Abstract: Assigning sensing tasks to appropriate task participants is critical for mobile crowdsensing (MCS) and is an essential optimization problem. However, existing task assignment (or say ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Gilles Hosch is an independent fisheries expert with 20 years of industry and consulting experience, focusing his career on IUU fishing and Monitoring, Control and Surveillance (MCS) from early on, ...

With the new school year on the horizon, Modesto City Schools is working to hire a new superintendent. This comes as superintendent Sara Noguchi — who started working for the district in 2018 — ...

#1. We will now try to predict per capita crime rate in the Boston data set. #(a)Try out some of the regression methods explored in this chapter, such as best subset selection, the lasso, ridge ...

Abstract: Opportunistic network-based mobile crowdsourcing (MCS) outsources location-based human tasks to a crowd of workers, where workers with mobile devices opportunistically have contact with the ...

There’s no question that electric construction equipment is safer, more precise, and generally better than the diesel equipment it’s replacing, but getting power to that equipment remains a logistical ...

7.2 III.1 You don't need to "put together" the dice from the kit, but the description of the challenge on page 5 of the kit booklet is a little better than the statement of the problem in the book.