ROCK ISLAND ARSENAL, Illinois - First Army’s Operational Data Team has developed a groundbreaking simulation capability that ...
Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...
This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...
There has been a 47% reduction in contraception-related contacts with Sexual and Reproductive Health (SRH) services in the last 10 ...
As a lifelong tobacco control and cancer control advocate, I’ve seen firsthand what truly saves lives and protects families. Gov. Kim Reynolds' recent remarks on cancer prevention in her Condition of ...
Time series classification is widely used in many fields, but it often suffers from a lack of labeled data. To address this, researchers commonly apply data augmentation techniques that generate ...
Abstract: Supervised human activity recognition (HAR) with sensor data typically demands substantial labeled datasets to train robust models. Contrastive learning offers a self-supervised alternative ...
Abstract: Enhancing the generalization performance of CNN-based deep learning models for network traffic prediction requires a substantial amount of data. However, collecting large-scale network ...
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