[HTML][HTML] The usage of 10-fold cross-validation and grid search to enhance ML methods performance in solar farm power generation prediction
It is essential to have accurate projections of the quantity of solar energy that will be
generated in the future to improve the competitiveness of solar power plants in the energy …
generated in the future to improve the competitiveness of solar power plants in the energy …
[HTML][HTML] Babysitting hyperparameter optimization and 10-fold-cross-validation to enhance the performance of ML methods in Predicting Wind Speed and Energy …
SM Malakouti - Intelligent Systems with Applications, 2023 - Elsevier
Academics have been interested in renewable energy for a long time, and research has
been done on how to use it, collect it, manage it, make it more efficient, and find uses for it …
been done on how to use it, collect it, manage it, make it more efficient, and find uses for it …
[HTML][HTML] ML: Early Breast Cancer Diagnosis
Breast cancer is the most common malignancy among women worldwide, often
characterized by the uncontrolled proliferation of breast cells, leading to the formation of …
characterized by the uncontrolled proliferation of breast cells, leading to the formation of …
Employing machine learning algorithm for properties of wood ceramics prediction: A case study of ammonia nitrogen adsorption capacity, apparent porosity, surface …
W Jiang, X Guo, Q Guan, Y Zhang, D Du - Ceramics International, 2024 - Elsevier
The estimation of material performance plays a crucial role in practical life, enabling the
rational allocation of time and resources while enhancing the practical application of …
rational allocation of time and resources while enhancing the practical application of …
Thermal Runaway Detection of Lithium-ion Battery Based on SE-Res-LSTM
Z Cao, C Li, Y Cao, S Wang… - 2024 7th International …, 2024 - ieeexplore.ieee.org
Monitoring the thermal runaway of lithium-ion battery, especially to detect the thermal
runaway fault of lithiumion battery in the overcharge state is of great importance. This paper …
runaway fault of lithiumion battery in the overcharge state is of great importance. This paper …
A machine learning approach to gamma-ray identification with the Cherenkov Telescope Array
W Kaal - 2023 - fse.studenttheses.ub.rug.nl
The Cherenkov Telescope Array (CTA) is expected to be far more accurate and have a five
to ten times higher sensitivity than the current generation of ground-based gamma-ray …
to ten times higher sensitivity than the current generation of ground-based gamma-ray …