Mạng U-Net đa đầu ra để phân đoạn và phân loại bệnh phổi sử dụng bộ dữ liệu X-quang ngực
Student Projects
SỐ GIỜ HỌC SINH / MENTOR LÀM VIỆC CÙNG NHAU
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DỰ ÁN HOÀN THÀNH
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LĨNH VỰC NGHIÊN CỨU
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Y tế
Một khung mô hình có thể giải thích được để dự đoán nguy cơ mắc bệnh Xơ cứng teo cơ một bên (ALS) dựa trên đa hình đơn nucleotide (SNP) thông qua Học máy có giám sát
by Shaila Malkani, Fall Cohort 2021
by Jaiden Schraut, Summer Cohort 2022
Predicting Breast Cancer from Genes
by Kyle Wang, Summer Cohort 2022
Creating a uniform method for diagnosing early stage Parkinson’s Disease
by Anika Doddamane, Summer Cohort 2022
To create a tool that uses segmentation to analyse Neuromuscular Systems
by Alexandre Sauquet, Summer Cohort 2022
To create a tool that uses segmentation to analyse Neuromuscular Systems
by Veer Agarwal, Summer Cohort 2022
Predicting diabetes patients’ chances of re-admission using random forest and deep learning models
by Lejun Deng, Summer Cohort 2022
SOCIAL SCIENCES
Custom Educational Resource Suggestion Software Proposal
by Aditi Sethi, Winter Cohort 2021
Predictive Models of Student College Decision Using Machine Learning
by Kartik Makhija, Winter Cohort 2021
Creation of a tool (CrossWalk) to aid individuals with impaired vision in crossing the road
by Ege Topkoc, Summer Cohort 2022
Genre Classification Based on Audio Waveform of Music
by Ritam Saha, Fall Cohort 2021
GAMING
Analysis of Startcraft 2 Replays to predict features impacting the League Index
by Sweeny Han, Summer Cohort 2022
Comparing and evaluating the decision making process of humans and a reinforcement learning agent in Texas Hold’em Poker
by Joon Seok Kang, Summer Cohort 2022
APPLICATIONS FOR DEEP LEARNING
Efficient Natural Language Processing Deep Neural Network Design
by Sandrene Sy, Summer Cohort 2022
ENVIRONMENT
Using AI to Identify Marine Debris
by Victoria Wahlig, Summer Cohort, 2022
Detecting Tweets Relating to Disasters Using Natural Language Processing
by Mert Iren, Summer Cohort 2022
Classifying Hazardous and Non-Hazardous Asteroids Using Machine Learning
by Trotter McLemore, Summer Cohort 2022
Hourly Short-range Forecasting and Prediction of Extreme Events
by Mira Nuthakki, Summer Cohort 2022