Imagine diagnosing cancer not with a supercomputer but on an ordinary laptop instead. Sounds like science fiction? Thanks to ...

An international research team, led by Jian-Feng Mao, has developed PlantLncBoost, a new computational tool that helps to ...

In the Applied AI for Software Development course launched by Hamilton Murrah (MBAi ’25), fourth-year and master’s degree ...

I learned so much from a 90-minute video series that taught me how to use generative AI for work and everyday life.

China Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Computer Interfaces (BCIs), Deep Brain Stimulation (DBS), Neuroadaptive Algorithms de Lima Dias, R. (2025) The Hybrid Mind in ...

Computer vision systems combined with machine learning ... using ImageJ software to extract the average values of the red (R), green (G), and blue (B) bands. These RGB values were then converted into ...

Machine learning (ML) techniques and especially deep learning (DL ... in big data and the theoretical constraint of physical laws, physics-embedded ML methods for EM imaging have become the focus of a ...

School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia ARC Industrial Transformation Training Centre—Joint Biomechanics, Queensland ...

Henceforth, malware detection is an important factor in the security of computer systems ... detection techniques that uses typical signature based methods [3]. That is why the need for Machine ...