From Text To Tables: Why Structured Data Is AI’s Next $600B Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
jhuapl

Johns Hopkins APL-Led Team Releases Predictive Space Weather Model to Public

A predictive space weather model designed to simulate how solar storms affect Earth has been publicly released for researchers in the broader scientific community — as well as the general public — to ...
Scientific Research Publishing

Johnson, A. and Lee, M. (2022) Predictive Modeling for Cardiovascular Risk Assessment Using Logistic Regression and Deep Learning. Journal of Biomedical Informatics, 130 ...

ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...
C&EN

Overcoming Small Data Limitations in Materials Informatics: Interpretable Predictive Modeling of Optical Limiting Efficiency Using the CORRELATO Algorithm

Russian Academy of Sciences, FSBIS Institute of Physiologically Active Compounds of the Russian Academy of Sciences, 1, Severny Proezd, Chernogolovka 142432, Russian Federation Russian Academy of ...
Firehouse

How GIS, Advanced Communications & Predictive Modeling Are Transforming Fire Department Disaster Response

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...
Frontiers

Predictive modeling of acute radiation-induced dermatitis in nasopharyngeal carcinoma patients undergoing tomotherapy using machine learning with multimodal data integration

Purpose: Radiation dermatitis (RD) is a common and debilitating side effect of radiotherapy in nasopharyngeal carcinoma (NPC) patients. Traditional predictive models lack sufficient accuracy for ...
IEEE

Aperiodic Data-Driven Model Predictive Control With Feasibility and Stability Guarantees

Abstract: This paper proposes an event-triggered data-driven model predictive control method with terminal ingredients for unknown linear time-invariant (LTI) systems under the input constraints.
IEEE

Model-Free Predictive Current Control for PMSM Drives Using an Improved Dynamic Linearization Data Model

Abstract: Model predictive control has attracted much attention in electric drives, but its parameter sensitivity on explicit models poses inherent challenges to the further application. This paper ...
Live Science

New AI system can 'predict human behavior in any situation' with unprecedented degree of accuracy, scientists say

A new artificial intelligence (AI) model called Centaur can predict and simulate human thought and behavior better than any past models, opening the door for cutting-edge research applications. When ...
Scientific Research Publishing

Sunny, M., et al. (2024) Optimizing Healthcare Outcomes through Data-Driven Predictive Modeling. Journal of Intelligent Learning Systems and Applications, 16, 384-402.

ABSTRACT: Rising outpatient healthcare costs, particularly due to brand-name and non-optimized drug prescriptions, have created an urgent need for intelligent, cost-saving interventions. Traditional ...
C&EN

Predictive Modeling of Yield Sooting Index Using Machine Learning with Uncertainty Estimation

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study explores the development of two predictive models for the yield sooting ...