Industry observers point out that daytime TV is a key training ground for staff such as producers and camera operators – who ...

The goal of a machine learning regression problem is to predict ... intermediate or better programming skill but doesn't assume you know anything about linear regression with two-way interactions. The ...

according to scheduling. All other newscasts and programming, including "Price Is Right," are scheduled to air normally.

Integer linear programming ... problem is one of the oldest known computational questions. It asks for the ideal route through a certain list of cities, minimizing mileage. Despite seeming simple, the ...

Abstract: This article deals with one of the types of “Satellite Range Scheduling ... the problem consists of designing an operational plan that assigns satellites to antennas in an optimal fashion.

Shiladitya Chakravorty, senior data scientist at GlobalFoundries, explained in work presented at last year’s ASMC conference that fab scheduling is a highly complex version of the so-called “job shop ...

It is significant to develop efficient computational frameworks to solve this problem. In this article, an intelligent EOSs scheduling framework is developed using imitation learning based on mixed ...