Physics can feel inscrutable to students; this lesson helps them understand a graphing problem by analyzing their own ...

Abstract: Label distribution learning (LDL), leveraging the label significance (LS), is more appropriate for solving label ambiguity problems than multilabel learning (MLL). However, directly ...

Abstract: In this paper, the design and application of Hermite polynomial graph filter is studied. First, the basics of graph signal processing (GSP) is briefly reviewed and the design problem of ...

I completed this project over the 2023 Winter Break, before I started using GitHub. I have retroactively added it now, especially as there is potential for more work to be done on it in the future.

Uses data from multiple countries and polynomial regression algrothims to predict carbon emmisions in 2050. Also creates a 3D graph to vizualize the last 20 years of Canada's GDP, and Canda's Carbon ...

For years, a French mathematician searched for a proof that a gigantic number is prime. His method is still used 150 years ...

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Chip Stapleton is a Series 7 and Series ...

NRA contribution data is from the 1998 through 2018 Congressional cycles and does not include individual expenditures or communication costs.

Joseph Nguyen is a contributing author at Investopedia and a research analyst with experience at a securities brokerage firm. Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial ...