HIGHLIGHTS
- who: Sustainability and collaborators from the School of Science and Technology Acceleration Engineering, Kyungpook National University, Daegu, Republic of Korea have published the research: Performance Improvement of Machine Learning Model Using Autoencoder to Predict Demolition Waste Generation Rate, in the Journal: Sustainability 2023, 15, x. of /2023/
- what: The hybrid model using ANN and AE proposed in this study showed useful results to improve the performance of the DWGR ML model. The following procedures were performed to fulfill this research objective: Two distinct data-preprocessing methods were applied to construct the dataset. This study implemented . . .
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