Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Abstract: The accurate identification of line-of-sight (LOS) and non-line-of-sight (NLOS) conditions is a critical challenge in wireless communication, particularly in the vehicle-to-vehicle (V2V) ...

Abstract: We propose a novel method for the efficient and accurate iterative solution of frequency domain integral equations (IEs) used for large/multi-scale electromagnetic scattering problems. The ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Numerous challenges, including the variable anatomy of SC, ...