This project is concerns the development of a real-time computational, probabilistic algorithm or artificial intelligence to predict when a scheduled job in a mobile workers job queue is at risk, given the type of jobs in the queue and the historical durations to complete them. In addition, consideration must be given to traffic patterns, and […]
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