For more comparisons, please refer to our paper for details. python test.py \ --input_image test_input \ --config configs/mulsrresnet_gan.yml \ --test_model_path ...

The project focuses on explainable machine learning methods to predict the CO 2 sequestration values in carbonation and analyze the impact of input features on CO 2 absorption rate. Models were ...

The input features are processed through two parallel convolutional paths: one path uses standard 3×3 convolutions to focus on extracting high-frequency local details, such as the fruit’s surface ...

The input variables of the firms were structured in three different categories: environmental, human capital and structural supply chain variables. Sustainability_Score of the firms was used as a ...