3 天前 - … that uses a hybrid SMOTE method to solve newlinethe class unbalanced problem.
A decision tree model would be built for each newlinemap block. The decision tree building …

5 天前 - … also very limited for Machine Learning (ML) model development. Here, we
demonstrated a simple yet robust hybrid architecture leveraging a Convolutional Neural Network for …

5 天前 - … decision problems. The WASPAS method is validated as a simple, robust and stable
decision model … Due to its excellent advantages in decision analysis, it has been extended …

6 天前 - … , and new models were trained on these synthetic datasets. The hybrid resampling
method … The ROSE-applied model obtained a sensitivity of 38% and specificity of 96%, while …

6 天前 - … This thesis explores how assessment frameworks can be adapted to effectively …
metrics to support more informed decision-making. Life cycle assessment (LCA) studies typically …

6 天前 - … to estimate surface solar radiation. This study aims to establish and compare four
hybrid models by coupling a physical model with machine learning models. Uncertainty in …

6 天前 - … model configurations viz., disregarding the presence of SMRs (M1), a statistically
aggregated approach (M2), and a hybrid … how increased model complexity affects the model …

7 天前 - … Firstly, the development of cost assessment models for a WWS at a whole-system
level is essential to account for costs interactions when evaluating the overall cost behaviour …

7 天前 - … To support decision making for cardiac intervention, we propose a hybrid CNNTransformer
model for the assessment of angiographybased non-invasive fractional flow-reserve …

7 天前 - … In Section 3, we define the methodology of our proposed work, which incorporates
a hybrid model integrating georeferenced data and statistical methods. Section 4 presents …