RaillyNews

AI in Crash Tests and Factory Design

Explore how AI transforms crash tests and factory design, enhancing safety, efficiency, and innovation in automotive manufacturing.
Semiconductor Engineering

Securing The Software-Defined Vehicle Starts With Re-Architecting Trust

This is what the software-defined vehicle looks like in practice. Fewer chips, more consolidation, and far more dependence on ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Healio

Electronic health record-based machine learning models improve OSA prediction

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
IEEE

Crash Severity Prediction Using Two-Layer Ensemble Machine Learning Model for Proactive Emergency Management

Abstract: Many unfortunate victims in road traffic crashes do not receive ideal treatment because their injury severity is not understood at an early stage. Swift crash severity prediction enables ...
IEEE

A New Framework of Vehicle Collision Prediction by Combining SVM and HMM

Abstract: This paper presents a framework of accident prediction with a new perspective. First, the new framework of Chain of Road Traffic Incident (CRTI) is proposed, in which the observed vehicle ...
Scientific Research Publishing

Multi-Head Attention Spatial-Temporal Graph Neural Networks for Traffic Forecasting ()

Accurate traffic prediction is crucial for an intelligent traffic system (ITS). However, the excessive non-linearity and complexity of the spatial-temporal correlation in traffic flow severely limit ...
Frontiers

Remaining useful life prediction of lithium-ion batteries based on wavelet denoising and transformer neural network

It is imperative to accurately predict the remaining useful life (RUL) of lithium-ion batteries to ensure the reliability and safety of related industries and facilities. In view of the noise sequence ...
Frontiers

Multi-Dimensional Enhanced Seizure Prediction Framework Based on Graph Convolutional Network

In terms of seizure prediction, how to fully mine relational data information among multiple channels of epileptic EEG? This is a scientific research subject worthy of further exploration. Recently, ...