A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical …

E Yaghoubi, E Yaghoubi, A Khamees… - Neural Computing and …, 2024 - Springer
Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble
learning (EL) are four outstanding approaches that enable algorithms to extract information …

Geopolymers as alternative sustainable binders for stabilisation of clays—a review

JJ Jeremiah, SJ Abbey, CA Booth, A Kashyap - Geotechnics, 2021 - mdpi.com
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 …

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 …

A performance comparison study on PM2. 5 prediction at industrial areas using different training algorithms of feedforward-backpropagation neural network (FBNN)

P Chinatamby, J Jewaratnam - Chemosphere, 2023 - Elsevier
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 …

[HTML][HTML] Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: a case study of granular …

R Polo-Mendoza, J Duque, D Mašín - Case Studies in Construction …, 2024 - Elsevier
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 …

Neural networks implementation for the environmental optimisation of the recycled concrete aggregate inclusion in warm mix asphalt

R Polo-Mendoza, G Martinez-Arguelles… - Road Materials and …, 2024 - Taylor & Francis
Regarding the traditional Hot Mix Asphalt (HMA), Warm Mix Asphalt (WMA) with Recycled
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 …

[HTML][HTML] Viability of calcinated wastepaper sludge ash geopolymer in the treatment of road pavement subgrade materials

JJ Jeremiah, SJ Abbey, CA Booth, EU Eyo - Transportation Geotechnics, 2024 - Elsevier
Problematic ground conditions constituted by weak or expansive clays are commonly
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

CK Arthur, RM Bhatawdekar, ET Mohamad… - Applied sciences, 2022 - mdpi.com
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 …

Machine learning approaches for predicting Cracking Tolerance Index (CTIndex) of asphalt concrete containing reclaimed asphalt pavement

LN Nguyen, TH Le, LQ Nguyen, VQ Tran - Plos one, 2023 - journals.plos.org
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 …