Keeping long-term climate simulations stable and accurate with a new AI approach

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Range-resident logistic model connects animal movement and population dynamics

Despite decades of independent progress in population ecology and movement ecology, researchers have lacked a theoretical bridge between these two disciplines. "Ecologists have been trying to ...
News Medical

Early warning for diabetes: AI model identifies prediabetes risk with high accuracy

In a recent study published in the journal Scientific Reports, researchers developed a pattern neural network (PNN) model that combined a novel measure of total antioxidant status with traditional ...
IEEE

A Hybrid CNN-Logistic Regression Model for Accurate Classification of Casting Defects

Abstract: The abstract is an imperfect defect detection model meant to classify various defects of castings. It presents an excellent precision, recall, and $\mathbf{F 1}$-score of six classes of ...
Live Science

Scientists just developed a new AI modeled on the human brain — it's outperforming LLMs like ChatGPT at reasoning tasks

The hierarchical reasoning model (HRM) system is modeled on the way the human brain processes complex information, and it outperformed leading LLMs in a notoriously hard-to-beat benchmark. When you ...
Scientific Research Publishing

Rahimloo, P. and Jafarian, A. (2016) Prediction of Diabetes by Using Artificial Neural Network, Logistic Regression Statistical Model and Combination of Them.

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
Scientific Research Publishing

Shipe, M.E., Deppen, S.A., Farjah, F. and Grogan, E.L. (2019) Developing Prediction Models for Clinical Use Using Logistic Regression: An Overview. Journal of Thoracic Disease ...

ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...
EurekAlert!

New few-shot learning model enhances crop disease recognition accuracy

Plant disease recognition technologies have advanced rapidly thanks to deep learning and large annotated datasets, but agricultural applications face unique hurdles. Data collection in the field is ...
IEEE

Gender Classification from Facial Features Using Logistic Regression and K-Nearest Neighbors

Abstract: This paper presents a gender classification model based on face features using logistic regression and K-Nearest Neighbors (KNN) classifier. The dataset contained long hair, forehead breadth ...