Research Project on Earth's Shape and Neural Networks
This research project delves into the shape of the earth using scientific methods and neural networks to explore underexplored aspects. The study includes defining the problem, research design, methods, results, conclusions, and acknowledgements.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. Download presentation by click this link. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
E N D
Presentation Transcript
2021 NSF UHCS REU <Title of your Project> <Your name> Advisor: <The name of your advisor>
Problem Define the problem Explain its scientific or application importance Situate it in the literature Outline underexplored aspects of the problem that your research seeks to address 2
Research Design Operationalize your research by listing specific research questions and/or hypotheses and/or application objectives RQ1: Is the earth round? In a research question you look for an answer H1: The earth is round [and I will prove it] In a hypothesis you suspect what the answer is, and you just want to make sure AO1: I will build an earth In an application objective you develop a system 3
Methods METHOD 1: I will build the XYZ dataset METHOD 2: I will run the WOW deep neural net on the XYZ dataset METHOD 3: I will compute the ABC goodness metrics to shed light on WOW s output 4
Results Visual results Descriptive results Modeling results 5
Conclusions & Discussion RQ1 seems to have this answer If I had more data, I would have been surer 6
Acknowledgements The REU project is primarily sponsored by NSF under awards CNS-1551221 and CCF-1950297 The UH College of Natural Sciences and Mathematics provides additional financial support 7
