RFID can be used to obtain information about objects present in a physical space, including
their approximate location. Handheld RFID readers, smart shelves, zenithal antennas, and …

This paper presents Text2Traj2Text, a novel learning-by-synthesis framework for captioning
possible contexts behind shopper's trajectory data in retail stores. Our work will impact …

Graph coloring problem arises in numerous networking applications. We solve it in a fully
decentralized way (ı. e., with no message passing). We propose a novel algorithm that is …

This paper presents TSPDiffuser, a novel data-driven path planner for traveling salesperson
path planning problems (TSPPPs) in environments rich with obstacles. Given a set of …

We present RetailOpt, a novel opt-in, easy-to-deploy system for tracking customer
movements in indoor retail environments. The system utilizes information presently …

Integration of online and offline retail faces challenges in technology adoption, interaction
style evolution and customer behavior shifts, while also being complicated by diverse …

This paper investigates the conventional algorithms for addressing the issue of tag collision
in radio-frequency identification (RFID) systems. To improve the efficiency of RFID reader …

We present RetailOpt, a novel opt-in, easy-to-deploy system for tracking customer
movements offline in indoor retail environments. The system uses readily accessible …

Voice command-based human-computer interaction (HCI) is becoming useful and practical
day by day. Here, we present an open-source voice command-based speech interaction …

The food and beverage industry is at the forefront of conducting research and innovation in
digital marketing to maximize product sales and revenue. The industry works with …