The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Formula 1 sells itself as a calendar, but it actually runs on a graph. Not the pretty Gantt chart you see at the season ...

RT-MALS can provide instantaneous measurements of adenovirus particle size and titer during downstream and fill–finish ...

Edit Insta360 footage natively in VSDC 11.1! Convert 360° video to 2D, overlay GPS telemetry and enjoy a much smoother ...

Integrating proteomics with systems biology reveals complex cellular networks, improving disease mechanisms understanding and precision medicine applications.

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

Every year, the Earth shakes thousands of times. Most of those tremors go unnoticed, felt only by sensitive instruments ...

AVILOO finally makes the switch to e-mobility easy, because we offer a clear answer to the most important question: How good ...

Abstract: Signal flow graphs (SFGs) of linear networks are commonly used for design and measurement formulation. This paper discusses the SFG representation of weakly nonlinear networks based on the ...