Abstract: In outlier hypothesis testing, one aims to detect outlying sequences among a given set of sequences, where most sequences are generated i.i.d. from a nominal distribution while outlying ...
A Python-based particle detection and counting system for nanoparticle assay images using a multiple-hypothesis testing approach and information-theoretic model selection. Publication: Details of the ...
James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...
Software testing is the act of examining the artifacts and the behavior of the software under test by validation and verification to make sure it works. Software testing can also provide an objective, ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Anyone who has had a job that required ...
Learn fast by democratizing testing. by Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley For years online experimentation has fueled the innovations of leading tech companies ...
Explore the step-by-step scientific workflow behind drug discovery, from formulating hypotheses to analysing data, ensuring accurate and reliable results. In drug discovery and biological research, ...
Department of Chemistry and Biochemistry, Bailey College of Science and Mathematics, California Polytechnic State University, San Luis Obispo, California 93407, United States Scientific software ...
Abstract: This work explores the application of hypothesis testing to enhance anomaly detection in time series data from the cigarette cutting production process, aiming to improve detection accuracy ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results