A function's domain and range are critical to understanding the graph of that function.;Through a review of the literature, it is apparent that many researchers have studied students' concepts of functions. However, no study has focused on how students understand the graphical representation of a...
that is, a mapping going bijectively (i.e., reversible) between 2 vector spaces of the same dimension; the 'time domain' and the 'frequency domain.' The vector space dimension we have here (in both cases) is fftSize.
Given a graph with textual attributes, we enable users to ‘chat with their graph’: that is, to ask questions about the graph using a conversational interface. In response to a user’s questions, our method provides textual replies and highlights the relevant parts of the graph. While existi...
Public sentiment towards the police is a matter of great interest in the United States, as reports on police misconduct are increasingly being published in mass and social media. Here, we test how the public’s perception of the police can be majorly sha
MC-BERT is a novel conceptualized representation learning approach for the medical domain. First, we use a different mask generation procedure to mask spans of tokens, rather than only random ones. We also introduce two kinds of masking strategies, namely whole entity masking and whole span maskin...
Machine learning has become a vital tool in our everyday life. Almost a day doesn’t go by when you don’t use any of the wide range of applications that use machine learning in one way or another. If…
More and more tourists are sharing their experiences on their social media through a combination of photos, texts, and hashtags. But there is a scarcity of studies in literature on analyzing tourists’ visual content in relation to tourism destinations.
The demodulation can be done in either the analog or digital domain after ADC conversion. A very narrow low-pass filter—for example, 0.01 Hz—is used to reject the noise above dc and we are left with only the original sensor output with extremely low noise. This relies on the sensor ...
NMAE values range between 0 and 1 where a lower value indicates less error and zero indicates a perfect reconstruction. NMAE is not invariant to positioning differences and thus we also use PSNR and SSIM which are less prone to error introduced by positioning. Higher PSNR values are ideal and...
This domain can have a range of ratings if there is uncertainty about who would be treated in usual care for a particular condition. It requires in-depth knowledge about the research area and can be one of the most common areas reducing external validity of results [6, 7]. A pragmatic tr...