Earth.com

3D laser scans reveal the true carbon storage of tropical forests

New 3D scans of tropical rainforests give scientists better data on forest biomass, boosting carbon tracking and satellite ...
The American Journal of Managed Care

Machine Learning May Enable Earlier Detection of CKD Risk Factors

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
Frontiers

Tree Genome Evolution and Adaptability in the Face of Environmental Challenges

Tree genome evolution is a fascinating area in the study of biodiversity and ecosystem stability. Trees, with their distinctive life history traits, such as ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Healio

‘Just the beginning’: AI tool identifies twice as many ALL relapses as clinicians

A publicly available AI tool correctly predicted approximately twice as many children with acute lymphoblastic leukemia who ...

Machine learning model predicts serious transplant complications months before symptoms appear

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
Scientific Research Publishing

Accuracy and Response Speed of Eye Center Annotation Using Eye Movement Models: Validating the Effectiveness of Eyesight Detection ()

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
IEEE

Enhanced Banyan Tree Algorithm with Wavelet Neural Network for Vertical Handover in Heterogeneous Networks

Abstract: In heterogeneous networks, Vertical Handover (VH) is a vital factor affecting user mobility and performance metrics such as delay, throughput, and call block probability. Current VH ...
Rochester Institute of Technology

Researchers develop new method for predicting chaos

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.
GitHub

Project Title: Feature Engineering and Imbalanced Data in Money Laundering Detection: A Comparative Study of ML Algorithms

This project primarily used the small dataset with a high illicit ratio, which contains 5,078,345 financial transactions spanning 10 days.It effectively addresses challenges such as overlap and ...
GitHub

Purifying Interaction Effects with the Functional ANOVA

Additive models with interactions (like GA²Ms) have an identifiability problem: effects can be freely shifted between main effects and interactions without changing model predictions. This allows ...
IEEE

Analysis of Average Running Times and Complexity in Root-Finding Algorithms for Polynomial Factorization

Abstract: This paper investigates the average running times and complexities of various root-finding algorithms, including the Affine Method (ARM), Sparse Root Algorithm (SRA), and Branching Tree ...