IEEE

Optimizing Marketing Campaigns Using Predictive Analytics

Abstract: Effective marketing campaigns increasingly rely on data-driven decision-making. This paper examines how predictive analytics, specifically logistic regression, can optimize direct marketing ...

How a machine learning engineer built a churn prediction model that transformed a subscription platform’s retention strategy

A subscription technology platform with over 100,000 users was losing customers each month despite having access to ...
IEEE

High-Accuracy Predictive Channel Modeling for 6G Wireless Communications With an Improved Diffusion-Driven Learning Framework

Abstract: To address sparse channel measurement data and inadequate predictive capabilities in conventional channel models, predictive channel modeling employs joint generative and predictive ...
Nature

Reduced-order modeling of nonlinear multiscale industrial systems via sparse regression in latent representations

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...