Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Abstract: We propose an improved imperialist competitive algorithm (I-ICA)-based extraction method for small-signal model of GaN HEMT on Si. The proposed algorithm introduces differential evolution ...

Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital ...

Every morning, millions of delivery partners across India and beyond log in to their apps, hoping for a good earnings day. Yet, the number they see at the end of their shift is rarely a product of ...

Abstract: Three-dimensional ionospheric tomography is an essential method for understanding spatial variations in electron density and for providing physical interpretations of anomaly evolution.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The synthesis of gold nanoclusters (AuNC) is strongly influenced by various reaction ...

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing ...

The AI Prompt Optimization Platform is a professional tool designed to help users optimize prompts for AI models, enhancing AI conversation effectiveness and response accuracy. The platform integrates ...

As the basic and important service facilities of the national economy, the smooth and safe operation of expressways is of considerable practical significance to promote the stable development of the ...