… of the tissue by calculating tissue deformation from Radio Frequency (RF) ultrasound data
[13]… Therefore, we have employed NCC as our similarity metric. NCC is, in fact, the dot product …

… a key research area in the budding field of radio frequency machine learning (RFML), where
… This work offers a dataset similarity metric, specifically designed for raw RF datasets, based …

… development of radio technology, the demand for spectrum resources by various types of
frequency-using devices has been increasing, while the use of radio frequencies is currently …

… Similarity metrics: Different similarity metrics can be adopted in two-step algorithms for
coarse and fine localization steps, respectively, leading to sim i , n C ≠ sim i , n F , and thus, …

… 802.11 frame through passive radio-frequency analysis. This … is identified based on the
similarity values. For example, the … a useful metric in some cases, in a radiometric identification …

… more time on frequencies with little similarity with other nodes. … and determine the similarity
of the radio signal received at … the cumulative correlation (CC) metric as the average of the …

… similarity measures by probabilistically inspired estimates utilizing characteristics of the radio
frequency … The similarities therefore may be used to infer the metric position of the mobile …

… more time on frequencies with little similarity with other nodes. … and determine the similarity
of the radio signal received at … cumulative correlation (CC) metric as the average of the last …

… toward a variety of gap dimensions, frequency domains, and gas pressures regimes. The
results in this work only demonstrated the similarity scaling for atomic gases while for the …

… We demonstrate similarity-based scaling networks for capacitive radio frequency (RF) …
, incorporating the transition from original to similarity states. Based on fully kinetic particle-in-cell …