EVALUATING EARLY PREDICTIVE PERFORMANCE OF MACHINE LEARNING APPROACHES FOR ENGINEERING CHANGE SCHEDULE – A CASE STUDY USING PREDICTIVE PROCESS MONITORING TECHNIQUES

By applying machine learning algorithms, predictive business process monitoring (PBPM) techniques provide an opportunity to counteract undesired outcomes of processes.An especially complex variation of business processes is the engineering change (EC) process.Here, failing to adhere to planned implementation dates can have severe impacts on assembl

With the growing security demands in the public, civil and military fields, unmanned aerial vehicle (UAV) intrusion detection has attracted increasing attention.In view of the shortcomings of the current UAV intrusion detection model using Wi-Fi data traffic in terms of detection accuracy, sample size reduction, and model interpretability, this pap