Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Mohamed El-Erian: Non-linear labor market risks remain primary economic concern

Erian, Allianz Chief Economic Advisor, warned that the labor market poses the biggest risk to the U.S. economy, despite sticky inflation.
Fox Business on MSN

Market expert El-Erian warns of ‘nonlinear’ labor market collapse if firings surge

Allianz chief economic advisor Mohamed El-Erian warns inflation remains ‘sticky,’ markets face a debt and deficit tug-of-war ...
The Lancet

Michele Heisler: a non-linear progressive

I have a very strong intuition preference”, says Michele Heisler, “which may drive you crazy, because I tend to be non-linear ...
Scientific Research Publishing

Machine Learning for Financial Risk Management: Modeling Time-Varying Factor Sensitivities Using Factor Variational Autoencoders ()

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.
Hackaday

Analog Optical Computer For Inference And Combinatorial Optimization

Although computers are overwhelmingly digital today, there’s a good point to be made that analog computers are the more ...
Devdiscourse

AI outperforms traditional models in bankruptcy forecasting

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...
IEEE

Nonlinear Flux Observer for Sensorless Control of IPMSM Based on a Novel Regression Model

Abstract: The nonlinear flux observer is an effective position sensorless method that has been proven in practice. For the interior permanent magnet synchronous motor (IPMSM), this article establishes ...
IEEE

Sparse Non-Linear Vector Autoregressive Networks for Multivariate Time Series Anomaly Detection

Abstract: Anomaly detection in multivariate time series (MTS) is crucial in domains such as industrial monitoring, cybersecurity, healthcare, and autonomous driving. Deep learning approaches have ...
GitHub

const-ae/linear_perturbation_prediction-Paper

Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear baselines. Constantin Ahlmann-Eltze, Wolfgang Huber, Simon Anders ...
GitHub

DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction

The tracking speed (including detection and tracking speed) is test on an RTX 3090 GPU. Smaller detectors can achieve higher FPS, which indicates that DiffMOT can flexibly choose different detectors ...