Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Introduction: This study aims to explore the mediating role of burnout in the relationship between job satisfaction and safety behavior among air traffic controllers (ATCs), and to identify the most ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...

Abstract: This paper proposes a production decision analysis model based on decision tree and Bayesian optimisation, aiming to optimise the decision-making in the production process of enterprises.

Step 2: Create your decision tree Once you know the features and steps you want to follow to price or modify bids for a campaign, write them as a decision tree in our Bonsai Language. Use the examples ...

Abstract: In the practical application of machine learning, the opaqueness of models often poses significant challenges. While decision trees are known for balancing representability with ...

Decision trees are a powerful tool for decision-making and predictive analysis. They help organizations process large amounts of data and break down complex problems into clear, logical steps. Used in ...

1 Department of Nursing, Harbin Medical University, Harbin, China 2 Department of Nursing, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, China Objective: This ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of decision tree regression using the C# language. Unlike most implementations, this one does not use recursion ...