K-means clustering is one of the most approachable unsupervised learning techniques for finding patterns in unlabeled data. With Python’s scikit-learn and pandas, you can prepare, model, and evaluate ...

Abstract: The accuracy of skeleton-based action recognition models can be significantly improved using data processing techniques, particularly in complicated environments such as retail stores where ...

Abstract: To minimize its idle time automated guided vehicle (AGV) is an important task of predicting its battery discharge. This is important for increasing the efficiency of resource use and ...