Sixuan Li’s Research on Causally Grounded AI Agents Advances Reliable Decision Support for Dynamic Logistics Systems

A study on high-concurrency payment systems proposes a distributed architecture with layered consistency control to ...
News-Medical.Net

Simple physical function tests may identify adults at mobility risk

Research reveals a predictive model for early mobility limitations, emphasizing the impact of the Mediterranean diet and ...
The Verge

The gen AI Kool-Aid tastes like eugenics

is a reporter focusing on film, TV, and pop culture. Before The Verge, he wrote about comic books, labor, race, and more at io9 and Gizmodo for almost five years. Like many people, director Valerie ...
American College of Cardiology

Machine Learning Outperforms Traditional Methods to Predict Adverse Events in LAAO Patients

EXtreme Gradient Boosting (XGBoost), a machine learning model, outperformed more traditional methods for predicting composite major adverse events (MAEs) and many individual events in patients ...
Journal of Medical Internet Research

Combining Machine Learning Models and Screening to Enhance Suicide Risk Identification for American Indian Patients: Retrospective Cohort Study

Combining Machine Learning Models a ...
Scientific Research Publishing

Zaidi, A. and Al Luhayb, A.S.M. (2023) Two Statistical Approaches to Justify the Use of the Logistic Function in Binary Logistic Regression. Mathematical Problems in ...

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...
Scientific Research Publishing

Kumar, N.A., Jangale, L., Sathe, V., Shelke, A. and Redij, T. (2024) Study of Supervised Logistic Regression Algorithm. Alochana Journal, 13, 227-230.

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...
IEEE

Predictive Analysis of Network-Based Attacks by Hybrid Machine Learning Algorithms Utilizing Bayesian Optimization, Logistic Regression, and Random Forest Algorithm

Abstract: These days, intrusion detection systems are one of the newest trends in society. These technologies serve as a defense against a variety of security breaches, the number of which has been ...