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 …
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 …
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 …
Hybrid ensemble paradigms for estimating tunnel boring machine penetration rate for the 10-km long Bahce-Nurdagi twin tunnels
This study presents a novel hybrid ensemble strategy based on an inputs-outputs
amalgamation technique for estimating the rate of penetration (ROP) of tunnel boring …
amalgamation technique for estimating the rate of penetration (ROP) of tunnel boring …
Mechanical framework for geopolymer gels construction: an optimized LSTM technique to predict compressive strength of fly ash-based geopolymer gels concrete
As an environmentally responsible alternative to conventional concrete, geopolymer
concrete recycles previously used resources to prepare the cementitious component of the …
concrete recycles previously used resources to prepare the cementitious component of the …
Development of mathematically motivated artificial intelligence models for the prediction of carbonate rock lime saturation factor for cement production
Predicting the cement lime saturation factor (LSF) is vital in cement production as it
determines the optimal ratio of lime to other components. This factor affects the quality and …
determines the optimal ratio of lime to other components. This factor affects the quality and …
[HTML][HTML] Data-Driven Optimised XGBoost for Predicting the performance of Axial load bearing capacity of fully Cementitious Grouted Rock Bolting systems
This article investigates the application of eXtreme gradient boosting (XGBoost) and hybrid
metaheuristics optimisation techniques to predict the axial load bearing capacity of fully …
metaheuristics optimisation techniques to predict the axial load bearing capacity of fully …
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 …
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 …
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 …