Evaluating traditional versus ensemble machine learning methods for predicting missing data of daily PM10 concentration
The aim of this study was to predict the missing data of PM 10 for the city of Zabol using
various traditional learning methods, Lazy Learning, and Ensemble Learning. In this study …
various traditional learning methods, Lazy Learning, and Ensemble Learning. In this study …
Machine learning for air quality index (AQI) forecasting: shallow learning or deep learning?
E Kalantari, H Gholami, H Malakooti… - … Science and Pollution …, 2024 - Springer
In this study, several machine learning (ML) models consisting of shallow learning (SL)
models (eg, random forest (RF), K-nearest neighbor (KNN), weighted K-nearest neighbor …
models (eg, random forest (RF), K-nearest neighbor (KNN), weighted K-nearest neighbor …
Sustainable/Robust Supplier Selection in the Post-Pandemic Era: Using Data Envelopment Analysis
M Zahedi-Seresht, GNP Athaudage, WK Lee… - American Journal of …, 2023 - scirp.org
With the existence of COVID-19, the whole economy experienced an unprecedented
challenge. Organizations must be resilient to the ever-changing and unanticipated market to …
challenge. Organizations must be resilient to the ever-changing and unanticipated market to …
[PDF][PDF] Robust supplier selection: Systematic approach using data envelopment analysis: In the post-pandemic era
GNP Athaudage, WK Lee - 2023 - ucw.arcabc.ca
As the definition by the Council of Supply Chain Management Professionals (CSCMP),
supply chain management (SCM) involves planning and managing all activities …
supply chain management (SCM) involves planning and managing all activities …