By applying machine learning algorithms, predictive business process monitoring (PBPM) techniques provide an … seldomly investigated the predictive performance of machine learning approaches and their applicability at early process steps …

for predictive maintenance. The proposed method utilizes a machine learning project cycle and Python libraries to … utilizing machine learning models in predictive maintenance is highly beneficial; however, the binary outcomes of these models …

failure in Brazil by employing advanced machine learning techniques. We collected data from 235 companies and conducted …

neural networks (ANNs), and decision tree as machine learning techniques for predicting credit risk. It meticulously examines … demonstrate the superiority of machine learning techniques, such as ANNs and decision trees, in terms of predictive accuracy and … implications of this study extend to risk management strategies, where the integration of advanced machine learning techniques can …

to apply machine learning concepts to predict the success of startups. … need to be more robust to reduce the risk and manage the uncertainty of startups. This research aims to use machine … learning methods to design a prediction solution to identify successful startups for investors. In order to design the …