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A scientometrics review of soil properties prediction using soft computing approaches
In this world, several types of soils are available with their different engineering properties.
Determining each soil's engineering properties is difficult because the laboratory procedures …
Determining each soil's engineering properties is difficult because the laboratory procedures …
Prediction of bearing capacity of pile foundation using deep learning approaches
The accurate prediction of bearing capacity is crucial in ensuring the structural integrity and
safety of pile foundations. This research compares the Deep Neural Networks (DNN) …
safety of pile foundations. This research compares the Deep Neural Networks (DNN) …
Enhancing the exploitation of natural resources for green energy: An application of LSTM-based meta-model for aluminum prices forecasting
Efficient resource allocation for electric car production can be achieved by anticipating
aluminum future pricing. For the electric car sector to maintain a steady supply chain …
aluminum future pricing. For the electric car sector to maintain a steady supply chain …
Assessment of hydraulic conductivity of compacted clayey soil using artificial neural network: An investigation on structural and database multicollinearity
This work reveals the effect of hidden layers (HL) and neurons (N) on the performance of
artificial neural network (ANN) models in predicting clayey soil's hydraulic conductivity (K) …
artificial neural network (ANN) models in predicting clayey soil's hydraulic conductivity (K) …
Prediction of uniaxial strength of rocks using relevance vector machine improved with dual kernels and metaheuristic algorithms
The uniaxial compressive strength (UCS) is an essential parameter to study rock
characteristics, determined by direct and indirect methods. However, the direct methods of …
characteristics, determined by direct and indirect methods. However, the direct methods of …
An eXtreme Gradient Boosting prediction of uplift capacity factors for 3D rectangular anchors in natural clays
This paper presents new numerical evaluations of the vertical uplift resistance of rectangular
anchors located in heterogeneous and anisotropic clays obeying the Anisotropic Undrained …
anchors located in heterogeneous and anisotropic clays obeying the Anisotropic Undrained …
[HTML][HTML] Fostering sustainable mining practices in rock blasting: Assessment of blast toe volume prediction using comparative analysis of hybrid ensemble machine …
Blast toe volume, pivotal in explosive engineering, underpins explosive energy efficient
utilization, blast safety and mine production sustainability. While current research explores …
utilization, blast safety and mine production sustainability. While current research explores …
Assessment of the uniaxial compressive strength of intact rocks: An extended comparison between machine and advanced machine learning models
Rock strength is the most deterministic parameter for studying geological disasters in
resource development and underground engineering construction. However, the …
resource development and underground engineering construction. However, the …
Assessing the effects of influencing parameters on field strength of soft coastal soil stabilized by deep mixing method
MS Mahabub, MR Hasan, J Khatti… - Bulletin of Engineering …, 2024 - Springer
Abstract Matarbari-Dhalghata Island, located on the southeastern coastal plain of
Bangladesh, possesses expansive and soft coastal clay that is increasingly utilized for …
Bangladesh, possesses expansive and soft coastal clay that is increasingly utilized for …
Assessment of short and long-term pozzolanic activity of natural pozzolans using machine learning approaches
This investigation introduces the optimal performance models for predicting the compressive
strength (CS) and pozzolanic activity index (PAI) by comparing the machine learning …
strength (CS) and pozzolanic activity index (PAI) by comparing the machine learning …