The Deployed Data Scientist by Ankit Anand, Dr. Scott Burk and Kinshuk Dutta Showcases Practical MLOps Expertise

The Deployed Data Scientist: MLOps and Analytics in Practice, co-authored by Ankit Anand, Dr. Scott Burk, and Kinshuk Dutta, is helping data professionals address one of the industry’s most pressing ...
Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical Deployment Study ...
IEEE

A Deployment-Oriented Simulation Framework for Deep Learning-Based Lane Change Prediction

Abstract: Advanced driving simulations are increasingly used in automated driving research, yet freely available data and tools remain limited. We present a new open-source framework for synthetic ...
IEEE

Optimization of Digital Twin Deployment in IRS-Enhanced Edge Networks Based on Multi-Objective Deep Reinforcement Learning

Abstract: Digital Twins (DTs) aim to achieve real-time integration between the virtual and physical worlds, demonstrating significant application potential in emerging fields such as smart cities and ...