A hyper parameterized artificial neural network approach for prediction of the factor of safety against liquefaction

TF Kurnaz, C Erden, AH Kökçam, U Dağdeviren… - Engineering …, 2023 - Elsevier
Soil liquefaction during earthquakes is a complex geotechnical engineering problem.
Although various analytical approaches exist for predicting liquefaction risk, their limitations …

Neural transfer learning for soil liquefaction tests

Y Fang, I Jairi, N Pirhadi - Computers & Geosciences, 2023 - Elsevier
Soil liquefaction is one of the most disastrous sides of earthquakes which can cause severe
damage to structures, infrastructures, and individuals' lives. Therefore, establishing new and …

A novel soil liquefaction prediction model with intellectual feature extraction and classification

NDK Reddy, AK Gupta, AK Sahu - Advances in Engineering Software, 2022 - Elsevier
This paper introduced a novel soil liquefaction prediction model with proposed features.
Initially, pre-processing was carried out and then diverse improved features (chi-square …

Soft Computing to predict earthquake-induced soil liquefaction via CPT results

AR Ghanizadeh, A Aziminejad, PG Asteris… - Infrastructures, 2023 - mdpi.com
Earthquake-induced soil liquefaction (EISL) can cause significant damage to structures,
facilities, and vital urban arteries. Thus, the accurate prediction of EISL is a challenge for …

Bibliometric analysis of artificial intelligence techniques for predicting soil liquefaction: insights and MCDM evaluation

AH Kökçam, C Erden, AS Demir, TF Kurnaz - Natural Hazards, 2024 - Springer
The geotechnical phenomenon of soil liquefaction has serious implications for infrastructure
and human safety, making it crucial to develop effective prediction and mitigation strategies …

Artificial intelligence-optimized design for dynamic compaction in granular soils

R Ewusi-Wilson, C Lee, J Park - Acta Geotechnica, 2024 - Springer
This study presents a novel procedure and mathematical model employing four artificial
intelligence AI algorithms to predict the cumulative degree of soil compaction CDSC during …

Optimized ensemble-classification for prediction of soil liquefaction with improved features

NDK Reddy, AK Gupta, AK Sahu - Multimedia Tools and Applications, 2023 - Springer
The occurrence of soil liquefaction is an interesting and complicated field in the geotechnical
earthquake, which has attained the consideration of a lot of analysts in current years …

Evaluation of soil liquefaction potential using ensemble classifier based on grey wolves optimizer (GWO)

NDK Reddy, AK Gupta, AK Sahu - Soil Dynamics and Earthquake …, 2024 - Elsevier
Soil liquefaction is a primary factor in causing destruction during earthquakes. For over four
decades, there has been significant improvement in detecting soil liquefaction. At initially …

A comparative analysis of ensemble learning algorithms with hyperparameter optimization for soil liquefaction prediction

AS Demir, TF Kurnaz, AH Kökçam, C Erden… - Environmental Earth …, 2024 - Springer
Accurate prediction of soil liquefaction potential is crucial for evaluating the stability of
structures in earthquake regions. This study focuses on predicting soil liquefaction using a …

[HTML][HTML] Multi-model seismic susceptibility assessment of the 1950 great Assam earthquake in the Eastern Himalayan front

A Bhadran, BP Duarah, D Girishbai, AL Achu… - Geosystems and …, 2024 - Elsevier
The seismic susceptibility and mitigation management is paramount concern in tectonically
active area like Northeastern India. This area has been devastated innumerably during the …