Research highlights trend in automotive industry towards software-defined vehicles where functionality, user experience and ...

Current approaches in bioengineering are synthesized and methods for their implementation are suggested for the induction and modulation of trained immunity in the treatment of human diseases.

Development of an Automated High-Throughput Screening Platform for the Dynamic Phase Separation Analysis of Microemulsion Systems with AI Image Recognition ...

The development of transient dissipative nucleic-acid–based reaction circuits and constitutional dynamic networks attracts growing interest as a means of emulating native dynamic reaction circuits.

This operator is typically unknown, or the data are too noisy to derive its faithful representation. Here, we propose a data-driven approach to analyze the local predictability of dynamical systems.

Hi, Thanks for your great work with MAISI. The mask_generation_autoencoder has 8 input channels. What is the kind of data that is required as input? Would you have an example on how to use the mask ...

This article presents a novel data-driven approach to nonlinear system control using a behavioral systems framework. A dynamic latent variable autoencoder (DLVAE) is proposed to project the nonlinear ...

Identifying the state space representation of a dynamical system during usage enables a controller to adapt quickly in a changing environment. We propose a new method for identifying linear ...

Generic Deep Autoencoder for Time-Series This toolbox enables the simple implementation of different deep autoencoder. The primary focus is on multi-channel time-series analysis. Each autoencoder ...