Hyperscanning approaches mark a shift from single‐ to two‐person neuroscience, enabling a more profound understanding of the neural mechanisms underlying interpersonal synchronization. In this context, functional near‐infrared spectroscopy (fNIRS) has emerged as a valuable tool for measuring brain activity…
Dams play a vital role in securing water and electricity supplies for households and industry, and they contribute significantly to flood protection. Regular monitoring of dam deformations holds fundamental socio-economic and ecological importance. Traditionally, this has relied on time-consuming in…
Abstract In fine-grained classification, which is classifying images into subcategories within a common broader category, it is crucial to have precise visual explanations of the classification model’s decision. While commonly used attention- or gradient-based methods deliver either too coarse or too…
Dordrecht: Springer Science + Business Media B.V, 2025-05-22
Deformation monitoring is a critical task for dam operators to guarantee safe operation. Given an increasing number of extreme weather events caused by climate change, the precise prediction of dam deformations has become increasingly important. Traditionally, multiple linear regression models have been…
Abstract Highly sensitive laser strainmeters at Moxa Geodynamic Observatory (MGO) measure motions of the upper Earth's crust. Since the mountain overburden of the laser strainmeters installed in the gallery of the observatory is relatively low, the recorded time series are strongly influenced by local…
Erschienen: American Geophysical Union, 2024-10-25
Vocal emotion recognition (VER) in natural speech, often referred to as speech emotion recognition (SER), remains challenging for both humans and computers. Applied fields including clinical diagnosis and intervention, social interaction research or Human Computer Interaction (HCI) increasingly benefit…