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[HTML][HTML] Machine learning approach to surface plasmon resonance bio-chemical sensor based on nanocarbon allotropes for formalin detection in water
This article investigates the design of a surface plasmon resonance (SPR) sensor that
utilizes carbon nanotubes (CNT) and graphene to detect formalin concentration in water …
utilizes carbon nanotubes (CNT) and graphene to detect formalin concentration in water …
[HTML][HTML] A predictive machine learning model for estimating wave energy based on wave conditions relevant to coastal regions
Growth and expansion in construction has increased recently and especially in coastal
areas. In Alexandria, Egypt, mega projects such as El-Max Port Project (Middle Port), Port of …
areas. In Alexandria, Egypt, mega projects such as El-Max Port Project (Middle Port), Port of …
Carbon-footprint based concrete proportion design using LSTM and MOPSO algorithms
L **, Y Zhang, P Liu, T Fan, T Wu, Q Wu - Materials Today …, 2024 - Elsevier
Artificial intelligence can design more sustainable concrete mixtures to reduce costs and CO
2 emissions. In this paper, a concrete mix ratio design method based on deep learning …
2 emissions. In this paper, a concrete mix ratio design method based on deep learning …
Identifying drivers of COVID-19 vaccine sentiments for effective vaccination policy
The COVID-19 pandemic has had far-reaching consequences globally, including a
significant loss of lives, escalating unemployment rates, economic instability, deteriorating …
significant loss of lives, escalating unemployment rates, economic instability, deteriorating …
Predicting the Mix Proportions of Concrete Containing Calcined Clay Using Hybridized CNN and XGB and Employing the Shapley Method for Sensitivity Analysis
The use of calcined clay as supplementary cementitious materials to blend with Portland
cement has been increased since it resulted in many environmental advantages such as …
cement has been increased since it resulted in many environmental advantages such as …
A Machine Learning-Based User-Friendly Approach for Prediction of Traffic-Induced Vibrations and its Application for Parametric Study
The ground-borne vibrations are generated when heavy vehicles travel over the speed
bumps at high speeds. Traffic-induced vibrations are annoying for the occupants and …
bumps at high speeds. Traffic-induced vibrations are annoying for the occupants and …
Light weight concrete mix design through fuzzy logic with Cosine similarity aided optimized rules
MA Jayaram - Materials Today: Proceedings, 2023 - Elsevier
In this paper, a novel model of mix design built on fuzzy concepts is elaborated. For the
development of the model, around 300 lightweight mix design data which is a blend of …
development of the model, around 300 lightweight mix design data which is a blend of …
[HTML][HTML] Compressive strength prediction of nano-modified concrete: A comparative study of advanced machine learning techniques
X Tao - AIP Advances, 2024 - pubs.aip.org
This study aims to develop predictive models for accurately forecasting the uniaxial
compressive strength of concrete enhanced with nanomaterials. Various machine learning …
compressive strength of concrete enhanced with nanomaterials. Various machine learning …
[PDF][PDF] Concrete Strength and Aggregate Properties: In-Depth Analysis of Four Sources
K Hosen, MA Al Maruf, R Howlader… - Civil Engineering …, 2024 - researchgate.net
In the field of Reinforced Concrete Construction, concrete emerges as the predominant and
extensively employed construction material. Concrete comprises a solid, chemically inert …
extensively employed construction material. Concrete comprises a solid, chemically inert …
Assessing the effect of powdered biochar on improving the efficiency of ceramic filters
E Ashaba - 2023 - ir.busitema.ac.ug
Water is a basic need for everyone around the world irrespective of their location or age in
all aspects of life and for sustainable development. Therefore, water is a universal goal that …
all aspects of life and for sustainable development. Therefore, water is a universal goal that …