Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

Topological Data Analysis (TDA) and Topological Machine Learning (TML) comprise a set of powerful techniques whose ability to extract robust geometric information has led to novel insights in the ...

The course introduces a variety of central algorithms and methods essential for studies of statistical data analysis and machine learning. The course is project-based and through the various projects, ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

The course provide an introduction to the theory behind key machine learning algorithms used in image analysis. Furthermore, selected methods and tools for deep learning are described.

Abstract: This paper provides an extensive discussion of the machine learning algorithms applied to the sentiment analysis on the social media, involving the use of the Naive Bayes, Support Vector ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

Most working professionals already understand that AI skills are no longer optional they are a career necessity.

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

Abstract: Intrusion detection is one of the important security problems in todays cyber world. A significant number of techniques have been developed which are based on machine learning approaches.

Genetic testing is becoming an increasingly important component of reproductive health care. It has evolved, over the years, ...