Raman spectroscopy is increasingly being used in biology, forensics, diagnostics,
pharmaceutics and food science applications. This growth is triggered not only by …

Racism. Sexism. Heterosexism. Gender binarism. Together, they comprise intimately
harmful, distinct, and entangled societal systems of self-serving domination and privilege …

Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other
technology-based data collection methods have led to a torrent of high dimensional …

The remarkable progress in deep learning in recent years is largely driven by improvements
in scale, where bigger models are trained on larger datasets for longer schedules. To predict …

As data becomes the fuel driving technological and economic growth, a fundamental
challenge is how to quantify the value of data in algorithmic predictions and decisions. For …

In this survey paper, we systematically summarize existing literature on bearing fault
diagnostics with deep learning (DL) algorithms. While conventional machine learning (ML) …

Artificial intelligence has the potential to revolutionize modern society in all its aspects.
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …

Network traffic classification has become more important with the rapid growth of Internet
and online applications. Numerous studies have been done on this topic which have led to …

Houses with better street design are found to relate to a price premium. Prior studies mainly
present the street quality using objective indicators like tree counts and distance to parks …

Raman spectroscopy can be used to measure the chemical composition of a sample, which
can in turn be used to extract biological information. Many materials have characteristic …