Are climate models detecting monsoon changes a decade too early? 'Super-simulations' say yes

Changes in rainfall within global monsoon regions affect the livelihoods of billions. For years, climate models have ...

Predicting extreme rainfall through novel spatial modeling

Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the ...

Understanding Homoskedasticity in Regression Modeling With Examples

Discover the importance of homoskedasticity in regression models, where error variance is constant, and explore examples that illustrate this key concept.
Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
GitHub

uqlm: Uncertainty Quantification for Language Models

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
GitHub

A real-time demonstration of learning Adaptable World Models with Latent Actions using the Agno framework.

The development of this repository was inspired by the paper "AdaWorld: Learning Adaptable World Models with Latent Actions". To read the entire paper, visit https ...
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 ...
IEEE

The Impact of Feature Scaling in Machine Learning: Effects on Regression and Classification Tasks

Abstract: This study addresses the lack of comprehensive evaluations of feature scaling by systematically assessing 12 techniques, including less common methods such as VAST and Pareto, in 14 machine ...
Autoblog

Mercedes-Benz Teases New ‘Extreme’ AMG CLE Mythos

The new vehicle, which is based on a CLE coupe, will be the second model from Mercedes’ ultra-limited Mythos sub-brand. Mercedes’ Mythos Series targets elite collectors with ultra-luxurious, exclusive ...
IEEE

Deep Learning-Based Real-Time Model Predictive Motion Control for Distributed Drive Electric Vehicles Under Extreme Conditions

Abstract: The motion control of distributed drive electric vehicles (DDEVs) under extreme operating conditions is significantly affected by the strong nonlinearities in vehicle dynamics. A novel ...