Background: The lack of objective methodologies and open datasets for the evaluation of the algorithms complicates the objective evaluation by specialists and hinders the widespread use of this technology in health care. The purpose of this study was to estimate the accuracy of the Skinive’s...

In this paper, we introduce and study the joint inventory and online resource allocation problem, which is characterized by two sequential sets of decisions that are irrevocably linked. First, a decision maker must select starting inventory levels for a set of available resources. Subsequently,...

The mixed refrigerant (MR) process is the preferred choice for most LNG plants. However, due to the complexity of refrigerant components and parameters, and their interaction, the MR process must be optimized to take full advantage of its efficiency. The optimization of processes has received...

As local, state, and federal governments increase their reliance on artificial intelligence (AI) decision-making tools designed and operated by private contractors, so too do public concerns increase over the accountability and transparency of such AI tools. But current calls to respond to these...

In this paper, we study how consumers respond to repeated marketing campaigns driven by algorithms and how the responses vary across different algorithms. To investigate it, we collaborate with a U.S. food delivery company and conduct a field experiment where targeted coupons are sent by...

This study entitled, “Performance Evaluation of Scheduling Algorithm as Implemented in an Airline Booking System” was conducted in the IT Department, Institute of Computing Engineering and Technology, Mati, Digos City, Davao Del Sur. The main objectives of the study is to evaluate the...