The way the architecture of one researcher is influencing the future of reproducible auditable AI in financial systems.

Abstract: Radio echo sounding (RES), a powerful remote geophysical technique, provides excellent insight into the characterization of subglacial environment. However, existing time-domain RES imaging ...

Abstract: With the growing volume of unstructured information worldwide, it has become essential to develop efficient methods for data analysis and systematization. This paper presents an algorithm ...

Abstract: Accurate and continuous extraction of ice layer structures from airborne ice sounding radar data is critical for analyzing subglacial hydrothermal environments to support key applications ...

Abstract: With the continuous development of personalized recommendation technology, user portraits have become a key component for precise delivery in advertising systems. However, the problem of ...

Abstract: In this Innovative Practice full paper, we introduce Gurukul, an innovative coding platform designed to support teaching Data Structures and Algorithm (DSA) course by integrating advanced ...

Abstract: Identifying anomalies in Phasor Measurement Unit (PMU) data is of critical importance. Existing methods can be broadly categorized into model-based and data-driven ones. The former requires ...

Creating a highly accurate geological model at a large scale presents a considerable challenge, primarily due to constraints imposed by sparse data availability. A promising strategy to mitigate these ...

Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data ...

Abstract: Identifying high-value customers and providing quality services are essential for the transformation and advancement of power grid enterprises. This paper highlights the strategies necessary ...