The single machine coupled task scheduling problem includes a set of jobs, each with two separated tasks, and there is an exact delay between the tasks. We investigate objective minimizing makespan under identical processing time for first period all time-dependent setting second task. Certain healthcare appointment problems can be modeled as problem. Also, incorporation lets human resource fat...

Time series processing and feature extraction are crucial time-intensive steps in conventional machine learning pipelines. Existing packages limited their applicability, as they cannot cope with irregularly-sampled or asynchronous data make strong assumptions about the format. Moreover, these do not focus on execution speed memory efficiency, resulting considerable overhead. We present tsflex ,...