Name: David Enrique Nieves Acarón
Type: User
Company: Florida Institute of Technology
Bio: Computer Engineering major at Florida Institute of Technology working as a research assistant on an AFRL project involving Machine Learning at the Edge.
Twitter: NievesAcaron
Location: Melbourne, FL
Blog: cadas.fit.edu
David Enrique Nieves Acarón's Projects
A school project I was a part of in my Computer Design course based on these specifications: https://github.com/xaviermerino/ECE2551-SoftHardDesign/tree/master/MorseBeeper
Fork aimed at assisting with the splitting of the download.
A course project for estimating the parameters of a Weibull Distribution which models the survival rates of cancer using Maximum Likelihood Estimation
This was a Fall 2020 project for my Multifarious Systems course. The goal of the project was to create a chat room that updates in real-time and is capable of saving messages to a database to be displayed whenever the chat was opened in the future.
This is a project for my Neural Networks graduate course involving the prediction of cryptocurrency prices.
A part of pmd sdk for pico flexx
ReactJS and MySQL solution website for use in a customer's needs for merchandise management in his Puerto Rico business.
A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.
Docker image for Nominatim
100% working container for Nominatim
Nominatim for Kubernetes on Google Container Engine (GKE).
Tool for downloading AudioSet based off MorenoLaQuatra's repository I forked. Credit goes to him for the original idea.
Arduino & C++ based final project for my Computer Design course based on the following specifications: https://github.com/xaviermerino/ECE1552/tree/master/FinalProject
simple Naive Bayes spam filter written in C++ using Qt for GUI
A group project for Florida Tech's MTH5324 (Statistical Modelling) project that analyzes the impact of the Russo-Ukraine war on the economy of several significant geopolitical entities.
Webscraping stellar data using BeautifulSoup and writing to an excel file
Annotated geo-json geometry files for the world
This is a project for my Neural Networks graduate course involving the classification of YouTube video thumbnails.
This is a project for my Neural Networks graduate course involving the prediction of a YouTube video's views using a feed forward neural network. This approach was part of the requirements for the project, as I am well aware that there are many more factors that could be efficiently analyzed by other type of neural network architectures. Read the report for more details.