This study proposes an approach based on machine learning to identify the work status of each forklift. We use the DBSCAN and k-means algorithms.

2020/09/29 · We use the DBSCAN and k-means algorithms to identify the area in which a particular forklift is operating and the type of work it is performing.

This study proposes an approach based on machine learning to identify the work status of each forklift. We use the DBSCAN and k-means algorithms to identify the ...

Machine learning approach to analyze the status of forklift vehicles with irregular movement in a shipyard · Hyeonju Lee, Jongho Lee, +2 authors. Sungchul Choi ...

Article "Machine learning approach to analyze the status of forklift vehicles with irregular movement in a shipyard" Detailed information of the J-GLOBAL is ...

Machine-Learning Approach to Analyze the Status of Forklift Vehicles with Irregular Movement in a Shipyard ... We use the DBSCAN and k-means algorithms to ...

We use the DBSCAN and k-means algorithms to identify the area in which a particular forklift is operating and the type of work it is performing. We developed a ...

Owing to the irregular movements of forklift vehicles used at a shipyard's worksite, machine learning techniques were pro-posed to identify them accurately.

We use the DBSCAN and k-means algorithms to identify the area in which a particular forklift is operating and the type of work it is performing. BIG-bench ...

Machine learning approach to analyze the status of forklift vehicles with irregular movement in a shipyard. Authors. Hyeonju Lee · Jongho Lee · Minji An · Gunil ...