Combined influence of modified recycled concrete aggregate and metakaolin on high-strength concrete production: Experimental assessment and machine learning …
This article examines the advantages of adding metakaolin (MK) as a mineral additive to
concrete mixes with varied amounts of modified recycled concrete aggregate (MRCA) …
concrete mixes with varied amounts of modified recycled concrete aggregate (MRCA) …
Evaluation of textile effluent treatment plant sludge as supplementary cementitious material in concrete using experimental and machine learning approaches
The growing demand for readymade garments is leading to the production of a large amount
of textile effluent sludge (TES) from wastewater treatment plants, which is currently disposed …
of textile effluent sludge (TES) from wastewater treatment plants, which is currently disposed …
[HTML][HTML] Assessing the engineering properties and environmental impact with explainable machine learning analysis of sustainable concrete utilizing waste banana …
The production of cement is crucial for sustainable building construction but is costly and
contributes significantly to environmental pollution. To address these issues, this research …
contributes significantly to environmental pollution. To address these issues, this research …
High-strength self-compacting concrete production incorporating supplementary cementitious materials: experimental evaluations and machine learning modelling
This study investigates mechanical properties, durability performance, non-destructive
testing (NDT) characteristics, environmental impact evaluation, and advanced machine …
testing (NDT) characteristics, environmental impact evaluation, and advanced machine …
[HTML][HTML] Assessing the influence of sugarcane bagasse ash for the production of eco-friendly concrete: experimental and machine learning approaches
The innovative utilization of sugarcane bagasse ash (SCBA) in producing lightweight
concrete (LWC) needs to be explored experimentally and quantification with machine …
concrete (LWC) needs to be explored experimentally and quantification with machine …
Biochar as green adsorbents for pharmaceutical pollution in aquatic environments: A review
Rapid urbanization and advances in drug manufacturing have led to more pharmaceuticals
in aquatic ecosystems, raising environmental concerns. However, conventional wastewater …
in aquatic ecosystems, raising environmental concerns. However, conventional wastewater …
AI-Powered Fraud Detection in Banking: Safeguarding Financial Transactions
The banking industry's metamorphosis through digitalization has unquestionably
revolutionized accessibility and convenience for customers worldwide. However, this …
revolutionized accessibility and convenience for customers worldwide. However, this …
Quantifying compressive strength in limestone powder incorporated concrete with incorporating various machine learning algorithms with SHAP analysis
M Mishra - Asian Journal of Civil Engineering, 2024 - Springer
The use of waste and recycled materials in concrete is one potential solution to lessen the
impact of environmental problems from the concrete industry. The purpose of this work is to …
impact of environmental problems from the concrete industry. The purpose of this work is to …
Optimization of recycled rubber self-compacting concrete: Experimental findings and machine learning-based evaluation
This research aims to assess the rheological and mechanical characteristics of Self-
compacting concrete (SCC) incorporating waste tire rubber aggregates (WRTA) as an …
compacting concrete (SCC) incorporating waste tire rubber aggregates (WRTA) as an …
[PDF][PDF] Unsheltered: Navigating California's homelessness crisis
This paper presents a comprehensive exploration of the complex phenomenon of
homelessness in California, with a specific focus on the state's three largest cities—Los …
homelessness in California, with a specific focus on the state's three largest cities—Los …