How Hyper-personalization in Retail Works: Architecture and Implementation

Learn how hyper-personalization in retail works, why IT leaders must build real-time, data-driven systems, and how to implement scalable architectures with measurable outcomes.
IEEE

Learning Safe Data-Driven Control Barrier Functions for Unknown Continuous Systems

Abstract: This letter presents a semi-parametric approach for learning safe data-driven control barrier functions (SDD-CBFs) for unknown continuous systems from noisy data. By leveraging optimization ...
IEEE

Integrating Travel Survey and Amap API Data Into Travel Mode Choice Analysis With Interpretable Machine Learning Models: A Case Study in China

Abstract: Travel survey data has long been one of the fundamental sources for travel mode choice behavior analysis. It can provide a wealth of travel-related information and detailed household ...
GitHub

SWOT SSH Mapping Data Challenge 2024

This repository contains codes and sample notebooks for downloading and processing the 2024 SWOT SSH mapping data challenge. Note that this data challenge is a somewhat extended version of the data ...