A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives

Non-intrusive reduced-order modeling with geometry-informed snapshots. Current based registration is applied to compute the diffeomorphism between snapshots.

cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.

"Welcome to my Java Selenium Test Automation Framework! Developed from scratch, this framework utilizes TestNG, Maven, Apache POI, and Excel Data Reader. With a robust Page Object Model implementation, it offers seamless test case management and maintenance. Experience the benefits of TestNG, including parallel execution and flexible reporting.

Step-by-step construction of the Naive Bayes classification model.

This repository is for Jarvis Bulldog Team of FacutyHack@Gateways23 with SGX3.

This repository is a supplementary documentation for the Multi-Model Parameterized Koopman (MMPK) framework capturing results through software and hardware deployments

Five-point stencil Convolutional Neural Networks (FCNNs)

Web-Map + Database - Global Storm Surge Reconstructions (GSSR)

Modeling Heat Conduction with Two-Dissipative Variables: A Mechanism-Data Fusion Method

These are a few frameworks using Apache POI for Selenium in Java, linking data from Microsoft Excel.

COMMIT-NILM: COMputational MonItoring Tool for NILM Algorithms

Deep neural networks have garnered tremendous excitement in recent years thanks to their superior learning capacity in the presence of abundant data resources. However, collecting an exhaustive dataset covering all possible scenarios is often slow, expensive, and even impractical. The goal of this project is to devise a new learning framework th…

Repository with MIMO data-driven modeling algorithms

The project deals with determining and predicting the type of accident taking place in the city of Austin. The data would help in understanding what possible factors are leading to the accidents based on the severity of the incident that has occurred.

DataKick is a data analysis project that focuses on analyzing Premier League football data. We use machine learning algorithms and statistical models to uncover insights and trends that can help teams and coaches make better decisions.

Page object model with selenium+java+testng

cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.

Statistical Analysis of Socioeconomic Data for Business insights