Automatic Detection of Abnormal Body Conditions for Dairy Cattles
Author Mentor Professor Ajay Anand Sponsor Zalliant Abstract Zalliant wants to quickly detect abnormal events happening on cattle to increase dairy cow milk production efficiency. Thus, the goal of this…
Seasonal Weather Forecasting in the Finger Lakes Region
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.
Strategies Exploration For Quality Improvement
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,…
Enhancing Disc Sport Performance: Insights and Innovations
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.
URMC-CTSI, Engage Vapor: Strategies from E-cigarette Social Analytics
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…
Predicting 850 Job Title Codes Using Hierarchical Classification
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.
Using Large Language Models to Derive Alternative ESG Rankings
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…
Predicting 850 Job Title Codes Using Hierarchical Classification
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.