Abstract: Ensuring clean and safe water is a critical global challenge, necessitating advanced monitoring techniques for early detection of contamination. This research presents an loT-driven water ...

Abstract: Inspection of tissues using a light microscope is the primary method of diagnosing many diseases, notably cancer. Highly multiplexed tissue imaging builds on this foundation, enabling the ...

Applied statistics : from bivariate through multivariate techniques by Warner, Rebecca M Publication date 2008 Topics ...

This project applies multivariate statistical methods and machine learning techniques to identify the key factors associated with employee turnover and to classify employees according to their ...

Richard Goldfarb ’81 M.S. (geohydrology) has a few stories that he said probably shouldn’t be told about the hijinks he got ...

Retrofitting legacy bioprocessing equipment with modern PAT tools requires targeted sensor, software, and change-control ...

The application of advanced statistical methods in infectious diseases has never been more pertinent than during the recent COVID-19 pandemic. Traditional ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

The multifactor logistic regression analysis indicated that a history of diabetes, low preoperative albumin, and ...

It appears that the List of All Adversarial Example Papers has been experiencing crashes over the past few days. In the absence of this valuable resource, staying up-to-date with the latest research ...