Big data in construction: current applications and future opportunities
Big data have become an integral part of various research fields due to the rapid
advancements in the digital technologies available for dealing with data. The construction …
advancements in the digital technologies available for dealing with data. The construction …
Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches
In this study, the replacement of raw rice husk, fly ash, and hydrated lime for fine aggregate
and cement was evaluated in making raw rice husk-concrete brick. This study optimizes …
and cement was evaluated in making raw rice husk-concrete brick. This study optimizes …
Inspecting buildings using drones and computer vision: A machine learning approach to detect cracks and damages
Manual inspection of infrastructure damages such as building cracks is difficult due to the
objectivity and reliability of assessment and high demands of time and costs. This can be …
objectivity and reliability of assessment and high demands of time and costs. This can be …
Concrete strength prediction using machine learning methods CatBoost, k-nearest neighbors, support vector regression
AN Beskopylny, SA Stel'makh, EM Shcherban'… - Applied Sciences, 2022 - mdpi.com
Currently, one of the topical areas of application of machine learning methods in the
construction industry is the prediction of the mechanical properties of various building …
construction industry is the prediction of the mechanical properties of various building …
Machine learning application to predict the Mechanical properties of Glass Fiber mortar
In this study, the mechanical properties of glass fiber mortars have been predicted using
machine learning tools, Response Surface Methodology (RSM), and Artificial Neural …
machine learning tools, Response Surface Methodology (RSM), and Artificial Neural …
Automatic target detection from satellite imagery using machine learning
Object detection is a vital step in satellite imagery-based computer vision applications such
as precision agriculture, urban planning and defense applications. In satellite imagery …
as precision agriculture, urban planning and defense applications. In satellite imagery …
Using adaptive sensors for optimised target coverage in wireless sensor networks
Innovation in wireless communications and microtechnology has progressed day by day,
and this has resulted in the creation of wireless sensor networks. This technology is utilised …
and this has resulted in the creation of wireless sensor networks. This technology is utilised …
Big data analytics in the AEC industry: scientometric review and synthesis of research activities
Purpose Unlocking the potential of Big Data Analytics (BDA) has proven to be a
transformative factor for the Architecture, Engineering and Construction (AEC) industry. This …
transformative factor for the Architecture, Engineering and Construction (AEC) industry. This …
A study on waste PCB fibres reinforced concrete with and without silica fume made from electronic waste
This research goal is to appraise the effect of electronic waste on concrete properties by
examining the mechanical properties of concrete reinforced with waste printed circuit boards …
examining the mechanical properties of concrete reinforced with waste printed circuit boards …
Assessing nitrate contamination risks in groundwater: a machine learning approach
Groundwater is one of the primary sources for the daily water requirements of the masses,
but it is subjected to contamination due to the pollutants, such as nitrate, percolating through …
but it is subjected to contamination due to the pollutants, such as nitrate, percolating through …