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Predicting ground vibration during rock blasting using relevance vector machine improved with dual kernels and metaheuristic algorithms
The ground vibration caused by rock blasting is an extremely hazardous outcome of the
blasting operation. Blasting activity has detrimental effects on both the ecology and the …
blasting operation. Blasting activity has detrimental effects on both the ecology and the …
Prediction of compressive strength of geopolymer concrete landscape design: Application of the novel hybrid RF–GWO–XGBoost algorithm
J Zhang, R Wang, Y Lu, J Huang - Buildings, 2024 - mdpi.com
Landscape geopolymer concrete (GePoCo) with environmentally friendly production
methods not only has a stable structure but can also effectively reduce environmental …
methods not only has a stable structure but can also effectively reduce environmental …
Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil
The present research employs new boosting-based ensemble machine learning models ie,
gradient boosting (GB) and adaptive boosting (AdaBoost) to predict the unconfined …
gradient boosting (GB) and adaptive boosting (AdaBoost) to predict the unconfined …
Towards designing durable sculptural elements: Ensemble learning in predicting compressive strength of fiber-reinforced nano-silica modified concrete
R Wang, J Zhang, Y Lu, J Huang - Buildings, 2024 - mdpi.com
Fiber-reinforced nano-silica concrete (FrRNSC) was applied to a concrete sculpture to
address the issue of brittle fracture, and the primary objective of this study was to explore the …
address the issue of brittle fracture, and the primary objective of this study was to explore the …
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 …
Decision intelligence-based predictive modelling of hard rock pillar stability using K-nearest neighbour coupled with grey wolf optimization algorithm
Pillar stability is of paramount importance in ensuring the safety of underground rock
engineering structures. The stability of pillars directly influences the structural integrity of the …
engineering structures. The stability of pillars directly influences the structural integrity of the …
[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 …