Electrek

Maximizing fleet efficiency and ROI with telematics integration [update]

How partnerships between OEMs and telematics providers like Geotab enhance EV fleet efficiency, streamline reporting, and ...

Chande Momentum Oscillator Explained: Formula, Calculation, and Uses

Discover the Chande Momentum Oscillator—learn its formula, calculate it, and interpret signals to identify market trends and ...
GitHub

GraphCSVAE: Graph Categorical Structured Variational Autoencoder for Spatiotemporal Auditing of Physical Vulnerability Towards Sustainable Post-Disaster Risk Reduction

A Local-Scale Dataset of Annual Spatiotemporal Maps of Physical Vulnerability in the Cyclone-Impacted Coastal Khurushkul Community (Bangladesh) and Mudslide-Affected Freetown (Sierra Leone) (2016–2023 ...
C&EN

Mathematical Modeling of Aβ-42 Dimerization Dynamics: Integrating Physics-Based Simulations, Graph-Based Variational Autoencoder-Driven Neural Relational Inference, and Chaos ...

Computational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahçeşehir University, Istanbul 34349, Turkey Lab for Innovative Drugs (Lab4IND), ...
IEEE

Graph-based Multiscale Stacked Autoencoder for Biopharmaceutical Processes Soft Sensor

Abstract: Accurate monitoring of key process variables is essential for biopharmaceutical manufacturing, but the direct measurements are often costly and involve substantial time delays. Data-driven ...
Frontiers

Multi-atlas ensemble graph neural network model for major depressive disorder detection using functional MRI data

Major depressive disorder (MDD) is one of the most common mental disorders, with significant impacts on many daily activities and quality of life. It stands as one of the most common mental disorders ...
BGR

Google AI Mode Brings Gorgeous Interactive Graphs To Search

I wasn't a big fan of Google's AI Overviews when they debuted atop Google Search. I still don't like the feature, even though it's more reliable than it was early on and, supposedly, quite popular ...
IEEE

Adversarial Regularized Graph Autoencoder for Intelligent Anomaly Detection With Multisensor Signal Fusion

Abstract: Gears play an indispensable role in the transmission systems of advanced industrial equipment. Timely detection of anomalies in gear components is crucial for ensuring operational efficiency ...
Search Engine Land

When and how to use knowledge graphs and entities for SEO

If you’re like me, you’ve heard plenty of talk about entity SEO and knowledge graphs over the past year. But when it comes to implementation, it’s not always clear which components are worth the ...
dbta

Recognizing the Power of Graph Databases and Knowledge Graphs

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...
GitHub

AEGAE: Attribute-Embedded Graph Autoencoder

This repository provides the implementation of the AEGAE method for community detection in attributed graphs. AEGAE integrates Laplacian regularization and a graph autoencoder to generate robust node ...