The results were published in Neural Networks. Like a river current, directional connections in neuronal networks propagate signals in a downstream flow from one area to another. A microfluid device ...

Deep learning in synthetic aperture radar (SAR) sea state retrieval is becoming increasingly prevalent. In current studies, convolutional neural networks (CNNs) are widely employed to extract either ...

Imagine a world without disease. Sounds utopian? AI just made it a multibillion-dollar bet to discover drugs – and forget Big ...

Effective detection and classification of forest fire imagery are critical for timely and efficient wildfire management. Convolutional Neural Networks (CNNs) have demonstrated potential in this domain ...

To effectively monitor and control the fermentation process, an accurate real-time measurement of important variables is necessary. However, given the complexity of microbial fermentation and the ...

PlotNeuralNet Latex code for drawing neural networks for reports and presentation. Have a look into examples to see how they are made. Additionally, lets consolidate any improvements that you make and ...

How E-Reading Apps Use Neural Networks to Adapt Text to the Reader’s Level Neural networks allow for increased e-reading accessibility for education and entertainment products across countless ...

What makes this development especially revolutionary in battery research is the integration of physics-informed principles into neural networks. Traditional neural networks are data-driven models that ...