Adapters for C# implementations finding the shortest paths between two locations. This is useful for travel routing when you want to minimize the total time or total distance.

ARでお金を数える - ARKitで紙幣を集計するアプリ -

Time Series Forecasting & Linear Regression Modeling

Using Time-Series Forecasting and Linear Regression Modeling to predict future movements of the Japanese yen versus the U.S. dollar.

Yens Algorithm and First Fit Implementation made for Optical Networking discipline.

Adapters for Java implementations finding the shortest paths between two locations. This is useful for travel routing when you want to minimize the total time or total distance.

Time Series and Linear Regression analysis based on YEN and USD movements

This project aims to predict future yen prices using time-series models such as ARIMA as well as making out of sample and in sample predictions on Python

For a units conversion project, I created a currency exchange program called "Welcome to the Foreign Currency Exchange! 💱". My to_USD() function converts currency (Japanese yen (¥) into U.S. Dollars ($)) while my to_yen() function performs the opposite conversion.

Using Time Series Analysis and Regression Analysis to determine the volatility of the Yen and when is the optimal time to buy/sell.

Modification of Yen's algorithm for finding paths with a fixed length

Benchmarks for FLS and Yen algorithm

자료구조 및 알고리즘1 팀프로젝트(지하철 최단 경로) 결과물입니다.