A review of modern machine learning techniques in the prediction of remaining useful life of lithium-ion batteries
P Sharma, BJ Bora - Batteries, 2022 - mdpi.com
The intense increase in air pollution caused by vehicular emissions is one of the main
causes of changing weather patterns and deteriorating health conditions. Furthermore …
causes of changing weather patterns and deteriorating health conditions. Furthermore …
Ensemble extreme gradient boosting based models to predict the bearing capacity of micropile group
M Esmaeili-Falak, RS Benemaran - Applied Ocean Research, 2024 - Elsevier
In most cases in which non-allowable settlement or losing of bearing capacity has been
encountered in geotechnical engineering, employing micropile usually leads to satisfactory …
encountered in geotechnical engineering, employing micropile usually leads to satisfactory …
Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II
A Samnioti, V Gaganis - Energies, 2023 - mdpi.com
In recent years, Machine Learning (ML) has become a buzzword in the petroleum industry,
with numerous applications which guide engineers in better decision making. The most …
with numerous applications which guide engineers in better decision making. The most …
Prediction of ultimate bearing capacity of shallow foundations on cohesionless soil using hybrid lstm and rvm approaches: An extended investigation of …
This research presents the optimum performance model for predicting the shallow
foundation ultimate bearing capacity (UBC). Twenty-one models are employed, trained …
foundation ultimate bearing capacity (UBC). Twenty-one models are employed, trained …
[HTML][HTML] Artificial intelligence-based estimation of ultra-high-strength concrete's flexural property
Abstract Advancement in Artificial Intelligence (AI) techniques and their applications in the
construction industry, particularly for predicting mechanical properties of concrete, leads to …
construction industry, particularly for predicting mechanical properties of concrete, leads to …
Sonication impact on thermal conductivity of f-MWCNT nanofluids using XGBoost and Gaussian process regression
Background Previous research has revealed that nanofluids are capable of improving the
heat transfer performance of energy systems. Researchers devote a considerable deal of …
heat transfer performance of energy systems. Researchers devote a considerable deal of …
Sustainable strategy of eggshell waste usage in cementitious composites: An integral testing and computational study for compressive behavior in aggressive …
The effectiveness of cementitious composites in an aggressive environment is the primary
issue since their performance deteriorates when exposed to harmful elements. Also, to …
issue since their performance deteriorates when exposed to harmful elements. Also, to …
[HTML][HTML] Experimental investigation and AI prediction modelling of ceramic waste powder concrete–An approach towards sustainable construction
The ceramic waste powder (CWP) is generated in the ceramic industry during the cutting
and polishing stages. It is harmful to the environment and needs a massive area for …
and polishing stages. It is harmful to the environment and needs a massive area for …
Compressive strength estimation of steel-fiber-reinforced concrete and raw material interactions using advanced algorithms
Steel-fiber-reinforced concrete (SFRC) has been introduced as an effective alternative to
conventional concrete in the construction sector. The incorporation of steel fibers into …
conventional concrete in the construction sector. The incorporation of steel fibers into …
Machine learning approach for diabetes detection using fine-tuned XGBoost algorithm
A Maulana, FR Faisal, TR Noviandy… - Infolitika Journal of …, 2023 - heca-analitika.com
Diabetes is a chronic condition characterized by elevated blood glucose levels which leads
to organ dysfunction and an increased risk of premature death. The global prevalence of …
to organ dysfunction and an increased risk of premature death. The global prevalence of …