DSC Archive

In order to help vineyards in the Finger Lakes region with frost prediction, we built a Hidden Markov Model matching algorithm that computes log-likelihood scores between seasons. We implemented seasonal grouping in this approach.

Author Jingyan Yu Lucy Chen Xinyi Liu Veronica Chistaya Advisor Cantay Çalışkan, PhD Sponsor Jack Bramley and Irena P. Boyce, Ph.D Overview Working closely with the UR Medicine Quality Institute,…

DiscSense is aiming to advance athletes' throwing skills through the development of a gyroscopic sensor that tracks the end conditions of throws. Throughout our capstone project, we concentrated on building a classification model that will aid athletes in recognizing patterns of successful throws and pinpoint prevalent errors.

Author Sponsor Dr. Zidian Xie Instructor Professor Ajay Anand Professor Cantay Caliskan Abstract In the digital age, Twitter has emerged as ancentral arena for public health issues, particularly those involv-ing…

Author Mentor Professor Anand Abstract Investors and the public alike are becoming increasingly interested in companies’ Environmental, Social, and Governance (ESG) policies. Companies that perform well in ESG tend to…

Our new approach uses Major Code, lessening the total codes from 850 to 23. In Major Classification, we used input layer and embedding as well as 2 hidden layers. For Job Title Classification by Major, we used Random Forest to output based on Majority Voting.

Our hierarchical approach uses Major Code, lessening the total codes from 850 to 23. In Major Classification, we used input layer and embedding as well as 2 hidden layers. For Job Title Classification by Major, we used Random Forest to output based on Majority Voting.

1. Introduction Investment, based on the definition of Robinhood (one famous online brokerage platform), is the attempt to buy assets (stocks, real estate, etc.) with own resources (money or credit)…

DSCC383 Group I Team Youssef Ouenniche, Ian Kaplan, Michael Kingsley, Goutham Swaminathan, Shiva Rahul Edara Advisor: Professor Ajay Anand | Sponsor: Dr. Zidian Xie Analysis & Modeling Background: Opioid Use…

Team Members Runtao Zhou, Qihao Yun, Jiahang Wu, Zhengyuan Wang, Mengmeng Yu Project Sponsor Dr. Zidian Xie Project descriptions and motivation Our project aims to explore the public’s perception of…

Team Team Member Major Amanda Pignataro B.S. in Data Science Avery Girksy B.S. in Data Science Ryan Hilton B.S. in Data Science Vaarya Srivastava B.S. in Data Science Mentor Prof.…

Our project is to aid in the development of a pickleball analytics platform by improving ball detection and tracking. The baseline model used is a TrackNetV2 (Sun et. al. 2020) model trained on badminton, and the purpose of this project is to adapt the model by using transfer learning techniques to improve its performance in pickleball.