Background: Although the integration of self-monitored patient data into mental health care offers potential for advancing personalised approaches, its application in clinical practice remains largely ...

Abstract: A well-studied problem in data mining is large itemset mining. To address this problem over very large datasets, several approximate algorithms have been introduced, where an important class ...

This issue proposes developing comprehensive conceptual guides for each sampling method within the scikit-sampling library. While API documentation explains how to use functions, conceptual guides ...

Agricultural soil testing is critical to determining soil’s nutrient concentration and variability across your fields. It is ideal to test your fields’ soil at least every two to three years to inform ...

Introduction There is a high prevalence of mental health problems among university students. Better prediction and treatment access for this population is needed. In recent years, short-term dynamic ...

As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, sell user ...

ABSTRACT: These days, Artificial Intelligence (AI) applications and technologies are widely employed in the education sector and used by students as part of their learning process. To achieve the ...

Monte Carlo Simulations take the spotlight when we discuss the photorealistic rendering of natural images. Photorealistic rendering, or, in layman’s words, creating indistinguishable “clones” of ...

This paper introduces the principle of PPS-based adaptive cluster sampling method and its modified HH estimator and HT estimator calculation method. It compares PPS-based adaptive cluster sampling ...

Center for Biophysics and Quantitative Biology, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States Center for Biophysics and Quantitative Biology, University of Illinois ...