Abstract: In the process of data exchange, we assert that the needs of data users should be prioritized and clearly articulated for a trustworthy data marketplace. Here, we present a case study on ...
Abstract: This article presents a data-driven modeling methodology applied to a battery-based power system comprising a power converter and an electric machine. The proposed method captures the ...
Abstract: This paper introduces the MagNetX 1 - an extension of the MagNet database to investigate transient hysteresis of magnetic materials. By employing automated data acquisition and measurement ...
Abstract: Big data applications such as Artificial Intelligence (AI) and Internet of Things (IoT) have in recent years been leading to many technological breakthroughs in system modeling. However, ...
Abstract: In an era marked by the swift progress of technology, Cyber-Physical Systems (CPS) conquer one of the top places, standing out through the ability to integrate physical components and ...
Abstract: Inspired by soft-bodied animals, soft continuum robots provide inherently safe and adaptive solutions in robotics, especially suited for applications requiring gentle interactions. However, ...
For students enrolled Spring 2026 and beyond. The Big Data and Applied AI option reflects the growing role of artificial intelligence in business decision-making. It provides students with rigorous ...
Abstract: In the framework of international development on fusion devices, the tokamak JT-60SA was equipped with superconducting magnets within a Europe-Japan collaboration. After a first integrated ...
Abstract: The capturing subsurface structure through geophysical measurements can gain a more comprehensive understanding of groundwater distribution. While geophysical electromagnetic methods yield ...
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