fly‐ash‐
based geopolymer (FLAG) concrete has been used in the construction industry for more …

Transmission probability of SARS-CoV-2 in office environment using artificial neural network

NR Kapoor, A Kumar, A Kumar, A Kumar… - Ieee …, 2022 - ieeexplore.ieee.org
In this paper, curve-fitting and an artificial neural network (ANN) model were developed to
predict R-Event. Expected number of new infections that arise in any event occurring over a …

Ensemble learning based compressive strength prediction of concrete structures through real-time non-destructive testing

HC Arora, B Bhushan, A Kumar, P Kumar… - Scientific reports, 2024 - nature.com
This study conducts an extensive comparative analysis of computational intelligence
approaches aimed at predicting the compressive strength (CS) of concrete, utilizing two non …

Assessing the impact of hydropower projects in Brazil through data envelopment analysis and machine learning

M Bortoluzzi, M Furlan, JF dos Reis Neto - Renewable Energy, 2022 - Elsevier
The aim of this study was to assess the environmental impact of hydroelectric power
generation projects and classify them according to their scale of environmental impact. To …

Practical applicable model for estimating the carbonation depth in fly-ash based concrete structures by utilizing adaptive neuro-fuzzy inference system

A Kumar, HC Arora, NR Kapoor… - Computers and …, 2023 - koreascience.kr
Concrete carbonation is a prevalent phenomenon that leads to steel reinforcement corrosion
in reinforced concrete (RC) structures, thereby decreasing their service life as well as …

Event-specific transmission forecasting of SARS-CoV-2 in a mixed-mode ventilated office room using an ANN

NR Kapoor, A Kumar, A Kumar, DA Zebari… - International Journal of …, 2022 - mdpi.com
The emerging novel variants and re-merging old variants of SARS-CoV-2 make it critical to
study the transmission probability in mixed-mode ventilated office environments. Artificial …