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A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical …
Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble
learning (EL) are four outstanding approaches that enable algorithms to extract information …
learning (EL) are four outstanding approaches that enable algorithms to extract information …
Geopolymers as alternative sustainable binders for stabilisation of clays—a review
The need to transit to greener options in soil stabilisation has revamped research on the use
of industrial and agricultural by-products in order to cut down on the current carbon footprint …
of industrial and agricultural by-products in order to cut down on the current carbon footprint …
Hybrid gradient boosting with meta-heuristic algorithms prediction of unconfined compressive strength of stabilized soil based on initial soil properties, mix design and …
VQ Tran - Journal of Cleaner Production, 2022 - Elsevier
In the investigation, hybrid Gradient Boosting (GB) with four optimization techniques named
Simulated Annealing (SA), Random Restart Hill Climbing (RRHC), Particle Swarm …
Simulated Annealing (SA), Random Restart Hill Climbing (RRHC), Particle Swarm …
A performance comparison study on PM2. 5 prediction at industrial areas using different training algorithms of feedforward-backpropagation neural network (FBNN)
Presence of particulate matters with aerodynamic diameter of less than 2.5 μm (PM 2.5) in
the atmosphere is fast increasing in Malaysia due to industrialization and urbanization …
the atmosphere is fast increasing in Malaysia due to industrialization and urbanization …
[HTML][HTML] Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: a case study of granular …
Abstract The California Bearing Ratio (CBR) and modified proctor parameters belong to the
soil geotechnical properties used to assess soil behavior. Direct measurement of these …
soil geotechnical properties used to assess soil behavior. Direct measurement of these …
Neural networks implementation for the environmental optimisation of the recycled concrete aggregate inclusion in warm mix asphalt
Regarding the traditional Hot Mix Asphalt (HMA), Warm Mix Asphalt (WMA) with Recycled
Concrete Aggregate (RCA) contents (WMA-RCA) requires lower production temperatures …
Concrete Aggregate (RCA) contents (WMA-RCA) requires lower production temperatures …
Data‐driven approach for investigating and predicting of compressive strength of fly ash–slag geopolymer concrete
VQ Tran - Structural Concrete, 2023 - Wiley Online Library
Fly ash–slag geopolymer concrete is an intangible material that does not use conventional
Portland cement, thereby reducing CO2 emissions into the environment, and hel** to …
Portland cement, thereby reducing CO2 emissions into the environment, and hel** to …
[HTML][HTML] Viability of calcinated wastepaper sludge ash geopolymer in the treatment of road pavement subgrade materials
Problematic ground conditions constituted by weak or expansive clays are commonly
encountered in construction projects and require some form of chemical treatment such as …
encountered in construction projects and require some form of chemical treatment such as …
[HTML][HTML] Prediction of blast-induced ground vibration at a limestone quarry: an artificial intelligence approach
Ground vibration is one of the most unfavourable environmental effects of blasting activities,
which can cause serious damage to neighboring homes and structures. As a result, effective …
which can cause serious damage to neighboring homes and structures. As a result, effective …
Machine learning approaches for predicting Cracking Tolerance Index (CTIndex) of asphalt concrete containing reclaimed asphalt pavement
One of the various sorts of damage to asphalt concrete is cracking. Repeated loads, the
deterioration or aging of material combinations, or structural factors can contribute to the …
deterioration or aging of material combinations, or structural factors can contribute to the …